[1] Zhou C, Gong M, Xu Z, et al. Urban scaling patterns for sustainable development goals related to water, energy, infrastructure, and society in China[J]. Resources, Conservation and Recycling,2022(185):106443
[2] WBCSD. Eco-efficient Leadership for Improved Economic and Environmental Performance[R]. Geneva: World Business Council for Sustainable Development, 1996
[3] Wang Y, Ye H, Qunwei W, et al. Cleaner production vs end-of-pipe treatment: Evidence from industrial SO2 emissions abatement in China[J]. Journal of Environmental Management, 2021(277):111429
[4] 魏后凯,李玏,年猛. “十四五”时期中国城镇化战略与政策[J]. 中共中央党校(国家行政学院)学报,2020(4):5-21
[5] 邵帅,刘丽雯. 中国水污染治理的政策效果评估——来自水生态文明城市建设试点的证据[J]. 改革,2023(2):1-18
[6] 国家统计局. 能源转型持续推进节能降耗成效显著——党的十八大以来经济社会发展成就系列报告之十四[EB/OL],国家统计局网站(http://www.stats.gov.cn/xxgk/jd/sjjd2020/202210/t20221008_1888971.html),2022-10-08
[7] Zhou Z, Wu H, Song P. Measuring the resource and environmental efficiency of industrial water consumption in China: A non-radial directional distance function[J]. Journal of Cleaner Production,2019(240):118169
[8] Song M, Zhao X, Shang Y. The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments[J]. Resources, Conservation and Recycling,2020(157):104777
[9] Huang Y, Li L, Yu Y. Do urban agglomerations outperform non-agglomerations? A new perspective on exploring the eco-efficiency of Yangtze River Economic Belt in China[J]. Journal of Cleaner Production,2018(202):1056-1067
[10] Beltrán-Esteve M, Gómez-Limón J A, Picazo-Tadeo A J, et al. A metafrontier directional distance function approach to assessing eco-efficiency[J]. Journal of Productivity Analysis,2014(1):69-83
[11] Fujii H, Managi S. Determinants of eco-efficiency in the Chinese industrial sector[J]. Journal of Environmental Sciences,2013(25):20-26
[12] Wang Q, Su B, Zhou P, et al. Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach[J]. Energy Economics,2016(4):475-482
[13] Oh D. A metafrontier approach for measuring an environmentally sensitive productivity growth index[J]. Energy Economics,2010(1):146-157
[14] Maziotis A, Molinos-Senante M, Sala-Garrido R. Assesing the impact of quality of service on the productivity of water industry: A Malmquist-Luenberger approach for England and Wales[J]. Water Resources Management,2017(8):2407-2427
[15] Beltrán-Esteve M, Giménez V, Picazo-Tadeo A J. Environmental productivity in the European Union: A global Luenberger-metafrontier approach[J]. Science of The Total Environment,2019(692):136-146
[16] Liu S, Peng G, Sun C, et al. Comparison of improving energy use and mitigating pollutant emissions from industrial and non-industrial activities: Evidence from a variable-specific productivity analysis framework[J]. Science of The Total Environment,2022(806):151279
[17] Zhang Y, Sun Y, Huang J. Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment[J]. Energy Policy,2018(115):119-130
[18] Tang L, Li K. A comparative analysis on energy-saving and emissions-reduction performance of three urban agglomerations in China[J]. Journal of Cleaner Production,2019(220):953-964
[19] Liu S, Liu S, Song L, et al. Measurement and convergence test of green economic efficiency of the Yangtze River Economic Belt under different spatial network correlation[J]. Frontiers in Environmental Science,2022(10):828207
[20] Zhu Y, Liang D, Liu T. Can China’s underdeveloped regions catch up with green economy? A convergence analysis from the perspective of environmental total factor productivity[J]. Journal of Cleaner Production,2020(255):120216
[21] Cheng Z, Li L, Liu J. Research on China’s industrial green biased technological progress and its energy conservation and emission reduction effects[J]. Energy Efficiency,2021(5):1-20
[22] Lin B, Sai R. A Multi factor Malmquist CO2 Emission Performance Indices: Evidence from Sub Saharan African Public Thermal Power plants[J]. Energy,2021(223):120081
[23] Pastor J T, Lovell C A, Aparicio J. Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist Productivity Index[J]. European Journal of Operational Research,2020(1):222-230
[24] Fukuyama H, Weber W L. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences,2009(4):274-287
[25] Zhou P, Ang B W, Wang H. Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach[J]. European Journal of Operational Research,2012(3):625-635
[26] Chen P, Xie R, Lu M, et al. The impact of the spatio-temporal neighborhood effect on urban eco-efficiency in China[J]. Journal of Cleaner Production,2021(285):124860
[27] Cheng Y, Shao T, Lai H, et al. Total-factor eco-efficiency and its influencing factors in the Yangtze River Delta Urban Agglomeration[J]. International Journal of Environmental Research and Public Health,2019(20):3814
[28] Chen P, Xie R, Lu M. “Resource conservation” or “environmental friendliness”: How do urban clusters affect total-factor ecological performance in China?[J]. International Journal of Environmental Research and Public Health,2020(12):4361
[29] Chen Y, Wang M, Feng C, et al. Total factor energy efficiency in Chinese manufacturing industry under industry and regional heterogeneities[J]. Resources, Conservation and Recycling,2021(168):105255
[30] Yu Y, Peng C, Li Y. Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China[J]. Technological Forecasting and Social Change,2018(144):456-465
[31] Zhang N, Choi Y. Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis[J]. Energy Economics,2013(40):549-559
[32] O Donnell C J, Rao D S, Battese G E. Metafrontier frameworks for the study of firm-level efficiencies and technology ratios[J]. Empirical Economics,2008(2):231-255
[33] Yu M, See K F, Hsiao B. Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units[J]. European Journal of Operational Research,2022(1):254-276
[34] Cheng Z, Li L, Liu J, et al. Total-factor carbon emission efficiency of China’s provincial industrial sector and its dynamic evolution[J]. Renewable and Sustainable Energy Reviews,2018(94):330-339
[35] 尹向飞,欧阳峣. 中国全要素生产率再估计及不同经济增长模式下的可持续性比较[J]. 数量经济技术经济研究,2019(8):72-91
[36] Zhou X, Xu Z, Xi Y. Energy conservation and emission reduction (ECER): System construction and policy combination simulation[J]. Journal of Cleaner Production,2020(267):121969
[37] 杨骞,王珏,李超,等. 中国农业绿色全要素生产率的空间分异及其驱动因素[J]. 数量经济技术经济研究,2019(10):21-37
[38] Färe R, Grosskopf S, Norris M, et al. Productivity growth, technical progress, and efficiency change in industrialized countries[J]. The American Economic Review,1994(1):66-83
[39] Chambers. Productivity growth in APEC countries[J]. Pacific Economic Review,1996(3):181-190
[40] Chung Y H, Färe R, Grosskopf S. Productivity and undesirable outputs: A directional distance function approach[J]. Journal of Environmental Management,1997(3):229-240
[41] Beltrán-Esteve M, Giménez V, Picazo-Tadeo A J. Environmental productivity in the European Union: A global Luenberger-metafrontier approach[J]. Science of The Total Environment, 2019(692):136-146
[42] 蔡跃洲,付一夫. 全要素生产率增长中的技术效应与结构效应——基于中国宏观和产业数据的测算及分解[J]. 经济研究,2017(1):72-88
[43] 刘华军,李超,彭莹. 中国绿色全要素生产率的地区差距及区域协同提升研究[J]. 中国人口科学,2018(4):30-41
[44] 李江龙,徐斌. “诅咒”还是“福音”:资源丰裕程度如何影响中国绿色经济增长?[J]. 经济研究,2018(9):151-167
[45] Yu Y, Huang J, Zhang N. Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective[J]. Ecological Modelling,2019(402):1-17
[46] Sun J, Wang Z, Li G. Measuring emission-reduction and energy-conservation efficiency of Chinese cities considering management and technology heterogeneity[J]. Journal of Cleaner Production,2018(175):561-571
[47] Huang Y, Li L, Yu Y. Does urban cluster promote the increase of urban eco-efficiency? Evidence from Chinese cities[J]. Journal of Cleaner Production,2018(197):957-971
[48] Shang H, Jiang L, Pan X, et al. Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities[J]. Energy Economics,2022(114):106307
[49] Young A. Gold into Base Metals: Productivity growth in the People’s Republic of China during the reform period[J]. Journal of Political Economy,2003(6):1220-1261
[50] 单豪杰. 中国资本存量K的再估算:1952~2006年[J]. 数量经济技术经济研究,2008(10):17-31
[51] Bai Y, Deng X, Jiang S, et al. Exploring the relationship between urbanization and urban eco-efficiency: Evidence from prefecture-level cities in China[J]. Journal of Cleaner Production,2018(195):1487-1496
[52] 李强,王洪川,胡鞍钢. 中国电力消费与经济增长——基于省际面板数据的因果分析[J]. 中国工业经济,2013(9):19-30