|
[1] Enerdata. 2017. Global Energy Statistical Yearbook 2017, Available online: https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html (accessed on 16 November 2018) [2] National Bureau of Statistics of China. 2018. China Statistical Yearbook 2018, Available online: http://www.stats.gov.cn/tjsj/ndsj/2018/indexeh.htm (accessed on 8 January 2019) [3] National Bureau of Statistics of China; Department of Energy Statistical, China Energy Statistical Yearbook, 2017, China Statistics Press. Beijing, China, 2017. [4] Statista. 2017. Largest producers of CO2 emissions worldwide in 2016, based on their share of global CO2 emissions, Available online: https://www.statista.com/statistics/271748/the-largest-emitters-of-co2-in-the-world(accessed on 16 November 2018) [5] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2017, China Statistics Press. Beijing, China, 2017. [6] The Health Effects Institute (HEI), 2017, 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 (accessed on 6 November 2018) [7] U.N. National Accounts Main Aggregates Database, 2018, Value added by economic activity at current prices—U.S. dollars, Available online: http://unstats.un.org/unsd/snaama/resQuery.asp (accessed on 16 November 2018) [8] The State Council of China, 2010, Guiding Opinions about Promoting the Joint Prevention and Control of Air Pollution and Improving the Quality of the Public’s Living Environment, Available online: http://www.gov.cn/zwgk/2010-05/13/content_1605605.htm(accessed on 16 November 2018) [9] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2012, China Statistics Press, Beijing, China, 2012. [10] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2013, China Statistics Press. Beijing, China, 2013. [11] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2014, China Statistics Press, Beijing, China, 2014. [12] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2015, China Statistics Press, Beijing, China, 2015. [13] National Bureau of Statistics of China; National Bureau of Statistics Ministry of Environmental Protection, China Statistical Yearbook on Environment, 2016, China Statistics Press, Beijing, China, 2016. [14] National Bureau of Statistics of China; Department of EnergyStatistical, China Energy Statistical Yearbook, 2012, China Statistics Press, Beijing, China, 2012. [15] National Bureau of Statistics of China; Department of EnergyStatistical, China Energy Statistical Yearbook, 2013, China Statistics Press, Beijing, China, 2013. [16] National Bureau of Statistics of China; Department of EnergyStatistical, China Energy Statistical Yearbook, 2014, China Statistics Press, Beijing, China, 2014. [17] National Bureau of Statistics of China; Department of EnergyStatistical, China Energy Statistical Yearbook, 2015, China Statistics Press, Beijing, China, 2015. [18] National Bureau of Statistics of China; Department of EnergyStatistical, China Energy Statistical Yearbook, 2016, China Statistics Press, Beijing, China, 2016. [19] National Bureau of Statistics of China; Department of Industry Statistical,China Industry Statistical Yearbook, volume 1, 2012, China Statistics Press, Beijing, China, 2012. [20] National Bureau of Statistics of China; Department of Industry Statistical,China Industry Statistical Yearbook, volume 1, 2013, China Statistics Press, Beijing, China, 2013. [21] National Bureau of Statistics of China; Department of Industry Statistical,China Industry Statistical Yearbook, volume 1, 2014, China Statistics Press, Beijing, China, 2014. [22] National Bureau of Statistics of China; Department of Industry Statistical, China Industry Statistical Yearbook, volume 1, 2015, China Statistics Press. Beijing, China, 2015. [23] National Bureau of Statistics of China; Department of Industry Statistical, China Industry Statistical Yearbook, volume 1, 2016, China Statistics Press. Beijing, China, 2016. [24] The HINDU. 2016. 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 (accessed on 6 November 2018) [25] Farrell, M. J. (1957), “The measurement of productive efficiency, ” Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281. [26] Charnes, A., Cooper, W. W., and Rhodes, E. (1978), “Measuring the efficiency of decision making units,” European Journal of Operational research, 2(6), 429-444. [27] Banker, R. D., Charnes, A., and Cooper, W. W. (1984), “Some models for estimating technical and scale inefficiencies in data envelopment analysis,” Management Science, 30(9), 1078-1092. [28] Tone, K. (2001), “A slacks-based measure of efficiency in data envelopment analysis,” European Journal of Operational Research, 130(3), 498-509. [29] Tone, K. (2004), “A hybrid measure of efficiency in DEA,” GRIPS Policy Information Center, Research Report Series, 2004-0003. [30] Kao, C. (2013), “Dynamic data envelopment analysis: A relational analysis,” European Journal of Operational Research, 227(2), 325-330. [31] Charnes, A., and Cooper, W. W. (1984), “Preface to topics in data envelopment analysis,” Annals of Operations Research, 2(1), 59-94. [32] Caves, D. W., Christensen, L. R., and Diewert, W. E. (1982), “The economic theory of index numbers and the measurement of input, output, and productivity,” Econometrica: Journal of the Econometric Society, 1393-1414. [33] Färe, R., Grosskopf, S., Norris, M., and Zhang, Z. (1994), “Productivity growth, technical progress, and efficiency change in industrialized countries,” The American Economic Review, 66-83. [34]Tone, K., and Tsutsui, M. (2010), “Dynamic DEA: A slacks-based measure approach,” Omega, 38(3-4), 145-156. [35] Chung, Y. H., Färe, R., and Grosskopf, S. (1997), “Productivity and undesirable outputs: a directional distance function approach,” Journal of Environmental Management, 51(3), 229-240. [36] Chambers, R. G., Fāure, R., and Grosskopf, S. (1996), “Productivity growth in APEC countries,” Pacific Economic Review, 1(3), 181-190. [37] Färe, R., and Grosskopf, S. (2004), “Modeling undesirable factors in efficiency evaluation: comment,” European Journal of Operational Research, 157(1), 242-245. [38] Färe, R., and Lovell, C. K. (1978), “Measuring the technical efficiency of production,” Journal of Economic Theory, 19(1), 150-162. [39] Färe, R., and Grosskopf, S. (2010), “Directional distance functions and slacks-based measures of efficiency,” European Journal of Operational Research, 200(1), 320-322. [40] Battese, G. E., Rao, D. P., and O’donnell, C. J. (2004), “A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies,” Journal of Productivity Analysis, 21(1), 91-103. [41] O’Donnell, C. J., Rao, D. P., and Battese, G. E. (2008), “Metafrontier frameworks for the study of firm-level efficiencies and technology ratios,” Empirical Economics, 34(2), 231-255. [42] Färe, R., Grosskopf, S., and Tyteca, D. (1996), “An activity analysis model of the environmental performance of firms—application to fossil-fuel-fired electric utilities,” Ecological Economics, 18(2), 161-175. [43] Zaim, O., and Taskin, F. (2000), “A Kuznets curve in environmental efficiency: an application on OECD countries,” Environmental and Resource Economics, 17 (1), 21-36. [44] Färe, R., Grosskopf, S., and Hernandez-Sancho, F. (2004), “Environmental performance: an index number approach,” Resource and Energy Economics, 26(4), 343-352. [45] Ramanathan, R. (2005), “An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa,” Energy, 30(15), 2831-2842. [46] Hu, J. L., and Kao, C. H. (2007), “Efficient energy-saving targets for APEC economies,” Energy Policy, 35(1), 373-382. [47] Zhang, X. P., Cheng, X. M., Yuan, J. H., and Gao, X. J. (2011), “Total-factor energy efficiency in developing countries,” Energy Policy, 39(2), 644-650. [48] Bampatsou, C., Papadopoulos, S., and Zervas, E. (2013), “Technical efficiency of economic systems of EU-15 countries based on energy consumption,” Energy Policy, 55, 426-434. [49] Song, M. L., Zhang, L. L., Liu, W., and Fisher, R. (2013), “Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data,” Applied Energy, 112, 1049-1055. [50] Camarero, M., Castillo, J., Picazo-Tadeo, A. J., and Tamarit, C. (2013), “Eco-efficiency and convergence in OECD countries,” Environmental and Resource Economics, 55(1), 87-106. [51] Chang, M. C. (2014), “Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU,” Energy Policy, 67, 648-655. [52] Robaina-Alves, M., Moutinho, V., and Macedo, P. (2015), “A new frontier approach to model the eco-efficiency in European countries,” Journal of Cleaner Production, 103, 562-573. [53] Apergis, N., Aye, G. C., Barros, C. P., Gupta, R., and Wanke, P. (2015), “Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs,” Energy Economics, 51, 45-53. [54] Guo, X., Lu, C. C., Lee, J. H., and Chiu, Y. H. (2017), “Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China,” Energy, 134, 392-399. [55] Zhou, D. Q., Meng, F. Y., Bai, Y., and Cai, S. Q. (2017), “Energy efficiency and congestion assessment with energy mix effect: The case of APEC countries” Journal of Cleaner Production, 142, 819-828. [56] Jebali, E., Essid, H., and Khraief, N. (2017), “The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach,” Energy, 134, 991-1000. [57] Ke, T. Y. (2017), “Energy efficiency of APEC members–applied dynamic SBM model,” Carbon Management, 8(4), 293-303. [58] Hu, J. L., and Wang, S. C. (2006), “Total-factor energy efficiency of regions in China,” Energy Policy, 34(17), 3206-3217. [59] Wei, C., Ni, J., and Shen, M. (2009), “Empirical analysis of provincial energy efficiency in China,” China and World Economy, 17(5), 88-103. [60] Chang, T. P., and Hu, J. L. (2010), “Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China,” Applied Energy, 87(10), 3262-3270. [61] Yeh, T. L., Chen, T. Y., and Lai, P. Y. (2010), “A comparative study of energy utilization efficiency between Taiwan and China,” Energy Policy, 38(5), 2386-2394. [62] Choi, Y., Zhang, N., and Zhou, P. (2012), “Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure,” Applied Energy, 98, 198-208. [63] Li, L. B., and Hu, J. L. (2012), “Ecological total-factor energy efficiency of regions in China,” Energy Policy, 46, 216-224. [64] Wang, K., Wei, Y. M., and Zhang, X. (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, 574-584. [65] Song, M. L., Yang, L., Wu, J., and Lv, W. D. (2013), “Energy saving in China: Analysis on the energy efficiency via bootstrap-DEA approach,” Energy Policy, 57, 1-6. [66] Wang, K., Wei, Y. M., and Zhang, X. (2013), “Energy and emissions efficiency patterns of Chinese regions: a multi-directional efficiency analysis,” Applied Energy, 104, 105-116. [67] Wang, K., Yu, S., and Zhang, W. (2013), “China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation,” Mathematical and Computer Modelling, 58(5-6), 1117-1127. [68] Wang, Q., Zhao, Z., Zhou, P., and Zhou, D. (2013), “Energy efficiency and production technology heterogeneity in China: a meta-frontier DEA approach,” Economic Modelling, 35, 283-289. [69] Wang, H., Zhou, P., and Zhou, D. Q. (2013), “Scenario-based energy efficiency and productivity in China: a non-radial directional distance function analysis,” Energy Economics, 40, 795-803. [70] Wang, K., Lu, B., and Wei, Y. M. (2013), “China’s regional energy and environmental efficiency: a range-adjusted measure based analysis,” Applied Energy, 112, 1403-1415. [71] Yang, F., Yang, M., and Nie, H. (2013), “Productivity trends of Chinese regions: A perspective from energy saving and environmental regulations,” Applied Energy, 110, 82-89. [72] Zhang, N., and Choi, Y. (2013), “Environmental energy efficiency of China's regional economies: a non-oriented slacks-based measure analysis, ” The Social Science Journal, 50(2), 225-234. [73] Lin, B., and Du, K. (2013), “Technology gap and China's regional energy efficiency: a parametric metafrontier approach,” Energy Economics, 40, 529-536. [74] Wang, Q., Zhou, P., Zhao, Z., and Shen, N. (2014), “Energy efficiency and energy saving potential in China: A directional meta-frontier DEA approach,” Sustainability, 6(8), 5476-5492. [75] Du, K., Lu, H., and Yu, K. (2014), “Sources of the potential CO2 emission reduction in China: a nonparametric metafrontier approach,” Applied Energy, 115, 491-501. [76] Wang, Q., Su, B., Sun, J., Zhou, P., and Zhou, D. (2015), “Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities,” Applied Energy, 151, 85-92. [77] Yao, X., Zhou, H., Zhang, A., and Li, A. (2015), “Regional energy efficiency, carbon emission performance and technology gaps in China: a meta-frontier non-radial directional distance function analysis,” Energy Policy, 84, 142-154. [78] Wang, Z., and Feng, C. (2015), “A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis,” Applied Energy, 147, 617-626. [79] Lv, W., Hong, X., and Fang, K. (2015), “Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model,” Annals of Operations Research, 228(1), 9-22. [80] Yang, F., and Yang, M. (2015), “Analysis on China’s eco-innovations: regulation context, intertemporal change and regional differences,” European Journal of Operational Research, 247(3), 1003-1012. [81] Zhang, N., Kong, F., and Yu, Y. (2015), “Measuring ecological total-factor energy efficiency incorporating regional heterogeneities in China,” Ecological Indicators, 51, 165-172. [82] Yu, Y., and Choi, Y. (2015), “Measuring environmental performance under regional heterogeneity in China: a metafrontier efficiency analysis,” Computational Economics, 46(3), 375-388. [83] Li, K., and Lin, B. (2015), “Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China,” Energy Economics, 48, 230-241. [84] Meng, F., Su, B., Thomson, E., Zhou, D., and Zhou, P. (2016), “Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey,” Applied Energy, 183, 1-21. [85] Wang, J., Lv, K., Bian, Y., and Cheng, Y. (2017), “Energy efficiency and marginal carbon dioxide emission abatement cost in urban China,” Energy Policy, 105, 246-255. [86] Feng, C., Zhang, H., and Huang, J. B. (2017), “The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis,” Renewable and Sustainable Energy Reviews, 71, 859-872. [87] Abdelaziz, E. A., Saidur, R., and Mekhilef, S. (2011), “A review on energy saving strategies in industrial sector,” Renewable and Sustainable Energy Reviews, 15(1), 150-168. [88] Fais, B., Sabio, N., and Strachan, N. (2016), “The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets,” Applied Energy, 162, 699-712. [89] Elliott, R. J., and Shanshan, W. U. (2008), “Industrial activity and the environment in China: an industry-level analysis,” China Economic Review, 19(3), 393-408. [90] Wang, S. S., Zhou, D. Q., Zhou, P., and Wang, Q. W. (2011), “CO2 emissions, energy consumption and economic growth in China: A panel data analysis,” Energy Policy, 39(9), 4870-4875. [91] Yang, M., Patino-Echeverri, D., Yang, F., and Williams, E. (2015), “Industrial energy efficiency in China: achievements, challenges and opportunities,” Energy Strategy Reviews, 6, 20-29. [92] Dong, K. Y., Sun, R. J., Li, H., and Jiang, H. D. (2017), “A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool,” Petroleum Science, 14(1), 214-227. [93] Zhang, C., Zhou, K., Yang, S., and Shao, Z. (2017), “On electricity consumption and economic growth in China,” Renewable and Sustainable Energy Reviews, 76, 353-368. [94] Xu, R., and Lin, B. (2017), “Why are there large regional differences in CO2 emissions? Evidence from China’s manufacturing industry,” Journal of Cleaner Production, 140, 1330-1343. [95] Wu, A. H., Cao, Y. Y., and Liu, B. (2014), “Energy efficiency evaluation for regions in China: an application of DEA and Malmquist indices,” Energy efficiency, 7(3), 429-439. [96] Wang, K., and Wei, Y. M. (2014), “China’s regional industrial energy efficiency and carbon emissions abatement costs,” Applied Energy, 130, 617-631. [97] Liu, Y., and Wang, K. (2015), “Energy efficiency of China’s industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis,” Energy, 93, 1328-1337. [98] Yao, X., Guo, C., Shao, S., and Jiang, Z. (2016), “Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach,” Applied Energy, 184, 1142-1153. [99] Hu, J.L., and Chang, T.P. (2016b),“Energy and pollution efficiencies in China’s regions,” in Thomson, E., and Su, B. (Eds.), China’s Energy Efficiency and Conservation: Household Behaviour, Legislation, Regional Analysis and Impacts, 61-74, Springer. [100] Hu, J.L., and Honma, S. (2019), “A Meta Stochastic Frontier Analysis of Industry-level Energy Efficiency in OECD Countries,” Journal of Economics and Management, 15(2), 171-220. [101] Hao, Y., Zhang, Z. Y., Liao, H., and Wei, Y. M. (2015), “China’s farewell to coal: A forecast of coal consumption through 2020,” Energy Policy, 86, 444-455. [102] Yuan, J., Na, C., Lei, Q., Xiong, M., Guo, J., and Hu, Z. (2018), “Coal use for power generation in China,” Resources, Conservation and Recycling, 129, 443-453. [103] Bildirici, M. E., and Bakirtas, T. (2014), “The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries,” Energy, 65, 134-144. [104] Shahbaz, M., Farhani, S., and Ozturk, I. (2015), “Do coal consumption and industrial development increase environmental degradation in China and India,” Environmental Science and Pollution Research, 22(5), 3895-3907. [105] Wang, Q., and Li, R.(2016), “Journey to burning half of global coal: Trajectory and drivers of China’s coal use,” Renewable and Sustainable Energy Reviews, 58: 341-346. [106] Chen, W., and Xu, R.(2010), “Clean coal technology development in China,” Energy Policy,38(5), 2123-2130. [107] Wang, Q., and Li, R(2017), “Decline in China's coal consumption: An evidence of peak coal or a temporary blip,” Energy Policy,108: 696-701. [108] Wang, Q.; Jiang, R.; Zhan, L.(2019), “Is decoupling economic growth from fuel consumption possible in developing countries? – A comparison of China and India,” Journal of Cleaner Production, 229: 806-817. [109] National Bureau of Statistics of China, 2018, China Statistical Yearbook 2018, Available online: http://www.stats.gov.cn/tjsj/ndsj/2018/indexeh.htm (accessed on 16 November 2018)
|