Financial Development, Environmental Regulation and Green Total Factor Productivity—An Empirical Analysis Based on Spatial Durbin Model

Abstract

Abstract: The panel data of 30 provinces, municipalities directly under the central government and autonomous regions in mainland China from 2006 to 2015 were selected to calculate green total factor productivity using DEA-BCC model and entropy method. Spatial durbin model was adopted to study the spatial spillover effect of financial development and environment on green total factor productivity. The results show that:(1)there is a significant spatial spillover effect of green total factor productivity in Chinese provinces. (2)single financial development and environmental regulation can promote green total factor productivity to some extent;(3)at the present stage, the mode of "financial development and environmental regulation" combined inhibits green total factor productivity. Therefore, it is necessary to deepen the reform of financial system and optimize the effect of financial development. Improve the environmental regulation system and make reasonable investment in pollution control; Formulate appropriate environmental regulation policies and consider financial development.

Key words: financial development, environmental regulation, green total factor productivity, spatial durbin model

CLC Number:

NI Ying, CHEN Bai-yun, WANG Yi-wen. Financial Development, Environmental Regulation and Green Total Factor Productivity—An Empirical Analysis Based on Spatial Durbin Model[J]. Journal of Guizhou University of Finance and Economics, 2020(03): 12-21.

References

[1] Valerie R. Bencivenga, Bruce D. Smith. Financial Intermediation and Endogenous Growth. 1991(2):195~209.
[2] Freixas, Xavier, Jean-Charles Rochet Microeconomics of Banking [D]. MIT, Cambridge MA,1997.
[3] 张帆.金融发展影响绿色全要素生产率的理论和实证研究[J].中国软科学,2017(9):154~167.
[4] 葛鹏飞,黄秀路,徐璋勇.金融发展、创新异质性与绿色全要素生产率提升——来自"一带一路"的经验证据[J].财经科学,2018(1):1~14.
[5] Paul Lanoie,Michel Patry,Richard Lajeunesse. Environmental Regulation and Productivity: Testing the Porter Hypothesis [J]. Journal Productivity Analysis, 2008(2):121~128.
[6] Yan Wang,Neng Shen. Environmental Regulation and Environmental Productivity: The Case of China[J]. Renewable and Sustainable Energy Reviews,2016,62:758~766.
[7] 陈超凡.中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016(3):53~62.
[8] Eli Berman, Linda T. M. Bui. Environmental Regulation and Productivity: Evidence from Oil Refineries. 2001(3):498~510.
[9] Bruce R. Domazlicky, William L. Weber. Does Environmental Protection Lead to Slower Productivity Growth in the Chemical Industry [J].Environmental and Resource Economics, 2004,28: 301~324.
[10] 原毅军,谢荣辉.产业集聚、技术创新与环境污染的内在联系[J].科学学研究,2015(9):1340~1348.
[11] 殷宝庆.环境规制与我国制造业绿色全要素生产率——基于国际垂直专业化视角的实证[J].中国人口.资源与环境,2012(12):60~66.
[12] 李玲,陶锋.中国制造业最优环境规制强度的选择——基于绿色全要素生产率的视角[J].中国工业经济,2012(5):70~82.
[13] 刘和旺,左文婷.环境规制对我国省际绿色全要素生产率的影响[J].统计与决策,2016(9):141~145.
[14] 王伟,孙芳城.金融发展、环境规制与长江经济带绿色全要素生产率增长[J].西南民族大学学报,2018(1):129~137.
[15] 朱承亮,岳宏志,师萍.环境约束下的中国经济增长效率研究[J].数量经济技术经济研究,2011(5):3~20,93.
[16] 张军,吴桂英,张吉鹏.中国省级物质资本存量估算:1952~2000[J].经济研究,2004(10):35~44.
[17] 胡晓珍,杨龙.中国区域绿色全要素生产率增长差异及收敛分析[J].财经研究,2011(4):123~134.
[18] 张成,郭炳南,于同申.环境规制强度对行业生产技术进步的非线性影响[J].中国科技论坛,2014(1):57~61,75.
[19] 李斌,彭星,陈柱华.环境规制、FDI与中国治污技术创新——基于省际动态面板数据的分析[J].财经研究,2011(10):92~102.
[20] 李玲,陶锋.中国制造业最优环境规制强度的选择——基于绿色全要素生产率的视角[J].中国工业经济,2012(5):70~82.
[21] 蒋伏心,王竹君,白俊红.环境规制对技术创新影响的双重效应——基于江苏制造业动态面板数据的实证研究[J].中国工业经济,2013(7):44~55.
[22] 赵红.环境规制对产业技术创新的影响——基于中国面板数据的实证分析[J].产业经济研究,2008(3):35~40.
[23] 张成,陆旸,郭路,于同申.环境规制强度和生产技术进步[J].经济研究,2011(2):113~124.
[24] JP Lesage, RK Pace.Introduction to Spatial Econometrics[M].CRC Press, 2009(2):513~514.
[25] Anselin L. Spatial Econometrics: Methods and Models[M]. Dor-drecht:Kluwer Academic Publishers, 1988.