[1] 中华人民共和国国家统计局.中国统计年鉴[M].北京:中国统计出版社,2021. [2] British Petroleum(BP)[R]. BP Statistical Review of World Energy 2021, 2021: 1-15. [3] 蔡博峰,曹丽斌,雷宇,王灿,张立,朱建华,李明煜,杜梦冰,吕晨,蒋含颖,宁淼,王金南.中国碳中和目标下的二氧化碳排放路径[J].中国人口·资源与环境,2021,31(1):7-14. [4] 中国节能协会节能服务产业委员会.[R]“十三五”节能服务产业发展报告,2021: 10-15. [5] Li Y, Qiu Y, Wang Y D. Explaining the contract terms of energy performance contracting in China: the importance of effective financing[J]. Energy Economics, 2014, 45: 401-411. [6] Zheng S, Wang R, Mak T M W, Hsu S C, Tsang D C W. How energy service companies moderate the impact of industrialization and urbanization on carbon emissions in China?[J]. Science of the Total Environment, 2021, 751: 141610. [7] Zheng S, Alvarado V, Xu P, Leu S Y, Hsu S H. Exploring spatial patterns of carbon dioxide emission abatement via energy service companies in China[J]. Resources, Conservation and Recycling, 2018, 137: 145-155. [8] Liu G, Zheng S, Xu P, Zhuang T. An ANP-SWOT approach for ESCOs industry strategies in Chinese building sectors[J]. Renewable & Sustainable Energy Reviews, 2018, 93: 90-99. [9] 魏平,亓磊.财产保险公司技术效率及其影响因素实证研究[J].数理统计与管理,2014,33(4):691-704. [10] Zeng S, Jiang C, Ma C, Su B. Investment efficiency of the new energy industry in China[J]. Energy Economics, 2018, 70: 536-544. [11] 刘超,傅若瑜,李佳慧,周文文.基于DEA-Tobit方法的人工智能行业上市公司融资效率研究[J].运筹与管理,2019,28(6):144-152. [12] 孟韬,徐广林.基于三阶段DEA的独角兽上市企业创新效率评价[J].运筹与管理,2021,30(10):206-212. [13] 梅国平,龚雅玲,万建香,季凯文.基于三阶段DEA模型的华东地区物流产业效率测度研究[J].管理评论,2019,31(10):234-241. [14] 杨国梁.DEA模型与规模收益研究综述[J].中国管理科学,2015,23(S1):64-71. [15] 刘广斌,李建坤.基于三阶段DEA模型的我国科普投入产出效率研究[J].中国软科学,2017(5):139-148. [16] 陈晓红,易国栋,刘翔.基于三阶段SBM-DEA模型的中国区域碳排放效率研究[J].运筹与管理,2017,26(3):115-122. [17] Song Z, Zhang N. Research on green innovation efficiency of listed chinese energy companies based on triple bottom line[J]. Complexity, 2020, 2020: 3450471. [18] Feng M, Li X. Evaluating the efficiency of industrial environmental regulation in China: a three-stage data envelopment analysis approach[J]. Journal of Cleaner Production, 2020, 242: 118535. [19] Chen Y, Miao J, Zhu Z. Measuring green total factor productivity of China’s agricultural sector: a three-stage SBM-DEA model with non-point source pollution and CO2 emissions[J]. Journal of Cleaner Production, 2021, 318: 128543. [20] Fried H O, Lovell C A K, Schmidt S S, Yaisawarng S. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002, 17(1-2): 157-174. [21] Chen X, Wang Y. Research on financing efficiency of China’s strategic emerging industries based on super efficiency DEA and tobit model[J]. International Journal of Emerging Markets, 2022, 17(2): 485-504. [22] 张涛,刘宽斌,熊雪.中国国有和民营制造业企业生产效率对比研究[J].数量经济技术经济研究,2018,35(6):78-94. [23] Lu L, Zhang J, Yang F, Zhang Y. Evaluation and prediction on total factor productivity of Chinese petroleum companies via three-stage DEA model and time series neural network model[J]. Sustainable Computing-Informatics & Systems, 2020, 27: 100397. [24] 中国节能协会节能服务产业委员会[R].2019节能服务产业发展报告,2020:1-13. |