2979 
2737推动减污降碳协同增效必须坚持“绿水青山就是金山银山”理念。文章在数据包络分析框架下，将大气污染和碳排放纳入3
减污降碳协同推进与中国3E绩效
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参考文献
摘要
2 关伟,许淑婷. 中国能源生态效率的空间格局与空间效应[J]. 地理学报,2015,(6):980−992. DOI:10.11821/dlxb201506011
5 金刚,沈坤荣. 以邻为壑还是以邻为伴?−环境规制执行互动与城市生产率增长[J]. 管理世界,2018,(12):43−55. DOI:10.3969/j.issn.1002-5502.2018.12.005
6 兰天阳. 实证研究我国能源经济环境系统的协调性[J]. 中国管理信息化,2016,(24):132. DOI:10.3969/j.issn.1673-0194.2016.24.084
9 刘华军,李超,彭莹,等. 中国绿色全要素生产率增长的空间不平衡及其成因解析[J]. 财经理论与实践,2018,(5):116−121. DOI:10.3969/j.issn.1003-7217.2018.05.017
12 Chambers R G, Chung Y, Färe R. Benefit and distance functions[J]. Journal of Economic Theory,1996,70(2): 407−419. DOI:10.1006/jeth.1996.0096
13 Cooper W W, Seiford L M, Tone K. Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software[M]. 2nd ed. Boston, MA: Springer, 2007.
14 Fukuyama H, Weber W L. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences,2009,43(4): 274−287. DOI:10.1016/j.seps.2008.12.001
15 Meng M, Qu D L. Understanding the green energy efficiencies of provinces in China: A super-SBM and GML analysis[J]. Energy,2022,239: 121912. DOI:10.1016/j.energy.2021.121912
16 Oh D H. A global Malmquist-Luenberger productivity index[J]. Journal of Productivity Analysis,2010,34(3): 183−197. DOI:10.1007/s11123-010-0178-y
17 Watanabe M, Tanaka K. Efficiency analysis of Chinese industry: A directional distance function approach[J]. Energy Policy,2007,35(12): 6323−6331. DOI:10.1016/j.enpol.2007.07.013
18 Xia F, Xu J T. Green total factor productivity: A re-examination of quality of growth for provinces in China[J]. China Economic Review,2020,62: 101454. DOI:10.1016/j.chieco.2020.101454
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刘华军, 乔列成, 郭立祥. 减污降碳协同推进与中国3E绩效[J]. 财经研究, 2022, 48(9): 4-17.
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