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Sources of energy productivity growth and its distribution dynamics in China

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  1. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
  2. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
  3. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
  4. Eder, Andreas & Koller, Wolfgang & Mahlberg, Bernhard, 2024. "Industrial robots and employment change in manufacturing: A combination of index and production-theoretical decomposition analysis," MPRA Paper 121128, University Library of Munich, Germany.
  5. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
  6. 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.
  7. Li, Yonglin & Zuo, Zhili & Cheng, Yue & Cheng, Jinhua & Xu, Deyi, 2023. "Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 80(C).
  8. Shi, Xunpeng & Yu, Jian & Cheong, Tsun Se, 2020. "Convergence and distribution dynamics of energy consumption among China's households," Energy Policy, Elsevier, vol. 142(C).
  9. 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.
  10. Wang, Chunhua, 2013. "Differential output growth across regions and carbon dioxide emissions: Evidence from U.S. and China," Energy, Elsevier, vol. 53(C), pages 230-236.
  11. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
  12. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
  13. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
  14. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
  15. Cheong, Tsun Se & Wu, Yanrui, 2014. "The impacts of structural transformation and industrial upgrading on regional inequality in China," China Economic Review, Elsevier, vol. 31(C), pages 339-350.
  16. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
  17. Vladimír Baláž & Eduard Nežinský & Tomáš Jeck & Richard Filčák, 2020. "Energy and Emission Efficiency of the Slovak Regions," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
  18. Yu, Yantuan & Chen, Xudong & Zhang, Ning, 2022. "Innovation and energy productivity: An empirical study of the innovative city pilot policy in China✰," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  19. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
  20. Gross, Christian, 2012. "Explaining the (non-) causality between energy and economic growth in the U.S.—A multivariate sectoral analysis," Energy Economics, Elsevier, vol. 34(2), pages 489-499.
  21. Chunhua Wang, 2016. "Regional Economic Development, Energy Consumption and Carbon Emissions in China," EEPSEA Research Report rr20160338, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2016.
  22. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
  23. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
  24. Doojav, Gan-Ochir & Kalirajan, Kaliappa, 2020. "Sources of energy productivity change in Australian sub-industries," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 1-10.
  25. Chen, Xiude & Qin, Quande & Wei, Y.-M., 2016. "Energy productivity and Chinese local officials’ promotions: Evidence from provincial governors," Energy Policy, Elsevier, vol. 95(C), pages 103-112.
  26. 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.
  27. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
  28. Feng Wang & Yijie Jiang & Wulin Zhang & Fang Yang, 2019. "Elasticity of factor substitution and driving factors of energy intensity in China’s industry," Energy & Environment, , vol. 30(3), pages 385-407, May.
  29. Minzhe Du & Bing Wang & Yanrui Wu, 2014. "Sources of China’s Economic Growth: An Empirical Analysis Based on the BML Index with Green Growth Accounting," Sustainability, MDPI, vol. 6(9), pages 1-22, September.
  30. Cheong, Tsun Se & Wu, Yanrui, 2018. "Convergence and transitional dynamics of China's industrial output: A county-level study using a new framework of distribution dynamics analysis," China Economic Review, Elsevier, vol. 48(C), pages 125-138.
  31. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
  32. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
  33. Jie Mao & Chunhua Wang, 2016. "Tax incentives and environmental protection: evidence from China’s taxpayer-level data," China Finance and Economic Review, Springer, vol. 4(1), pages 1-30, December.
  34. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
  35. 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.
  36. Cheong, Tsun Se & Li, Victor Jing & Shi, Xunpeng, 2019. "Regional disparity and convergence of electricity consumption in China: A distribution dynamics approach," China Economic Review, Elsevier, vol. 58(C).
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