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Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment

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  • Zhang, Yue-Jun
  • Sun, Ya-Fang
  • Huang, Junling

Abstract

Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase of total factor energy efficiency and carbon emission performance in CDM host countries, the impact of CDM projects on their energy efficiency is always negative, and that on their carbon emission performance gradually varies from positive to negative, meaning that CDM projects are not necessarily helpful to improve the energy efficiency and carbon emission performance in host countries.

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  • Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
  • Handle: RePEc:eee:enepol:v:115:y:2018:i:c:p:119-130
    DOI: 10.1016/j.enpol.2017.12.056
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    as
    1. Doukas, Haris & Karakosta, Charikleia & Psarras, John, 2009. "RES technology transfer within the new climate regime: A "helicopter" view under the CDM," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1138-1143, June.
    2. Zavodov, Kirill, 2012. "Renewable energy investment and the clean development mechanism," Energy Policy, Elsevier, vol. 40(C), pages 81-89.
    3. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    4. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
    5. Zhang, Yue-Jun, 2011. "Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia," Energy Policy, Elsevier, vol. 39(5), pages 2265-2272, May.
    6. Koo, Bonsang, 2017. "Preparing hydropower projects for the post-Paris regime: An econometric analysis of the main drivers for registration in the Clean Development Mechanism," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 868-877.
    7. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    8. Halkos, George Emm. & Tzeremes, Nickolaos G., 2009. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis," Ecological Economics, Elsevier, vol. 68(7), pages 2168-2176, May.
    9. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    10. Murata, A. & Liang, J. & Eto, R. & Tokimatsu, K. & Okajima, K. & Uchiyama, Y., 2016. "Environmental co-benefits of the promotion of renewable power generation in China and India through clean development mechanisms," Renewable Energy, Elsevier, vol. 87(P1), pages 120-129.
    11. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    12. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.
    13. Pang, Rui-Zhi & Deng, Zhong-Qi & Hu, Jin-li, 2015. "Clean energy use and total-factor efficiencies: An international comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1158-1171.
    14. Zhang, Junjie & Wang, Can, 2011. "Co-benefits and additionality of the clean development mechanism: An empirical analysis," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 140-154, September.
    15. Koo, Bonsang, 2017. "Examining the impacts of Feed-in-Tariff and the Clean Development Mechanism on Korea's renewable energy projects through comparative investment analysis," Energy Policy, Elsevier, vol. 104(C), pages 144-154.
    16. Rolf Fare & Shawna Grosskopf & Valentin Zelenyuk, 2008. "Aggregation of Nerlovian profit indicator," Applied Economics Letters, Taylor & Francis Journals, vol. 15(11), pages 845-847.
    17. Lim, Xin-Le & Lam, Wei-Haur, 2014. "Review on Clean Development Mechanism (CDM) implementation in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 276-285.
    18. Schneider, Malte & Holzer, Andreas & Hoffmann, Volker H., 2008. "Understanding the CDM's contribution to technology transfer," Energy Policy, Elsevier, vol. 36(8), pages 2920-2928, August.
    19. van der Gaast, Wytze & Begg, Katherine & Flamos, Alexandros, 2009. "Promoting sustainable energy technology transfers to developing countries through the CDM," Applied Energy, Elsevier, vol. 86(2), pages 230-236, February.
    20. World Bank, 2017. "World Development Indicators 2017," World Bank Publications, The World Bank, number 26447, November.
    21. Zelenyuk, Valentin, 2015. "Aggregation of scale efficiency," European Journal of Operational Research, Elsevier, vol. 240(1), pages 269-277.
    22. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    23. Phillips, Jon & Newell, Peter, 2013. "The governance of clean energy in India: The clean development mechanism (CDM) and domestic energy politics," Energy Policy, Elsevier, vol. 59(C), pages 654-662.
    24. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    25. Zhao, Zhen-Yu & Li, Zhi-Wei & Xia, Bo, 2014. "The impact of the CDM (clean development mechanism) on the cost price of wind power electricity: A China study," Energy, Elsevier, vol. 69(C), pages 179-185.
    26. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    27. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    28. Binder, Martin & Coad, Alex, 2011. "From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 275-290, August.
    29. Wang, Bo, 2010. "Can CDM bring technology transfer to China?--An empirical study of technology transfer in China's CDM projects," Energy Policy, Elsevier, vol. 38(5), pages 2572-2585, May.
    30. 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.
    31. Huang, Yongfu & Barker, Terry, 2012. "The Clean Development Mechanism and low carbon development: A panel data analysis," Energy Economics, Elsevier, vol. 34(4), pages 1033-1040.
    32. Erickson, Peter & Lazarus, Michael & Spalding-Fecher, Randall, 2014. "Net climate change mitigation of the Clean Development Mechanism," Energy Policy, Elsevier, vol. 72(C), pages 146-154.
    33. 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.
    34. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    35. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    36. Pavlo Demchuk & Valentin Zelenyuk, 2009. "Testing differences in efficiency of regions within a country: the case of Ukraine," Journal of Productivity Analysis, Springer, vol. 32(2), pages 81-102, October.
    37. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    38. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    39. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    40. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    41. Zhang, Chi & Yan, Jinyue, 2015. "CDM’s influence on technology transfers: A study of the implemented clean development mechanism projects in China," Applied Energy, Elsevier, vol. 158(C), pages 355-365.
    42. Sawhney, Aparna & Rahul, M., 2014. "Examining the regional pattern of renewable energy CDM power projects in India," Energy Economics, Elsevier, vol. 42(C), pages 240-247.
    43. Hu, Jin-Li & Kao, Chih-Hung, 2007. "Efficient energy-saving targets for APEC economies," Energy Policy, Elsevier, vol. 35(1), pages 373-382, January.
    44. Dechezleprêtre, Antoine & Glachant, Matthieu & Ménière, Yann, 2009. "Technology transfer by CDM projects: A comparison of Brazil, China, India and Mexico," Energy Policy, Elsevier, vol. 37(2), pages 703-711, February.
    45. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    46. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    47. Hieronymi, Philipp & Schüller, David, 2015. "The Clean-Development Mechanism, stochastic permit prices and energy investments," Energy Economics, Elsevier, vol. 47(C), pages 25-36.
    48. Wu, Xuecheng & Zhao, Liang & Zhang, Yongxin & Zhao, Lingjie & Zheng, Chenghang & Gao, Xiang & Cen, Kefa, 2016. "Cost and potential of energy conservation and collaborative pollutant reduction in the iron and steel industry in China," Applied Energy, Elsevier, vol. 184(C), pages 171-183.
    49. Rahman, Shaikh M. & Kirkman, Grant A., 2015. "Costs of certified emission reductions under the Clean Development Mechanism of the Kyoto Protocol," Energy Economics, Elsevier, vol. 47(C), pages 129-141.
    50. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    51. Yanrui Wu, 2004. "Openness, productivity and growth in the APEC economies," Empirical Economics, Springer, vol. 29(3), pages 593-604, September.
    52. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    53. Makni, Rania & Benouda, Olfa & Delhoumi, Ezzedine, 2015. "Large scale analysis of Islamic equity funds using a meta-frontier approach with data envelopment analysis," Research in International Business and Finance, Elsevier, vol. 34(C), pages 324-337.
    54. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
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