基于SBM-Malmquist的长三角城市群绿色发展效率测度与评价

doi:10.14088/j.cnki.issn0439-8114.2022.09.035

湖北农业科学 ›› 2022, Vol. 61 ›› Issue (9): 180-185.doi: 10.14088/j.cnki.issn0439-8114.2022.09.035

基于SBM-Malmquist的长三角城市群绿色发展效率测度与评价

董璐芸

河海大学公共管理学院,南京 211100

收稿日期:2021-11-06 出版日期:2022-05-10 发布日期:2022-05-26
作者简介:董璐芸（1998-）,女,河北廊坊人,在读硕士研究生,研究方向为资源与环境管理,（电话）15850681267（电子信箱）1029048296@qq.com。

Evaluation and analysis of green development efficiency in Yangtze River Delta urban agglomeration based on SBM-Malmquist

DONG Lu-yun

School of Public Administration, Hohai University, Nanjing 211100, China

Received:2021-11-06 Online:2022-05-10 Published:2022-05-26

摘要/Abstract

摘要： 利用熵值法、SBM-Malmquist模型对2005—2018年长三角核心城市群绿色发展效率及全要素生产率进行了评价,并检验了其收敛性。结果表明,样本期间长三角城市群整体的绿色发展效率较高,主要受技术进步的影响,总体呈现上升趋势,区域内总体差距在逐年缩小,安徽省绿色发展水平总体落后于区域内其他省市;区域内城市群间绿色发展效率不均衡,各省份内核心城市与外围城市之间的地域差异较为明显。只有推动长三角地区绿色发展效率同步提升,才实现区域绿色一体化发展。

关键词: 长三角城市群, 绿色发展效率, SBM-Malmquist, 收敛性检验

Abstract: This paper used the entropy method and SBM-Malmquist model to evaluate the green development efficiency and total factor productivity of Yangtze River Delta core urban agglomeration from 2005 to 2018, and tested its convergence. The results showed that during the sample period, the overall green development efficiency of the Yangtze River Delta urban agglomeration was relatively high.It showed an upward trend under the influence of technological progress, and the overall gap within the region was narrowing year by year. And the green development level of Anhui province was generally behind other provinces and cities in the region. The green development efficiency of the urban agglomeration in the region was not balanced, and the core cities and peripheral cities in each province were different. The regional differences between them were obvious. The development of regional green integration can be realized by promoting the synchronous improvement of the efficiency of green development in the Yangtze River Delta region.

Key words: Yangtze River Delta urban agglomeration, green development efficiency, SBM-Malmquist, test of convergence

中图分类号:

F205

董璐芸. 基于SBM-Malmquist的长三角城市群绿色发展效率测度与评价[J]. 湖北农业科学, 2022, 61(9): 180-185.

DONG Lu-yun. Evaluation and analysis of green development efficiency in Yangtze River Delta urban agglomeration based on SBM-Malmquist[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(9): 180-185.

参考文献

[1] 杨志江,文超祥. 中国绿色发展效率的评价与区域差异[J]. 经济地理,2017,37(3):10-18.
[2] 杨龙,胡晓珍. 基于DEA的中国绿色经济效率地区差异与收敛分析[J]. 经济学家,2010(2):46-54.
[3] ZHAO T,YANG Z S.Towards green growth and management: Relative efficiency and gaps of Chinese cities[J]. Renewable and sustainable energy reviews,2017(80):481-494.
[4] CHARNES A, COOPER W W, PHODES E.Measuring the efficiency of decision making units[J]. European journal of operational research, 1978,2(6):429-444.
[5] 魏权龄. 评价相对有效性的DEA方法[M]. 北京:中国人民大学出版社,1988.
[6] TONE K.A slacks-based mesure of efficiency in data encelopment analysis[J]. European journal of operational research,2001,130(3):498-509.
[7] 索飞. 长三角城市群生态环境质量水平及影响因素研究[D]. 合肥:安徽大学,2017.
[8] SEIFROD L M, ZHU J.Modeling undesirable factors in efficiency evaluation[J]. European journal of operational research, 2002, 142(1): 16-20.
[9] FÄRE R, GROSSKOPFS, LOVELLCAK, et al. Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach[J]. The review of economics and statistics, 1989(71):90-98.
[10] 傅春,欧阳欢蕤,赵雪茹. 基于DEA及Malmquist指数模型的江西省绿色发展效率测度与评价[J]. 生态经济,2020,36(6):51-57,172.
[11] GIDDINGS B,HOPWOOD B,O’BRIEN G. Environment,economy and society:Fitting them together into sustainable development[J]. Sustainable development,2002,10(4):187-196.
[12] 欧阳欢蕤. 中国绿色发展的区域特征及其创新驱动作用研究[D]. 南昌:南昌大学,2020.
[13] 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.
[14] 马占新. 数据包络分析模型与方法[M]. 北京:科学出版社, 2010.
[15] 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.
[16] 刘玲利. 科技资源配置理论与配置效率研究[D]. 长春:吉林大学,2007.
[17] 郭文,赵天燕. 中国区域环境效率研究[M]. 北京:中国财富出版社,2018.

基于SBM-Malmquist的长三角城市群绿色发展效率测度与评价

Evaluation and analysis of green development efficiency in Yangtze River Delta urban agglomeration based on SBM-Malmquist

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