An Empirical Study on Environmental Efficiency Measurements and Influencing Factors

[l] Ma XM, Zhang C, Xiong SQ, Tian YS. Environmental efficiency and factors analysis of industry sector in china: an empirical analysis based on super-SBM. Ecol Economy. 2018;34(11):96-102. http://www.cnki.com.cn/Article/CJFDTOTAL-STJJ201811018.htm.Search in Google Scholar

[2] Lin RJ. Using fuzzy DEMATEL to evaluate the green supply chain management practices. J Clean Prod. 2013;40:32-9. DOI: 10.1016/j.jclepro.2011.06.010.10.1016/j.jclepro.2011.06.010Search in Google Scholar

[3] Chen J, Cheng JH, Sheng, Dai S. Regional eco-innovation in China: an analysis of eco-innovation levels and influencing factors. J Clean Prod. 2017;153:1-14. DOI: 10.1016/j.jclepro.2017.03.141.10.1016/j.jclepro.2017.03.141Search in Google Scholar

[4] Guan JC, Chen KH. Measuring the innovation production process: a cross-region empirical study of China’s high-tech innovation. Technovation. 2010;30:348-58. DOI: 10.3923/itj.2011.1484.1497.10.3923/itj.2011.1484.1497Search in Google Scholar

[5] Sun LY, Miao CL, Li Y. Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method. Ecol Indicators. 2017;73:554-8. DOI: 10.1016/j.ecolind.2016.10.018.10.1016/j.ecolind.2016.10.018Search in Google Scholar

[6] Liang XD, Si DY, Zhang XL. Regional sustainable development analysis based on information entropy-Sichuan province as an example. Int J Environ Res Public Health. 2017;14(10):1219. DOI: 10.3390/ijerph14101219.10.3390/ijerph14101219566472029027982Search in Google Scholar

[7] Sun P, Song LF. Calculation of China's marine environmental efficiency based on undesired super efficiency-Malmquist Model. China Population, Resour Environ. 2019;29(02):43-51. DOI: 10.12062/cpre.20180722.Search in Google Scholar

[8] Chen L, Wang YM. Environmental efficiency of China's transportation industry from the perspective of technological differences. J Transport Systems Eng Inform Technol. 2018;18(06):22-7. DOI: 10.16097/j.cnki.1009-6744.2018.06.004.Search in Google Scholar

[9] Li L, Li JS, Jiang ZL. Evolution and genetic mechanism of resource environmental efficiency pattern in central China based on SBM-DEA model. Resources and Environment in the Yangtze Basin. 2017;26(11):1761-73. DOI: 10.11870/cjlyzyyhj201711005.Search in Google Scholar

[10] Guo SD, Tong M, Guo J. Measurement and influencing factors of inter-provincial real environmental efficiency based on three-stage DEA model. China Population, Resour Environ. 2018;28(3):106-16. DOI: 10.12062/cpre.20170917.Search in Google Scholar

[11] Zou B, Elke M, Hansen M, Kafle N. Evaluating air carrier fuel efficiency in the US airline industry. Transportation Res Part A: Policy Practice. 2014;59(1):306-30. DOI: 10.1016/j.tra.2013.12.003.10.1016/j.tra.2013.12.003Search in Google Scholar

[12] Tone K. Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. Tokyo: National Graduate Institute for Policy Studies, 2003. Available from: https://www.researchgate.net/publication/284047010_Dealing_with_undesirable_outputs_in_DEA_a_Slacks-Based_Measure_SBM_approach.Search in Google Scholar

[13] Cui Q, Li Y. Airline energy efficiency measures considering carbon abatement: A new strategic framework. Transportation Res Part D. 2016;49:246-58. DOI: 10.1016/j.trd.2016.10.003.10.1016/j.trd.2016.10.003Search in Google Scholar

[14] Chang YT, Park HS, Jeong JB. Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach. Transportation Res Part D. 2014;27(03):46-50. DOI: 10.1016/j.trd.2013.12.013.10.1016/j.trd.2013.12.013Search in Google Scholar

[15] Jain RK, Natarajan R. A DEA study of airlines in India. Asia Pacific Manage Rev. 2015;20(4):285-92. DOI: 10.1016/j.apmrv.2015.03.004.10.1016/j.apmrv.2015.03.004Search in Google Scholar

[16] Zhao YZ, Zhou JW, Yan HB. Research on airlines enterprises energy efficiency evaluation under EU ETS: Based on a non-radial DEA windows model. Manage Rev. 2015;27(05):38-47. DOI: 10.14120/j.cnki.cn11-5057/f.2015.05.005.Search in Google Scholar

[17] Su WZ, Li H. The industrial environmental efficiency and its influencing factors of “One Belt and One Road”. Sci Technol Progress Policy. 2018;35(19):155-60. DOI: 10.6049/kjjbydc.2018050784.Search in Google Scholar

[18] Hong S, Zhang A. An efficiency study of airlines and air cargo/passenger divisions: a DEA approach. World Rev Int Transportation Res. 2010;3(1/2):137-49. DOI: 10.1504/WRITR.2010.031584.10.1504/WRITR.2010.031584Search in Google Scholar

[19] Zhang JF, Fang H. Energy efficiency of airlines and its influencing factors: A comparison between China and the United States. Resources, Conserv Recycling. 2017;125(4):1-8. DOI: 10.1016/j.resconrec.2017.05.007.10.1016/j.resconrec.2017.05.007Search in Google Scholar

[20] Christoph PK, Javier CH, Pablo DR, Barroso C, Javier F. Diversity of eco-innovations: a quantitative approach. J Cleaner Prod. 2017;166:1494-506. DOI: 10.1016/j.jclepro.2017.07.241.10.1016/j.jclepro.2017.07.241Search in Google Scholar

[21] Żuk O, Kosior G, Oloś G. Characteristics of acute toxicity dynamics of selected toxicants on aquatic crustaceans. Ecol Chem Eng S. 2019;26(2):397-408. DOI: 10.1515/eces-2019-0028.10.1515/eces-2019-0028Search in Google Scholar

[22] Sołowski G, Konkol I, Cenian A. Perspectives of hydrogen production from corn wastes in Poland by means of dark fermentation. Ecol Chem Eng S. 2019;26(2):255-263. DOI: 10.1515/eces-2019-0031.10.1515/eces-2019-0031Search in Google Scholar

[23] Bhore SJ. Paris agreement on climate change: a booster to enable sustainable global development and beyond. Int J Environ Res Public Health. 2016;13:1134. DOI: 10.3390/ijerph13111134.10.3390/ijerph13111134512934427854248Search in Google Scholar

[24] Marszałek M, Kowalski Z, Makara A. The possibility of contamination of water-soil environment as a result of the use of pig slurry. Ecol Chem Eng S. 2019;26(2):313-30. DOI: 10.1515/eces-2019-0022.10.1515/eces-2019-0022Search in Google Scholar

[25] Huang G, Ali S. Local sustainability and gender ratio: evaluating the impacts of mining and tourism on sustainable development in Yunnan, China. Int J Environ Res Public Health. 2015;12:927-39. DOI: 10.3390/ijerph120100927.10.3390/ijerph120100927430690225607602Search in Google Scholar

[26] Ali M, Cantner U, Roy I. Knowledge spillovers through FDI and trade: the moderating role of quality-adjusted human capital. J Evolutionary Economics. 2015;26(4):1-32. DOI: 10.1007/s00191-016-0462-8.10.1007/s00191-016-0462-8Search in Google Scholar

[27] Ghosh D, Shah J. A comparative analysis of greening policies across supply chain structures. Int J Prod Economics. 2012;135(2):568-83. DOI: 10.1016/j.ijpe.2011.05.027.10.1016/j.ijpe.2011.05.027Search in Google Scholar

[28] Ghosh D, Shah J. Supply chain analysis under green sensitive consumer demand and cost sharing contract. Int J Prod Economics. 2015;164:319-29. DOI: 10.1016/j.ijpe.2014.11.005.10.1016/j.ijpe.2014.11.005Search in Google Scholar

[29] Esfahbodi A, Zhang Y, Watson G. Sustainable supply chain management in emerging economies: Trade-offs between environmental and cost performance. Int J Prod Economics. 2016;181:350-66. DOI: 10.1016/j.ijpe.2016.02.013.10.1016/j.ijpe.2016.02.013Search in Google Scholar