Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector

Enerdata (2018, November 06). Global Energy Statistical Yearbook 2017. Available online: https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html.

National Bureau of Statistics of China (2018, November 06). China Statistical Yearbook 2017, Available online: http://www.stats.gov.cn/tjsj/ndsj/2017/indexeh.htm.

The Health Effects Institute (HEI) (2018, November 06). State of Global Air, 2017: A Special Report on Global Exposure to Air Pollution and Its Disease Burden. Available online: https://www.stateofglobalair.org/sites/default/files/SOGA2017_report.pdf.

The HINDU (2018, November 06). India’s Pollution Levels Beat China’s: Study. Available online: http://www.thehindu.com/news/cities/Delhi/indias-pollution-levels-beat-chinas-study/article8269631.ece.

Grosskopf, 1996, An activity analysis model of the environmental performance of firms—Application to fossil-fuel-fired electric utilities, Ecol. Econ., 18, 161, 10.1016/0921-8009(96)00019-5

Zaim, 2000, A Kuznets curve in environmental efficiency: An application on OECD countries, Environ. Resour. Econ., 17, 21, 10.1023/A:1008318605976

Grosskopf, 2004, Environmental performance: An index number approach, Resour. Energy Econ., 26, 343, 10.1016/j.reseneeco.2003.10.003

Zhou, 2008, Decomposition of aggregate CO2 emissions: A production-theoretical approach, Energy Econ., 30, 1054, 10.1016/j.eneco.2007.10.005

Hu, 2006, Total-factor energy efficiency of regions in China, Energy Policy, 34, 3206, 10.1016/j.enpol.2005.06.015

Wei, 2009, Empirical analysis of provincial energy efficiency in China, China World Econ., 17, 88, 10.1111/j.1749-124X.2009.01168.x

Chang, 2010, Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China, Appl. Energy, 87, 3262, 10.1016/j.apenergy.2010.04.026

Zou, 2013, Measurement and evaluation of Chinese regional energy efficiency based on provincial panel data, Math. Comput. Model., 58, 1000, 10.1016/j.mcm.2012.09.020

Li, 2015, Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China, Energy Econ., 48, 230, 10.1016/j.eneco.2015.01.006

Zhou, 2017, Energy efficiency and congestion assessment with energy mix effect: The case of APEC countries, J. Clean. Prod., 142, 819, 10.1016/j.jclepro.2016.08.166

Choi, 2012, Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure, Appl. Energy, 98, 198, 10.1016/j.apenergy.2012.03.024

Wang, 2012, A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?, Energy Policy, 46, 574, 10.1016/j.enpol.2012.04.038

Wang, 2013, China’s regional energy and environmental efficiency: A range-adjusted measure based analysis, Appl. Energy, 112, 1403, 10.1016/j.apenergy.2013.04.021

Yeh, 2010, A comparative study of energy utilization efficiency between Taiwan and China, Energy Policy, 38, 2386, 10.1016/j.enpol.2009.12.030

Wang, 2015, A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis, Appl. Energy, 147, 617, 10.1016/j.apenergy.2015.01.108

Zhang, 2013, Environmental energy efficiency of China’s regional economies: A non-oriented slacks-based measure analysis, Soc. Sci. J., 50, 225, 10.1016/j.soscij.2013.01.003

Yu, 2015, Measuring environmental performance under regional heterogeneity in China: Ametafrontier efficiency analysis, Comput. Econ., 46, 375, 10.1007/s10614-014-9464-5

Kao, 2013, Dynamic data envelopment analysis: A relational analysis, Eur. J. Oper. Res., 227, 325, 10.1016/j.ejor.2012.12.012

Sueyoshi, 2013, DEA window analysis for environmental assessment in a dynamic time shift: Performance assessment of US coal-fired power plants, Energy Econ., 40, 845, 10.1016/j.eneco.2013.09.020

Wang, 2013, China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation, Math. Comput. Model., 58, 1117, 10.1016/j.mcm.2011.11.067

Wu, 2014, Energy efficiency evaluation for regions in China: An application of DEA and Malmquist indices, Energy Effic., 7, 429, 10.1007/s12053-013-9232-8

Yao, 2016, Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach, Appl. Energy, 184, 1142, 10.1016/j.apenergy.2016.08.064

Wu, 2017, Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices, Oper. Res., 17, 715

Tone, 2010, Dynamic DEA: A slacks-based measure approach, Omega, 38, 145, 10.1016/j.omega.2009.07.003

Guo, 2017, Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China, Energy, 134, 392, 10.1016/j.energy.2017.06.040

Ke, 2017, Energy efficiency of APEC members—Applied dynamic SBM model, Carbon Manag., 8, 293, 10.1080/17583004.2017.1357401

Cole, 2008, Industrial activity and the environment in China: An industry-level analysis, China Econ. Rev., 19, 393, 10.1016/j.chieco.2007.10.003

Wang, 2011, CO2 emissions, energy consumption and economic growth in China: A panel data analysis, Energy Policy, 39, 4870, 10.1016/j.enpol.2011.06.032

Yang, 2015, Industrial energy efficiency in China: Achievements, challenges and opportunities, Energy Strategy Rev., 6, 20, 10.1016/j.esr.2014.11.007

Dong, 2017, A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool, Pet. Sci., 14, 214, 10.1007/s12182-016-0136-z

Grosskopf, 1997, Productivity growth, technical progress, and efficiency change in industrialized countries: Reply, Am. Econ. Rev., 87, 1040

Grosskopf, 1996, Productivity and intermediate products: A frontier approach, Econ. Lett., 50, 65, 10.1016/0165-1765(95)00729-6

Department of Industry Statistical, National Bureau of Statistics of China (2012). China Industry Statistical Yearbook, 2012.

Department of Industry Statistical, National Bureau of Statistics of China (2013). China Industry Statistical Yearbook, 2013.

Department of Industry Statistical, National Bureau of Statistics of China (2014). China Industry Statistical Yearbook, 2014.

Department of Industry Statistical, National Bureau of Statistics of China (2015). China Industry Statistical Yearbook, 2015.

Department of Industry Statistical, National Bureau of Statistics of China (2016). China Industry Statistical Yearbook, 2016.

Department of Energy Statistical, National Bureau of Statistics of China (2012). China Energy Statistical Yearbook, 2012.

Department of Energy Statistical, National Bureau of Statistics of China (2013). China Energy Statistical Yearbook, 2013.

Department of Energy Statistical, National Bureau of Statistics of China (2014). China Energy Statistical Yearbook, 2014.

Department of Energy Statistical, National Bureau of Statistics of China (2015). China Energy Statistical Yearbook, 2015.

Department of Energy Statistical, National Bureau of Statistics of China (2016). China Energy Statistical Yearbook, 2016.

National Bureau of Statistics of China, and National Bureau of Statistics Ministry of Environmental Protection (2012). China Statistical Yearbook on Environment, 2012.

National Bureau of Statistics of China, and National Bureau of Statistics Ministry of Environmental Protection (2013). China Statistical Yearbook on Environment, 2013.

National Bureau of Statistics of China, and National Bureau of Statistics Ministry of Environmental Protection (2014). China Statistical Yearbook on Environment, 2014.

National Bureau of Statistics of China, and National Bureau of Statistics Ministry of Environmental Protection (2015). China Statistical Yearbook on Environment, 2015.

National Bureau of Statistics of China, and National Bureau of Statistics Ministry of Environmental Protection (2016). China Statistical Yearbook on Environment, 2016.