高质量发展下长江经济带生态效率及影响因素

摘要
图/表
参考文献(36)
相关文章 (15)

全文: PDF (913 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要

构建NSUSBM-SFA-NSUSBM-Tobit的4阶段分析框架，基于长江经济带2007~2016年107个城市的面板数据，运用全局DEA技术计算了不可分离假设下城市的生态效率，同时通过3阶段DEA模型，将自然因素引入效率测算中.使用Tobit模型，结合新发展理念，定量分析了高质量发展视角下城市生态效率的影响因素.研究表明，2007~2016年间，不考虑各城市环境差异时，长江经济带综合生态效率均值由0.288增至0.617，增幅114.24%，于2011年跨过了0.4的低质量发展阶段，但低于0.8的高质量发展标准，湖南省增速最快，涨幅213.85%；考虑环境差异后，长江经济带综合生态效率均值由0.150增至0.395，涨幅163.33%，其中上海市增速最快，涨幅311.52%，上海、江苏与浙江的综合效率在大部分年份排名前3位，江西、贵州与云南则排名后3位.创新、城乡协调、政府环境投资、引进外资与推进城镇化均有助于提升城市生态效率.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	曾贤刚
	牛木川

关键词 ：长江经济带, 生态效率, 高质量发展, SBM模型, 三阶段DEA, Tobit回归

Abstract：

The four-stage analysis framework of NSUSBM-SFA-NSUSBM-Tobit was constructed in this paper. Based on the panel data of 107 cities in the Yangtze River economic belt from 2007 to 2016, the global DEA technology was used to calculate the eco-efficiency of cities under the inseparable assumption. Then the three-stage DEA model was used to introduce natural factors. And combined with the new development concept, The Tobit model was used to analyze the influencing factors of urban eco-efficiency. Regardless of the environmental differences in the cities, the average comprehensive ecological efficiency in the Yangtze River economic zone increased from 0.288 to 0.617 in 2007~2016, with an increase of 114.24%. It had crossed the low-quality development stage of 0.4, but was still lower than the high-quality development standard of 0.8 in 2016. The ecological efficiency of Hunan Province grew fastest, with an increase of 213.85%. Considering the environmental differences, the average comprehensive ecological efficiency of the Yangtze River economic zone increased from 0.150 to 0.395 in 2007~2016, with an increase of 163.33%. Shanghai grew fastest, with an increase of 311.52%. Shanghai, Jiangsu and Zhejiang ranked the top three in most years, while Jiangxi, Guizhou and Yunnan ranked the bottom three. Innovation, urban-rural coordination, government environmental investment, foreign investment and urbanization all contributed to eco-efficiency.

Key words： Yangtze River Economic Belt ecological efficiency high quality development SBM model three-stage DEA Tobit regression

收稿日期: 2019-07-21

PACS:

X196

基金资助:

中国人民大学科学研究基金（中央高校基本科研业务费专项资金资助）项目成果（19XNH042）

通讯作者: 曾贤刚,教授,zengxg@ruc.edu.cn E-mail: zengxg@ruc.edu.cn

作者简介: 曾贤刚(1972-),男,江西九江人,教授,博士,研究方向为环境与资源经济学.发表论文100余篇.

引用本文:

曾贤刚, 牛木川. 高质量发展下长江经济带生态效率及影响因素[J]. 中国环境科学, 2020, 40(2): 906-918. ZENG Xian-gang, NIU Mu-chuan. Measurement and influence factors of ecological efficiency of the Yangtze River economic belt under high quality development conditions. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(2): 906-918.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2020/V40/I2/906

[1]	Tone K, Tsutsui M. Applying an efficiency measure of desirable and undesirable outputs in dea to U.S. electric utilities[J]. Social Science Electronic Publishing, 2011,4(2):236-249.
[2]	王兵,吴延瑞,颜鹏飞.中国区域环境效率与环境全要素生产率增长[J]. 经济研究, 2010,5(45):95-109. Wang B, Wu Y R, Yan P F. Environmental efficiency and environmental total factor productivity growth in China's regional economies[J]. Economic Research Journal, 2010,5(45):95-109.
[3]	郭炳南,卜亚.长江经济带城市生态福利绩效评价及影响因素研究——以长江经济带110个城市为例[J]. 企业经济, 2018,8(37):30-37. Luo B N, Bu Y. Study on the performance evaluation and influencing factors of urban ecological welfare in the Yangtze River economic belt:a case study of 110cities in the Yangtze River economic belt[J]. Enterprise Economy, 2018,8(37):30-37.
[4]	刘应元,庹婧.基于超效率DEA模型的长江经济带生态效率研究[J]. 特区经济, 2019,2:112-115. Liu Y Y, Tuo J. Study on ecological efficiency of the Yangtze River economic belt based on super efficiency DEA model[J]. Special Zone Economy, 2019,2:112-115.
[5]	罗艳.基于DEA方法的指标选取和环境效率评价研究[D]. 合肥:中国科学技术大学, 2012. Luo Y. DEA-based research on indicator selection and environmental performance measurement[D]. Hefei:University of Science and Technology of China, 2012.
[6]	O Donnell C J, Rao D S P, Battese G E. Metafrontier frameworks for the study of firm-level efficiencies and technology ratios[J]. Empirical Economics, 2008,2(34):231-255.
[7]	钱丽,肖仁桥,陈忠卫.我国工业企业绿色技术创新效率及其区域差异研究——基于共同前沿理论和DEA模型[J]. 经济理论与经济管理, 2015,1:26-43. Qian L, Xiao R Q, Chen Z W. Research on green technological innovation efficiency and regional differences of industrial enterprises in China:based on common frontier theory and DEA model[J]. Economic Theory and Business Management, 2015,1:26-43.
[8]	Fried H O, Lovell C A K, Schmidt S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002,1/2(17):157-174.
[9]	吴磊,熊英.长江经济带生态效率测评及提升模式构建[J]. 生态经济, 2018,12(34):166-172+177. Wu L, Xiong Y. Measurement and construction of improvement model of ecological effciency in Yangtze River economic belt[J]. Ecological Economy, 2018,12(34):166-172+177.
[10]	周五七.碳排放约束的中国工业生产率增长及其影响因素[D]. 武汉:华中科技大学, 2013. Zhou W Q. China's industrial productivity growth and its influencing factors under the constraint of carbon emissions[D]. Wuhan:Huazhong University of Science and Technology, 2013.
[11]	卢丽文,宋德勇,黄璨.长江经济带城市绿色全要素生产率测度——以长江经济带的108个城市为例[J]. 城市问题, 2017,1:61-67. Lu L W, Song D Y, Huang C. Measurement of green total factor productivity of cities in the Yangtze River economic belt:a case study of 108cities in the Yangtze River economic belt[J]. Urban Problems, 2017,1:61-67.
[12]	Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001,3(130):498-509.
[13]	杨红亮,史丹,肖洁.自然环境因素对能源效率的影响——中国各地区的理论节能潜力和实际节能潜力分析[J]. 中国工业经济, 2009,4:73-84. Yang H L, Shi D, Xiao J. Influence of environmental factors on energy eiffcieney-analysis on regional theoretic energy saving potential and real energy saving potential[J]. China Industrial Economics, 2009,4:73-84.
[14]	Oh D H. A global Malmquist-Luenberger productivity index[J]. Journal of Productivity Analysis, 2010,3(34):183-197.
[15]	涂正革.环境、资源与工业增长的协调性[J]. 经济研究, 2008,2:93-105. Tu Z G. The coordination of industrial growth with environment and resource[J]. Economic Research Journal, 2008,2:93-105.
[16]	曾贤刚.中国区域环境效率及其影响因素[J]. 经济理论与经济管理, 2011,10:103-110. Zeng X G. Environmental efficiency and its determinants across Chinese regions[J]. Economic Theory and Business Management, 2011,10:103-110.
[17]	程丹润,李静.环境约束下的中国省区效率差异研究:1990~2006[J]. 财贸研究, 2009,1(20):13-17. Cheng D R, Li J. Eco-efficiency differences across provinces in China in the presence of environmental constraints:1990~2006[J]. Finance and Trade Research, 2009,1(20):13-17.
[18]	张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952~2000[J]. 经济研究, 2004,10:35-44. Zhang J, Wu G Y, Zhang J P. The estimation of China's provincial capital stock:1952~2000[J]. Economic Research Journal, 2004,10:35-44.
[19]	杨建芳,龚六堂,张庆华.人力资本形成及其对经济增长的影响——一个包含教育和健康投入的内生增长模型及其检验[J]. 管理世界, 2006,5:10-18. Yang J F, Gong L T, Zhang Q H. Human capital formation land its effects on economic growth[J]. Management World, 2006,5:10-18.
[20]	汪伟.人口老龄化、养老保险制度变革与中国经济增长——理论分析与数值模拟[J]. 金融研究, 2012,10:29-45. Wang W. Aging population, reform of endowment insurance system and China's economic growth:theoretical analysis and numerical simulation[J]. Journal of Financial Research, 2012,10:29-45.
[21]	耿志祥,孙祁祥,郑伟.人口老龄化、资产价格与资本积累[J]. 经济研究, 2016,9(51):29-43. Geng Z X, Sun Q X, Zheng W. Population aging, asset price and capital accumulation[J]. Economic Research Journal, 2016,9(51):29-43.
[22]	张蕊,李根,李安林,等.供给侧改革背景下我国制造业增长模式的统计考察[J]. 统计与决策, 2018,17(34):141-145. Zhang R, Li G, Li A L, et al. A statistical investigation of China's manufacturing industry growth model under the background of supply-side reform[J]. Statistics & Decision, 2018,17(34):141-145.
[23]	国家统计局.中国国内生产总值核算历史资料1952~1995[M]. 大连:东北财经大学出版社, 1997. National Bureau of Statistics. The gross domestic product of China 1952-1995[M]. Dalian:Northeastern University Press, 1997.
[24]	国家统计局.中国统计年鉴[M].北京:中国统计出版社, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017. National Bureau of Statistics. China statistical yearbook[M]. Beijing:China Statistics Press, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017.
[25]	国家统计局.中国城市统计年鉴[M]. 北京:中国统计出版社, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017. National Bureau of Statistics. China city statistical yearbook[M]. Beijing:China Statistics Press, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017.
[26]	郭文.基于环境规制、空间经济学视角的中国区域环境效率研究[D]. 南京:南京航空航天大学, 2016. Guo W. Research on China's regional environmental efficiency based on perspectives of spatial economics and environmental regulation[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2016.
[27]	罗登跃.三阶段DEA模型管理无效率估计注记[J]. 统计研究, 2012,4(29):104-107. Luo D Y. A note on estimating managerial inefficiency of three-stage DEA model[J]. Statistical Research, 2012,4(29):104-107.
[28]	陈巍巍,张雷,马铁虎,等.关于三阶段DEA模型的几点研究[J]. 系统工程, 2014,9(32):144-149. Chen W W, Zhang L, Ma T H, et al. Research on three-stage DEA model[J]. Systems Engineering, 2014,9(32):144-149.
[29]	金碚.关于"高质量发展"的经济学研究[J]. 中国工业经济, 2018, 4:5-18. Jin B. Study on the "high-quality development" economics[J]. China Industrial Economics, 2018,4:5-18.
[30]	李金昌,史龙梅,徐蔼婷.高质量发展评价指标体系探讨[J]. 统计研究, 2019,1(36):4-14. Li J C, Shi D M, Ge A T. Probe into the assessment indicator system on high-quality development[J]. Statistical Research, 2019,1(36):4-14.
[31]	吕薇.探索体现高质量发展的评价指标体系[J]. 中国人大, 2018,11:23-24. Lv W. Exploring the evaluation index system embodying high quality development[J]. The people's congress of China, 2018,11:23-24.
[32]	Mlachila M, Tapsoba R, Tapsoba S J A. A quality of growth index for developing countries:a proposal[J]. Social Indicators Research, 2017,2(134):675-710.
[33]	徐瑞慧.高质量发展指标及其影响因素[J]. 金融发展研究, 2018, 10:36-45. Xu R H. Constructing quality of growth indices for China and determinants analysis[J]. Journal of Financial Development Research, 2018,10:36-45.
[34]	国家统计局.中国环境统计年鉴[M]. 北京:中国统计出版社, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017. National Bureau of Statistics. China Statistical Yearbook on Environment[M]. Beijing:China Statistics Press, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017.
[35]	曾贤刚.中国特色社会主义生态经济体系研究[M]. 北京:中国环境出版集团, 2019:10. Zeng X G. Study on the ecological economic system of socialism with Chinese characteristics[M]. Beijing:China Environmental Science Press, 2019:6.
[36]	曾贤刚,牛木川.高质量发展条件下中国城市环境效率评价[J]. 中国环境科学, 2019,39(6):2667-2677. Zeng X G, Niu M C. Evaluation of urban environmental efficiency in China under high quality development conditions[J]. China Environmental Science, 2019,39(6):2667-2677.