- Arbolino, R.; Carlucci, F.; Cirà , A.; Ioppolo, G.; Yigitcanlar, T. Efficiency of the EU regulation on greenhouse gas emissions in Italy: The hierarchical cluster analysis approach. Ecol. Indic. 2017, 81, 115–123. [CrossRef]
Paper not yet in RePEc: Add citation now
- Bowlin, W.F. Evaluating the Efficiency of US Air Force Real-Property Maintenance Activities. J. Oper. Res. Soc. 1987, 38, 127–135. [CrossRef]
Paper not yet in RePEc: Add citation now
Chen, L.; Jia, G.Z. Environmental efficiency analysis of China’s regional industry: A data envelopment analysis (DEA) based approach. J. Clean. Prod. 2017, 142, 846–853. [CrossRef]
- China Economic and Social Development Statistics Database. 2017. Available online: http://tongji.cnki.net/ kns55/index.aspx (accessed on 21 January 2017).
Paper not yet in RePEc: Add citation now
- China Statistics Press. China Statistical Yearbook on Environment; China Statistics Press: Beijing, China, 2005–2015. Available online: http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD&pykm=YHJSD (accessed on 8 November 2016).
Paper not yet in RePEc: Add citation now
Du, H.B.; Matisoff, D.C.; Wang, Y.Y.; Liu, X. Understanding drivers of energy efficiency changes in China. Appl. Energy 2016, 184, 1196–1206. [CrossRef]
- Du, J.; Chen, Y.; Huang, Y. A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China. Eur. J. Oper. Res. 2017, in press. [CrossRef]
Paper not yet in RePEc: Add citation now
- Du, L.M. Impact Factors of China’s Carbon Dioxide Emissions: Provincial Panel Data Analysis. S. China J. Econ. 2010, 11, 20–33. (In Chinese)
Paper not yet in RePEc: Add citation now
Färe, R.; Grosskopf, S.; Lovell, C.A.K.; Pasurka, C. Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach. Rev. Econ. Stat. 1989, 71, 90–98. [CrossRef]
Feng, C.; Zhang, H.; Huang, J.B. The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis. Renew. Sustain. Energy Rev. 2017, 71, 859–872. [CrossRef]
Goto, M.; Tsutsui, M. Comparison of Productive and Cost Efficiencies among Japanese and US Electric Utilities. Omega 1998, 26, 177–194. [CrossRef]
- IEA. CO2 Emissions from Fuel Combustion Highlights 2016. Available online: http://bbs.pinggu.org/ thread-5418823--1-1.html (accessed on 21 November 2016).
Paper not yet in RePEc: Add citation now
- Intergovernmental Panel on Climate Change (IPCC). 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Available online: www.ipcc.ch (accessed on 9 August 2016). 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Paper not yet in RePEc: Add citation now
- Li, A.J.; Zhang, A.Z.; Zhou, Y.X.; Yao, X. Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China. J. Clean. Prod. 2017, 141, 1428–1444. [CrossRef]
Paper not yet in RePEc: Add citation now
Li, K.; Lin, B.Q. Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China. Energy Econ. 2015, 48, 230–241. [CrossRef]
- Long, R.Y.; Wang, H.Z.; Chen, H. Regional differences and pattern classifications in the efficiency of coal consumption in China. J. Clean. Prod. 2016, 112, 3684–3691. [CrossRef]
Paper not yet in RePEc: Add citation now
- Ministry of Environmental Protection. 2017. Available online: http://www.zhb.gov.cn/ (accessed on 12 March 2017).
Paper not yet in RePEc: Add citation now
- National Bureau of Statistics of China. China Energy Statistical Yearbook 2005–2015; China Statistics Press: Beijing, China, 2005–2015. Available online: http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD& pykm=YCXME (accessed on 9 August 2016).
Paper not yet in RePEc: Add citation now
- National Bureau of Statistics of China. China Labour Statistical Yearbook 2005–2015; China Statistics Press: Beijing, China, 2005–2015. Available online: http://navi.cnki.net/KNavi/YearbookDetail?pcode=CYFD& pykm=YZLDT&bh=N2016030140 (accessed on 9 November 2016).
Paper not yet in RePEc: Add citation now
- National Bureau of Statistics of China. China Statistical Yearbook 2005–2015; China Statistics Press: Beijing, China, 2005–2015. Available online: http://data.stats.gov.cn/easyquery.htm?cn=E0103 (accessed on 9 August 2016).
Paper not yet in RePEc: Add citation now
- National Coordination Committee on Climate Change, Energy Research Institute of National Development and Reform Commission. China’s Greenhouse Gas Inventories; China Environment Science Press: Beijing, China, 2007. (In Chinese)
Paper not yet in RePEc: Add citation now
- Shan, H. Reestimating the capital stock in China: 1952–2006. J. Quant. Tech. Econ. 2008, 10, 17–31. (In Chinese) Sustainability 2017, 9, 2078 18 of 18
Paper not yet in RePEc: Add citation now
Sueyoshi, T.; Aoki, S. A use of a nonparametric statistic for DEA frontier shift: The Kruskal and Wallis rank test. Omega 2001, 29, 1–18. [CrossRef]
Sueyoshi, T.; Goto, M. A comparative study among fossil fuel power plants in PJM and California ISO by DEA environmental assessment. Energy Econ. 2013, 40, 130–145. [CrossRef]
Sueyoshi, T.; Goto, M. Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry. Eur. J. Oper. Res. 2012, 216, 668–678. [CrossRef]
Sueyoshi, T.; Goto, M. DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations. Energy Econ. 2013, 40, 370–382. [CrossRef]
Sueyoshi, T.; Goto, M. DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models. Energy Econ. 2012, 34, 1854–1863. [CrossRef]
Sueyoshi, T.; Goto, M. DEA radial and non-radial models for unified efficiency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions. Energy Econ. 2012, 34, 700–713. [CrossRef]
Sueyoshi, T.; Goto, M. DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms. Appl. Energy 2014, 115, 502–513. [CrossRef] Sustainability 2017, 9, 2078 16 of 18
Sueyoshi, T.; Goto, M. Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors. Energy Econ. 2014, 46, 295–307. [CrossRef]
Sueyoshi, T.; Goto, M. Japanese fuel mix strategy after disaster of Fukushima Daiichi nuclear power plant: Lessons from international comparison among industrial nations measured by DEA environmental assessment in time horizon. Energy Econ. 2015, 52, 87–103. [CrossRef] Sustainability 2017, 9, 2078 17 of 18
Sueyoshi, T.; Goto, M. Undesirable congestion under natural disposability and desirable congestion under managerial disposability in U.S. electric power industry measured by DEA environmental assessment. Energy Econ. 2016, 55, 173–188. [CrossRef]
Sueyoshi, T.; Goto, M.; Sugiyama, M. DEA Window analysis for environmental assessment in a dynamic time shift: Performance assessment of U.S. coal-fired power plants. Energy Econ. 2013, 40, 845–857. [CrossRef]
Sueyoshi, T.; Goto, M.; Wang, D. Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces. Energy Econ. 2017, 67, 554–571. [CrossRef]
Sueyoshi, T.; Yuan, Y. China’s regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution. Energy Econ. 2015, 49, 239–256. [CrossRef]
Sueyoshi, T.; Yuan, Y. Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations. Energy Econ. 2016, 56, 270–287. [CrossRef]
Sueyoshi, T.; Yuan, Y. Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for social sustainability in China. Energy Econ. 2016, 56, 288–309. [CrossRef]
Sueyoshi, T.; Yuan, Y. Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention. Energy Econ. 2017, 66, 154–166. [CrossRef]
Sueyoshi, T.; Yuan, Y.; Goto, M. A literature study for DEA applied to energy and environment. Energy Econ. 2017, 62, 104–124. [CrossRef]
Sueyoshi, T.; Yuan, Y.; Li, A.; Wang, D. Methodological comparison among Radial, Non-radial and Intermediate approaches for DEA environmental assessment. Energy Econ. 2017, 67, 439–453. [CrossRef]
Szopik-DepczynÌska, K.; Cheba, K.; B Ë› ak, I.; Kiba-Janiak, M.; Saniuk, S.; DembinÌska, I.; Ioppolo, G. The application of relative taxonomy to the study of disproportions in the area of sustainable development of the European Union. Land Use Policy 2017, 68, 481–491. [CrossRef]
Taddeo, R.; Simboli, A.; Ioppolo, G.; Morgante, A. Industrial symbiosis, Networking and innovation: The potential role of innovation poles. Sustainability 2017, 9, 169. [CrossRef]
- The State Council. 2017. Available online: http://www.scio.gov.cn (accessed on 11 March 2017).
Paper not yet in RePEc: Add citation now
- Thore, S.; Kozmetsky, G.; Phillips, F. DEA of Financial Statements Data: The U.S. Computer Industry. J. Prod. Anal. 1994, 5, 229–248. [CrossRef]
Paper not yet in RePEc: Add citation now
Vlontzos, G.; Pardalos, P.M. Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks. Renew. Sustain. Energy Rev. 2017, 76, 155–162. [CrossRef]
Wang, K.; Wei, Y.M. China’s regional industrial energy efficiency and carbon emissions abatement costs. Appl. Energy 2014, 130, 617–631. [CrossRef]
Wang, K.; Wei, Y.M.; Zhang, X. A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? Energy Policy 2012, 46, 574–584. [CrossRef]
Wang, Q.W.; Zhao, Z.Y.; Zhou, P.; Zhou, D.Q. Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach. Econ. Modell. 2013, 35, 283–289. [CrossRef]
Wang, Z.H.; Feng, C.; Zhang, B. An empirical analysis of China’s energy efficiency from both static and dynamic perspectives. Energy 2014, 74, 322–330. [CrossRef]
Wei, C.; Ni, J.L.; Du, L.M. Regional allocation of carbon dioxide abatement in China. China Econ. Rev. 2012, 23, 552–565. [CrossRef]
Wu, F.; Fan, L.W.; Zhou, P.; Zhou, D.Q. Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis. Energy Policy 2012, 49, 164–172. [CrossRef]
- Wu, J.; An, Q.X.; Yao, X.; Wang, B. Environmental efficiency evaluation of industry in China based on a new fixed sum undesirable output data envelopment analysis. J. Clean. Prod. 2014, 74, 96–104. [CrossRef]
Paper not yet in RePEc: Add citation now
Wu, J.; Yin, P.Z.; Sun, J.S.; Chu, J.F.; Liang, L. Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspective. Eur. J. Oper. Res. 2016, 254, 1047–1062. [CrossRef]
Yang, W.C.; Lee, Y.M.; Hu, J.L. Urban sustainability assessment of Taiwan based on data envelopment analysis. Renew. Sustain. Energy Rev. 2016, 61, 341–353. [CrossRef]
Yao, X.; Zhou, H.C.; Zhang, A.Z.; Li, A.J. Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis. Energy Policy 2015, 84, 142–154. [CrossRef]
- Zhang, N.; Choi, Y. A note on the evolution of directional distance function and its development in energy and environmental studies 1997–2013. Renew. Sustain. Energy Rev. 2014, 33, 50–59. [CrossRef]
Paper not yet in RePEc: Add citation now
Zhang, Y.J.; Hao, J.F.; Song, J. The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level. Appl. Energy 2016, 174, 213–223. [CrossRef]
Zhou, P.; Ang, B.W.; Poh, K.L. A survey of data envelopment analysis in energy and environmental studies. Eur. J. Oper. Res. 2008, 189, 1–18. [CrossRef]
Zhou, P.; Sun, Z.R.; Zhou, D.Q. Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis. Energy Econ. 2014, 45, 99–110. [CrossRef]