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Investment versus Output Subsidies: Implications of Alternative Incentives for Wind Energy. (2018). Sweeney, Richard ; Gerarden, Todd ; Aldy, Joseph.
In: NBER Working Papers.
RePEc:nbr:nberwo:24378.

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Cites: 33

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  1. Farm size, spatial externalities, and wind energy development. (2024). Winikoff, Justin B ; Parker, Dominic P.
    In: American Journal of Agricultural Economics.
    RePEc:wly:ajagec:v:106:y:2024:i:4:p:1518-1543.

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  2. Carbon Pricing, Clean Electricity Standards, and Clean Electricity Subsidies on the Path to Zero Emissions. (2022). Borenstein, Severin ; Kellogg, Ryan.
    In: NBER Chapters.
    RePEc:nbr:nberch:14705.

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  3. Asymmetric Information on the Market for Energy Efficiency: Insights from the Credence Goods Literature. (2021). Lanz, Bruno ; Reins, Evert.
    In: The Energy Journal.
    RePEc:sae:enejou:v:42:y:2021:i:4:p:91-110.

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  4. Dynamic Analysis of the Similarity of Objects in Research on the Use of Renewable Energy Resources in European Union Countries. (2021). Dylewski, Marek ; Zioo, Magdalena ; Bk, Iwona ; Spoz, Anna.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:13:p:3952-:d:586939.

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  5. The impact of technical efficiency, innovation, and climate policy on the economic viability of renewable electricity generation. (2021). Lee, Jonathan ; Howard, Gregory.
    In: Energy Economics.
    RePEc:eee:eneeco:v:100:y:2021:i:c:s0140988321002632.

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  6. Impacts of government R&D subsidies on venture capital and renewable energy investment -- an empirical study in China. (2020). Wu, Ting ; Yang, Shuwang ; Tan, Jingjing.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719302806.

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  7. China’s Industrial Policy: an Empirical Evaluation. (2019). Zahur, Nahim Bin ; Barwick, Panle ; Kalouptsidi, Myrto.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:26075.

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  8. R&D Subsidies as Dual Signals in Technological Collaborations. (2019). Murtinu, Samuele ; Scalera, Vittoria G ; Bianchi, Mattia.
    In: Research Policy.
    RePEc:eee:respol:v:48:y:2019:i:9:13.

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  9. Chinas Industrial Policy: an Empirical Evaluation. (2019). Zahur, Nahim Bin ; Barwick, Panle ; Kalouptsidi, Myrto.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:13889.

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  10. Environmental Policies in the Transportation Sector: Taxes, Subsidies, Mandates, Restrictions, and Investment. (2018). Lin Lawell, C.-Y. Cynthia ; Heres, David ; Kheiravar, Khaled H ; Beaudoin, Justin ; Lade, Gabriel E ; Yi, Fujin ; Chen, Yuan ; Zhang, Wei ; Lin Lawell, C.-Y. Cynthia, .
    In: ISU General Staff Papers.
    RePEc:isu:genstf:201808150700001050.

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References

References cited by this document

  1. • 3Tier windspeed data provided hourly estimated wind speed data from 2000 to 2014 for every wind farm in the EIA database.33 These hourly data are collapsed to the monthly level and combined with monthly electricity generation data from the EIA.
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  2. Additional sample Restrictions There are 941 wind farms in the continental U.S. in the EIA data. We restrict attention to plants that are private and operate as either independent power producers or part of an investor-owned utility based on subsidy eligibility, which reduces the sample to 817 wind farms. We also restrict the sample to plants entering before the end of the 1603 grant period (end of 2012). There are two ways of determining when a plant is placed into service using on the EIA data: we could use either the date plants submit to the EIA as their first date of commercial operation or the month that a plant’s production first appears in the production date.
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  21. In these cases, we aggregated 1603 grants to the wind farm level (the level of observation in the EIA databases). For example, the large Alta wind farm in California came online in phases starting in late 2010 and its developers submitted more than twenty 1603 grants. These data were provided by Joern Huenteler, Gabe Chan, Tian Tang, and Laura Diaz Anadon, collected as part of their (unpublished) research on “Why Hasn’t China’s Wind Power Generation Lived up to its Potential?”. A handful of EIA plant locations were either entered erroneously or downloaded improperly, and are excluded from the sample.
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  23. Lantz, E., R. Wiser, and M. Hand (2012). IEA Wind Task 26: The Past and Future Cost of Wind Energy. Technical Report NREL/TP-6A20-53510, National Renewable Energy Laboratory, Golden, CO.
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  24. Metcalf, G. E. (2010). Investment in Energy Infrastructure and the Tax Code. In J. R. Brown (Ed.), Tax Policy and the Economy, Volume 24, pp. 1–33. Chicago: University of Chicago Press.

  25. Novan, K. (2015). Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided. American Economic Journal: Economic Policy 7(3), 291–326.

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  31. Second, a wind farm could be built with N turbines that come online before 2009, for which it claims the PTC. It may then expand with M turbines in 2009 and claim a 1603 grant for these new turbines. The EIA-observed output for that wind farm after 2009 would reflect the aggregate production of the N+M turbines. Since we cannot distinguish the output between the N PTC-claiming turbines and the M 1603 grant-claiming turbines at such a wind farm, we drop the wind farm from our sample. We identified such cases as wind farms that claimed a 1603 grant over 2009-2012, but had either substantial pre-2009 generation or a significant change in installed capacity post-2012. Using these decision rules, we dropped thirteen wind farms that represent less than four percent of total 1603 grant outlays for large wind farms.
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