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Material demand and material efficiency for sustainable development in the European Union countries: A stochastic frontier analysis. (2024). Karakaya, Etem ; Hiyilmaz, Burcu ; Alata, Sedat.
In: Sustainable Development.
RePEc:wly:sustdv:v:32:y:2024:i:1:p:166-183.

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  1. Analysing group‐ and metatechnology efficiencies and technology gap of airlines for a sustainable future. (2025). See, Kok Fong ; Yu, Mingmiin ; Guo, Yongli.
    In: Sustainable Development.
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  1. Adetutu, M. O., Glass, A. J., & Weyman‐Jones, T. G. (2016). Economy‐wide estimates of rebound effects: Evidence from panel data. The Energy Journal, 37(3), 251–269.

  2. Adom, P. K., Agradi, M., & Vezzulli, A. (2021). Energy efficiency‐economic growth nexus: What is the role of income inequality? Journal of Cleaner Production, 310, 127382. https://doi.org/10.1016/j.jclepro.2021.127382.
    Paper not yet in RePEc: Add citation now
  3. Adom, P. K., Amakye, K., Abrokwa, K. K., & Quaidoo, C. (2018). Estimate of transient and persistent energy efficiency in Africa: A stochastic frontier approach. Energy Conversion and Management, 166, 556–568. https://doi.org/10.1016/j.enconman.2018.04.038.
    Paper not yet in RePEc: Add citation now
  4. Agradi, M., Adom, P. K., & Vezzulli, A. (2022). Towards sustainability: Does energy efficiency reduce unemployment in African societies? Sustainable Cities and Society, 79, 103683. https://doi.org/10.1016/j.scs.2022.103683.
    Paper not yet in RePEc: Add citation now
  5. Alataş, S. (2021). The role of information and communication technologies for environmental sustainability: Evidence from a large panel data analysis. Journal of Environmental Management, 293, 112889. https://doi.org/10.1016/j.jenvman.2021.112889.
    Paper not yet in RePEc: Add citation now
  6. Alberini, A., & Filippini, M. (2018). Transient and persistent energy efficiency in the US residential sector: Evidence from household‐level data. Energy Efficiency, 11, 589–601. https://doi.org/10.1007/s12053-017-9599-z.
    Paper not yet in RePEc: Add citation now

  7. Ali, S. H., Giurco, D., Arndt, N., Nickless, E., Brown, G., Demetriades, A., Durrheim, R., Enriquez, M. A., Kinnaird, J., Littleboy, A., Meinert, L. D., Oberhänsli, R., Salem, J., Schodde, R., Schneider, G., Vidal, O., & Yakovleva, N. (2017). Mineral supply for sustainable development requires resource governance. Nature, 543(7645), 367–372. https://doi.org/10.1038/nature21359.

  8. Allwood, J. M., Ashby, M. F., Gutowski, T. G., & Worrell, E. (2011). Material efficiency: A white paper. Resources, Conservation and Recycling, 55(3), 362–381. https://doi.org/10.1016/j.resconrec.2010.11.002.

  9. Allwood, J. M., Cullen, J. M., & Milford, R. L. (2010). Options for achieving a 50% cut in industrial carbon emissions by 2050. Environmental Science and Technology, 44(6), 1888–1894. https://doi.org/10.1021/es902909k.
    Paper not yet in RePEc: Add citation now
  10. Alola, A. A., Akadiri, S. S., & Usman, O. (2021). Domestic material consumption and greenhouse gas emissions in the EU‐28 countries: Implications for environmental sustainability targets. Sustainable Development, 29(2), 388–397. https://doi.org/10.1002/sd.2154.
    Paper not yet in RePEc: Add citation now

  11. Amjadi, G., & Lundgren, T. (2022). Is industrial energy inefficiency transient or persistent? Evidence from Swedish Manufacturing. Applied Energy, 309, 118324. https://doi.org/10.1016/j.apenergy.2021.118324.

  12. Amjadi, G., Lundgren, T., & Persson, L. (2018). The rebound effect in Swedish heavy industry. Energy Economics, 71, 140–148. https://doi.org/10.1016/j.eneco.2018.02.001.

  13. Arehart, J. H., Pomponi, F., D'Amico, B., & Srubar, W. V. (2022). Structural material demand and associated embodied carbon emissions of the United States building stock: 2020–2100. Resources, Conservation and Recycling, 186, 106583. https://doi.org/10.1016/j.resconrec.2022.106583.
    Paper not yet in RePEc: Add citation now

  14. Badunenko, O., & Kumbhakar, S. C. (2016). When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models. European Journal of Operational Research, 255(1), 272–287. https://doi.org/10.1016/j.ejor.2016.04.049.

  15. Bataille, C. G. F. (2020). Physical and policy pathways to net‐zero emissions industry. WIREs Climate Change, 11(2), 1–20. https://doi.org/10.1002/wcc.633.
    Paper not yet in RePEc: Add citation now
  16. Bataille, C., Åhman, M., Neuhoff, K., Nilsson, L. J., Fischedick, M., Lechtenböhmer, S., Solano‐Rodriquez, B., Denis‐Ryan, A., Stiebert, S., Waisman, H., Sartor, O., & Rahbar, S. (2018). A review of technology and policy deep decarbonization pathway options for making energy‐intensive industry production consistent with the Paris agreement. Journal of Cleaner Production, 187, 960–973. https://doi.org/10.1016/j.jclepro.2018.03.107.
    Paper not yet in RePEc: Add citation now
  17. Baumert, K. A., Herzog, T., & Pershing, J. (2005). Navigating the numbers: Greenhouse gas data and international climate policy.
    Paper not yet in RePEc: Add citation now

  18. Belotti, F., Daidone, S., Ilardi, G., & Atella, V. (2013). Stochastic frontier analysis using Stata. Stata Journal, 13(4), 719–758. https://doi.org/10.1177/1536867x1301300404.

  19. Carvalho, A. (2018). Energy efficiency in transition economies: A stochastic frontier approach. The Economics of Transition, 26(3), 553–578. https://doi.org/10.1111/ecot.12152.

  20. Colombi, R., Kumbhakar, S. C., Martini, G., & Vittadini, G. (2014). Closed‐skew normality in stochastic frontiers with individual effects and long/short‐run efficiency. Journal of Productivity Analysis, 42(2), 123–136. https://doi.org/10.1007/s11123-014-0386-y.

  21. Davis, S. J., Lewis, N. S., Shaner, M., Aggarwal, S., Arent, D., Azevedo, I. L., Benson, S. M., Bradley, T., Brouwer, J., Chiang, Y.‐M., Clack, C. T. M., Cohen, A., Doig, S., Edmonds, J., Fennell, P., Field, C. B., Hannegan, B., Hodge, B.‐M., Hoffert, M. I., … Caldeira, K. (2018). Net‐zero emissions energy systems. Science, 360(6396), 1–9. https://doi.org/10.1126/science.aas9793.
    Paper not yet in RePEc: Add citation now
  22. Deetman, S., Pauliuk, S., Van Vuuren, D. P., van der Voet, E., & Tukker, A. (2018). Scenarios for demand growth of metals in electricity generation technologies. Cars, and Electronic Appliances, 52, 4950–4959. https://doi.org/10.1021/acs.est.7b05549.
    Paper not yet in RePEc: Add citation now
  23. Edziah, B. K., Sun, H., Anyigbah, E., & Li, L. (2021). Human capital and energy efficiency: Evidence from developing countries. American Journal of Industrial and Business Management, 11(6), 599–610. https://doi.org/10.4236/ajibm.2021.116038.
    Paper not yet in RePEc: Add citation now
  24. Elshkaki, A., & Graedel, T. E. (2013). Dynamic analysis of the global metals flows and stocks in electricity generation technologies. Journal of Cleaner Production, 59, 260–273. https://doi.org/10.1016/J.JCLEPRO.2013.07.003.
    Paper not yet in RePEc: Add citation now
  25. European Commission. (2020b). Study on EU's list of critical raw materials‐final report.
    Paper not yet in RePEc: Add citation now
  26. Evans, J., Filippini, M., & Hunt, L. C. (2013). The contribution of energy efficiency towards meeting CO2 targets. In R. Fouquet (Ed.), In handbook on energy and climate change (pp. 175–223). Edward Elgar Publishing.
    Paper not yet in RePEc: Add citation now

  27. Filippini, M., & Hunt, L. C. (2011). Energy demand and energy efficiency in the OECD countries : A stochastic demand frontier approach. The Energy Journal, 32(2), 59–80.

  28. Filippini, M., & Hunt, L. C. (2012). US residential energy demand and energy efficiency: A stochastic demand frontier approach. Energy Economics, 34(5), 1484–1491. https://doi.org/10.1016/j.eneco.2012.06.013.

  29. Filippini, M., & Hunt, L. C. (2015). Measurement of energy efficiency based on economic foundations. Energy Economics, 52, S5–S16. https://doi.org/10.1016/j.eneco.2015.08.023.

  30. Filippini, M., & Hunt, L. C. (2016). Measuring persistent and transient energy efficiency in the US. Energy Efficiency, 9(3), 663–675. https://doi.org/10.1007/s12053-015-9388-5.
    Paper not yet in RePEc: Add citation now
  31. Filippini, M., & Orea, L. (2014). Applications of the stochastic frontier approach in the analysis of energy issues. Economics and Business Letters, 3(1), 35–42.
    Paper not yet in RePEc: Add citation now
  32. Filippini, M., & Zhang, L. (2016). Estimation of the energy efficiency in Chinese provinces. Energy Efficiency, 9, 1315–1328. https://doi.org/10.1007/s12053-016-9425-z.
    Paper not yet in RePEc: Add citation now

  33. Goh, T., & Ang, B. W. (2020). Four reasons why there is so much confusion about energy efficiency. Energy Policy, 146, 111832. https://doi.org/10.1016/j.enpol.2020.111832.

  34. Greene, W. (2005a). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, 23(1), 7–32. https://doi.org/10.1007/s11123-004-8545-1.

  35. Greene, W. (2005b). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126(2), 269–303. https://doi.org/10.1016/j.jeconom.2004.05.003.

  36. Greene, W. H. (1990). A gamma‐distributed stochastic frontier model. Journal of Econometrics, 46(1–2), 141–163. https://doi.org/10.1016/0304-4076(90)90052-U.
    Paper not yet in RePEc: Add citation now
  37. He, R., & Small, M. J. (2022). Forecast of the U.S. copper demand: A framework based on scenario analysis and stock dynamics. Environmental Science and Technology, 56(4), 2709–2717. https://doi.org/10.1021/acs.est.1c05080.
    Paper not yet in RePEc: Add citation now

  38. Huang, T., Shi, F., Tanikawa, H., Fei, J., & Han, J. (2013). Materials demand and environmental impact of buildings construction and demolition in China based on dynamic material flow analysis. Resources, Conservation and Recycling, 72, 91–101. https://doi.org/10.1016/j.resconrec.2012.12.013.

  39. Hunt, L. C., & Kipouros, P. (2023). Energy demand and energy efficiency in developing countries. Energies, 16(3), 1056. https://doi.org/10.3390/en16031056.

  40. IEA. (2019). Material efficiency in clean energy transitions. Material Efficiency in Clean Energy Transitions, (Issue October). https://doi.org/10.1787/aeaaccd8-en.
    Paper not yet in RePEc: Add citation now
  41. IEA. (2020). Energy Efficiency. https://www.iea.org/reports/energy-efficiency-2020.
    Paper not yet in RePEc: Add citation now
  42. IEA. (2020). Energy Technology Perspectives 2020. https://www.iea.org/reports/energy-technology-perspectives-2020.
    Paper not yet in RePEc: Add citation now
  43. IEA. (2021). Net Zero by 2050‐ A Roadmap for the Global Energy Sector (4th revision). www.iea.org/tandc/.
    Paper not yet in RePEc: Add citation now
  44. IEA. (2022). The role of critical minerals in clean energy transitions. https://doi.org/10.1787/f262b91c-en.
    Paper not yet in RePEc: Add citation now
  45. International Resource Panel (IRP). (2020). Resource efficiency and climate change: Material efficiency strategies for a low‐carbon future. https://doi.org/10.5281/zenodo.3542680.
    Paper not yet in RePEc: Add citation now
  46. IPCC. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. https://www.ipcc.ch/report/ar6/wg3/downloads/report/IPCC_AR6_WGIII_FullReport.pdf.
    Paper not yet in RePEc: Add citation now

  47. Jin, T., & Kim, J. (2019). A new approach for assessing the macroeconomic growth energy rebound effect. Applied Energy, 239(August 2018), 192–200. https://doi.org/10.1016/j.apenergy.2019.01.220.

  48. Jondrow, J., Knox Lovell, C. A., Materov, I. S., & Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics, 19(2–3), 233–238. https://doi.org/10.1016/0304-4076(82)90004-5.

  49. Jones, B., Elliott, R. J. R., & Nguyen‐Tien, V. (2020). The EV revolution: The road ahead for critical raw materials demand. Applied Energy, 280, 115072. https://doi.org/10.1016/j.apenergy.2020.115072.

  50. Karakaya, E., Sarı, E., & Alataş, S. (2021). What drives material use in the EU? Evidence from club convergence and decomposition analysis on domestic material consumption and material footprint. Resources Policy, 70, 101904. https://doi.org/10.1016/j.resourpol.2020.101904.

  51. Kastanaki, E., & Giannis, A. (2022). Forecasting quantities of critical raw materials in obsolete feature and smart phones in Greece: A path to circular economy. Journal of Environmental Management, 307, 114566. https://doi.org/10.1016/j.jenvman.2022.114566.
    Paper not yet in RePEc: Add citation now

  52. Kovanda, J., & Hak, T. (2008). Changes in materials use in transition economies. Journal of Industrial Ecology, 12(5/6), 721–738. https://doi.org/10.1111/j.1530-9290.2008.00088.x.

  53. Kumbhakar, S. C., & Heshmati, A. (1995). Efficiency measurement in Swedish dairy farms: An application of rotating panel data, 1976–88. American Journal of Agricultural Economics, 77(3), 660–674. https://doi.org/10.2307/1243233.

  54. Kumbhakar, S. C., & Hjalmarsson, L. (1995). Labour‐use efficiency in Swedish social insurance offices. Journal of Applied Econometrics, 10(1), 33–47. https://doi.org/10.1002/jae.3950100104.

  55. Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge University Press. https://doi.org/10.1017/CBO9781139174411.
    Paper not yet in RePEc: Add citation now

  56. Kumbhakar, S. C., Lien, G., & Hardaker, J. B. (2014). Technical efficiency in competing panel data models: A study of Norwegian grain farming. Journal of Productivity Analysis, 41(2), 321–337. https://doi.org/10.1007/s11123-012-0303-1.

  57. Kumbhakar, S. C., Wang, H.‐J., & Horncastle, A. P. (2015). A Practitioner's Guide to Stochastic Frontier Analysis Using Stata. Cambridge University Press. https://doi.org/10.1017/cbo9781139342070.

  58. Lien, G., Kumbhakar, S. C., & Alem, H. (2018). Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop‐producing farms. International Journal of Production Economics, 201, 53–61. https://doi.org/10.1016/j.ijpe.2018.04.023.

  59. Lin, B., & Long, H. (2015). A stochastic frontier analysis of energy efficiency of China's chemical industry. Journal of Cleaner Production, 87(C), 235–244. https://doi.org/10.1016/j.jclepro.2014.08.104.
    Paper not yet in RePEc: Add citation now
  60. Lin, B., & Wang, X. (2014). Exploring energy efficiency in China's iron and steel industry: A stochastic frontier approach. Energy Policy, 72, 87–96. https://doi.org/10.1016/j.enpol.2014.04.043.
    Paper not yet in RePEc: Add citation now

  61. Liu, F., Sim, J. Y., Sun, H., Edziah, B. K., Adom, P. K., & Song, S. (2023). Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective. China Economic Review, 77, 101897. https://doi.org/10.1016/j.chieco.2022.101897.

  62. Marin, G., & Palma, A. (2017). Technology invention and adoption in residential energy consumption: A stochastic frontier approach. Energy Economics, 66, 85–98. https://doi.org/10.1016/j.eneco.2017.06.005.
    Paper not yet in RePEc: Add citation now
  63. Masternak‐Janus, A. (2019). Efficiency of materials management in the European Union. World Journal of Entrepreneurship Management and Sustainable Development, 15(4), 354–365. https://doi.org/10.1108/WJEMSD-03-2019-0019.
    Paper not yet in RePEc: Add citation now
  64. Masternak‐Janus, A. (2022). Measuring the efficiency of materials management based on data envelopment analysis approach: The case of polish regions. Papers in Regional Science, 101(3), 603–618. https://doi.org/10.1111/PIRS.12661.
    Paper not yet in RePEc: Add citation now
  65. Material Economics. (2019). Industrial Transformation 2050. https://materialeconomics.com/publications/industrial-transformation-2050.
    Paper not yet in RePEc: Add citation now
  66. Mazur‐Wierzbicka, E. (2021). Circular economy: Advancement of European Union countries. Environmental Sciences Europe, 33(1), 111. https://doi.org/10.1186/s12302-021-00549-0.
    Paper not yet in RePEc: Add citation now

  67. Mutz, R., Bornmann, L., & Daniel, H. D. (2017). Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data. Journal of Informetrics, 11(3), 613–628. https://doi.org/10.1016/J.JOI.2017.04.009.

  68. Ofori, I. K., Gbolonyo, E. Y., & Ojong, N. (2023). Foreign direct investment and inclusive green growth in Africa: Energy efficiency contingencies and thresholds. Energy Economics, 117, 106414. https://doi.org/10.1016/j.eneco.2022.106414.

  69. Onat, N. C., Abdella, G. M., Kucukvar, M., Kutty, A. A., Al‐Nuaimi, M., Kumbaroğlu, G., & Bulu, M. (2021). How eco‐efficient are electric vehicles across Europe? A regionalized life cycle assessment‐based eco‐efficiency analysis. Sustainable Development, 29(5), 941–956. https://doi.org/10.1002/sd.2186.

  70. Otsuka, A. (2017). Determinants of efficiency in residential electricity demand: Stochastic frontier analysis on Japan. Energy, Sustainability and Society, 7, 31. https://doi.org/10.1186/s13705-017-0135-y.
    Paper not yet in RePEc: Add citation now

  71. Pitt, M. M., & Lee, L. F. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9(1), 43–64. https://doi.org/10.1016/0304-3878(81)90004-3.

  72. Sadorsky, P. (2011). Financial development and energy consumption in central and eastern European frontier economies. Energy Policy, 39(2), 999–1006. https://doi.org/10.1016/j.enpol.2010.11.034.

  73. Sahoo, M., Saini, S., & Villanthenkodath, M. A. (2021). Determinants of material footprint in BRICS countries: An empirical analysis. Environmental Science and Pollution Research, 28(28), 37689–37704. https://doi.org/10.1007/s11356-021-13309-7.
    Paper not yet in RePEc: Add citation now
  74. Schandl, H., Hatfield‐Dodds, S., Wiedmann, T., Geschke, A., Cai, Y., West, J., Newth, D., Baynes, T., Lenzen, M., & Owen, A. (2016). Decoupling global environmental pressure and economic growth: Scenarios for energy use, materials use and carbon emissions. Journal of Cleaner Production, 132, 45–56. https://doi.org/10.1016/j.jclepro.2015.06.100.
    Paper not yet in RePEc: Add citation now
  75. Schandl, H., King, S., Walton, A., Kaksonen, A., Tapsuwan, S., & Baynes, T. (2020). National circular economy roadmap for plastics, glass, paper and tyres.
    Paper not yet in RePEc: Add citation now
  76. Schandl, H., Lu, Y., Che, N., Newth, D., West, J., Frank, S., Obersteiner, M., Rendall, A., & Hatfield‐Dodds, S. (2020). Shared socio‐economic pathways and their implications for global materials use. Resources, Conservation and Recycling, 160, 104866. https://doi.org/10.1016/j.resconrec.2020.104866.
    Paper not yet in RePEc: Add citation now

  77. Schmidt, P., & Sickles, R. C. (1984). Production Frontiers and panel data. Journal of Business and Economic Statistics, 2(4), 367–374. https://doi.org/10.1080/07350015.1984.10509410.

  78. Shahbazi, S., Salloum, M., Kurdve, M., & Wiktorsson, M. (2017). Material efficiency measurement: Empirical investigation of manufacturing industry. Procedia Manufacturing, 8, 112–120. https://doi.org/10.1016/J.PROMFG.2017.02.014.
    Paper not yet in RePEc: Add citation now
  79. Soonsawad, N., Martinez, R. M., & Schandl, H. (2022). Material demand, and environmental and climate implications of Australia's building stock: Current status and outlook to 2060. Resources, Conservation and Recycling, 180, 106143. https://doi.org/10.1016/j.resconrec.2021.106143.
    Paper not yet in RePEc: Add citation now
  80. Steger, S. & Bleischwitz, R. (2011). Drivers for the use of materials across countries, Journal of Cleaner Production, 9(8), 816–826. https://doi.org/10.1016/j.jclepro.2010.08.016.
    Paper not yet in RePEc: Add citation now

  81. Stern, D. I. (2012). Modeling international trends in energy efficiency. Energy Economics, 34(6), 2200–2208. https://doi.org/10.1016/j.eneco.2012.03.009.

  82. Sun, H., Edziah, B. K., Kporsu, A. K., Sarkodie, S. A., & Taghizadeh‐Hesary, F. (2021). Energy efficiency: The role of technological innovation and knowledge spillover. Technological Forecasting and Social Change, 167, 120659. https://doi.org/10.1016/j.techfore.2021.120659.
    Paper not yet in RePEc: Add citation now

  83. Sun, H., Edziah, B. K., Song, X., Kporsu, A. K., & Taghizadeh‐Hesary, F. (2020). Estimating persistent and transient energy efficiency in belt and road countries: A stochastic frontier analysis. Energies, 13(15), 3837. https://doi.org/10.3390/en13153837.

  84. The United States Geological Survey. (2022). Mineral Commodity Summaries 2022. https://doi.org/10.3133/mcs2022.
    Paper not yet in RePEc: Add citation now
  85. The World Bank. (2022). The World Bank Development Indicators Database. https://databank.worldbank.org/source/world-development-indicators.
    Paper not yet in RePEc: Add citation now

  86. Tsionas, E. G., & Kumbhakar, S. C. (2014). Firm heterogeneity, persistent and transient technical inefficiency: A generalized true random‐effects model. Journal of Applied Econometrics, 29(1), 110–132. https://doi.org/10.1002/jae.2300.

  87. UNEP. (2016). Global material flows and resource productivity: Assessment report for the UNEP international resource panel.
    Paper not yet in RePEc: Add citation now
  88. United Nations Environment Programme International Resource Panel. (2022). Global material flows database. https://www.resourcepanel.org/global-material-flows-database.
    Paper not yet in RePEc: Add citation now
  89. United Nations Environment Programme. (2022). The Closing Window: Climate Crisis Calls for Rapid Transformation of Societies. https://www.unep.org/emissions-gap-report-2022.
    Paper not yet in RePEc: Add citation now

  90. Weisz, H., Krausmann, F., Amann, C., Eisenmenger, N., Erb, K. H., Hubacek, K., & Fischer‐Kowalski, M. (2006). The physical economy of the European Union: Cross‐country comparison and determinants of material consumption. Ecological Economics, 58(4), 676–698. https://doi.org/10.1016/j.ecolecon.2005.08.016.

  91. West, J., & Schandl, H. (2013). Material use and material efficiency in latin america and the caribbean. Ecological Economics, 94, 19–27. https://doi.org/10.1016/j.ecolecon.2013.06.015.

  92. Xu, C., Dai, Q., Gaines, L., Hu, M., Tukker, A., & Steubing, B. (2020). Future material demand for automotive lithium‐based batteries. Communications Materials, 1, 99. https://doi.org/10.1038/s43246-020-00095-x.
    Paper not yet in RePEc: Add citation now

  93. Zagheni, E. (2011). The leverage of demographic dynamics on carbon dioxide emissions: Does age structure matter? Demography, 48(1), 371–399. https://doi.org/10.1007/s13524-010-0004-1.

  94. Zhang, C., Chen, W. Q., & Ruth, M. (2018). Measuring material efficiency: A review of the historical evolution of indicators, methodologies and findings. Resources, Conservation and Recycling, 132(September 2017), 79–92. https://doi.org/10.1016/j.resconrec.2018.01.028.
    Paper not yet in RePEc: Add citation now

  95. Zhou, P., & Ang, B. W. (2008). Linear programming models for measuring economy‐wide energy efficiency performance. Energy Policy, 36(8), 2911–2916. https://doi.org/10.1016/j.enpol.2008.03.041.

  96. Zhou, P., Ang, B. W., & Zhou, D. Q. (2012). Measuring economy‐wide energy efficiency performance: A parametric frontier approach. Applied Energy, 90(1), 196–200. https://doi.org/10.1016/J.APENERGY.2011.02.025.

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  37. How large is the economy-wide rebound effect?. (2020). Stern, David.
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  38. A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies. (2020). Safarzadeh, Soroush ; Hejazi, Seyed Reza ; Rasti-Barzoki, Morteza.
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  39. Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions. (2019). Stern, David ; Moneta, Alessio ; Bruns, Stephan B.
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  40. Economy-wide estimates of energy rebound effect: Evidence from Chinas provinces. (2019). Yan, Zheming ; Ouyang, Xiaoling ; Du, Kerui.
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  41. Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis. (2019). Lee, Jonathan ; Boyd, Gale A.
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  42. Does market-oriented reform increase energy rebound effect? Evidence from Chinas regional development. (2019). Du, Kerui ; Li, Jianglong ; Liu, Hongxun.
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  43. How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries. (2018). Wossink, Ada ; Banerjee, Prasenjit ; Tajudeen, Ibrahim A.
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  44. Assessing the Rebound Effect in Energy Intensive Industries: A Factor Demand Model Approach with Asymmetric Price Response. (2017). Lundgren, Tommy ; Marklund, Per-Olov ; Dahlqvist, Anna.
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  45. The environmental impacts of green technologies in TX. (2017). Spiller, Elisheba ; Zhang, Xinxing ; Sopher, Peter ; Martin, Nicholas ; Mirzatuny, Marita.
    In: Energy Economics.
    RePEc:eee:eneeco:v:68:y:2017:i:c:p:199-214.

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  46. The macroeconomic rebound effect in China. (2017). Lin Lawell, C.-Y. Cynthia ; Lin Lawell, C.-Y. Cynthia, ; Zhang, Jiangshan.
    In: Energy Economics.
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  47. Measuring Plant Level Energy Efficiency and Technical Change in the U.S. Metal-Based Durable Manufacturing Sector Using Stochastic Frontier Analysis. (2016). Lee, Jonathan ; Boyd, Gale.
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