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Gale Boyd

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Lee, Jonathan M. & Howard, Gregory, 2021. "The impact of technical efficiency, innovation, and climate policy on the economic viability of renewable electricity generation," Energy Economics, Elsevier, vol. 100(C).
    2. Xu, Bin & Lin, Boqiang, 2020. "Investigating drivers of CO2 emission in China’s heavy industry: A quantile regression analysis," Energy, Elsevier, vol. 206(C).
    3. Gale Boyd & Matt Doolin, 2020. "The Energy Efficiency Gap and Energy Price Responsiveness in Food Processing," Working Papers 20-18, Center for Economic Studies, U.S. Census Bureau.

  2. Gale Boyd & Jonathan M. Lee, 2016. "Measuring Plant Level Energy Efficiency and Technical Change in the U.S. Metal-Based Durable Manufacturing Sector Using Stochastic Frontier Analysis," Working Papers 16-52, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2022. "Do carbon taxes affect economic and environmental efficiency? The case of British Columbia’s manufacturing plants," MPRA Paper 118907, University Library of Munich, Germany.
    2. Yonghan Jeon & Jongoh Nam, 2023. "Estimating Energy Efficiency and Energy Saving Potential in the Republic of Korea’s Offshore Fisheries," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    3. Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
    4. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    5. Lutz, Benjamin Johannes & Massier, Philipp & Sommerfeld, Katrin & Löschel, Andreas, 2017. "Drivers of energy efficiency in German manufacturing: A firm-level stochastic frontier analysis," CAWM Discussion Papers 99, University of Münster, Münster Center for Economic Policy (MEP).
    6. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.
    7. Zhao, Nan & Liu, Xiaojie & Zhang, Zizhe, 2022. "Does competition from the informal sector affect firms’ energy intensity? Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 130-142.
    8. LU Guanyu & TANAKA Kenta & ARIMURA Toshi H., 2023. "The Impacts of the Tokyo and Saitama ETSs on the Energy Efficiency Performance of Manufacturing Facilities," Discussion papers 23007, Research Institute of Economy, Trade and Industry (RIETI).
    9. Oleg Badunenko & Subal C. Kumbhakar, 2020. "Energy Intensity and Long- and Short-Term Efficiency in US Manufacturing Industry," Energies, MDPI, vol. 13(15), pages 1-21, August.
    10. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    11. Diana L. Becerra-Peña & María Ximena Lemos Mejía, 2021. "La productividad del sector manufacturero: caso Colombia 2005-2016," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(4), pages 1-27, Octubre -.
    12. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    13. Díaz Antonia & Puch Luis A., 2019. "Investment, technological progress and energy efficiency," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-28, June.
    14. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim José dos Santos, 2021. "Does directed technological change favor energy? Firm-level evidence from Portugal," Energy Economics, Elsevier, vol. 98(C).
    15. Macharia, Kenneth Kigundu & Gathiaka, John Kamau & Ngui, Dianah, 2022. "Energy efficiency in the Kenyan manufacturing sector," Energy Policy, Elsevier, vol. 161(C).
    16. Wang, Yi & Wang, Huiping, 2023. "Spatial spillover effect of urban sprawl on total factor energy ecological efficiency: Evidence from 272 cities in China," Energy, Elsevier, vol. 273(C).
    17. von Graevenitz, Kathrine & Rottner, Elisa, 2022. "Do manufacturing plants respond to exogenous changes in electricity prices? Evidence from administrative micro-data," ZEW Discussion Papers 22-038, ZEW - Leibniz Centre for European Economic Research.
    18. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    19. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    20. Xin-gang, Zhao & Shu-ran, Hu, 2020. "Does market-based electricity price affect China's energy efficiency?," Energy Economics, Elsevier, vol. 91(C).
    21. Zhang, H. & Fan, L.W. & Zhou, P., 2020. "Handling heterogeneity in frontier modeling of city-level energy efficiency: The case of China," Applied Energy, Elsevier, vol. 279(C).

  3. Gale Boyd & Mark Curtis, 2013. "Evidence Of An “Energy-Management Gap” In U.S. Manufacturing: Spillovers From Firm Management Practices To Energy Efficiency," Working Papers 13-25, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Mette Talseth Solnørdal & Lene Foss, 2018. "Closing the Energy Efficiency Gap—A Systematic Review of Empirical Articles on Drivers to Energy Efficiency in Manufacturing Firms," Energies, MDPI, vol. 11(3), pages 1-30, February.
    2. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    3. Le Thanh Tiep & Ngo Quang Huan & Tran Thi Thuy Hong, 2021. "Energy Efficiency: Determinants and Roles on Sustainable Development in Emerging Country," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 7-22.
    4. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," CAWM Discussion Papers 107, University of Münster, Münster Center for Economic Policy (MEP).
    5. Karplus, Valerie J. & Geissmann, Thomas & Zhang, Da, 2021. "Institutional complexity, management practices, and firm productivity," World Development, Elsevier, vol. 142(C).
    6. Vona, Francesco & Marin, Giovanni & Consoli, Davide & Popp, David, 2015. "Green Skills," Climate Change and Sustainable Development 207360, Fondazione Eni Enrico Mattei (FEEM).
    7. Mette Talseth Solnørdal & Elin Anita Nilsen, 2020. "From Program to Practice: Translating Energy Management in a Manufacturing Firm," Sustainability, MDPI, vol. 12(23), pages 1-24, December.
    8. Grover,Arti Goswami & Karplus,Valerie Jean, 2020. "The Energy-Management Nexus in Firms : Which Practices Matter, How Much and for Whom ?," Policy Research Working Paper Series 9397, The World Bank.
    9. Löschel, Andreas & Lutz, Benjamin Johannes & Massier, Philipp, 2017. "Credit constraints, energy management practices, and investments in energy saving technologies: German manufacturing in close-up," ZEW Discussion Papers 17-072, ZEW - Leibniz Centre for European Economic Research.
    10. Jan Stede, 2019. "Do Energy Efficiency Networks Save Energy? Evidence from German Plant-Level Data," Discussion Papers of DIW Berlin 1813, DIW Berlin, German Institute for Economic Research.
    11. May, Gökan & Stahl, Bojan & Taisch, Marco, 2016. "Energy management in manufacturing: Toward eco-factories of the future – A focus group study," Applied Energy, Elsevier, vol. 164(C), pages 628-638.
    12. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.
    13. Francesco Vona & Giovanni Marin & Davide Consoli & David Popp, 2018. "Environmental regulation and green skills : an empirical exploration," Sciences Po publications info:hdl:2441/1fkb59dcsg9, Sciences Po.
    14. Curtis, E. Mark & Lee, Jonathan M., 2019. "When do environmental regulations backfire? Onsite industrial electricity generation, energy efficiency and policy instruments," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 174-194.
    15. Amore, Mario Daniele & Bennedsen, Morten & Larsen, Birthe & Rosenbaum, Philip, 2019. "CEO education and corporate environmental footprint," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 254-273.
    16. Fraas, Arthur & Lutter, Randall & Porter, Zachary & Wallace, Alexander, 2016. "The Energy Paradox and the Adoption of Energy-Saving Technologies in the Trucking Industry," Working Papers 06870, George Mason University, Mercatus Center.
    17. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    18. Morni Hayati Jaafar Sidik & Winwin Yadiati & Hoyoung Lee & Nadeem Khalid, 2019. "The Dynamic association of Energy, Environmental Management Accounting and Green Intellectual Capital with Corporate Environmental Performance and Competitive," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 379-386.
    19. Schweiger, Helena & Stepanov, Alexander, 2022. "When good managers face bad incentives: Management quality and fuel intensity in the presence of price distortions," Energy Policy, Elsevier, vol. 164(C).
    20. Zhou, Qianling & Cui, Xiaoyong & Ni, Hongfu & Gong, Liutang, 2022. "The impact of environmental regulation policy on firms' energy-saving behavior: A quasi-natural experiment based on China's low-carbon pilot city policy," Resources Policy, Elsevier, vol. 76(C).
    21. Solnørdal, Mette Talseth & Thyholdt, Sverre Braathen, 2019. "Absorptive capacity and energy efficiency in manufacturing firms – An empirical analysis in Norway," Energy Policy, Elsevier, vol. 132(C), pages 978-990.
    22. Gale Boyd & Matt Doolin, 2020. "The Energy Efficiency Gap and Energy Price Responsiveness in Food Processing," Working Papers 20-18, Center for Economic Studies, U.S. Census Bureau.
    23. Fraas, Arthur G. & Lutter, Randall W. & Wietelman, Derek C., 2019. "The energy paradox in seemingly competitive industries: The use of energy-efficient equipment on heavy-duty tractor trailers," Energy Policy, Elsevier, vol. 129(C), pages 467-480.
    24. Amir Abolhassani & Gale Boyd & Majid Jaridi & Bhaskaran Gopalakrishnan & James Harner, 2023. "“Is Energy That Different from Labor?” Similarity in Determinants of Intensity for Auto Assembly Plants," Energies, MDPI, vol. 16(4), pages 1-35, February.

  4. Gale Boyd, 2007. "Estimating the Distribution of Plant-Level Manufacturing Energy Efficiency with Stochastic Frontier Regression," Working Papers 07-07, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.

Articles

  1. Dalzell, Nicole M. & Boyd, Gale A. & Reiter, Jerome P., 2017. "Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program," Energy Policy, Elsevier, vol. 111(C), pages 95-101.

    Cited by:

    1. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).

  2. Boyd, Gale A., 2014. "Estimating the changes in the distribution of energy efficiency in the U.S. automobile assembly industry," Energy Economics, Elsevier, vol. 42(C), pages 81-87.

    Cited by:

    1. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    2. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    3. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    4. Ohler, Adrienne M. & Loomis, David G. & Ilves, Kadi, 2020. "A study of electricity savings from energy star appliances using household survey data," Energy Policy, Elsevier, vol. 144(C).
    5. Perroni, Marcos G. & Gouvea da Costa, Sergio E. & Pinheiro de Lima, Edson & Vieira da Silva, Wesley, 2017. "The relationship between enterprise efficiency in resource use and energy efficiency practices adoption," International Journal of Production Economics, Elsevier, vol. 190(C), pages 108-119.
    6. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    7. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.
    8. Giampieri, A. & Ling-Chin, J. & Ma, Z. & Smallbone, A. & Roskilly, A.P., 2020. "A review of the current automotive manufacturing practice from an energy perspective," Applied Energy, Elsevier, vol. 261(C).
    9. Boyd, Gale A. & Curtis, E. Mark, 2014. "Evidence of an “Energy-Management Gap” in U.S. manufacturing: Spillovers from firm management practices to energy efficiency," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 463-479.
    10. Andrei, Mariana & Thollander, Patrik & Sannö, Anna, 2022. "Knowledge demands for energy management in manufacturing industry - A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    11. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.

  3. Boyd, Gale A. & Curtis, E. Mark, 2014. "Evidence of an “Energy-Management Gap” in U.S. manufacturing: Spillovers from firm management practices to energy efficiency," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 463-479.
    See citations under working paper version above.
  4. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.

    Cited by:

    1. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    2. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    3. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    4. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    5. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    6. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    7. Li, Ming-Jia & He, Ya-Ling & Tao, Wen-Quan, 2017. "Modeling a hybrid methodology for evaluating and forecasting regional energy efficiency in China," Applied Energy, Elsevier, vol. 185(P2), pages 1769-1777.
    8. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    9. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Marin, Giovanni & Palma, Alessandro, 2016. "Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach," Energy: Resources and Markets 230687, Fondazione Eni Enrico Mattei (FEEM).
    11. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    12. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.
    13. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    14. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    16. Xie, Chunping & Bai, Mengqi & Wang, Xiaolei, 2018. "Accessing provincial energy efficiencies in China’s transport sector," Energy Policy, Elsevier, vol. 123(C), pages 525-532.
    17. Yue Liu & Siming Liu & Xueying Xu & Pierre Failler, 2020. "Does Energy Price Induce China’s Green Energy Innovation?," Energies, MDPI, vol. 13(15), pages 1-18, August.
    18. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    19. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    20. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    21. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    22. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    23. Peng Hou & Yilin Li & Yong Tan & Yuanjie Hou, 2020. "Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation," Energies, MDPI, vol. 13(16), pages 1-24, August.
    24. Massimo Filippini & Lester C Hunt, 2010. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 130, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    25. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    26. Xin Long Xu & Sen Qiao & Hsing Hung Chen, 2020. "Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries," Energy & Environment, , vol. 31(3), pages 389-404, May.
    27. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    28. Lutz, Benjamin Johannes & Massier, Philipp & Sommerfeld, Katrin & Löschel, Andreas, 2017. "Drivers of energy efficiency in German manufacturing: A firm-level stochastic frontier analysis," CAWM Discussion Papers 99, University of Münster, Münster Center for Economic Policy (MEP).
    29. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
    30. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    31. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    32. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    33. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    34. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    35. Gale A. Boyd & Jonathan M. Lee, 2018. "Relative Effectiveness of Energy Efficiency Programs versus Market Based Climate Policies in the Chemical Industry," Working Papers 18-16, Center for Economic Studies, U.S. Census Bureau.
    36. Boyd, Gale A. & Curtis, E. Mark, 2014. "Evidence of an “Energy-Management Gap” in U.S. manufacturing: Spillovers from firm management practices to energy efficiency," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 463-479.
    37. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    38. Oleg Badunenko & Subal C. Kumbhakar, 2020. "Energy Intensity and Long- and Short-Term Efficiency in US Manufacturing Industry," Energies, MDPI, vol. 13(15), pages 1-21, August.
    39. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    40. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    41. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    42. Massimo Filippini & Lester C. Hunt, 2013. "'Underlying Energy Efficiency' in the US," CER-ETH Economics working paper series 13/181, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    43. Massimo Filippini & Lester Hunt, 2009. "Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach," CEPE Working paper series 09-68, CEPE Center for Energy Policy and Economics, ETH Zurich.
    44. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    45. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    46. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    47. Victor von Loessl & Heike Wetzel, 2019. "Revenue decoupling and energy consumption: Empirical evidence from the U.S. electric utilities sector," MAGKS Papers on Economics 201918, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    48. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    49. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    50. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    51. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    52. Zhang, Qizheng & Qian, Zesen & Wang, Shuo & Yuan, Lingran & Gong, Binlei, 2022. "Productivity drain or productivity gain? The effect of new technology adoption in the oilfield market," Energy Economics, Elsevier, vol. 108(C).
    53. Wu, Ya & Su, JingRong & Li, Ke & Sun, Chuanwang, 2019. "Comparative study on power efficiency of China's provincial steel industry and its influencing factors," Energy, Elsevier, vol. 175(C), pages 1009-1020.
    54. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    55. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    56. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    57. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
    58. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.
    59. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    60. Boyd, Gale A., 2014. "Estimating the changes in the distribution of energy efficiency in the U.S. automobile assembly industry," Energy Economics, Elsevier, vol. 42(C), pages 81-87.
    61. Gale Boyd & Matt Doolin, 2020. "The Energy Efficiency Gap and Energy Price Responsiveness in Food Processing," Working Papers 20-18, Center for Economic Studies, U.S. Census Bureau.
    62. Macharia, Kenneth Kigundu & Gathiaka, John Kamau & Ngui, Dianah, 2022. "Energy efficiency in the Kenyan manufacturing sector," Energy Policy, Elsevier, vol. 161(C).
    63. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    64. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    65. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    66. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    67. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    68. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    69. Chen, Yu & Lin, Boqiang, 2021. "How does infrastructure affect energy services?," Energy, Elsevier, vol. 231(C).
    70. Lester C. Hunt & Paraskevas Kipouros, 2023. "Energy Demand and Energy Efficiency in Developing Countries," Energies, MDPI, vol. 16(3), pages 1-26, January.
    71. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    72. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
    73. Amjadi, Golnaz, 2020. "Essays on Energy Efficiency, Environmental Regulation and Labor Demand in Swedish Industry," Umeå Economic Studies 982, Umeå University, Department of Economics.
    74. Hu, Baiding, 2014. "Measuring plant level energy efficiency in China's energy sector in the presence of allocative inefficiency," China Economic Review, Elsevier, vol. 31(C), pages 130-144.

  5. Greening, Lorna A. & Boyd, Gale & Roop, Joseph M., 2007. "Modeling of industrial energy consumption: An introduction and context," Energy Economics, Elsevier, vol. 29(4), pages 599-608, July.

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    1. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    2. Fakhri J. Hasanov & Jeyhun I. Mikayilov, 2020. "Revisiting Energy Demand Relationship: Theory and Empirical Application," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    3. Hasanuzzaman, M. & Rahim, N.A. & Hosenuzzaman, M. & Saidur, R. & Mahbubul, I.M. & Rashid, M.M., 2012. "Energy savings in the combustion based process heating in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4527-4536.
    4. Lucio, Nilson Rogerio & Lamas, Wendell de Queiroz & de Camargo, Jose Rubens, 2013. "Strategic energy management in the primary aluminium industry: Self-generation as a competitive factor," Energy Policy, Elsevier, vol. 59(C), pages 182-188.
    5. Alarenan, Shahad & Gasim, Anwar A. & Hunt, Lester C., 2020. "Modelling industrial energy demand in Saudi Arabia," Energy Economics, Elsevier, vol. 85(C).
    6. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    7. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    8. Sharimakin, Akinsehinwa, 2021. "Modelling asymmetric price responses of industrial energy demand with a dynamic hierarchical model," Energy Economics, Elsevier, vol. 98(C).
    9. Bardazzi, Rossella & Oropallo, Filippo & Pazienza, Maria Grazia, 2015. "Do manufacturing firms react to energy prices? Evidence from Italy," Energy Economics, Elsevier, vol. 49(C), pages 168-181.
    10. Barros, Carlos P. & Gil-Alana, Luis A. & Wanke, Peter, 2016. "Energy production in Brazil: Empirical facts based on persistence, seasonality and breaks," Energy Economics, Elsevier, vol. 54(C), pages 88-95.
    11. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
    12. Lin, Boqiang & Wang, Ailun, 2015. "Estimating energy conservation potential in China's commercial sector," Energy, Elsevier, vol. 82(C), pages 147-156.
    13. Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    14. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    15. Agnolucci, Paolo & De Lipsis, Vincenzo & Arvanitopoulos, Theodoros, 2017. "Modelling UK sub-sector industrial energy demand," Energy Economics, Elsevier, vol. 67(C), pages 366-374.
    16. McMillan, Colin A. & Ruth, Mark, 2019. "Using facility-level emissions data to estimate the technical potential of alternative thermal sources to meet industrial heat demand," Applied Energy, Elsevier, vol. 239(C), pages 1077-1090.
    17. Mazzanti, Massimiliano & Montini, Anna, 2010. "Embedding the drivers of emission efficiency at regional level -- Analyses of NAMEA data," Ecological Economics, Elsevier, vol. 69(12), pages 2457-2467, October.
    18. Rootzén, Johan & Johnsson, Filip, 2015. "CO2 emissions abatement in the Nordic carbon-intensive industry – An end-game in sight?," Energy, Elsevier, vol. 80(C), pages 715-730.
    19. Gander, James P., 2012. "A simple dynamic energy capacity model," Energy Economics, Elsevier, vol. 34(1), pages 78-81.
    20. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    21. Sharimakin, Akinsehinwa & Glass, Anthony J. & Saal, David S. & Glass, Karligash, 2018. "Dynamic multilevel modelling of industrial energy demand in Europe," Energy Economics, Elsevier, vol. 74(C), pages 120-130.
    22. Roula Inglesi-Lotz, 2012. "The sensitivity of the South African industrial sector’s electricity consumption to electricity price fluctuations," Working Papers 201225, University of Pretoria, Department of Economics.
    23. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    24. Shafiee, Shahriar & Topal, Erkan, 2008. "An econometrics view of worldwide fossil fuel consumption and the role of US," Energy Policy, Elsevier, vol. 36(2), pages 775-786, February.
    25. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2010. "Monitoring energy efficiency trends in European industry: Which top-down method should be used?," Energy Policy, Elsevier, vol. 38(11), pages 6910-6918, November.
    26. Svensson, Elin & Berntsson, Thore, 2011. "Planning future investments in emerging energy technologies for pulp mills considering different scenarios for their investment cost development," Energy, Elsevier, vol. 36(11), pages 6508-6519.

  6. Gale A. Boyd and Joseph M. Roop, 2004. "A Note on the Fisher Ideal Index Decomposition for Structural Change in Energy Intensity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 87-102.

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    1. Jena, Pradyot, 2009. "A study of changing patterns of energy consumption and energy efficiency in the Indian manufacturing sector," MPRA Paper 31195, University Library of Munich, Germany.
    2. Lescaroux, François, 2008. "Decomposition of US manufacturing energy intensity and elasticities of components with respect to energy prices," Energy Economics, Elsevier, vol. 30(3), pages 1068-1080, May.
    3. Peter Mulder & Henri L.F. de Groot & Birte Pfeiffer, 2013. "Dynamics and Determinants of Energy Intensity in the Service Sector: A Cross-Country Analysis, 1980–2005," Tinbergen Institute Discussion Papers 13-175/VIII, Tinbergen Institute.
    4. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    5. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    6. Atalla, Tarek & Bean, Patrick, 2017. "Determinants of energy productivity in 39 countries: An empirical investigation," Energy Economics, Elsevier, vol. 62(C), pages 217-229.
    7. González, Domingo & Martínez, Manuel, 2012. "Changes in CO2 emission intensities in the Mexican industry," Energy Policy, Elsevier, vol. 51(C), pages 149-163.
    8. Jimenez Mori, Raul Alberto & Mercado Díaz, Jorge Enrique, 2013. "Energy Intensity: A Decomposition and Counterfactual Exercise for Latin American Countries," IDB Publications (Working Papers) 4594, Inter-American Development Bank.
    9. Ajayi, V. & Reiner, D., 2018. "European Industrial Energy Intensity: The Role of Innovation 1995-2009," Cambridge Working Papers in Economics 1835, Faculty of Economics, University of Cambridge.
    10. Gilbert E. Metcalf, 2006. "Energy Conservation in the United States: Understanding its Role in Climate Policy," Discussion Papers Series, Department of Economics, Tufts University 0609, Department of Economics, Tufts University.
    11. Löschel, Andreas & Rexhäuser, Sascha & Schymura, Michael, 2013. "Trade and the environment: An application of the WIOD database," ZEW Discussion Papers 13-005, ZEW - Leibniz Centre for European Economic Research.
    12. Tony Irawan & Djoni Hartono & Noer Azam Achsani, 2010. "An Analysis of Energy Intensity in Indonesian Manufacturing," Working Papers in Economics and Development Studies (WoPEDS) 201007, Department of Economics, Padjadjaran University, revised Aug 2010.
    13. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    14. Marcel Kohler, 2008. "The impact of international trade on changing patterns of energy use in South African industry," Working Papers 088, Economic Research Southern Africa.
    15. Amira Ben Hammamia & Ahlem Dakhlaoui & Abdessalem Abbassi, 2014. "Analysis of the Decomposition of Energy Intensity in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 420-426.
    16. Saeed Moshiri and Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    17. Leal, Patrícia Hipólito & Marques, António Cardoso, 2020. "Rediscovering the EKC hypothesis for the 20 highest CO2 emitters among OECD countries by level of globalization," International Economics, Elsevier, vol. 164(C), pages 36-47.
    18. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    19. Amador, João, 2012. "Energy content in manufacturing exports: A cross-country analysis," Energy Economics, Elsevier, vol. 34(4), pages 1074-1081.
    20. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    21. Massimo Filippini & Lester C Hunt, 2010. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 130, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    22. Fang, Guochang & Tian, Lixin & Yang, Zili, 2020. "The construction of a comprehensive multidimensional energy index," Energy Economics, Elsevier, vol. 90(C).
    23. Choi, Ki-Hong & Oh, Wankeun, 2014. "Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry," Energy Policy, Elsevier, vol. 65(C), pages 275-283.
    24. Fankhauser, Samuel & Bowen, Alex & Calel, Raphael & Dechezlepretre, Antoine & Grover, David & Rydge, James & Sato, Misato, 2013. "Who will win the green race? In search of environmental competitiveness and innovation," LSE Research Online Documents on Economics 50962, London School of Economics and Political Science, LSE Library.
    25. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Analysis of energy intensity in Japan," Energy Policy, Elsevier, vol. 61(C), pages 574-586.
    26. Wu, Kaiyao & Shi, Jiyuan & Yang, Tinggan, 2017. "Has energy efficiency performance improved in China?—non-energy sectors evidence from sequenced hybrid energy use tables," Energy Economics, Elsevier, vol. 67(C), pages 169-181.
    27. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    28. Huntington, Hillard G., 2007. "Industrial natural gas consumption in the United States: An empirical model for evaluating future trends," Energy Economics, Elsevier, vol. 29(4), pages 743-759, July.
    29. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    30. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    31. Akbar Ullah & Karim Khan & Munazza Akhtar, 2014. "Energy Intensity: A Decomposition Exercise for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(4), pages 531-549.
    32. Liu, Hong & Wang, Chang & Tian, Meiyu & Wen, Fenghua, 2019. "Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015," Energy, Elsevier, vol. 171(C), pages 1139-1149.
    33. Gilbert E. Metcalf and Catherine Wolfram, 2015. "Cursed Resources? Political Conditions and Oil Market Outcomes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    34. Shahbaz, Muhammad & Gozgor, Giray & Hammoudeh, Shawkat, 2019. "Human capital and export diversification as new determinants of energy demand in the United States," Energy Economics, Elsevier, vol. 78(C), pages 335-349.
    35. Tekla Sebestyén Szép, 2013. "Eight Methods for Decomposing the Aggregate Energy Intensity of the Economic Structure," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 9(01), pages 77-84.
    36. Pothen, Frank & Schymura, Michael, 2015. "Bigger cakes with fewer ingredients? A comparison of material use of the world economy," Ecological Economics, Elsevier, vol. 109(C), pages 109-121.
    37. Tajudeen, Ibrahim A., 2021. "The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses," Energy Economics, Elsevier, vol. 98(C).
    38. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    39. Fernández, Esteban & Fernández, Paula, 2008. "An extension to Sun's decomposition methodology: The Path Based approach," Energy Economics, Elsevier, vol. 30(3), pages 1020-1036, May.
    40. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Leibniz Centre for European Economic Research.
    41. Sue Wing, Ian & Eckaus, Richard S., 2007. "The implications of the historical decline in US energy intensity for long-run CO2 emission projections," Energy Policy, Elsevier, vol. 35(11), pages 5267-5286, November.
    42. Tajudeen, Ibrahim A. & Wossink, Ada & Banerjee, Prasenjit, 2018. "How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries," Energy Economics, Elsevier, vol. 72(C), pages 200-221.
    43. Luigi Grossi & Mauro Mussini, 2017. "Inequality in Energy Intensity in the EU-28: Evidence from a New Decomposition Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    44. Leal, Patrícia Alexandra & Marques, António Cardoso & Fuinhas, José Alberto, 2019. "Decoupling economic growth from GHG emissions: Decomposition analysis by sectoral factors for Australia," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 12-26.
    45. Henri de Groot & Peter Mulder, 2011. "Dutch Sectoral Energy Intensity Developments in International Perspective, 1987–2005," CPB Discussion Paper 190, CPB Netherlands Bureau for Economic Policy Analysis.
    46. Massimo Filippini & Lester C. Hunt, 2013. "'Underlying Energy Efficiency' in the US," CER-ETH Economics working paper series 13/181, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    47. Victor von Loessl & Heike Wetzel, 2019. "Revenue decoupling and energy consumption: Empirical evidence from the U.S. electric utilities sector," MAGKS Papers on Economics 201918, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    48. Pothen, Frank & Schymura, Michael, 2014. "Bigger cakes with less ingredients? A comparison of material use of the world economy," ZEW Discussion Papers 14-030, ZEW - Leibniz Centre for European Economic Research.
    49. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    50. Gorus, Muhammed Sehid & Karagol, Erdal Tanas, 2022. "Reactions of energy intensity, energy efficiency, and activity indexes to income and energy price changes: The panel data evidence from OECD countries," Energy, Elsevier, vol. 254(PA).
    51. Parker, Steven & Liddle, Brantley, 2016. "Energy efficiency in the manufacturing sector of the OECD: Analysis of price elasticities," Energy Economics, Elsevier, vol. 58(C), pages 38-45.
    52. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.
    53. Vaclovas Miskinis & Arvydas Galinis & Viktorija Bobinaite & Inga Konstantinaviciute & Eimantas Neniskis, 2023. "Impact of Key Drivers on Energy Intensity and GHG Emissions in Manufacturing in the Baltic States," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    54. de Boer, Paul, 2009. "Generalized Fisher index or Siegel-Shapley decomposition?," Energy Economics, Elsevier, vol. 31(5), pages 810-814, September.
    55. Mirza, Faisal Mehmood & Sinha, Avik & Khan, Javeria Rehman & Kalugina, Olga A. & Zafar, Muhammad Wasif, 2022. "Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries," MPRA Paper 111923, University Library of Munich, Germany, revised 2022.
    56. Zhang, Fan, 2013. "The energy transition of the transition economies: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 679-686.
    57. Deichmann, Uwe & Reuter, Anna & Vollmer, Sebastian & Zhang, Fan, 2019. "The relationship between energy intensity and economic growth: New evidence from a multi-country multi-sectorial dataset," World Development, Elsevier, vol. 124(C), pages 1-1.
    58. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    59. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    60. Baksi, Soham & Green, Chris, 2007. "Calculating economy-wide energy intensity decline rate: The role of sectoral output and energy shares," Energy Policy, Elsevier, vol. 35(12), pages 6457-6466, December.
    61. Peter Mulder, 2015. "International Specialization, Structural Change and the Evolution of Manufacturing Energy Intensity in OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    62. James G. Baldwin & Ian Sue Wing, 2013. "The Spatiotemporal Evolution Of U.S. Carbon Dioxide Emissions: Stylized Facts And Implications For Climate Policy," Journal of Regional Science, Wiley Blackwell, vol. 53(4), pages 672-689, October.
    63. Ditya Nurdianto & Budy Resosudarmo, 2011. "Prospects and challenges for an ASEAN energy integration policy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(2), pages 103-127, June.
    64. Duygu CEYLAN & E. NUR OZKAN GUNAY, 2010. "Energy Efficiency Trends and Policies: Cross-Country Comparison in Europe," EcoMod2010 259600038, EcoMod.
    65. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    66. Hojjati, Behjat & Wade, Steven H., 2012. "U.S. household energy consumption and intensity trends: A decomposition approach," Energy Policy, Elsevier, vol. 48(C), pages 304-314.
    67. Bor, Yunchang Jeffrey, 2008. "Consistent multi-level energy efficiency indicators and their policy implications," Energy Economics, Elsevier, vol. 30(5), pages 2401-2419, September.

  7. Gale Boyd & George Tolley & Joseph Pang, 2002. "Plant Level Productivity, Efficiency, and Environmental Performance of the Container Glass Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 29-43, September.

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    1. Arnaud Reynaud, 2012. "Assessing the impact of formal and informal regulations on environmental and economic performance of Brazilian manufacturing firms," Working Papers 27, Development and Policies Research Center (DEPOCEN), Vietnam.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Montalbano, P. & Nenci, S., 2019. "Energy efficiency, productivity and exporting: Firm-level evidence in Latin America," Energy Economics, Elsevier, vol. 79(C), pages 97-110.
    4. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    5. Shiyi Chen & Amelia U. Santos-Paulino, 2010. "Energy Consumption and Carbon Emission-Based Productivity Change and Industrialization in Post-Reform China," WIDER Working Paper Series wp-2010-078, World Institute for Development Economic Research (UNU-WIDER).
    6. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
    7. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    8. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    9. Rayenda Khresna Brahmana & Maria Kontesa, 2021. "Does clean technology weaken the environmental impact on the financial performance? Insight from global oil and gas companies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3411-3423, November.
    10. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    11. Chen, Shiyi, 2015. "Environmental pollution emissions, regional productivity growth and ecological economic development in China," China Economic Review, Elsevier, vol. 35(C), pages 171-182.
    12. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    13. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
    14. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
    15. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    16. Wenyin Cheng & Zhusong Yang & Xia Pan & Tomas Baležentis & Xueli Chen, 2020. "Evolution of Carbon Shadow Prices in China’s Industrial Sector during 2003–2017: A By-Production Approach," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    17. Zhengge Tu & Renjun Shen, 2014. "Can China’s Industrial SO 2 Emissions Trading Pilot Scheme Reduce Pollution Abatement Costs?," Sustainability, MDPI, vol. 6(11), pages 1-25, October.
    18. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    19. Liu, Haiying & Owens, Katharine A. & Yang, Ke & Zhang, Chunhong, 2020. "Pollution abatement costs and technical changes under different environmental regulations," China Economic Review, Elsevier, vol. 62(C).
    20. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    21. Aldea, Anamaria & Ciobanu, Anamaria & Stancu, Ion, 2012. "The Renewable Energy Development: A Nonparametric Efficiency Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, March.
    22. FERES José & REYNAUD Arnaud, 2006. "Does Formal or Informal Environmental Regulation have an Impact on Costs? An Empirical Analysis of the Brazilian," LERNA Working Papers 06.16.209, LERNA, University of Toulouse.
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    46. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    47. Shiyi Chen, 2009. "Engine or drag: Can high energy consumption and CO 2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 548-571, December.
    48. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
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    50. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    51. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    52. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson, 2018. "Increasing agricultural productivity while reducing greenhouse gas emissions in sub†Saharan Africa: myth or reality?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 183-192, March.
    53. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    54. Xiaoliang Guan & Junbiao Zhang & Xianrong Wu & Linlin Cheng, 2018. "The Shadow Prices of Carbon Emissions in China’s Planting Industry," Sustainability, MDPI, vol. 10(3), pages 1-12, March.
    55. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    56. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
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  8. Sanstad, Alan H. & DeCanio, Stephen J. & Boyd, Gale A. & Koomey, Jonathan G., 2001. "Estimating bounds on the economy-wide effects of the CEF policy scenarios," Energy Policy, Elsevier, vol. 29(14), pages 1299-1311, November.

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    1. Brown, Marilyn A. & Levine, Mark D. & Short, Walter & Koomey, Jonathan G., 2001. "Scenarios for a clean energy future," Energy Policy, Elsevier, vol. 29(14), pages 1179-1196, November.
    2. Morgenstern, Richard & Shih, Jhih-Shyang & Ho, Mun & Zhang, Xuehua, 2002. "The Near-Term Impacts of Carbon Mitigation Policies on Manufacturing Industries," RFF Working Paper Series dp-02-06-, Resources for the Future.
    3. Florentin Krause & Stephen J. DeCanio & J. Andrew Hoerner & Paul Baer, 2002. "Cutting Carbon Emissions At A Profit (Part I): Opportunities For The United States," Contemporary Economic Policy, Western Economic Association International, vol. 20(4), pages 339-365, October.
    4. Stephen DeCanio, 2003. "Economic Analysis, Environmental Policy, and Intergenerational Justice in the Reagan Administration The Case of the Montreal Protocol," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 3(4), pages 299-321, December.
    5. Wilkerson, Jordan T. & Cullenward, Danny & Davidian, Danielle & Weyant, John P., 2013. "End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors," Energy Economics, Elsevier, vol. 40(C), pages 773-784.
    6. Gumerman, Etan & Koomey, Jonathan G. & Brown, Marilyn A., 2001. "Strategies for cost-effective carbon reductions: a sensitivity analysis of alternative scenarios," Energy Policy, Elsevier, vol. 29(14), pages 1313-1323, November.
    7. Rivers, Nic & Jaccard, Mark, 2006. "Useful models for simulating policies to induce technological change," Energy Policy, Elsevier, vol. 34(15), pages 2038-2047, October.
    8. Hadley, S. W. & Short, W., 2001. "Electricity sector analysis in the clean energy futures study," Energy Policy, Elsevier, vol. 29(14), pages 1285-1298, November.
    9. Murphy, Rose & Jaccard, Mark, 2011. "Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models for the US," Energy Policy, Elsevier, vol. 39(11), pages 7146-7155.

  9. Boyd, Gale A. & Pang, Joseph X., 2000. "Estimating the linkage between energy efficiency and productivity," Energy Policy, Elsevier, vol. 28(5), pages 289-296, May.

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    1. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    2. Xie, Wei & Sheng, Pengfei & Guo, Xiaohui, 2015. "Coal, oil, or clean energy: Which contributes most to the low energy efficiency in China?," Utilities Policy, Elsevier, vol. 35(C), pages 67-71.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    5. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    6. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    7. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    8. Montalbano, P. & Nenci, S., 2019. "Energy efficiency, productivity and exporting: Firm-level evidence in Latin America," Energy Economics, Elsevier, vol. 79(C), pages 97-110.
    9. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.
    10. Yang, Zhihao & Hong, Junjie, 2021. "Trade policy uncertainty and energy intensity: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 103(C).
    11. Clara Inés Pardo Martínez, 2008. "Energy efficiency development in the German and Colombian Energy Intensive Sectors: A non-parametric analysis," Serie de Documentos en Economía y Violencia 6317, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    12. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    13. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    14. Eva Lyubich & Joseph Shapiro & Reed Walker, 2018. "Regulating Mismeasured Pollution: Implications of Firm Heterogeneity for Environmental Policy," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 136-142, May.
    15. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    16. Tanaka, Kenta & Managi, Shunsuke, 2021. "Industrial agglomeration effect for energy efficiency in Japanese production plants," Energy Policy, Elsevier, vol. 156(C).
    17. Ching-Cheng Lu & Yung-ho Chiu & I-Fang Lin & Tai-Yu Lin, 2023. "Dynamic total factors’ environmental efficiency in European union countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10055-10072, September.
    18. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    19. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    20. Can Tansel TUGCU, 2013. "Disaggregate Energy Consumption and Total Factor Productivity: A Cointegration and Causality Analysis for the Turkish Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 307-314.
    21. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    22. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    23. Turčeková, Natália & Svetlanská, T. & Kollár, B. & Záhorský, T., 2015. "Agri-Environmental Performance of EU Member states," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-10, December.
    24. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2001. "Technological Change and the Environment," Discussion Papers 10566, Resources for the Future.
    25. Eirini Stergiou & Nikos Rigas & Eftychia Zaroutieri & Konstantinos Kounetas, 2023. "Energy, renewable and technical efficiency convergence: a global evidence," Economic Change and Restructuring, Springer, vol. 56(3), pages 1601-1628, June.
    26. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    27. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    28. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    29. Wu, Hua-qing & Shi, Yan & Xia, Qiong & Zhu, Wei-dong, 2014. "Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 163-175.
    30. Adam B. Jaffe & Richard G. Newell & Robert N. Stavins, 2004. "Technology Policy for Energy and the Environment," NBER Chapters, in: Innovation Policy and the Economy, Volume 4, pages 35-68, National Bureau of Economic Research, Inc.
    31. Pierluigi Toma, 2020. "Size and productivity: a conditional approach for Italian pharmaceutical sector," Journal of Productivity Analysis, Springer, vol. 54(1), pages 1-12, August.
    32. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    33. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    34. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    35. Fan, Qiufang & Liu, Jintao & Zhang, Tao & Liu, Haomin, 2022. "An Evaluation of the Efficiency of China’s green investment in the “Belt and Road” countries," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 496-511.
    36. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    37. Hu, Jin-Li & Kao, Chih-Hung, 2007. "Efficient energy-saving targets for APEC economies," Energy Policy, Elsevier, vol. 35(1), pages 373-382, January.
    38. Nela Vlahinic-Dizdarevic & Alemka Segota, 2012. "Total-factor energy efficiency in the EU countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(2), pages 247-265.
    39. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    40. Bhat, Javed Ahmad & Haider, Salman & Kamaiah, Bandi, 2018. "Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach," Energy, Elsevier, vol. 161(C), pages 284-298.
    41. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    42. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    43. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    44. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    45. Opeyemi Akinyemi & Philip O. Alege & Oluseyi O. Ajayi & Lloyd Amaghionyeodiwe & Adeyemi A. Ogundipe, 2015. "Fuel Subsidy Reform and Environmental Quality in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 540-549.
    46. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    47. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
    48. Accordini, D. & Cagno, E. & Trianni, A., 2021. "Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    49. Rita Helbra Tenrini & Sofia Arie Damayanty & Dhani Setyawan & Hadi Setiawan & Rakhmindyarto Rakhmindyarto, 2021. "Promoting Economic Growth and Environmental Sustainability through Energy Efficiency: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 314-320.
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    1. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    2. Sanstad, Alan H. & DeCanio, Stephen J. & Boyd, Gale A. & Koomey, Jonathan G., 2001. "Estimating bounds on the economy-wide effects of the CEF policy scenarios," Energy Policy, Elsevier, vol. 29(14), pages 1299-1311, November.
    3. Ruth, Matthias & Amato, Anthony, 2002. "Vintage structure dynamics and climate change policies: the case of US iron and steel," Energy Policy, Elsevier, vol. 30(7), pages 541-552, June.
    4. Truett, Lila J. & Truett, Dale B., 1997. "The Korean metals industry and economic development," Journal of Asian Economics, Elsevier, vol. 8(2), pages 333-347.

  12. Gale A. Boyd & Stephen H. Karlson, 1993. "The Impact of Energy Prices on Technology Choice in the United States Steel Industry," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 47-56.

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    1. Katrin Millock & Céline Nauges, 2008. "The Effect of Uncertainty on Pollution Abatement Investments: Measuring Hurdle Rates for Swedish Industry," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00343702, HAL.
    2. Katrin Millock & Céline Nauges & Åsa Löfgren, 2007. "Using Ex Post Data to Estimate the Hurdle Rate of Abatement Investments – An Application to the Swedish Pulp and Paper Industry and Energy Sector," Post-Print halshs-00272041, HAL.
    3. Adugna Olani & Samuel Gamtessa, 2016. "How Does Energy-cost Lead To Energy Efficiency? Panel Evidence From Canada," Working Paper 1368, Economics Department, Queen's University.
    4. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2001. "Technological Change and the Environment," Discussion Papers 10566, Resources for the Future.
    5. Pizer, William & Kopp, Raymond & Morgenstern, Richard & Harrington, Winston & Shih, Jhih-Shyang, 2002. "Technology Adoption and Aggregate Energy Efficiency," RFF Working Paper Series dp-02-52, Resources for the Future.
    6. David Popp & Richard G. Newell & Adam B. Jaffe, 2009. "Energy, the Environment, and Technological Change," NBER Working Papers 14832, National Bureau of Economic Research, Inc.
    7. Åsa Löfgren & Katrin Millock & Céline Nauges, 2008. "Using ex post data to estimate the hurdle rate of abatement investments - an application to sulfur emissions from the Swedish pulp and paper industry and energy sector," Documents de travail du Centre d'Economie de la Sorbonne v08017, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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    10. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    11. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
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    10. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
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    1. Kanayo Ogujiuba & Nancy Stiegler, 2014. "Efficiency of Capital-Labor in Nigeria’s Mining Sector: A Cobb-Douglas Framework," Journal of Economics and Behavioral Studies, AMH International, vol. 6(9), pages 760-770.
    2. Fikru, Mahelet G. & Awuah-Offei, Kwame, 2022. "An economic framework for producing critical minerals as joint products," Resources Policy, Elsevier, vol. 77(C).
    3. Stoker, Thomas M. & Berndt, Ernst R. & Denny Ellerman, A. & Schennach, Susanne M., 2005. "Panel data analysis of U.S. coal productivity," Journal of Econometrics, Elsevier, vol. 127(2), pages 131-164, August.
    4. John E. Tilton, 2013. "Cyclical and Secular Determinants of Productivity in the Copper, Aluminum, Iron Ore, and Coal Industries," Working Papers 2013-11, Colorado School of Mines, Division of Economics and Business.
    5. Kuby, M. & Xie, Z., 2001. "The effect of restructuring on US coal mining labor productivity, 1980–1995," Energy, Elsevier, vol. 26(11), pages 1015-1030.
    6. Yang, Zili, 2019. "Increasing returns to scale in energy-intensive sectors and its implications on climate change modeling," Energy Economics, Elsevier, vol. 83(C), pages 208-216.

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    1. Podinovski, Victor V. & Bouzdine-Chameeva, Tatiana, 2017. "Solving DEA models in a single optimization stage: Can the non-Archimedean infinitesimal be replaced by a small finite epsilon?," European Journal of Operational Research, Elsevier, vol. 257(2), pages 412-419.
    2. Reuben Elan & Verma Bharat Bhushan & Bhat Ramesh, 2001. "Hospital Efficiency: An Empirical Analysis of District and Grant-in-Aid Hospitals in Gujarat," IIMA Working Papers WP2001-07-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Lee, Chia-Yen & Johnson, Andrew L. & Moreno-Centeno, Erick & Kuosmanen, Timo, 2013. "A more efficient algorithm for Convex Nonparametric Least Squares," European Journal of Operational Research, Elsevier, vol. 227(2), pages 391-400.

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