Scaling UP -R20

SCALING UP
Local to Global Climate Action

By Yale University, in collaboration with R20 Regions of Climate Action, The Stanley Foundation,
USC Schwarzenegger Institute for State and Global Policy.
Angel Hsu
Director of the Yale Data-Driven Environmental Solutions Group
Assistant Professor of Environmental Studies at Yale-NUS College
Adjunct of the Yale School of Forestry & Environmental Studies
Kaiyang Xu
Researcher, Yale Data-Driven Environmental Solutions Group
Amy Weinfurter
Research Fellow, Yale Data-Driven Environmental Solutions Group
Stefanie Wnuck
Researcher, Yale Data-Driven Environmental Solutions Group
Scaling Up:
Local to Global Climate Action
December 2015

Acknowledgements
We wish to thank the following individuals for their contributions to this report. Their feedback
and guidance was invaluable, and their contributions and participation greatly improved this
paper. Any remaining mistakes are our own.
• David Albertani, Program Director, R20 Regions of Climate Action
• Dr. Felipe Bittencourt, Director, WayCarbon
• Ana Caetano, Executive Secretary, Municipal Committee on Climate Change and Eco-effi-
ciency, City of Belo Horizonte, Brazil
• William Dean, Office of the Secretary, Climate Change Unit, CalEPA
• Dr. Todd Edwards, Program Officer, Climate Change, Stanley Foundation
• Kristina Haddad, Director for USA, R20 Regions of Climate Action
• Bing Han, Senior Manager, China Emission Exchange
• Nesamani Kalandiyur, Air Resources Board, Air Quality Planning and Science Division
Transportation Analysis Section, Manager, CalEPA
• Qiuping Li, Director for Asia, R20 Regions of Climate Action
• Yin Lin, Vice Director, China Emission Exchange
• Lavender Luo, Project manager, China Emission Exchange
• Christophe Nuttall, Executive Director, R20 Regions of Climate Action
• Aromar Revi, Director, Indian Institute for Human Settlements
• Sarang Shidore, Visiting Scholar, Lyndon B. Johnson School of Public Affairs
The University of Texas at Austin
• Kartikeya Singh, Asian Affairs, Department of Energy - International Affairs
• Terry Tamminen, Strategic Advisor to the Founding Chair, R20 Regions of Climate Action
• Denise Welch, Director of Research & Technical Initiatives, R20 Regions of Climate Action
• Mark Wenzel, Office of the Secretary, Climate Change Adviser, CalEPA
Design and Layout
• Carla O’Donnell, Communications Director, R20 Regions of Climate Action
Cover
• Michelle Lee, Graphic Design/Data Visualization Student Associate,
Yale Data-Driven Environmental Solutions Group
Images
• Kate Evans for CIFOR (Flickr)
• Alex Lang (Flickr)
• Freepik
• iStockphotos
• R20 MED
• Getty Images
• Wolfgang Meinhart (Hamburg)

About Yale University
Since its founding in 1701, Yale has been dedicated to expanding and sharing knowledge, inspir-
ing innovation, and preserving cultural and scientific information for future generations.
Yale’s reach is both local and international. It partners with its hometown of New Haven, Connecti-
cut to strengthen the city’s community and economy. And it engages with people and institutions
across the globe in the quest to promote cultural understanding, improve the human condition,
delve more deeply into the secrets of the universe, and train the next generation of world leaders.
www.yale.edu
About the Stanley Foundation
The Stanley Foundation advances multilateral action to create fair, just, and lasting solutions to
critical issues of peace and security. The foundation’s work is built on a belief that greater inter-
national cooperation will improve global governance and enhance global citizenship. The organi-
zation values its Midwestern roots and family heritage as well as its role as a nonpartisan, private
operating foundation. The Stanley Foundation does not make grants.
www.stanleyfoundation.org
About R20
R20 Regions of Climate Action is a non-profit organization founded by Arnold Schwarzenegger
and other global leaders, in cooperation with the United Nations.
Our mission is to help sub-national governments around the world to develop and communicate
low-carbon and climate resilient economic development projects. We do so by working in three
primary aspects of development: policy, technology, and finance.
www.regions20.org
About the USC Schwarzenegger Institute
The USC Schwarzenegger Institute for State and Global Policy is committed to advancing
post-partisanship, where leaders put people over political parties and work together to find the
best ideas and solutions to benefit the people they serve. The Institute seeks to influence public
policy and public debate in finding solutions to the serious challenges we face. While the Institute
engages on a variety of critical policy areas, a primary focus is climate change, which reflects
Governor Schwarzenegger’s leadership on the issue and it being one of the defining challenges
of our generation.
www.schwarzeneggerinstitute.com
About us

Scaling Up: Local to Global Climate Action8
Non-state and sub-national actors are undertaking ambitious initiatives designed to cut
carbon emissions and promote clean development. These actions occur alongside
official, state-centric negotiation processes, and the impressive results are garnering
international attention. These programs have the potential to raise national ambition;
spur additional mitigation, adaptation, and climate financing; and inject an emphasis
on solutions-directed efforts into the public dialogue on climate change.
Many of these non-state efforts surpass national climate policies and actions in scope
and ambition. However, data demonstrating sub-national efforts’ contribution to na-
tional and global climate mitigation have, until recently, been scarce. Sub-national ini-
tiatives’ integration and alignment with national climate mitigation goals is also largely
unknown, particularly when these efforts go beyond existing national policies and re-
quirements. British Columbia’s carbon tax and Shenzhen’s emissions trading scheme,
for instance, introduce policies that are not echoed in Canada and China’s respective
national climate mitigation efforts. If adopted nationally, these initiatives would contrib-
ute significantly to country-level mitigation goals.
This paper compiles nine in-depth case studies of sub-national climate mitigation pro-
grams that exceed or lead national policy directives. From California to Rajasthan, In-
dia, these case studies reveal a range of local partnerships that exhibit strong climate
leadership. In addition to examining the policy frameworks that make these accom-
plishments possible, we calculate each featured initiatives’ potential mitigation impact
if it were scaled to the national level. Our findings demonstrate these sub-national
climate actions’ capacity to contribute to national 2020 mitigation goals. Each sub-na-
tional action may seem insignificant in isolation, but our analysis demonstrates how
these local and regional climate initiatives could expand to greater scale and raise
ambition for national efforts.
We find that these efforts, in total, could reduce 2020 emissions from the eight coun-
tries featured in this report by 1 gigaton, compared to a business-as-usual scenario.
A projected 8 to 10 gigaton gap stands between existing national climate pledges and
the additional actions needed to maintain a least-cost 2 degrees Celsius trajectory
of global temperature rise. The sub-national climate actions described in this report
could narrow the difference by approximately 10 percent, if adopted by their respec-
tive countries.

9
Sub-national actors are reducing emissions through a range of initiatives, including:
• Adopting ambitious renewable energy targets: Rajasthan’s installed solar
capacity is the largest among all the states in India, accounting for more than
one-quarter of the country’s total. If Rajasthan’s rate of solar energy expansion
were scaled to the national level, India’s carbon dioxide emissions would decrease
by 0.398 gigatons, an amount equal to approximately 19 percent of the nation’s
total carbon dioxide emissions in 2012.
• Reducing deforestation rates faster than the national pace: More than
three-quarters of emissions from Acre, the third-smallest of Brazil’s 27 states,
come from the land-use, land-use change and forestry sector. With a target to
reduce deforestation 80 percent by 2020, Acre has already achieved 63 percent
of its goal, which translates to 62 million tons CO2e. When scaled nationally these
efforts could contribute 31 percent to Brazil’s 2020 greenhouse gas reduction am-
bition.
• Setting prices on carbon, through the use of taxes and emissions trading.
The Canadian province of British Columbia has had a carbon tax, covering all
fossil fuel combustion, in place since 2008. The tax targets a key source of British
Columbia’s contributions to climate change; fossil fuel combustion accounted for
71 percent of the province’s total greenhouse gas emissions in 2012. If Canada
were to adopt a nationwide carbon tax, it could achieve 35 percent of the country’s
2020 reduction goal. And in China, the city of Shenzhen has adopted a pledge to
peak emissions in 2022 and a 21 percent carbon intensity reduction goal – greater
than the national 2015 carbon intensity target of 16 percent. Shenzhen’s emis-
sions trading scheme covers 40 percent of citywide emissions. If scaled nationally,
it could contribute reductions of nearly one-fourth of the 1 gigaton total savings
cited in this report.
EXECUTIVE SUMMARY

INTRODUCTION
INTEGRATED SOLID WASTE MANAGEMENT IN ORAN, ALGERIA
FOREST CONSERVATION IN ACRE, BRAZIL
WASTE TO ENERGY IN BELO HORIZONTE, BRAZIL
BRITISH COLUMBIA’S CARBON TAX
ADVANCED CLEAN CARS PROGRAM IN CALIFORNIA, USA
EMISSIONS TRADING IN SHENZHEN, CHINA
HARNESSING INDUSTRY IN HAMBURG, GERMANY
SCALING UP SOLAR POWER IN RAJASTHAN, INDIA
ENERGY EFFICIENCY IN CAPE TOWN, SOUTH AFRICA
CONCLUSION
REFERENCES
APPENDIX
13
18
24
30
36
42
48
56
62
70
76
82
90

Over the last two decades, non-state (businesses and civil society groups, for in-
stance) and sub-national (cities, states, and regions) actors have undertaken ambi-
tious initiatives designed to cut carbon emissions and promote clean development.
These actions fall outside of official, state-centric negotiation processes, and the im-
pressive results are garnering international attention. The programs have the potential
to raise national ambition; spur additional mitigation, adaptation, and funding; and
inject an emphasis on solutions-directed efforts into the public dialogue on climate
change. Non-state and sub-national actors are able to innovate and experiment where
states are unwilling to take necessary risks (Hoffmann, 2011).
New non-state and sub-national climate actions are proliferating in number, and these
initiatives’ scope and scale are expanding to encompass greater areas and longer
time-horizons than earlier policies. The Non-State Actor Zone for Climate Action
(NAZCA), launched at the Lima COP-20 Climate Conference in December 2014, has
recorded 4,404 “commitments to action” to date.1
The commitments include a wide
range of collaborative projects in various geographies, spanning more than a dozen
sectors – energy efficiency and carbon pricing, to name two – and incorporating cities
and regions that account for 12 percent of the global population. The aggregate 2014
market value of companies included in NAZCA totaled $8.57 trillion USD, equal to the
combined GDPs of Australia, Brazil, Canada, France and Turkey (Cheng et al., 2015).
NAZCA also tracks transnational networks, including the Compact of Mayors and the
related Compact of States and Regions, which link together city mayors and gover-
nors to share climate mitigation strategies and galvanize collective action.
Non-state and sub-national climate actions’ growing momentum could contribute sig-
nificantly to narrowing the emissions gap – the difference between the reductions
countries have pledged and the cuts needed to maintain a global temperature rise of
less than 2 degrees Celsius (UNEP, 2014). Early analysis of nationally determined
contributions (INDCs) indicates that these climate action pledges will fall short of the
efforts needed to maintain a least-cost scenario for containing global temperature rise
within a “safe” zone. A further 12 to 15 gigatons of carbon dioxide equivalent (CO2e)
mitigation is needed by 2025, and the reductions pledged by the 125 INDCs submitted
so far2
are insufficient for the task (Climate Action Tracker, 2015). Given this discrep-
ancy, non-state and sub-national action could contribute a critical piece to the playing
field.
The total contribution from non-state and sub-national actors is open to interpretation,
and the latest research suggests a range of potential mitigation impacts from these
groups. A study published in Nature Climate Change evaluated commitments made
by non-state, sub-national, and national actors at the New York Climate Summit, and
found that the Summit’s 29 commitments could bridge the 2020 emissions gap by
one-fifth, or 2.5 Gt CO2e (Hsu et al., 2015). The UN Environment Programme (UNEP)
assessed 15 of the “most ambitious and specific” international cooperative initiatives
(ICIs) recorded in the Climate Initiatives Platform and determined they could cut the
2020 emissions gap by nearly a third, or 2.9 Gt CO2e (UNEP, 2015).
1 As of November 1 2015.
2 According to Climate Action Tracker’s analysis, the INDCs submitted as of October 1, 2015, still
leave a significant gap (of 11- 13 gigatons of carbon dioxide equivalent) between projected emissions and
a 2-degree pathway in 2025.

Ecofys and the Cambridge Institute for Sustainability Leadership evaluated five pri-
vate sector initiatives – the Cement Sustainability Initiative, en.lighten, Tropical For-
est Alliance 2020, Refrigerants, Naturally! and WWF Climate Savers Program – and
forecast a 200 Mt reduction in 2020. If these efforts were brought rapidly to scale, the
study finds that their impact could grow to 500 Mt by 2030, an amount equivalent to
the annual emissions of 131 coal-fired power plants (US EPA, 2015).
These analyses provide a perspective for understanding the impact of select initia-
tives, yet each shows only one piece of the global picture. Assessment methodolo-
gies, criteria, and scope vary from study to study, meaning the gigatons cannot be
combined, nor the mitigation impacts compared. This shortcoming is in part due to
non-state and sub-national actions’ voluntary nature. A lack of consistent reporting
methods and platforms results in piecemeal information, which analysts must use to
make sense of who is doing what, and where. Recent efforts, such as the Global Pro-
tocol for Community-Scale Greenhouse Gas Emissions, attempt to better harmonize
data collecting and reporting. While these programs are an important first step towards
more robust data, we need additional initiatives, focused specifically on encouraging
and incentivizing sub-national and non-state actors to voluntarily release climate data.
These efforts are crucial to preventing greenwashing and the discrediting of future
non-state efforts (Hsu and Weinfurter, 2015). Chan et al. (2015) propose a promising
solution: a collaborative framework that would compile consistent information on non-
state and sub-national climate actions to allow for transparency, benchmarking, and
data harmonization.
This paper compiles nine in-depth case studies that showcase the ways sub-national
governments are undertaking climate mitigation programs independent of or ahead
of national policy directives. From California to Rajasthan, India, these case studies
describe a range of local partnerships exhibiting climate leadership. In addition to
examining the policy frameworks that make these accomplishments possible, we cal-
culate the featured initiatives’ potential impact if scaled to the national level, demon-
strating these sub-national climate actions’ great capacity to contribute to countries’
2020 mitigation goals. Each sub-national action may not seem significant in isolation,
but the goal of our analysis is to demonstrate how these local and regional climate
initiatives can expand to larger scales and raise the ambition of national efforts. We
selected the nine case studies by identifying priority countries, both developed and
developing, where sub-national and non-state actions are underway. We also nar-
rowed our focus in response to the availability of data that would enable us to assess
sub-national programs’ mitigation contributions and their future potential to be scaled
up to address national 2020 goals. We interviewed in-country experts directly involved
with the climate actions and programs and collected both primary and secondary data
to estimate future mitigation impact. Where countries have pledged absolute 2020 mit-
igation targets (e.g., the United States, Canada, and Germany), we made reference
to how the sub-national case study contributes directly towards the national goal. For
countries in which 2020 targets are articulated on an intensity basis (carbon emissions
per unit GDP), we calculated sub-national mitigation impact using business-as-usual
2020 emission projections (see Appendix: Supplementary Information).

15
Figure 1. Map of the nine city and regional climate action case studies considered
in this report.
INTRODUCTION
Belo Horizonte, Brazil
WASTE
Algeria, Oran
WASTE
Cape Town, South Africa
ENERGY EFFICIENCY
Hamburg, Germany
INDUSTRY
Acre, Brazil
FORESTRY AND LAND USE
California, United States
TRANSPORTATION
Rajasthan, India
RENEWABLE ENERGY
Shenzhen, China
EMISSIONS TRADING
British Columbia, Canada
CARBON TAX

A MODEL FOR
INTEGRATED SOLID WASTE
MANAGEMENT IN ORAN, ALGERIA

Overview
• Expanding Oran’s waste sorting program could reduce the nation’s annual emis-
sions by 11 million tons of carbon dioxide, or roughly 4.3 percent, from 254 million
tons to 243 million tons, in 2020.
• Expanding Oran’s waste management program to the national level between 2015
and 2020 would reduce the country’s carbon dioxide emissions by as much as 52
million tons, enough to power 4,744,526 million American homes for one year.
• Oran’s expanded waste management efforts have the potential to create a vast
number of domestic jobs.
Jumpstarting Algeria’s Waste Management Strategy
Solid waste is a mounting global environmental and human health hazard. The World
Bank predicts that municipal solid waste generation will nearly double by 2025, rising
from the current rate of 1.3 billion tons per year, to 2.2 billion tons per year (World
Bank, 2012). We see this trend in Algeria, a North African nation of 40 million, where
waste management is a rapidly growing challenge. The country’s population is con-
centrated in the north, where there are approximately 300 people per sq. km – com-
pared to a national average of 13. The desert nation is rapidly urbanizing, at a rate of
65 percent , creating a convergence of environmental problems, waste management
chief among them (SWEEP-Net, 2010).
Population pressures have led to the formation of thousands of uncontrolled landfills
and dumps with which local communities struggle to cope. A Ministry of Land Plan-
ning and the Environment (MATE) survey found more than 3,000 dumps, occupying
more than 150,000 hectares, spread across the country. These sites are commonly
situated on or near agricultural land and dry rivers, where they pose significant health
and environmental risks (SWEEP-Net, 2010).
Algeria has, despite its troubles, made great strides in managing its solid waste prob-
lem. Its implementation of the National Program of Municipal Waste Management
(PROGDEM) in 2002 marked an important turning point. PROGDEM supports a
range of projects, including landfills, sorting centers, and master plans for cities, all
designed to tackle waste management challenges, mostly at the municipal level. Be-
tween 2002 and 2014, PROGDEM helped build 32 landfills and 29 sorting centers; re-
habilitate 101 unauthorized dumps; and establish waste management plans for 1,223
of Algeria’s 1,541 cities (SWEEP-Net, 2014).
From 2010 to 2014, solid waste service coverage increased by about 5 percent in
both rural and urban areas (SWEEP-Net, 2013 & SWEEP-Net, 2014). Municipal solid
waste services currently reach 85 to 90 percent of Algeria’s urban population, and
between 65 and 70 percent of citizens living in rural areas. Sixty to 70 percent of the

19INTEGRATED SOLID WASTE MANAGEMENT IN ORAN, ALGERIA
collected waste ends up in dumps, while 30 to 40 percent reaches a landfill. These
statistics put Algeria ahead of the curve for developing countries; on average, 30 to 60
percent of the urban solid waste in developing nations remains uncollected, and less
than 50 percent of the population in these countries are served (World Bank, 2011).
Collection rates range, globally, from a low of 41 percent in low-income countries, to a
high of 98 percent in high-income countries (World Bank, 2012).
Algeria has made steady progress expanding its waste collection services, and the
nation now needs to develop holistic waste management strategies that incorporate
sorting, recycling, composting, and energy generation. Approximately one percent
of collected waste is composted, and only seven percent is recycled (SWEEP-Net,
2014). Without significant recycling and composting programs the nation’s landfills
swell, exacerbating environmental and public health hazards. The government also
misses opportunities to generate income through recycling, re-use, and waste conver-
sion to energy. Establishing robust and reliable waste streams is a key first step to
attracting private sector investment to a waste management industry.
Building a Foundation for Waste Management in Oran
In Oran, Algeria’s third largest wilaya (province), an effort to build a holistic waste
management structure is underway. Eighty percent of Oran’s municipal solid waste
is collected, but very little of it is recycled (Bouhadiba et al, 2014). The Algerian gov-
ernment, local authorities, and the non-governmental organization R20 Regions of
Climate Action (R20) are collaborating to expand waste sorting and recycling, which
will form the foundation for additional composting, incineration, and waste valorization
programs. David Albertani, R20’s Program Director, explains that while past projects
have attempted to support waste management efforts in Oran, few took on the whole
supply chain. Waste was sorted only to be re-mixed by trucks; sorting bins were
installed without building community support and awareness of the value of sorting.
Albertani attributes the new project’s success, in part, to a broad and intensive out-
reach effort conducted before collection got underway (D. Albertani, personal commu-
nication, July 2015).
R20’s program operates in conjunction with Oran’s local government, trash collec-
tion agency, and sorting center, implementing a door-to-door outreach campaign to
engage with and inform 8,000 households on the economic benefits that waste sort-
ing and recycling brings to the larger community (R20 Regions of Climate Action,
2015). R20 also held two workshops that taught 125 local professionals, including
teachers, imams, association members, and housekeepers, about the profitable as-
pects of waste management, helping these professionals become stewards of the
program. This engagement led to an 80 percent waste sorting compliance rate in the
AADL Pepiniere and Akid Lotfi neighborhoods where the program was implemented.
The project currently involves some 54,000 residents and diverts approximately 605
kilograms of recyclable materials from the waste stream each day (R20 Regions of
Climate Action, 2015).

The program coordinated with waste collectors to establish new routes and pick-up
times and created two new sorting lines to better separate glass, plastic, paper, card-
board, and metals. These changes created 16 new jobs: four new roles for truck
drivers and 12 positions on the sorting line. The potential for additional job creation,
though the participation of additional neighborhoods, is vast, and the establishment
of a reliable stream of recyclable materials has begun to attract investors from the
recycling industry. Based on the success of the program, R20 has approved funds to
scale the project from 136 bins and 54,000 residents, to over 1,000 bins and 500,000
residents (R20 Regions of Climate Action, 2015).
The Potential Emissions Impact of Oran’s Waste Sorting
Strategy
To estimate this project’s potential impact on a national scale, we multiplied the per
capita greenhouse gas emissions reduction from Oran’s waste sorting program by the
total population of the country. Compared to Algeria’s business-as-usual emissions
pathway (a linear projection of past emissions), expanding Oran’s waste sorting pro-
gram could reduce the nation’s annual emissions by 11 million tons of carbon dioxide,
or roughly 4.3 percent, from 254 million tons to 243 million tons, in 2020. The policy
could lower the country’s carbon dioxide emissions by 52 million tons from 2015 to
2020, enough to offset a year’s worth of carbon pollution emitted by nearly five million
American homes (EPA, 2015).
Broadening Algeria’s Waste Management Strategy
Oran’s contribution to Algeria’s climate goals is only beginning to be felt. Its maturing
sorting and recycling program holds great mitigation potential. If the city commits to
leveraging its waste programs to pioneer a comprehensive approach to turning trash
into treasure it would set a game changing example for the nation. In September
2015, the Wilaya of Oran and R20 will take the first steps towards doing so, by imple-
ment two new plastic recycling and composting programs. They also plan to construct
a new 35.6 MW waste-to-energy facility by 2017. These proposals rely on the knowl-
edge and materials gained from the city’s ongoing sorting and recycling programs.
The new waste management plan also has strong pollution mitigation potential, imple-
menting projects that reducing toxins from the environment and forming the building
blocks of an ambitious, comprehensive waste management strategy.

21
Figure 2. The potential emissions impact of scaling up Oran’s waste management
strategy throughout Algeria.
INTEGRATED SOLID WASTE MANAGEMENT IN ORAN, ALGERIA
Business As Usual (BAU)
Scaling
Oran’s W
aste M
anagem
ent Program
243 million tons
254 million tons
11million
tonsreduced
TOTAL
REDUCTION: 52
M
ILLION
TONS
180
200
220
240
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFALGERIA(MILLIONTONSCO2E)

FOREST CONSERVATION IN ACRE,
BRAZIL

Overview
• Land use change is the largest source of greenhouse gas emissions in Brazil,
accounting for approximately 44 percent of the country’s total emissions.
• As of 2013, Acre had achieved 63 percent of its goal to reduce deforestation 80
percent by 2020, compared to the state’s average deforestation rate from 1996
to 2005. This reduction in deforestation has resulted in a 62 million ton CO2e
reduction.
• Expanding Acre’s forest conservation policies nationwide could help close the gap
between Brazil’s 2020 reduction goals and its emissions trajectory by about 31
percent, lowering 2020 emissions by 0.204 gigatons of carbon dioxide equivalent,
compared to the deforestation reductions Brazil has maintained over the last four
years.
Land Use Change at the Center of Brazil’s Climate Action
Land use change and forestry (LUCF) represents the largest source of greenhouse
gas emissions for Brazil, accounting for approximately 44 percent of the country’s total
emissions (WRI-CAIT, 2014). In Amazonian states, such as Acre, LUCF emissions
comprise an even higher proportion of the region’s total. In 2012, LUCF accounted
for 78 percent of the state’s emissions.
Brazil’s climate action strategy focuses heavily on preserving forests as critical carbon
sinks. In 2004, the nation adopted the Action Plan for the Prevention and Control of
Deforestation in the Land Amazon, which emphasizes monitoring, enforcement, and
coordination across all levels of government to curb deforestation. This policy sets an
80 percent deforestation reduction target for the Amazon, compared to the 1996-2005
historical average of 19,625 square kilometers of forest loss each year.
The country’s National Climate Change Policy, passed in 2009, established a national
target to reduce GHG emissions 36.1 - 38.9 percent below business as usual levels
(including emissions from land use, land use change and forestry) by 2020. This tar-
get is framed as voluntary at the international level, yet Brazil’s National Policy for Cli-
mate Change mandates the creation of sector-specific plans to translate the proposal
into reality (World Resources Institute, 2013). Brazil released its INDC in September,
pledging to reduce its GHG emissions – including LUCF emissions – 37% below 2005
levels by 2025. The country has also pledged to eliminate illegal deforestation and to
restore 12 million hectares of forests by 2030 (World Resources Institute, 2015). The
nation is a recent signatory to the New York Declaration on Forests, a compact that
pledges to halve the loss of natural forests globally by 2020 and to end forest loss by
2030 (NY Declaration of Forests, 2014).

25FOREST CONSERVATION IN ACRE, BRAZIL
Climate Action and Commitments in Acre, Brazil
The Amazonian state of Acre, Brazil, has adopted Brazil’s national deforestation target
at the state level. As the third smallest of Brazil’s 27 states, Acre contains a relatively
small proportion of the Amazon forest, yet the state is a national and international
leader in applying innovative policy mechanisms, such as payments for ecosystem
services models, to slow deforestation. The state has maintained over 86 percent
of its original forest cover (World Wildlife Fund, 2013). By adopting Brazil’s national
deforestation target, Acre is committing to reduce deforestation rates 80 percent by
2020, compared to the state’s average deforestation rate between 1996 and 2005.
Meeting this target means limiting deforestation to an annual loss of 120 square kilo-
meters by 2020 (compared to a baseline loss of approximately 602 square kilometers
per year). In 2013, Acre had achieved 63 percent of this deforestation reduction goal.
This progress is due in large part to Acre’s State System of Incentives for Environmen-
tal Services (or SISA), a groundbreaking law passed in 2010 to combat deforestation
and promote sustainable forest management. Cited as “one of the most advanced
subnational forest carbon programs in the world” (World Wildlife Fund, 2013), SISA
links local communities with international markets, garnering payments for ecosystem
services for forest conservation activities.
This initiative incorporates a set of Environmental Service Incentives for Carbon, which
focus on increasing agricultural and livestock yields to reduce ranching’s expansion
into forests, while also enhancing the economic value of standing forests, improving
the livelihoods of forest-defending communities, and providing forest protection (IPAM,
2012). The primary driver of deforestation in the Amazon is the conversion of lands
for cattle ranching; beef and milk production occurs on 83 percent of deforested lands
(IPAM, 2012). SISA programs seek to reduce the economic incentive for deforestation
and protect intact forest through zoning laws that dictate development. Notably, the
Acre government’s extensive consulting with local communities and civil society orga-
nizations has played a large role in SISA’s success (CIFOR, 2013).
SISA’s incentives include direct assistance, such as fire control, improved monitor-
ing, technical extension programs, and community organization (Governor’s Climate
& Forests Task Force). The State of Acre is also working to create a comprehensive
carbon offset program that allows developed countries to meet their greenhouse gas
reduction targets by purchasing offsets gained from the protection of intact forests and
associated carbon sequestration. The German development bank KfW plans to pro-
vide performance-based payments totaling 19 million Euros over four years through
the REDD Early Movers (REM) program (Verified Carbon Standard). Acre and Cali-
fornia have also signed a Memorandum of Understanding to use carbon offsets from
Acre to help achieve compliance with California’s cap-and-trade program. The Bra-
zilian state is “widely expected to become the first jurisdiction-wide program to deliver
REDD offsets” (Ecosystem Marketplace, 2014).

Expanding Acre’s Deforestation Reduction to Brazil’s Forests
Land conversion is the single largest driver of Brazil’s greenhouse gas emissions, so
expanding comprehensive forest conservation policies, such as Acre’s payments for
ecosystem services model, would dramatically reduce national emissions.
Applying Acre’s demonstrated deforestation reductions across all of Brazil’s forested
areas would lower the country’s 2020 emissions by 368 million tons of carbon dioxide
equivalent. Acre’s enhanced protection, if extended to the rest of Brazil’s forests,
would lower emissions by an additional 204 million tons of carbon dioxide equivalent
compared to the deforestation reductions Brazil has maintained over the last four
years, from 2010 to 2014. This enhanced scenario would save a total of 1,016 million
tons of carbon dioxide equivalent through 2020. Expanding Acre’s forest conservation
policies nationally would help close the gap between Brazil’s 2020 reduction goals and
its emissions trajectory by about 31 percent.
Figure 3. The potential emissions impact of scaling up Acre’s deforestation re-
duction policy throughout Brazil.
Scaling Up Acre’s Deforestation Policy
1.894 Gt
1.690 Gt
0.204Gt
reduced
1.21 Gt
1.16 Gt
2020 Brazil National Emission Reduction Target Range
~30%0.48GtReductionNeeded(Min)
1.25
1.50
1.75
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFBRAZILINCLUDINGLULUCF(GIGATONNESCO2E)

27
Nationalizing Acre’s Policies
SISA helps Acre and Brazil reduce greenhouse gas emissions, and the
program also produces an array of co-benefits. In Acre, the program
will benefit up to 30,000 rural property owners, indigenous peoples, and
other traditional populations. Acre contains 29,488 rural properties, and
SISA will reach nearly all of the rural landowners (World Wildlife Fund,
2013). Forest protection and renewal is crucial for carbon mitigation
and is also an important strategy for climate adaptation, as forests offer
“the best way to buffer against the climate shocks that are affecting the
Southwestern Amazon, by maintaining year-round transpiration to the
atmosphere that can reduce the severity of droughts” (Nepstad et al.
2008) (IPAM, 2012). The forests also provide firebreaks, medicine, wild
game, and resins, in addition to international commodities like timber,
Brazil nut, and rubber (IPAM, 2012).
The lack of a global demand for carbon offsets from forestry projects in
Acre, and in the rest of Brazil, is a challenge that must be addressed
for SISA to be wholly successful. Expanding Acre’s forest protection
programs will require compatibility of REDD+ mechanisms at various
scales (World Wildlife Fund, 2013), and collaboration and coordination
among communities and regional and national governments. The ben-
efits of such an expansion would be extraordinary, and make the case
for setting more aggressive forest protection targets.
FOREST CONSERVATION IN ACRE, BRAZIL

WASTE TO ENERGY
IN BELO HORIZONTE, BRAZIL

Overview
• Belo Horizonte’s installation of a biogas plant on a former landfill – a cornerstone
of its waste management strategy – reduced solid waste’s contribution to Belo
Horizonte’s emissions by 8 to10 percent when it was installed in 2010.
• Expanding Belo Horizonte’s waste management program to the national level
could mitigate 9 million metric tons of carbon dioxide in 2020, cutting the gap be-
tween Brazil’s 2020 reduction goals and its emissions trajectory by one percent.
• From 2015 to 2020, the national expansion of Belo Horizonte’s waste manage-
ment program would save a total of 42 million tons, equivalent to the emissions 11
coal plants produce in a year.
The Challenges of Solid Waste Management in Brazil
Solid waste is a pressing problem in Brazil. In 2001, solid waste production grew
twice as fast as population, swelling by 1.8 percent compared to the nation’s popula-
tion growth rate of 0.9 percent, and weighing in at 62 million tons (Beecheno, 2013).
Opportunities to reduce, recycle and reuse waste are uneven across the country, and
only 32 percent of Brazil’s municipalities have a waste management plan (Beeche-
no, 2013). Without this infrastructure, reducing, reusing, and capturing energy from
waste is impossible in most areas. In 2005, greenhouse gas emissions from waste
comprised 4.76 percent of the nation’s total (United Nations Climate Change Secre-
tariat, 2005). Brazil is the world’s seventh highest emitting nation meaning that a few
percentage points of its total make a significant difference in the global carbon budget
(World Resources Institute, 2014a).
Brazil lacked a clearly defined policy for recycling and solid waste management until
2010, when the National Policy for Solid Waste filled this void, creating a 20-year Na-
tional Plan for Solid Waste, and establishing guidelines, goals, and action programs,
along with a mandatory review every four years. The policy requires states and mu-
nicipalities to develop waste management plans and aims to close the nation’s 2,906
open-air dumps and decrease the overall volume of waste. The plan also established
a reverse logistics policy, which holds producers accountable for addressing and re-
covering waste from their industries.
While the National Policy for Solid Waste is innovative and comprehensive on paper,
implementing its goals has proven difficult. The national government required cities
and states to submit their waste management plans by August 2012 in order to qualify
for credit, financial support and tax relief, yet less than half of all municipalities met
this deadline.

31WASTE TO ENERGY IN BELO HORIZONTE, BRAZIL
Belo Horizonte’s Waste Management Leadership
As the country works to implement local and regional waste management solutions,
Belo Horizonte, the nation’s sixth largest city, has developed an effective approach – a
proven template to emulate. “A pioneer on waste management at the local level since
the 1990s,” reports Green Growth Best Practices, “[Belo Horizonte] took innovative
actions towards more efficient waste management, years before a national policy was
approved ”(Green Growth Best Practices, 2014).
The city’s 1993 Integrated Solid Waste Management Model inspired national-level
policy that legitimized waste pickers, who had long been an informal but integral part
of the waste sector. The model also enhanced energy efficiency and conversion tar-
gets and elevated collection and recycling rates (Green Growth Best Practices, 2014).
Belo Horizonte’s Municipal Urban Cleansing Law, which came into effect in September
2012, codified these new targets, with aims to increase efficiency in waste collection
and recycling, promote social inclusion, create jobs and generate income for city work-
ers (Green Growth Best Practices, 2014).
Biogas Development at the Municipal Waste Treatment
Centre (Centro de Tratamento de Resíduos Sólidos
(CTRS))
Belo Horizonte installed a biogas plant at its Municipal Waste Treatment Centre (or
Centro de Tratamento de Resíduos Sólidos – CTRS) in 2010, contributing the bulk of
greenhouse gas reductions resulting from the city’s waste management strategies.
From 1972 to 2007, CTRS served as the city’s primary landfill and was the munici-
pality’s largest single source of greenhouse gas emissions (IRENA, 2012). Towards
the end of its operation, in 2006, CTRS held over 17.4 million cubic meters of waste,
and stood 64 meters tall at its maximum height (IRENA, 2012). After three years
of planning, the city completed its biogas plant on the site in 2010, and in 2011 the
former landfill supplied 28,000 megawatts of electricity to the city’s grid, enough to
power 35,000 people’s lives for a year (IRENA, 2012). The plant complements the
city’s initiatives in waste sorting, recycling, composting, and community awareness
and education.
The plant’s impact has been dramatic – following its implementation in 2010, waste’s
contribution to Belo Horizonte’s emissions fell by 10 percent (Prefeitura de Belo Hor-
izonte, 2012). The city estimates that building a biogas facility at another landfill,
the Macaubas treatment plant, would have a similarly large impact, reducing approxi-
mately 250 million tons of CO2e per year, equal to 6.5 percent of the city’s total 2010
emissions (Prefeitura de Belo Horizonte, 2012). The carbon savings from the biogas
plant, combined with the city’s complementary waste management strategies, sub-
stantially contribute to Belo Horizonte’s progress towards reaching its goal of reducing
emissions 20 percent below 2007 levels by 2030.

Bringing Belo Horizonte’s Waste Management Policy to a
National Scale
Figure 4. The potential emissions impact of scaling up Belo Horizonte’s waste
management strategy throughout Brazil.
W
ith Solid W
aste Policy
564 million tons
555 million tons
9 million tons
reduced
TOTAL
REDUCTION: 42
M
ILLION
TONS
440
480
520
560
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFBRAZILEXCLUDINGLULUCF(MILLIONTONSCO2E)

33
If scaled nationally, Belo Horizonte’s biogas program would lower Bra-
zil’s emissions by 9 million tons in 2020 – from 564 million to 555 million
tons – reducing the gap between Brazil’s 2020 mitigation goals and its
emissions trajectory by one percent. From 2015 to 2020, this expan-
sion of biogas would save a total of 42 million tons, equivalent to the
emissions 11 coal plants produce in a year.
Biogas as a Key Piece of the Waste Management Puzzle
The world’s cities produce some 1.3 billion tons of solid waste each year
(Green Growth Best Practices, 2014), and this quantity is projected to
grow to 2.2 billion tons by 2025. Many developing nations are making
strides in their waste collection efforts, yet waste’s disposal and treat-
ment remains a hazard and an often-untapped opportunity.
Belo Horizonte’s success demonstrates biogas’s potential to reduce
carbon emissions, expand energy and electricity access, and improve
urban sanitation. This plant also created a new source of revenue for
the city through the United Nations Framework Convention on Climate
Change’s Clean Development Mechanism (CDM), a program that en-
ables developed countries to purchase certified emission reduction
credits from developing countries.
Realizing biogas’s benefits throughout Brazil will require additional fi-
nancing, the creation of a comprehensive waste management system,
and access to technical and logistical know-how. Biogas is only one of
a suite of waste management solutions – a set that includes enhanced
collection, waste sorting, waste reduction, and composting and recy-
cling initiatives. Even so, biogas’s emissions reduction potential is a
loud call for mobilizing resources to implement similar strategies both
in Brazil and beyond, and a demonstration of the economic benefits of
doing so.
WASTE TO ENERGY IN BELO HORIZONTE, BRAZIL

BRITISH COLUMBIA’S CARBON
TAX

Overview
• British Columbia’s carbon tax covers nearly all emissions from fossil fuels, which
account for an estimated 70 percent of the province’s entire greenhouse gas
emissions.
• Since the carbon tax’s introduction, British Columbia’s fuel consumption has de-
creased, even as its GDP grew faster than the national GDP.
• If Canada were to adopt a similar carbon tax at the national level, the policy would
reduce the country’s emissions by 265 million tons of carbon dioxide equivalent
from 2015 to 2020. Expanding the carbon tax shift model throughout the country
would help close the gap between Canada’s 2020 reduction goals and its emis-
sions trajectory by over a third – or about 35 percent.
Canada’s Wavering Climate Action
Canada’s record in combatting climate change is mixed. The nation withdrew from the
Kyoto Protocol in 2012 and did not meet its target to reduce greenhouse gas emis-
sions six percent below 1990 levels from 2008 to 2012. Climate Action Tracker, which
evaluates national climate commitments, notes that Canada’s 2020 target, which aims
to reduce greenhouse gas emissions 17 percent below 2005 levels by 2020, and its
2030 target, which aims to lower emissions 30 percent below 2005 levels, fall short
of the action needed to ensure that global temperatures do not rise above the cata-
strophic 2-degrees Celsius threshold (2015).
The government has in recent years instituted a range of programs and initiatives to
address the nation’s largest sources of GHG emissions – transportation and electricity
generation – which have laid the groundwork for bolder action. The 1999 Canadian
Environmental Protection Act, for instance, enables the federal government to regu-
late GHG emissions. From 2005 to 2013, Canada’s GHG emissions decreased 3.1
percent, while the economy continued to grow by 12.9 percent (Government of Can-
ada, May 2015). This trend towards a decarbonized economy results from Canada’s
clean electricity generation sector: 79 percent of the country’s electricity comes from
non-emitting sources, making power generation in Canada among the cleanest in the
world (Government of Canada, May 2015).
Canada’s energy sector is, however, a mixed bag when it comes to climate mitigation,
and overall the country’s actions fall short of what is needed to prevent dangerous
climate change. As the national government wavers in its efforts to tackle climate
change, provinces play an increasingly prominent role, piloting ambitious and inno-
vative strategies to cut emissions. The province’s public sector has achieved carbon
neutrality (British Columbia Ministry of Environment, 2015) and met its 2012 interim
target for reducing emissions 6 percent below 2012 levels, succeeding where the
national government failed. British Columbia aims to reduce emissions 18 percent by
2016, 33 percent by 2020, and 80 percent by 2050. Its Greenhouse Gas Reduction

37BRITISH COLUMBIA’S CARBON TAX
Targets Act requires the provincial government to release “Progress to Targets” reports
every two years to measure performance in implementing BC’s 2008 Climate Action
Plan, helping the province track the strategies that contribute to achieving its goals.
British Columbia’s Carbon Tax: Revenue to Bolster Public
Support
British Columbia’s carbon tax is central to helping the province meet its climate goals.
The tax, which was implemented on July 1, 2008, is the most comprehensive and
ambitious in North America and is a model of effective climate policy to the rest of the
world (British Columbia Ministry of Environment, 2014 Progress Report). It covers
nearly all emissions from fossil fuels, which account for an estimated 70 percent of the
province’s entire greenhouse gas emissions (Ministry of Finance, 2013). In 2013, Sus-
tainable Prosperity assessed the tax’s effects, concluding that, “While BC was doing
about as well as the rest of Canada in reducing fuel use before 2008, it has done much
better since the carbon tax came in - suggesting that the tax was an important con-
tributor to BC’s success in reducing fuel use from 2009-2013” (Elgie & McClay, 2013).
The tax applies to the purchase and use of fuels, including gasoline, diesel, heating
oil, propane, and coal, and the use of combustibles, like peat and tires, for heat or en-
ergy generation (British Columbia Ministry of Finance, 2015). In 2012 energy-related
greenhouse gas emissions were responsible for 79 percent of BC’s total emissions
(BC Ministry of Environment, 2012). Seventy-one percent of the 79 percent of BC’s
greenhouse gas emissions arise from fossil fuel combustion from both stationary and
transport-related sources. Fuels exported from the province, aviation fuel, and fugitive
emissions of methane from fossil fuel production and transmission (Murray and Riv-
ers, 2015 and British Columbia Ministry of Finance, 2015) are excluded from the tax.
British Columbia’s carbon tax is higher than most analogous taxes, which may help
explain its impact on consumer behavior. The policy is revenue-neutral, however,
meaning the provincial government uses funds collected from the carbon tax to offset
other taxes. From 2013 to 2014, taxing carbon in British Columbia generated 1.2
billion (CAD), which was applied to lower business taxes, provide income tax credits
to low income individuals, reduce personal income tax rates, and provide a $200 ben-
efit to northern and rural homeowners (Canada’s Ecofiscal Commission, 2015). The
carbon tax on fossil fuels increased incrementally, from $10/ton in 2008 to $30/ton in
2012, so that costs and revenues grew progressively each year.
Shifting the province’s tax burden from individuals and businesses directly to fossil fuel
consumption may account for the carob tax’s popular acceptance. Although the public
initially opposed the carbon tax, support has grown post-implementation (Murray and
Rivers, 2015). In a recent survey, more than 50 percent of British Columbia respon-
dents and more than half of respondents in other provinces strongly or somewhat
supported the policy (Murray and Rivers, 2015).

Bringing British Columbia’s Carbon Tax to a National Scale
Figure 5. The potential emissions impact of scaling up British Columbia’s carbon
tax across Canada.
With Carbon Tax Policy
857 million tons
770
million tons
87milliontons
reduced
Total Reduction:
265 million tons
611 million tons
Canada 2020's Emission Target
159milliontonsNeeded
~35%ofTarget
Total Reduction Needed:
470 million tons
NationalClim
ate
M
itigation
Target
600
700
800
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFCANADA(MILLIONTONNESCO2E)

39
If scaled to the national level, British Columbia’s carbon tax would re-
duce Canada’s annual 2020 emissions by 87 million tons of carbon di-
oxide equivalent, from 857 million tons to 770 million tons. Expanding
the carbon tax shift model to the rest of the country would help close the
gap between Canada’s 2020 reduction goals and its emissions trajecto-
ry by over a third – at about 35 percent.
Learning from the Carbon Tax’s “Textbook Success”
British Columbia may be “the closest example of an economist’s text-
book prescription for the use of a carbon tax to reduce GHG emissions”
(Murray and Rivers, 2015). The tax covers a wide base of carbon sourc-
es, scales costs up gradually, and aligns its rates with each fuel’s car-
bon impact. The provincial government’s transparent reporting of the
sources and uses of the carbon tax enables policymakers and residents
to understand its impacts, fostering widespread trust and facilitating the
program’s public acceptance.
This “textbook” carbon tax’s many gains merit its expansion beyond
British Columbia’s borders. The tax has produced substantial cuts
in carbon emissions while the province’s economy has expanded, al-
though some emissions-intensive sectors, such as basic chemical or
cement manufacturing, have encountered challenges (Murray and Riv-
ers, 2015). Since the introduction of the carbon tax, British Columbia’s
fuel consumption has decreased – bucking the national trend – even
as its GDP growth has outpaced Canada’s (Murray and Rivers, 2015).
British Columbia has demonstrated that decoupling economic growth
from fossil fuel consumption is not only possible but profitable, as the
province’s carbon tax has generated substantial revenue that offset its
economic burdens. This textbook success makes a strong case for a
national carbon tax.
BRITISH COLUMBIA’S CARBON TAX

ADVANCED CLEAN CARS PROGRAM
IN CALIFORNIA, USA

Overview
• California’s Advanced Clean Cars Program is expected to reduce California’s
greenhouse gas emissions by 289 million metrics tons of carbon dioxide equiva-
lent in the year 2020 – equal to a nearly 65 percent reduction in the state’s total
passenger vehicle emissions in 2013.
• Scaling the Advanced Clean Cars Program nationwide would result in a reduction
of 289 million metric tons of carbon dioxide equivalent in 2020, closing the gap
between the United States’ current trajectory and its 2020 goal by 28 percent.
• Scaling up all of California’s climate policies could help close the gap between the
U.S.’s 2020 climate goal, and its business-as-usual scenario, by about one-fifth,
or 20 percent.
Ahead of the Curve: California’s Climate Leadership
California is the eighth largest economy in the world, and it has the lowest per capita
carbon emissions and electricity consumption of any state in the U.S (The Los Ange-
les Times, 2015 & The Climate Group). How has the aptly named Golden State been
able to decouple economic growth from carbon emissions?
California’s leadership on climate change is embedded in a decades-long history of
forward-looking policies and legal frameworks. In 2006, Governor Schwarzenegger
signed Assembly Bill AB 32 (also known as the Global Warming Solutions Act of 2006)
into law, which committed California to restoring carbon emissions to 1990 levels (431
million metric tons of CO2e) by 2020. California has also committed to lowering emis-
sions 80 percent below 1990 levels by 2050, although this pledge is not currently man-
dated by law. California’s 2020 climate goal would reduce emissions by approximate-
ly 15 percent below emissions levels under a business as usual scenario (CalEPA,
2014). California was the first state to establish a comprehensive and legally binding
carbon emission trading system, which today covers 85 percent of its greenhouse gas
(GHG) emissions. The Cap and Trade Program is one of a host of strategies Califor-
nia employs to meet its ambitious climate goals.
This year, California’s state government extended its climate leadership further, en-
acting North America’s most aggressive benchmark to reduce carbon emissions in the
next 15 years (California Office of the Governor, 2014). Through executive order B-30-
15, Governor Edmund G. Brown established an interim target of cutting emissions 40
percent below 1990 levels by 2030 (California Office of the Governor, 2014). The
order’s 2030 goals surpass the ambition of U.S. national targets, and would achieve
lower carbon intensity than the European Union’s 2030 goals, which are generally
viewed as having set the bar for global reduction targets.
California’s latest Greenhouse Gas Inventory shows that the state is on track to meet
its goals. In 2013, the state’s emissions fell by 1.5 million metric tons compared with

43ADVANCED CLEAN CARS PROGRAM IN CALIFORNIA, USA
2012, even as the economy expanded faster than the United State’s average growth
(The Climate Group, 2015). The state’s decoupling of economic growth and carbon
emissions makes the case for other states, and for the nation, to follow in California’s
footsteps.
One Prong of California’s Climate Program: The Advanced
Clean Cars Program
The Advanced Clean Cars Program forms one prong of California’s ambitious miti-
gation agenda. The package of regulations is bolstered by a unique partnership be-
tween the United States Environmental Protection Agency (EPA), National Highway
Transportation Safety Administration (NHTSA), State of California, and major auto
manufacturers. This collaboration allowed the program to set ambitious greenhouse
gas emission reduction standards for cars and light trucks in the United States.
California has long been a leader in promoting cleaner passenger vehicles, and it is
the only state the federal Clean Air Act allows to request an EPA waiver for state-level
vehicle emission standards that go beyond national requirements. In 2002, Califor-
nia passed the Clean Cars Law, commonly known as the Pavley standard, which set
GHG emission limits that surpassed national requirements on new passenger vehicle
models 2009-2016. The California Air Resource Board approved these regulations in
2004, and fourteen states followed suit between 2004 and 2007, adopting the stricter
standards set by California (Maryland Department of the Environment).
In response to legal challenges brought against California’s Pavley standard by auto-
makers, the Obama Administration brokered a compromise in 2009, creating nation-
al vehicle emission standards for cars made between 2012 and 2016. The federal
standards were developed to achieve equivalent or greater greenhouse gas reduction
benefits than the Pavley Standard would achieve if applied on a national scale. Cal-
ifornia officials worked with EPA to harmonize its state standards with the newly cre-
ated federal vehicle emissions standards. The regulations were also aligned with the
federal Corporate Average Fuel Economy, or CAFE, standards.
The federal standards have been expanded to new passenger vehicles for model
years 2017 through 2025 – a significant augmentation. The impact of limiting passen-
ger vehicle emissions equates to auto manufacturers achieving an average 54.5 miles
per gallon fuel economy in 2025 for new cars and trucks across their vehicle fleet (The
White House Office of the Press Secretary, 2012). This equates to a more than three-
fold increase in the average fuel efficiency for passenger vehicles, up from 17.6 miles
per gallon in 2012 (FHWA, 2012).
The California Advanced Clean Cars Program builds on national standards, combin-
ing regulations for smog, soot-causing pollutants, and greenhouse gas emissions in
a balanced set of requirements, known as Low Emission Vehicles (LEV) III (CalEPA,
Air Resources Board) for model years 2017-2025. This policy also encompasses the
Zero-Emission Vehicle Program, which aims to support and accelerate the numbers

of plug-in hybrids and zero-emission vehicles in California. The Program’s goal is to
usher in 1.5 million plug-in hybrids, electric vehicles, and hydrogen-powered fuel cell
vehicles, equal to 1 in 7 cars sold in the state, by 2025 (California Office of the Gov-
ernor, 2012).
The Advanced Clean Cars Program is projected to cut California’s emissions by ap-
proximately 3 million metric tons of carbon dioxide equivalent in 2020, and reduce
more than 850 million metric tons of carbon dioxide equivalent from 2017 – 2050,
nearly double California’s total annual greenhouse gas emissions in 1990 (CalEPA).
The Program will also reduce smog-forming pollutants. In 2025, California cars will
emit 75% less smog-forming pollution compared to 2014 levels (California Environ-
mental Protection Agency (CalEPA), Air Resources Board, 2012).
When combined with the Pavley vehicle emissions standards, this suite of regulations
is the state’s single largest carbon mitigation strategy. According to estimates from
the California Air Resources Board (ARB), together the Pavley and Advanced Clean
Car Program standards are expected to reduce California’s greenhouse gas emis-
sions by 30 million metric tons of carbon dioxide equivalent in the year 2020 – equiva-
lent to nearly a 25 percent reduction in California’s total passenger vehicle emissions
in 2013 (CalEPA, 2015).
Figure 6. The potential emissions impact of adopting California’s Advanced Clean
Car Program at the national level in the United States of America.
2020
Goal
Scaled−Up Reduction
6.63 Gt
5.60 Gt
6.34 Gt
0.29Gt
reduced
5.75
6.00
6.25
6.50
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFTHEUNITEDSTATES(GIGATONSCO2)

45
Bringing California’s Advanced Clean Cars Program to a
National Scale
If the United States continues its precedent of adopting California’s
transportation policy, the resulting emissions savings could significant-
ly lift the country towards its 2020 target. Scaling the Advanced Clean
Cars Program to the national level would reduce emissions by 289 mil-
lion metric tons of carbon dioxide in 2020, closing the gap between the
country’s 2020 goal and its business-as-usual pathway by 28 percent.
California’s Climate Policies’ Total Impact
The Advanced Clean Cars Program is a part of California’s comprehensive approach
to reduce greenhouse gas emissions from the transport sector, yet it represents only
one piece of the state’s ambitious strategy to tackle global climate change. ARB es-
timates that all of California’s climate policies combined will achieve a 144.3 million
metric ton reduction of carbon dioxide equivalent in 2020 alone (CalEPA, 2015).
California’s impact on the national emissions target has the potential to be even great-
er. The state’s climate policies will reduce per capita emissions by 3.7 metric tons
of carbon dioxide equivalent in 2020. If the United States were to adopt California’s
suite of climate policies, then, assuming the 3.7 metric ton per capita reduction, the
U.S. could lower its greenhouse gas emissions by 1,186 million metric tons of carbon
dioxide equivalent in the year 2020. In other words, scaling up all of California’s climate
policies could help close the gap between the U.S.’s 2020 climate goal, and its busi-
ness-as-usual scenario, by about one-fifth, or 20 percent.
Spurring Emissions Reductions Across the Transporta-
tion Sector
California is the national leader on climate action, continually raising the bar and en-
couraging the U.S. government and other states to increase ambition on measures
that tackle climate change. The transport sector represents California’s largest source
of greenhouse gas emissions (38 percent), and transport is also responsible for near-
ly a third of all U.S. emissions (US EPA, 2013). California’s Advanced Clean Cars
Program and preceding Pavley vehicle emission standards significantly reduce the
emissions created by this key sector, by implementing stringent emissions standards.
The Advanced Clean Cars Program raises the already-high bar set by the Pavley
standards, and helps to lay the groundwork for a transition to a cleaner transportation
system, through its support of Zero Emissions Vehicles. The federal government has
adopted the Pavley Standards California pioneered; following suite with California’s
Advanced Clean Cars Program could help the nation decouple mobility and emissions.
ADVANCED CLEAN CARS PROGRAM IN CALIFORNIA, USA

EMISSIONS TRADING IN SHENZHEN,
CHINA

Overview
• Shenzhen has the lowest carbon intensity of all major cities in China, and is one
of seven cities piloting an emissions trading scheme.
• Assuming that all seven pilot cities’ emissions trading schemes cover the same
proportion of total emissions as Shenzhen’s trading system, their annual emis-
sions impact would mitigate 0.17 gigatons by 2020, enough to power 15.5 million
homes for a year.
• If all of China’s 45 cities with populations greater than one million adopted an ETS
like Shenzhen’s, the annual emissions reduction would be 0.25 gigatons by 2020,
an amount greater than the United Arab Emirates’ emissions in 2012.
Decarbonizing the Dragon: China’s National Policies to Ad-
dress Climate Change
The world’s largest energy consumer and carbon emitter, China dramatically and
sometimes single-handedly shapes the global climate change agenda. In the past de-
cade, China’s national policies that address energy consumption and climate change
mitigation have grown in ambition. China pledged in 2009 to reduce its carbon intensity
by 40 to 45 percent by 2020, compared to 2005 levels (Green & Stern, 2015). On June
30, 2015, the government released its “Intended Nationally Determined Contribution”
(INDC), which pledged to reduce the nation’s carbon intensity by 60 to 65 percent by
2030 (Government of the People’s Republic of China, 2015). These reduction targets
are intensity-based goals, yet China also submitted to the Paris Climate Conference a
goal to peak emissions by 2030 – the first time an emerging economy has committed
to a restriction of absolute emissions.
China has adopted a multi-pronged approach, utilizing various policy mechanisms
to achieve carbon intensity reductions. The 12th Five-Year Plan (2011-2015) – Chi-
na’s primary national, social and economic development roadmap – required the es-
tablishment of an Emission Trading Scheme (ETS) to reduce greenhouse gases in
a cost-effective way. On October 29, 2011, the National Development and Reform
Commission (NRDC), China’s main policy implementing body, selected five cities and
two provinces – Shenzhen, Beijing, Shanghai, Chongqing, Hubei, Tianjin and Guang-
dong – as initial pilots to test emissions trading in China, with a goal to establish a
national scheme by 2015.
Among these cities, Shenzhen stands out as a pioneer of greenhouse gas emission
reduction, with the lowest emissions intensity (carbon dioxide emissions per unit GDP)
of all of China’s most populous cities – in this case, cities containing a population
greater than 1 million people (China Emissions Exchange, 2014). Shenzhen’s GDP
ranks fourth among all Chinese cities, and grew by an average of 9.83% during the
years between 2005 to 2010 – a rate 3 times greater than global average GDP growth

49EMISSIONS TRADING IN SHENZHEN, CHINA
in 2014 (IMF, 2014). In the same period, Shenzhen’s carbon emissions increased by a
total of 26.3 percent, from 60 million tons in 2005 to 80 million tons in 2010 (an average
annual rate of 4.79 percent, substantially less than China’s national carbon emissions
growth rate of 7.43 percent (NBS-China, 2015).
Shenzhen began its efforts to decouple economic growth and carbon emissions after
China announced its first targets to reduce energy consumption per unit GDP (en-
ergy intensity). To help the nation achieve its 2009 emission reduction goal, the city
enacted the “Shenzhen 12th Five-Year Plan Energy-Saving Plan” in 2012 (Shenzhen
Municipal People’s Government Office, 2012). In the plan, Shenzhen’s municipal gov-
ernment pledged to reduce carbon intensity by 21 percent and to lower energy inten-
sity by 19.5 percent in 2015 compared to 2010 levels. Both of these commitments go
beyond national emission reduction targets, which only seek to reduce carbon and
energy intensity 16 and 17 percent, respectively, from 2005 levels by 2015. Shenzhen
became one of the first 13 low carbon pilot regions in China – another climate mitiga-
tion policy (Government of the People’s Republic of China, 2010). By piloting an ETS,
the city is developing low-carbon development strategies and pioneering plans for
building low-carbon cities.
Local Efforts to Address Climate Change: Shenzhen’s
Emission Trading Scheme (ETS)
Shenzhen drew on the European Union’s experience to develop its ETS, and the Chi-
nese city tailored the framework to fit Shenzhen’s development stage. The program
now covers 635 industrial enterprises from 26 sectors, accounting for 30 million tons of
annual carbon dioxide emissions, which are traded in this system. The trading scheme
includes the transportation sector and 197 public buildings that span more than 10,000
square meters. In 2010, Shenzhen’s ETS encompassed 40 percent of the city’s total
emissions and 26 percent of Shenzhen’s GDP.
The Shenzhen ETS aims to limit the emissions of participating companies to reduce
the city’s 2015 carbon intensity by 25 percent compared to 2010 levels (China Emis-
sions Exchange, 2014). Companies participating in the ETS aim for an intensity reduc-
tion target that is more ambitious than Shenzhen’s citywide plan, which, in turn, goes
beyond the national goal China spelled out in its 12th Five-Year Plan (Table 1).

BaselineyearNo.ofenterprises
coveredbyShen-
zhenEmission
TradingScheme
%oftotalcityemis-
sioncoveredby
ShenzhenEmission
TradingScheme
China’senergy
intensitytarget
(comparedto
2010levels)
Chinacarbon
intensitytarget
(comparedto
2010emissions
Shenzhen’s
energyintensity
target
(comparedto
2010levels)
Shenzhen’s
carbonintensity
target(compared
to2010emis-
sions)
2009-201183240%-17%-16%-19.5%-21%
Table1.RelationshipofShenzhen’sETStoShenzhen’sNationalCarbonandEnergyTargets

51
Bringing Shenzhen’s ETS to a National Scale
In its first year of implementation, Shenzhen’s pilot ETS achieved its
emission reduction target of 25 percent, and 631 of the 635 partici-
pating companies fulfilled their emissions reduction obligation (China
Emissions Exchange, 2014). In 2013, the program allocated allowanc-
es for 33 million tons of CO2, equal to 301,000 U.S. households’ annu-
al energy emissions (EPA, 2015), but only a fraction of these permits
(covering 1.57 million tons or less than 5 percent) were actually sold.
The program’s 635 participants’ total carbon emissions decreased by
3.83 million tons (11.7 percent) and participating companies increased
their market value by 105.1 billion Yuan (42.6 percent) from 2010 to
2013, indicating a decoupling of profits and emissions. These compa-
nies’ average carbon intensity dropped 38.1 percent, even more than
Shenzhen’s overall carbon emission reduction rate of 33.5 percent.
The ETS helped Shenzhen achieve its 21 percent carbon intensity
reduction targets under the 12th Five-Year Plan ahead of schedule
(Table 1).
ETS’s Contribution to National Goals
China’s National Development and Reform Commission (NDRC), the country’s
main policy implementing body, intends to expand the seven pilot emissions trading
schemes to the national level at the end of 2016 or beginning of 2017. Shenzhen’s
results offer insight into how this mitigation strategy could influence China’s emission
reductions in the long term.
We consider two approaches to show how Shenzhen’s achievements would impact
China’s 2020 national climate mitigation goals (see Figure 1).
1. Assuming that all seven pilot cities’ ETSs would cover the same proportion of to-
tal emissions as Shenzhen’s ETS, their annual emissions impact would mitigate
0.17 gigatons by 2020.
2. If all of China’s 45 cities with populations greater than one million (Nations
Online, 2011) adopted an ETS like Shenzhen’s, the annual emissions reduction
would be 0.25 gigatons by 2020. Between 2016 and 2020, this approach would
reduce a total of 0.86 gigatons of carbon dioxide.

The ETS’s Role in China’s 2020 Goals
With the establishment of China’s next Five Year Plan in 2016, emissions trading and
other market-based mechanisms to address climate change will be critical policy tools
for China to reach the next phase’s mitigation goals. The ETS’s economic approach
could make it especially attractive to other regions in China. Setting up a National ETS
would help the world’s largest emitter achieve – and even go beyond – its 2020 and
2030 climate mitigation goals.

53
Figure 7. The impact of scaling Shenzhen’s ETS to the national scale by 2020.
12th−FYPStart
12th−FYPEnd
NationalETSLaunch&13th−FYPStart
13th−FYPEnd
9.4 Gt
National ETS
in
Seven
Pilots
National ETS
in
M
ega
Cities
12.60 Gt
12.35 Gt
12.44 Gt
−0.17Gt
−0.25Gt
MAXIMUM TOTAL REDUCTION:
0.86 Gt
10
11
12
2010 2011 2015 2016 2020
TOTALEMISSIONSOFCHINA(GIGATONNESCO2E)

HARNESSING INDUSTRY IN HAMBURG,
GERMANY

Overview
• Between 2015 and 2020, scaling up Hamburg’s partnership with industry could
save a total of 94 million tons, an amount equivalent to the annual energy use of
8.5 million homes.
• Expanding Hamburg’s support of voluntary industry commitments to the national
level would result in an annual reduction of 23 million tons in 2020. This strategy
could help close the gap between Germany’s 2020 reduction goal, and the path
suggested by its historical emissions, by about 16.5 percent.
• Hamburg’s industry partners have extended their current commitment to 2018,
pledging to expand their collective carbon reduction by an additional 130,000 tons
of carbon dioxide beginning in 2018.
Hamburg’s Climate Leadership
Hamburg’s Climate Action Plan is comprehensive and forward-looking, covering a
wide range of initiatives and mixing tried-and-true strategies with pilot projects de-
signed to test out new ideas. In 2011, the European Commission recognized the city
as a European Green Capital, designating Hamburg a role model for urban environ-
mentalism (European Commission). Hamburg also regularly makes headlines for
ambitious environmental goals, like its plans to devote 40 percent of the city’s areas to
green spaces (Braw, 2013). The city implemented its Climate Action Plan from 2007
to 2012, a strategy that involved more than 500 different projects, targeting adaptation
and mitigation in the city’s buildings, energy, mobility, and industrial sectors (City of
Hamburg, 2013). The Climate Action Plan and its annual monitoring and reporting
paved the way for Climate Action Master Plan, which outlines a framework for 2020
and 2050 climate targets and policy. The city plans to cut emissions 30 percent below
1990 levels by 2020, and 80 percent below 1990 levels by 2050, in support of Ger-
many’s target of lowering national emissions 40 percent below 1990 levels by 2020.
Hamburg is ideally positioned to engage industry in its efforts to combat and respond
to climate change. The city sits on the Elbe River between the North Sea and the Bal-
tic Sea and is home Europe’s second largest port, which is among the 20-largest sites
of container traffic in the world (City of Hamburg, 2013). The city’s main industries
include civil aviation, food processing and steel- and metalworking (City of Hamburg,
2015). Over the past two decades, Hamburg has also attracted companies focused
on logistics, technology, aviation, services, media, and tourism, and the head offices
of a range of international companies, agencies and enterprises (City of Hamburg,
2015).

57HARNESSING INDUSTRY IN HAMBURG, GERMANY
Framework for Voluntary Industry Commitments
Hamburg’s climate change strategy takes advantage of its strong ties with industry and
the business community. The Senate and the business community have coordinated
on the rapid implementation of a range of voluntary measures for resource efficiency
that go beyond legal requirements (City of Hamburg, 2013). The Hamburg Climate Ac-
tion Plan includes a number of initiatives designed to engage businesses including the
Companies for Resource Conservation, which provides incentives for the implemen-
tation of “voluntary, rapid-result investments in resource-efficiency measures” (City of
Hamburg, 2012).
The program’s cost savings – an estimated 20.5 million euro per year – motivate com-
panies to participate. From 2001 to 2012, companies carried out over 1,750 projects
enhancing efficiency in lighting, heating, and cooling. These programs have saved
an estimated 146,000 tons of carbon dioxide and 432,500 megawatts of energy per
year, and they have helped to conserve 687,500 cubic meters of water and avoid over
26,400 tons of waste (City of Hamburg, 2012).
Hamburg’s engagement with the business community also helped convince 11 in-
dustrial companies to commit to reducing their carbon emissions by 500,000 tons of
carbon dioxide per year, in the 2008 to 2012 period. This carbon savings is equal to
25 percent of Climate Action Plan’s total goal, demonstrating why it is crucial to en-
gage high-emitting stakeholders. In 2012, the participating companies exceeded their
target, reducing 514,924 tons of carbon dioxide. Their success built momentum to
extend the group’s effort to 2018 and bring four additional companies on board, aiming
to increase their carbon reduction by an additional 130,000 tons beginning in 2018
(City of Hamburg, 2013).

Figure 8. The potential emissions impact of scaling up Hamburg’s engagement
with industry throughout Germany.
With Industry Emissions Reduction
NationalClimateMitigationTarget
698 million tons
814 million tons
837 million tons
23
milliontons
reduced
116milliontons
reduced
Total Reduction
Needed:
321 million tons
Total reduction:
94 million tons
700
750
800
850
900
950
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFGERMANY(MILLIONTONSCO2E)

59
Bringing Hamburg’s Partnership with Industry to a
National Scale
Expanding Hamburg’s support of voluntary industry commitments to the
national level would result in an annual reduction of 23 million tons in
2020. This strategy could help close the gap between Germany’s 2020
reduction goal, and the path suggested by its historical emissions, by
about 16.5 percent. Between 2015 and 2020, scaling up Hamburg’s
partnership with industry could save a total of 94 million tons, an amount
equivalent to the annual energy use of 8.5 million homes (EPA, 2015).
Partnering with Industry to Capture the Low-Hanging
Fruit
Germany’s National Climate Action Target for 2020 is ambitious, and a significant gap
remains between its current trajectory and this target. Its current path would see the
country reach only 33 percent of its intended reductions by 2020 (Appunn, 2015).
This wide gap makes voluntary industry commitments – a program that could close
the gap an additional 26 percent – very attractive at the national scale. This strategy
would help the country meet its goals, while capturing untapped mitigation potential in
industry and the business world. A recent study estimated that the untapped energy
savings available to business and industry from 2011-2013 is 20 to 30 percent (City of
Hamburg, 2012).
Industry involvement seems to generate its own momentum, as energy savings and
efficiency gains have attracted more organizations to voluntarily participate. This ap-
proach is, however, not a panacea: after the “low-hanging fruit” is collected, engaging
these industries may become more difficult. Yet capturing these initial savings is a
crucial first step in building the network and capacity for taking on steeper emission
reductions.
HARNESSING INDUSTRY IN HAMBURG, GERMANY

SCALING UP SOLAR POWER
IN RAJASTHAN, INDIA

Overview
• Reducing emissions in India’s power generation sector would tackle “the largest
slice of emissions” in India, around 37 percent of the country’s total carbon output.
• Solar power forms the bulk of India’s planned expansion of renewable energy,
accounting for 100 GW of the 2022 target of 176 GW from renewables. More
than half of India’s four GW of installed solar capacity come from the two western
states of Rajasthan and Gujarat.
• If Rajasthan’s rate of solar energy expansion were scaled to the national level in
India, carbon dioxide emissions would decrease by 0.398 gigatons, an amount
equal to approximately 19 percent of India’s total carbon dioxide emissions in
2012.
India’s Bet on Solar Power
India’s power sector could make or break the country’s climate mitigation and devel-
opment goals. Power generation constitutes “the largest slice of emissions” from the
domestic economy of the world’s fourth-largest emitter, accounting for 37 percent of
the country’s total carbon output (World Resources Institute (2011), CAIT Database,
and Shidore, 2015). This sector’s emissions growth rate is the second fastest in the
country (Shidore, 2015). As the nation works to cap emissions from the electricity
sector, it needs to simultaneously expand energy access. Nearly 400 million citizens
– some 30 percent of the country’s population – lack access to electricity, and many
with a connection to the grid can only rely on a few hours of power each day (Shidore,
2015). Renewable energy sources are well suited to expand access to energy and
electricity while reducing the country’s carbon intensity.
India has made solar energy production a cornerstone of its development and climate
mitigation strategies. In June 2015, the Union Cabinet approved Prime Minister Na-
rendra Modi’s goal of generating 176 gigawatts of electricity from renewable energy
sources and 100 gigawatts of electricity from solar energy by 2022 (The Economic
Times, 2015).1
To put this goal into context, Germany and China, two world leaders in
solar energy, had solar capacities of 38.2 gigawatts and 28.2 gigawatts, respectively,
in 2014 (Bridge to India, 2015). Forty gigawatts of the target’s total are slated to come
from rooftop installations, and 60 gigawatts from utility-scale plants. If implemented,
this expansion would increase India’s solar power fivefold and account for approxi-
mately one-third of the country’s total electricity capacity generation (The Economic
Times, 2015).
Prime Minister Modi’s pledge will accelerate India’s growing solar energy industry. In-
dia’s 100 gigawatt target expands the 2010 Jawaharlal Nehru National Solar Mission
Initiative, which aimed to deploy 20 gigawatts of grid-connected solar energy by 2022,
to establish the country as a global hub for solar manufacturing, and to support re-
search and development to help lower the cost of solar energy (Government of India,
2012).
1 The complete breakdown of the 2022 target of 176 gigawatts of additional capacity includes:
100 gigawatts from solar capacity, 60 gigawatts from wind power, 10 gigawatts from biomass and 5 giga-
watts from hydropower projects (BloombergBusiness, 2015).

63SCALING UP SOLAR POWER IN RAJASTHAN, INDIA
Over the next three years, India is likely to enter the top five global solar markets, add-
ing more solar capacity than Germany (Bridge to India, 2015).
Many caution that realizing this 100 gigawatt goal will be extraordinarily challenging.
It is uncertain how the government and industry will finance and acquire the land for
large projects, install net metering to support rooftop installations, and expand infra-
structure needed to connect solar installations to the grid (for a more detailed picture
of the process of scaling solar up, please see Box 1: A Closer Look at India’s Solar
Target). As of January 2015, 3 gigawatts of utility capacity had been installed, and
285 megawatts of rooftop capacity had been installed (Bridge to India, 2015). India
will need to add an average of approximately 15 gigawatts of solar power to its current
base of 4 gigawatts each year to meet its 100 gigawatt goal by 2022.
Rajasthan’s Role as a Solar Leader
India’s steep path to accelerate solar capacity along with the myriad benefits this en-
ergy transformation would deliver make successful implementation especially reward-
ing. Many states have taken a leadership role in turning paper pledges into reality.
India is projected to add 24 gigawatts of utility-scale solar PV capacity between 2015
and 2019, the majority coming from state government schemes, which are expected
to add 11 gigawatts in this period, compared to 7.6 gigawatts from central government
schemes and 5.5 gigawatts from other projects (Bridge to India, 2015). Fifty gigawatts
of state-level policy targets, for timelines ranging from 2015 to 2022, have already
been established (Bridge to India, India Solar Handbook, 2015). These targets’ cre-
ation and successful realization typically rely on renewable purchase agreements, de-
mand for new power generation capacity, and political commitments to the renewable
sector (Bridge to India, 2015).
Among the strong showing of state activity, some states stand out. Rajasthan re-
cently edged past Gujarat to take the lead in installed solar capacity among Indian
states, with 1128 megawatts compared to Gujarat’s 953 megawatts (The Times of
India, 2015). Together, the two states make up nearly half of India’s total installed solar
capacity and are well ahead of the state in third place – Madhya Pradesh, with 637
megawatts (Jaiswal, 2015).
Part of Rajasthan’s success stems from its geography – it has the highest solar ra-
diation in India, and contains large tracts of land well suited to hosting solar utilities
(The Times of India, 2015). Ambitious policies have helped capitalize on these natural
advantages. Before Prime Minister Modi expanded India’s solar capacity target to 100
gigawatts, Rajasthan’s 2011 solar power goal exceeded it, aiming to reach 25 giga-
watts of new solar capacity by 2022, in comparison to the national government’s goal
of 22 gigawatts in the same time frame (CleanTechnica, 2014).
Rajasthan’s 2014 policy builds on the momentum of both the state’s 2011 energy
plan and the Jawaharlal Nehru National Solar Mission’s recently enhanced ambition.
The Rajasthan Solar Energy Policy for 2014 targets known obstacles in financing and
land acquisition: it introduces lowered net worth requirements for prospective project
developers, lengthens land leases from 30 to 40 years to allow developers to plan for
longer-term investments, and eases the application process for plants under 10 mega-
watts to facilitate faster approval (CleanTechnica, 2014).

Figure 9. The potential emissions impact of scaling up Rajasthan’s rate of solar
installation across India.
W
ith
Solar Energy Policy
3.119 Gt
3.321 Gt
0.202Gt
reduced
TOTAL REDUCTION:
0.398 Gt
2.0
2.5
3.0
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFINDIA(GIGATONNESCO2E)

65
Bringing Rajasthan’s Solar Policies to the National Level
If Rajasthan’s rate of solar capacity expansion were applied across In-
dia, the country’s 2020 emissions would decrease by 202 million tons
of carbon dioxide, from 3.321 gigatons to 3.119 gigatons. Adopting the
state’s rate of solar energy expansion would reduce 0.398 gigatons of
carbon dioxide emissions from 2015 to 2020, an amount equal to ap-
proximately 19 percent of India’s total carbon dioxide emissions in 2012.
Matching Ambition with Implementation
Despite its rapid growth, Rajasthan, like much of India, is still gearing up for accelerat-
ing its solar power expansion. The state has signed memorandums of understanding
with power developers including SunEdison, Adani Enterprises, Reliance Power and
Azure Power, and has signed power purchase agreements for 223 MW of solar ca-
pacity for projects still under development (Business Standard, 2015 & Bridge to India,
2015).
The nation’s 100 gigawatt target faces great challenges, yet Rajasthan’s development
shows that solar can help India realize the target while eliminating the challenges that
hinder its expansion.
SCALING UP SOLAR POWER IN RAJASTHAN, INDIA

A Closer Look at India’s Solar Target
India’s goal of expanding solar capacity to 100 gigawatts by 2022 has triggered both
praise and skepticism. The rising cost of conventional power, falling cost of solar
power, pressure to address India’s energy deficit, and the country’s “ability to quickly
bring power generation capacity online” could help propel this goal forward, and help
the country tap into an estimated 749 gigawatts of solar potential (Bridge to India,
2015 & NISE, 2014).
Despite these advantages, a series of financial and logistical difficulties have already
hindered the expansion of solar capacity. The difficulty of land acquisition, gaps in the
availability and security of financing, and gaps in the infrastructure needed to connect
utilities to the grid make up the most commonly cited obstacles to utility scale projects
(Bridge to India, 2015). Net metering forms a crucial – and often un-met – prerequi-
site to rooftop solar development, though new policies are attempting to change this.
Twenty-five out of India’s 29 states had approved or proposed net-metering policies
as of May 2015 (Bridge to India, 2015).
Renewable Purchase Obligations (RPOs), one of the country’s primary tools for ex-
panding its use of renewable energy, speak to the challenges of translating policy
into practice. The agreements create quotas for the purchase of renewable energy,
and require states that do not meet these thresholds to purchase Renewable Energy
Certificates (RECs) (NISE, 2014). While a strong strategy in theory, in practice, “RPO
compliance is currently extremely poor”(NISE, 2014). An expanded RPO target, that
increases the quota from 3 percent to 10.5 percent of India’s power consumption by
2022, has yet to be ratified and remains politically contentious (Bridge to India, 2015).
The government is also considering a Renewable Generation Obligation (RGO) on
large power producers, in addition to states, to help ensure a reliable market for new
sources of renewable energy (NISE, 2014).
The poor financial health of India’s largely state-run distribution companies (DIS-
COMs) represents another crucial hurdle solar power will need to overcome in order
to reach a broader scale of implementation.

67SCALING UP SOLAR POWER IN RAJASTHAN, INDIA
Collectively, DISCOMS face approximately $33 billion of debt (NISE, 2014). This fi-
nancial burden leads DISCOMs to under-purchase power, and makes them skittish
of the long-term power purchase agreements solar producers rely on to guarantee
returns on their investments in new plants (NISE, 2014). Between 2009 and 2014,
India saw an 8.8 percent rate of annual growth in additional net capacity, but only a 6.3
percent growth in electricity generation of the same time period (Government of India,
2015 & NISE, 2014). In other words, the distribution system is at risk of being unable
to take advantage of viable sources of solar power.
Despite these challenges, solar energy seems poised for a bright future in India. Its
costs are edging closer to the cost of imported coal in some states, and, if these trends
continue, utility-scale solar power could compete with power plants run on domestic
coal within two to three years (NISE, 2014). The rate of solar energy’s expansion con-
tinues to grow. The question is not whether solar will play an important role in India’s
energy portfolio, but whether the 100 gigawatt target will constitutes a realistic target,
or acts as more of a symbolic signal to investors and the markets.
© Alex Lang/Flickr

ENERGY EFFICIENCY IN CAPE TOWN,
SOUTH AFRICA

Overview
• Bringing Cape Town’s energy efficiency program to low-income households
throughout South Africa could reduce the nation’s carbon dioxide emissions by
148 million tons from 2015 to 2020 – equal to the total emissions produced by 40
coal-fired power plants in one year.
• The national adoption of Cape Town’s energy efficiency program could reduce
emissions in 2020 by 35 million tons, closing the gap between South Africa’s 2020
reduction goals and its emissions trajectory by about 22 percent.
• The Kuyasa Program reduced local residents’ reliance on paraffin fuel for heating,
saving each household an average of US $7 per month and lowering incidences
of respiratory illnesses.
South Africa is the most carbon-emitting nation in Africa and one of the most ener-
gy-intensive economies in the world (Government of South Africa, 2009), an unflatter-
ing status that stems in large part from its energy sector. High-emitting industries play
a crucial role in the nation’s economy, and coal combustion is the base of energy and
electricity generation, making up 71 percent of the primary energy consumed and 93
percent of the electricity generated (ADF, 2010).
Disruptions in electricity reliability, however, have pushed South Africa to embrace en-
ergy efficiency measures. The nation’s energy and electricity prices had been among
the world’s cheapest, providing little incentive for the country to invest in energy effi-
ciency measures (ADF, 2010). An electricity scarcity crisis began in late 2007 – an
energy crunch attributed to coal supply problems and increasing demand for electricity
– and this predicament motivated the government to employ measures to save energy
and diversify electricity sources (van der nest, 2015 & Government of South Africa,
2009). Electricity costs are projected to rise by as much as 400 percent from 2006 to
2016 (City of Cape Town, 2013), making energy conservation an urgent economic,
developmental, and environmental concern.
South Africa’s cabinet approved in March 2005 the National Energy Efficiency Strat-
egy, which aimed to improve the country’s energy efficiency 12 percent by 2015. The
plan notes that 50 percent of the energy efficiency measures identified in its pages
could pay for themselves within three years (Government of South Africa, 2009). The
strategy also calls for efficiency initiatives that create jobs, reduce air pollutants and
carbon dioxide emissions, enhance energy security, increase citizens’ access to en-
ergy and electricity, and reduce the need for additional power generation capacity
(Government of South Africa, 2009).
The City of Cape Town has led the charge towards developing a comprehensive ener-
gy efficiency strategy. The municipality stands out for its ability to use climate adapta-
tion and mitigation strategies to meet development goals. Its efforts to create a green
economy (City of Cape Town, 2011), an approach under implementation across the
entire Western Cape region, focus on finding new opportunities for investment and job
creation (GreenCape & City of Cape Town, 2013). Part of this plan is made possible

71ENERGY EFFICIENCY IN CAPE TOWN, SOUTH AFRICA
by the fact that, unlike the rest of South Africa, Cape Town’s economy primarily relies
on service professions instead of industry. Though Cape Town’s economy remains
less carbon intensive than South Africa’s, its use of coal-fired electricity keeps emis-
sions high (City of Cape Town, 2013).
In 2006, Cape Town became the first African city to release an Energy and Climate
Strategy. This document rests on the foundation built by the city’s Integrated Met-
ropolitan Environmental Policy, which outlined a municipal commitment to reducing
energy waste, promoting energy efficiency, and supporting renewable and cleaner fuel
sources (City of Cape Town, 2003). A flurry of energy-related legislation followed in the
wake of these two policies, and the new laws helped translate policy goals into a long
list of programs and initiatives. The city’s Environmental Resource Management De-
partments runs more than 50 programs, which encompass over 115 renewable energy
and energy efficiency projects (City of Cape Town, 2015).
Leap-frogging Carbon-intensive Pathways:
The Kuyasa Project
Among Cape Town’s renewable energy and energy efficiency programs, the pioneer-
ing Kuyasa Project stands out for its rigorous monitoring, engagement of stakeholders,
and melding of energy access and climate mitigation needs. This project enabled an
impoverished community in the Cape Town township of Khayelitsha to “leap-frog” be-
yond carbon-intensive strategies for meeting their heating and lighting needs in favor
of solutions that lessen the community’s dependence on an overloaded and polluting
grid. From 1999 to 2010, the project retrofitted 2,309 low-income homes with solar
water heaters, insulated ceilings, and energy efficient lighting, saving energy and elec-
tricity while reducing carbon emissions (ESMAP, 2012).
The project also created 87 local jobs and trained Kuyasa residents as plumbers,
electricians, and builders. Others learned about the installation and maintenance of
renewable and energy efficiency technologies through the program (ESMAP, 2012).
By the project’s end, almost half of the residents who received training had found full-
time jobs or business opportunities outside of the community (ESMAP, 2012). Local
residents also reduced their reliance on paraffin fuel for heating, saving each house-
hold an average of US $7 per month, and lowering incidences of respiratory illnesses.
A survey found that 76 percent of residents reported an easing of respiratory illness
due to reduced exposure to the fuel’s fumes (ESMAP, 2012).
The program’s co-benefits ripple out broadly. The Kuyasa Project is South Africa’s first
internationally registered Clean Development Mechanism (CDM) venture, meaning
that industrial firms can purchase some of the project’s annual 6,580 tons of reduced
carbon emissions to help them meet their Kyoto Protocol targets.

Figure 10. The potential emissions impact of scaling up Kuyasa’s energy efficiency
policy across South Africa.
With Energy Eﬃciency Policy
473 million tons
438 million tons
35milliontons
reduced
TOTAL REDUCED:
148 MILLION TONS
312 million tons
~22%125.8milliontonsReductionNeeded
250
300
350
400
450
500
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFSOUTHAFRICA(MILLIONTONSCO2E)

73
Kuyasa’s Energy Efficiency Contribution to National Goal
The Kuyasa project reduced emissions by 2.80 tons per household.
Scaling this program up to all South Africa’s low-income homes could
reduce carbon dioxide emissions by 148 million tons from 2015 to 2020,
equal to the total emissions produced by 40 coal-fired power plants in
one year (EPA Energy Resources Calculator, 2015). This approach
could lower South Africa’s 2020 emissions by 35 million tons, from 473
million tons to 438 million tons of carbon dioxide, closing the gap be-
tween South Africa’s 2020 reduction goals and its emissions trajectory
by about 22 percent.
Integrating Access and Efficiency into South Africa’s
Energy Strategy
The Kuyasa Project improves the community’s quality of life as it lowers greenhouse
gas emissions, providing a model for sustainable development. Reducing a neighbor-
hood’s reliance on the grid makes its resident’s access to energy and electricity more
secure and resilient. The Kuyasa approach expands energy access without adding
pressure to the existing system, modeling a feasible way for South Africa to reconcile
its climate mitigation, poverty reduction, and grid protection goals.
ENERGY EFFICIENCY IN CAPE TOWN, SOUTH AFRICA

The nine case studies selected for this study represent a range of sub-national climate
actions. From efficiency and technology innovations, such as waste management and
renewable energy deployment, to policy instruments, like carbon taxes and emissions
trading schemes, sub-national governments are undertaking a variety of climate miti-
gation actions. While this study selects one just example from each sub-national gov-
ernment featured, these sub-national governments implement a suite of additional
policies and measures to reduce their climate footprint. Their actions not only help
mitigate climate change, but many generate co-benefits in tandem. For example, Ra-
jasthan’s solar parks could offset the growth of coal use in the province, leading to
improved air quality and public health.
Each climate action’s contribution towards both national and global mitigation goals
differs when scaled up. Figures 11, 12 and 13 demonstrate the national and global
contributions of the nine case studies featured in this report.Scaling up British Co-
lumbia’s carbon tax could create the largest potential emissions reduction, bringing
Canada 35 percent closer to its 2020 mitigation goal. As illustrated in Figure 11, British
Columbia’s carbon tax would lower the emission reduction cuts needed in 2020 by
35 percent. Acre is the next highest contributor to national mitigation goals; its defor-
estation prevention program could potentially contribute 28 percent to Brazil’s 2020
mitigation goals, if expanded across the country.
Figure 11. Contributions of sub-national climate actions to national mitigation
efforts.
PERCENT CONTRIBUTION TO 2020 MITIGATION GOAL
CALIFORNIA - 28%
B.C. 35%
ACRE - 31%
CAPE TOWN - 22%
HAMBURG - 16.5%
RAJASTHAN - 6%
ORAN - 4%
SHENZHEN - 2%
BELO HORIZONTE - 1%

77
Examining the impact of these sub-national efforts to national climate mitigation goals
only tells half of the picture. From a global perspective, the respective contributions
of sub-national climate efforts look dramatically different (Figures 12 and 13). If ad-
opted nationally, Shenzhen’s emissions trading scheme contributes less than 2 per-
cent towards China’s needed 2020 emission cuts, but would result in a reduction of
245 megatons of carbon dioxide equivalent globally, or 25 percent of the cumulative
0.94 gigaton reduction of carbon dioxide equivalent that all nine case studies would
achieve. Similarly, although extending Rajasthan’s solar deployment will only yield a
6 percent reduction in India’s 2020 business-as-usual emissions, globally its contribu-
tion would be around 201 megatons of carbon dioxide equivalent, or about one-fifth
of the total projected emissions reductions in 2020 from the nine case studies. Acre,
Brazil, the only land-use based example, is the second largest contributor to the global
emissions reductions achieved in this study. Acre’s success in reducing deforestation,
if scaled nationally, could avoid 203 megatons of carbon dioxide equivalent in 2020.
CONCLUSION
Figure 12. The global contribution of the subnational case studies to mitigation
efforts. In total, the subnational case studies featured in this report have the
potential to reduce emissions by 1 gigaton in 2020, closing the emissions gap
(UNEP, 2014) by approximately 10 percent.
26.7 Gt
25.7 Gt
With All Policies
1.09GTCO2EREDUCTION
24.5
25.0
25.5
26.0
26.5
2015 2016 2017 2018 2019 2020
TOTALEMISSIONSOFALLCOUNTRIES(GIGATONNESOFCO2E)
Shenzhen, China
Acre, Brazil
California, US
Rajasthan, India
B.C., Canada
All Others*

Figure 13. Comparison of national and global contributions of sub-national climate efforts.
The blue national bars show the percentage sub-national efforts contribute towards
country 2020 mitigation goals, while the red global contribution bars demonstrate the
percentage each sub-national case study contributes towards the 1.09 Gt savings as-
sessed in this report.
Coordination with National Actors and Pledges
The sub-national climate efforts highlighted in this paper also emphasize the impor-
tance of coordination between all levels of climate action. The success of many of the
case studies featured here spring from a close alignment and vertical integration with
national climate goals. For example, Acre’s innovative suite of deforestation preven-
tion programs grew out of its adoption of Brazil’s national deforestation goal. Coordi-
nation between California and the federal government facilitated the national adoption
of more ambitious fuel standards, which now form a core part of the United State’s
climate action plan.
Finally, Shenzhen’s emissions trading scheme (ETS), although initiated through a
mandate to establish seven regional emissions trading pilot programs, goes further
than what is required by China’s national government. The ETS’s alignment with na-
tional policy directives facilitated the Shenzhen program’s creation, but Shenzhen has
set its own carbon intensity reduction target and peak emission year that exceed
national equivalents.
0%
10%
20%
30%
Acre−Brazil
BC−CanadaBelo
Horizonte−BrazilCalifornia−US
Cape
Tow
n−South
Africa
Ham
burg−Germ
any
Oran−Algeria
Rajasthan−IndiaShenzhen−China
Contribution to 1.09 Gt Contribution to 2020 National
Mitigation Targets

The success of Shenzhen’s ETS may be a key indication of what China’s national
ETS, to be launched by 2017, will achieve. These examples suggest the importance of
coordination between sub-national and national efforts. Facilitating positive feedback
loops, sub-national actors can ramp up the ambition of national mitigation actions by
providing a vital space to experiment with new policies and demonstrate clear results.
Beyond Paris
The success of a post-2020 climate agreement rests on the ability to effectively im-
plement the proposed “four pillars.” First, a universal climate agreement that creates
a mitigation framework for 2020 onward; second, national contributions to support
post-2020 global mitigation goals; third, scaled-up financial support for developing
countries; and last, a fourth pillar of “scaled-up cooperative action with participation of
all levels of Governments and of a broad range of stakeholders” (UNFCCC, 2015a).
Never before has the role of non-state and sub-national actors been featured so prom-
inently in the UNFCCC.
This recognition of sub-national governments reflects the dramatic expansion in their
engagement in climate action over the last two decades. City and regional programs
directly contribute towards national 2020 mitigation goals, but, in some cases, sub-na-
tional governments go above and beyond their countries’ mitigation policies and ac-
tions. These sub-national climate mitigation actions, if adopted by national govern-
ments, could contribute towards national climate goals, both in 2020 and in the years
beyond. Current intended nationally-determined contributions (INDCs) pledged by
countries fall short of reducing emissions to a level consistent with a least-cost 2-de-
gree C pathway, at 19 percent higher (8.7 Gt CO2e) in 2025 and 35 percent higher
(15.1 Gt CO2e) in 2030 (UNFCCC, 2015b). Demonstrating the sub-national contribu-
tion to national pledges, and the potential to achieve greater reductions when scaled,
could facilitate increasing ambition for INDCs in the next round of submissions.
Initiatives like the Compact of States and Regions, Compact of Mayors, R-20 Regions
for Climate Change and ICLEI – Local Governments for Sustainability enable sub-na-
tional governments to independently adopt mitigation actions and targets, showcas-
ing how their initiatives factor in the context of national goals. Such networks allow
sub-nationals to share best practices, harmonize data collection and reporting meth-
odologies, and achieve outside recognition for climate mitigation efforts. Platforms like
the Non-State Actor Zone for Climate Action (NAZCA) are prominently showcasing
sub-national climate actions within official UNFCCC channels that traditionally feature
state-level actions.
This report joins a growing effort to quantify the sub-national actors’ contributions to
national and global mitigation goals. From Brazil to the United States, these case
studies demonstrate that sub-national climate action is not insignificant. When scaled
nationally, these programs to reduce deforestation, increase renewable energy gener-
ation, improve waste management, and build public-private partnerships could have
a significant impact, in many cases contributing more than a third to national climate
goals. Globally, these scaled-up efforts could reduce 2020 emissions from the eight
countries featured in this report by 1 gigaton, compared to current policy scenarios.
The sub-national climate actions described in this report could narrow the projected 8
to 10 gigaton gap (UNEP, 2014) between existing national pledges and the additional
actions needed to maintain a least-cost 2 degrees Celsius trajectory by approximately
10 percent.
CONCLUSION

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DEVELOPMENT/Resources/336387-1334852610766/Chap3.pdf.
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glish_10_13.pdf.
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APPENDIX
Supplementary Information

Scaling Local and Regional Climate Policies
to the National Level
Time Frame
We assume that policies will be implemented gradually in 2015, before being fully im-
plemented in 2016. As a result, the emissions impact of the case study policies grows
gradually throughout the course of 2015, before reaching its full impact in 2016. The
case study of Shenzhen is the exception to this approach: since China plans to scale
this policy up in 2016, we assume that the policy will be gradually implemented during
2016 to 2017, and will reach full implementation in 2017.
Business As Usual (BAU) Calculations
Country’s business as usual calculations (BAU) were determined by creating linear
projections of historic data. This approach allowed us to apply a consistent methodol-
ogy for determining the business as usual pathway across different countries. (Data
predicting countries’ 2020 business as usual emissions was not consistently available
for all of the countries considered in this paper.) As a result, the predicted business as
usual pathways described in this report may vary slightly from other sources or from
countries’ internal assessments of their predicted business as usual pathways and
targets (based on differences in the methodologies used to calculate these figures).
Greenhouse Gas Emission Targets
Where countries have pledged 2020 mitigation targets (i.e., the United States, Cana-
da, and Germany), we made reference to how the sub-national case study contributes
directly towards that goal. For other countries where 2020 goals are articulated on an
intensity basis (e.g., carbon emissions per unit GDP), we calculated mitigation impact
of sub-national efforts from business-as-usual 2020 emission projections.
Case Study 1: Oran, Algeria
The Emissions Impact of Oran’s Waste Management Strategy
To determine the greenhouse gas emissions reduction achieved by Oran’s waste sort-
ing and recycling program, we multiplied the composition of Oran’s municipal solid
waste to the volume of waste measured by the R20 program, to determine the total
amount of recycled materials removed from the waste stream. We then multiplied
the emissions factors for the removal of these materials by the previously calculated
amount of recycled materials recovered by the R20 program, to determine the mitiga-
tion impact of these efforts.

91
Scaling Oran’s Emissions Impact to the National Level
To determine the impact this project would have if scaled to the national level, we
applied the per capita greenhouse gas emissions reduction from Oran’s waste sorting
program to the total population of the country. Compared to the nation’s business as
usual emissions (a linear projection of past emissions), the expansion of Oran’s waste
sorting program could lower national 2020 emissions by 11 million tons of carbon
dioxide, or roughly 4.3 percent, from 254 million tons to 243 million tons. Between
2015 and 2020, the policy could reduce the country’s carbon dioxide emissions by a
cumulative total of 52 million tons.
As Algeria’s population continues to expand, the emissions reduction impact of adopt-
ing a waste sorting program will also grow over time. Between 2015 and 2020, the
rate of expansion is small enough that it is not visible on the graph, but the emissions
reductions will grow according to the rate of population growth, rather than at a linear
rate.
Case Study 2: Acre, Brazil
Brazil’s Projected Rate of Deforestation
To determine how Acre’s forest protection policy approach might translate to the na-
tional context, we applied the reduction Acre has achieved in its rate of deforestation
in the Amazon to Brazil’s national deforestation rates. These calculations apply Acre’s
progress in slowing its deforestation rate to all of Brazil’s forested areas, rather than
just to the Amazon specifically. It is important to note that this method assumes a
consistent forest composition across the country, although the carbon storage and
greenhouse gas savings realized by protecting other forests, such as the Cerrado
forest, may vary.
The nation’s business as usual (BAU) rate, or recent rate of deforestation, was calcu-
lated as the average of deforestation rates between 2010 and 2014. While Brazil’s
national deforestation target uses data from 1996 and 2005 as its baseline, we cal-
culated the impact of reducing deforestation against a more recent target, because
deforestation in Brazil has slowed significantly since 2003. Figure 3 demonstrates the
difference between the two baselines.
Applying Acre’s reduction of deforestation across Brazil as a whole would lower the
country’s 2020 emissions by 368 million tons of carbon dioxide equivalent, compared
to the reductions that would be achieved at the nation’s baseline rate of deforestation
reduction (between 1996 and 2005). The national application of Acre’s strategy would
lower emissions by 204 million tons of carbon dioxide equivalent, compared to the
deforestation reductions Brazil has maintained over the last four years.
APPENDIX

Figure S1. The national reduction in deforestation that could be achieved by ap-
plying Acre’s reduction rate to Brazil’s forests. The “Business as Usual” line rep-
resents Brazil’s recent rate of deforestation (an average of the annual defor-
estation rates from 2010 to 2014), while the “Baseline Emissions” line represents
Brazil’s official baseline for its deforestation reduction target, which includes older
data (it averages annual deforestation rates from 1996 to 2005).
424 million tons
Baseline Emission
Business As Usual (BAU): 260 million tons
With Deforestation Reduction: 56 million tons
Total reduction: 1016 million tons
204milliontons
Reduced
368milliontons
Reduced
Historical reduction:
850 million tons
250
500
750
2005 2010 2015 2020
EmissionafromDeforestation(MillionTonsofCarbonDioxideEquivalent)

93
Scaling Acre’s Emissions Impact to the National Level
To determine the emissions impact of applying Acre’s rate of deforestation reduction
to Brazil’s forests, we used Acre’s deforestation data from 2010 to 2014 to calculate
an average projected deforestation rate for 2015 through 2020. We then calculated
the total area of land that avoided being degraded or deforested as a result of this
policy. Comparing this amount of preserved land to the total area of forested land in
Acre created a ratio of preserved forest area to total forest area. Multiplying this ratio
by Brazil’s total forested area provides an estimate of the impact Acre’s policy could
have on all of the country’s forests. Assuming that the national deforestation rate is
constant from 2015 to 2020, applying Acre’s reduction in deforestation to the national
level would save 1240 square kilometer per year. Multiplying this figure by 451 tons of
carbon dioxide equivalent per hectare, the conversion factor used by the Government
of Acre, yields the emissions impact of adopting Acre’s policy at a national level.
Applying Acre’s deforestation reduction rate across all of Brazil’s forested areas would
lower its 2020 emissions by 0.204 gigatons of carbon dioxide equivalent, compared to
the deforestation reductions Brazil has maintained over the last four years.
Case Study 3: Belo Horizonte, Brazil
The Emissions Impact of Belo Horizonte’s Waste Management Strategy
To determine the impact of implementing Belo Horizonte’s waste management pro-
gram at the national scale, we first determined the reduction in solid waste emis-
sions that resulted from Belo Horizonte’s policies. The average population growth
for Belo Horizonte in the years between 2000 and 2010 was used to project the city’s
growth until 2020. Comparing the projected emissions from solid waste and popula-
tion growth enabled us to calculate the per capita reductions emission resulting from
Belo Horizonte’s biogas program.
Scaling Belo Horizonte’s Emissions Impact to the National Level
To scale the emissions impact of Belo Horizonte to a national level, we assumed that
other large cities in Brazil - those with a population of 500,000 or more - would be most
able and likely to implement similar programs. The emissions reductions were applied
to the 39 Brazilian cities that contain at least 500,000 residents (as of 2014), based on
their projected population growth to 2020.
If scaled nationally, Belo Horizonte’s biogas program would result in lowering Brazil’s
emissions by 9 million tons in 2020, from 564 million tons to 555 million tons. Between
2015 and 2020, this expansion of biogas would save a total of 42 million tons.
APPENDIX

Case Study 4: British Columbia, Canada
The Emissions Impact of British Columbia’s Carbon Tax
To determine the emissions impact that would occur if Canada adopted British Colum-
bia’s carbon tax, we estimated the emissions reductions that a national fossil fuel tax
would generate, using fuel sales data, and subtracted the emissions reductions from
the nation’s projected total emissions between 2015 and 2020. The first step of this
process involved finding the fossil fuel emissions of British Columbia and Canada,
between 2008, the year British Columbia enacted its carbon tax, and 2014. Provin-
cial sales tax data and Canadian emissions factors for the fuels covered by the tax
enabled us to calculate the reduction in fossil fuel emissions that resulted from British
Columbia’s carbon tax. Natural domestic sales tax data and Canadian emissions
factors enabled us to calculate the growth rate of fossil fuel emissions in Canada.
Notably, these calculations assume that the drop in fossil fuel sales over time can be
attributed to the effect of the carbon tax; we recognize that there are other factors that
affect domestic fuel sales, which may not be accounted for in this analysis.
Determining Emissions Impact of the Carbon Tax at the National Level
We projected Canada’s future emissions from fossil fuel use between 2015 and 2020,
based on historical data from 2008 to 2014. We also projected another 2015-2020
scenario, that applied British Columbia’s rate of reduction in fossil fossil emissions to
the national level. We calculated the difference in the emissions generated by these
two scenarios, to determine the emissions reductions that could be realized by apply-
ing a national carbon tax.
To put this emissions reduction in the context of Canada’s total emissions, the emis-
sions reductions that would occur if Canada implemented a national carbon tax were
subtracted from Canada’s business as usual (BAU) emissions scenario. Canada’s
business as usual scenario was calculated based on historical data from 2008 to 2012
(the last year of available data for the Canada’s total emissions).
If scaled to the national level, British Columbia’s carbon tax would reduce Canada’s
annual 2020 emissions by 87 million tons of carbon dioxide equivalent, from 857 mil-
lion tons to 770 million tons. Expanding the carbon tax shift model to the rest of the
country would help close the gap between Canada’s 2020 reduction goals (17 percent
below 2005 levels by 2020) and its emissions trajectory by over a third – at about 35
percent.

95
Case Study 5: Shenzhen, China
China’s Projected Emissions
Determining the impact of the adoption of Shenzhen’s emissions trading scheme (ETS)
on the national level depends on the expected growth of China’s carbon emissions.
Table 1 and Figure S2 summarize different estimates of the ways China’s emissions
are expected to grow by 2020 and 2030, in terms of both the country’s total carbon
emissions and its average annual carbon emission growth rate. These projections are
based on the country’s 2010 emissions data.
Table 1. China’s projected carbon emissions in 2020 and 2030
Year Projected Emis-
sions (Green &
Stern, 2015)
Projected Emis-
sions (Climate
Action Tracker)
Annual Emission
Growth Rate (Green
& Stern, 2015)
Annual Emissions
Growth Rate (Cli-
mate Action Tracker)
2020 12.6 - 13.5 Gt 12.2 - 12.6 Gt 2.97 - 3.69% 2.64 - 2.97%
2030 13.8 - 16.5 Gt 13.8 - 14.4 Gt 1.94 - 2.85% 1.94 - 2.1 %
Business-As-Usual (BAU) Projected Carbon Emissions
APPENDIX
*China’s actual 2012 carbon emissions were 9.4Gt.

Figure S2. China’s projected carbon emissions in 2020 and 2030. The boxes
represent the range of China’s projected emissions, according to averaged esti-
mates from two sources (Green & Stern, 2015 & Climate Action Tracker, 2015).
The solid black line represents the projected median level of emissions, while the
red dot represents the projected mean level of emissions in 2020 and 2030.
12.7275
14.6225
12
13
14
15
16
2020 2030
TotalProjectedEmissionsofChina(GtofCarbonDioxide)
Projected Year
2020
2030

97
Assumptions
Scaling the mitigation potential of Shenzhen’s ETS to the national level rests on sev-
eral key assumptions:
• China’s ETS will cover roughly the same proportion (40 percent) of carbon emis-
sions as Shenzhen’s ETS;
• China’s national ETS participants will have the same reduction rate (11.7 percent)
as Shenzhen’s compliant companies had in 2013.
• In 2013, Shenzhen’s ETS cut the city’s total carbon emissions by 4.68 percent.
China will establish its national ETS in 2016 or 2017, so carbon emission reduc-
tions can only occur at the national level from 2016 onwards.
• A “Business-As-Usual” (BAU) scenario of China’s total emissions was calculated
by averaging two estimates of China’s future emissions (these estimates came
from the New Normal Report (Green & Stern, 2015), and Climate Action Tracker
(2015)).
Potential Pathways for Scaling Shenzhen’s Emissions Impact to the Na-
tional Level
While China’s government has decided to expand an ETS to the national level, how it
will nationalize it remains unclear. There are two potential pathways:
• China could connect the emissions markets of the seven pilot cities first, then ex-
pand it to all cities or provinces gradually; or,
• China could build an emissions trading market in all mega-cities (i.e., cities with a
population greater than 10 million), and allow the markets to trade between each
other.
Both pathways anticipate that the government will apply the ETS to urban areas. The
emission per capita and population growth rates will likely be similar across these
areas, so the impact of adopting the ETS on the national level emission could be de-
termined by scaling its impact up in terms of population.
Assuming that all seven pilot cities’ ETS would cover the same proportion of total
emissions as Shenzhen’s ETS, their annual emissions impact would reach 0.17 giga-
tons (17 million tons) by 2020. In 2010, China contained 45 cities that had a popula-
tion greater than one million. If the national ETS covered these 45 mega city areas,
in addition to the seven pilot ETS cities, the annual emission reduction would be 0.25
gigatons by 2020 (Figure. 2). Between 2016 and 2020, this approach would reduce a
total of 0.86 gigatons of carbon dioxide.
APPENDIX

Case Study 6: Hamburg, Germany
The Emissions Impact of Hamburg’s Voluntary Industry Agreement
The emissions impact of Hamburg’s voluntary industry agreement was taken directly
from the city’s assessment of its 2007-2012 Climate Action Plan.
Scaling Hamburg’s Emissions Impact to the National Level
To determine the mitigation impact of expanding Hamburg’s engagement with industry
to the national level, we relied on data specifying the different contributions of industry
to the city’s and the country’s total emissions. These ratios allowed us to apply car-
bon dioxide reductions realized in Hamburg to calculate the carbon dioxide reductions
possible across Germany as a whole. These reductions were then subtracted from
Germany’s business as usual emissions scenario, which was calculated using a linear
projection of its historical data, to determine the overall effect of a national engage-
ment with industry on Germany’s 2020 emissions.
Applying Hamburg’s approach at the national level could reduce Germany’s business
as usual emissions (calculated using a linear projection of its historical data) by 23 mil-
lion tons in 2020, lowering it from 837 million tons to 814 million tons of carbon dioxide.
This strategy could help close the gap between Germany’s 2020 reduction goal, and
the path suggested by its historical emissions, by about 16.5 percent. (Germany’s
goal is to lower national emissions 40 percent below 1990 levels by 2020.) Expanding
Hamburg’s support of voluntary industry commitments to the national level would re-
sult in an annual reduction of 23 million tons in 2020. This strategy could help close the
gap between Germany’s 2020 reduction goal, and the path suggested by its historical
emissions, by about 16.5 percent. Between 2015 and 2020, scaling up Hamburg’s
partnership with industry could save a total of 94 million tons, an amount equivalent to
the annual energy use of 8.5 million homes (EPA, 2015).
Case Study 7: Rajasthan, India
Scaling Rajasthan’s Emissions Impact to the National Level
To calculate the impact of scaling Rajasthan’s solar policies to the national level, we
applied the growth rate Rajasthan has demonstrated in its expansion of solar energy
to India’s other states, during 2015 to 2020. This approach accounts for explicitly
state-supported solar projects, as well as projects that have spearheaded by the pri-
vate sector, but (we assume) have also been facilitated by Rajasthan’s work to elimi-
nate obstacles in financing and acquiring land for solar utilities. Rajasthan’s high rate
of solar capacity also depends on factors, such as its availability of large tracts of land
and high solar potential, that other states might not share. To account for this disparity
between the solar potentials of different parts of the country, we used the rate of Ra-

99
jasthan’s solar installation (rather than the net amount of solar capacity it has installed)
to scale its policies to the national level. An emissions factor from India’s Central
Electricity Authority’s CO2 Baseline Database (which was based on data from 2009
through 2014) translated the impact of renewable energy into the resulting reduction
of carbon dioxide emissions.
As Figure 9 illustrates, if Rajasthan’s solar policies were to be applied across India, the
country’s 2020 emissions would fall by 202 million tons of carbon dioxide, from 3.321
gigatons to 3.119 gigatons. In total, adopting this rate of solar energy expansion would
reduce 0.398 gigatons of carbon dioxide between 2015 and 2020, an amount equal to
approximately 19 percent of India’s total carbon dioxide emissions in 2012.
Case Study 8: Kuyasa, South Africa
The Emissions Impact of the Kuyasa’s Energy Efficiency Program
In total, the Kuyasa energy efficiency project reduced emissions by 2.80 tons per
household, an amount calculated using a suppressed demand calculation methodol-
ogy, and specifically, the Indicative Simplified Baseline and Monitoring methodologies
for selected small-scale Clean Development Mechanism project activity categories.
The suppressed demand calculation methodology determines the emissions impact of
energy services in an area where income or infrastructure limits energy access.
This approach assumes that the baseline for a project’s energy use should “reflect the
technology and/or service levels that would be required if suppressed demand did not
exist, rather than the technology currently in use by poor households” (Clean Develop-
ment Mechanism Simplified Project Design Document for Small Scale Project Activi-
ties, 2005). In other words, suppressed demand calculations compare the emissions
impact of new projects to the energy use and emissions that would occur if residents
had access to traditional sources of energy. Without this assumption, projects that
expand energy access could often be found to create a net increase in overall energy
consumption.
Scaling Kuyasa’s Emissions Impact to the National Level
To determine the impact of expanding the Kuyasa Project to the national level, we
applied the household reduction in emissions to South Africa’s entire low income pop-
ulation. Assessments of the Kuyasa Project determined that energy “demand would
be suppressed similarly in other communities in South Africa with a similar socio-eco-
nomic status” (Clean Development Mechanism Simplified Project Design Document
for Small Scale Project Activities, 2005), making the application of the suppressed
demand calculation appropriate.
The City of Cape Town defines the poverty line in terms of an income of less than
3,500 Rand per month, a number which includes about 35.7% of the city’s population
(City of Cape Town, 2012). This translates into a yearly income of 42,000 Rand, a total
APPENDIX

which approximately corresponds to the first three quintiles used by the South African
census to classify population based on income (specifically, theses quintiles account
for citizens with yearly incomes of or below 43,897.15 Rand (Quintile 3)). Based on
these numbers, the GHG reductions per capita can be scaled up to the first three
quintiles of South Africa’s national population.
Scaling this program up to all of South Africa’s low-income households could result in
a net reduction of 148 million tons of carbon dioxide between 2015 and 2020. This
approach could lower South Africa’s 2020 emissions by 35 million tons, from 473 mil-
lion tons to 438 million tons of carbon dioxide. It lowers the gap between the country’s
2020 goal, of reducing its scenario 34 percent below a business as usual scenario by
2020, and its current pathway, by approximately 22 percent. This contextualization
uses South Africa’s historical emissions to project its business as usual scenario.
Case Study 9: California, United States of America
Scaling up California’s Advanced Clean Cars Program
To determine the emissions impact that would occur if California’s entire Advanced
Clean Cars Program were to be scaled nationally, we first calculated the average
baseline carbon dioxide emissions that passenger vehicles, light trucks, and combined
light-duty vehicles would emit in the absence of the Advanced Clean Cars Program,
using data from California Environmental Protection Agency (CalEPA). This yielded
an average protected baseline of 341 grams of carbon dioxide emitted per mile trav-
eled by the vehicle. We then determined the average projected 2020 emissions from
these vehicle classes if the Advanced Clean Car Program were to be implemented,
again using projections from CalEPA to arrive at a total of 211 grams of carbon dioxide
emitted per mile traveled by the vehicle.
Both of these numbers – the projected baseline emissions, and the projected emis-
sions if the Advanced Clean Cars program were in place – were multiplied by 0.68
(the ratio of cars covered by the Advanced Clean Cars program to the total number
of cars on the road) and by the projected annual number of vehicle miles traveled in
the US in 2020 (3.5332 x 1012 miles) according to projections based on United States
Department of Transportation data. The emissions produced under the Advanced
Clean Cars Program were subtracted from the baseline emissions, and yielded a total
of 289, 110,142 metric tons of carbon dioxide.
This reduction was subtracted from the business-as-usual (BAU) carbon dioxide emis-
sions for the United States in 2020. The BAU was calculated through a linear pro-
jection of historic carbon dioxide emissions from energy and industry, provided by the
U.S. Energy Information Administration (US EIA, 2011). Since the United States BAU
projection includes California’s AB 32 legislation, which encompasses the Advanced
Clean Cars Program, in its calculations, we projected the BAU, rather than using offi-
cial estimates of this target, to avoid accounting for the impact of the Advanced Clean
Car Program twice.

101
Since the emissions factors of the Advanced Clean Cars Program relate to carbon
dioxide, and not to carbon dioxide equivalent, we limited this case study to carbon
dioxide emissions, which also contributes to the difference between the BAU used
in this case study and the BAU target estimates adopted by United States agencies
(6.1 gigatons of carbon dioxide equivalent in 2020, according to projections based on
the U.S. Environmental Protection Agency’s data, and 5.9 gigatons of carbon dioxide
equivalent in 2020, according to projections based on the U.S. Energy Information
Administration.
Scaling up California’s Comprehensive Climate Policies
We used CalEPA estimates to determine the total greenhouse gas reduction impact
of all of California’s climate policies; ARB estimates that all of California’s climate pol-
icies combined will achieve a 144.3 million metric ton of carbon dioxide equivalent
reduction in 2020. We calculated a 3.719 ton of carbon dioxide equivalent per capita
reduction rate using California population data. We then applied this per capita rate
of emissions reduction to the U.S. population, to determine that 1,186 million tons of
carbon dioxide equivalent would be reduced in 2020, if the U.S. adopted California’s
comprehensive suite of climate policies. The projected emissions reduction in 2020
from all California climate policies could help close the gap between the U.S.’s 2020
climate goal, and its business-as-usual scenario, by about one-fifth, or 20 percent.
APPENDIX

R20 Regions of Climate Action
48 Chemin du Grand Montfleury
CH-1290, Geneva
Switzerland
www.environment.yale.edu
www.stanleyfoundation.org
www.regions20.org
www.schwarzeneggerinstitute.com

Scaling UP -R20

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