Can Social Capital Promote the Growth of Environmental Total Factor Productivity in China?

Abstract

Abstract:

The use of social capital to explain economic development has become a new and effective perspective. However, few studies introduce social capital into environmental total factors, which leads to the lack of in-depth and objective analysis of the formation mechanism and influencing factors of the total factors. While investigating the comprehensive attributes of social capital, this paper pays attention to water resources, in order to take into account the objectivity of the measurement of environmental total factor productivity, and constructs a fixed-effect model to analyze the impact of social capital on environmental total factor productivity. It is found that:(1) the development of environmental total factor productivity is relatively balanced among provinces, and the absence of water resources leads to overestimation of environmental total factor productivity and underestimation of environmental pollution; (2) generally speaking, social capital promotes environmental technical progress and inhibits environmental technical efficiency; in a single dimension, the network dimension of social capital has a positive impact on the improvement of environmental total factor productivity, while the trust dimension has a negative impact; (3) the government's environmental regulation and the technology level have a positive effect on the environmental total factor productivity, while the capital endowment structure has a negative effect on it.

Key words: social capital, environmental total factor productivity, fixed-effect model

Wan Jianxiang, Wang Shanshan. Can Social Capital Promote the Growth of Environmental Total Factor Productivity in China?[J]. , 2019, 31(12): 15-25.

References

[1] 陈诗一. 中国的绿色工业革命:基于环境全要素生产率视角的解释(1980-2008)[J]. 经济研究, 2010,45(11):21-34
[2] 陈真玲. 基于超效率DEA模型的中国区域生态效率动态演化研究[J]. 经济经纬, 2016,33(6):31-35
[3] 刘彬彬,陆迁,李晓平. 社会资本与贫困地区农户收入——基于门槛回归模型的检验[J]. 农业技术经济, 2014,33(11):40-51
[4] 万建香,汪寿阳. 社会资本与技术创新能否打破"资源诅咒"?——基于面板门槛效应的研究[J]. 经济研究, 2016,51(12):76-89
[5] 刘一伟,汪润泉. 收入差距、社会资本与居民贫困[J]. 数量经济技术经济研究, 2017,34(9):75-92
[6] 叶祥松,刘敬. 异质性研发、政府支持与中国科技创新困境[J]. 经济研究, 2018,53(9):116-132
[7] 程惠芳,陈超. 开放经济下知识资本与全要素生产率——国际经验与中国启示[J]. 经济研究, 2017,52(10):21-36
[8] 王志刚. 跨国收入差异及全要素生产率增长的影响因素分析[J]. 财政研究, 2016,37(3):39-53
[9] Hu J. L., Wang S. C. Total-Factor Energy Efficiency of Regions in China[J]. Energy Policy, 2006,34(17):3206-3217
[10] 王群伟,周德群,沈璇,等. 我国全要素能源效率的测度与分析[J]. 管理评论, 2010,22(3):37-43
[11] 王喜峰. 考虑区域承载力的水资源效率研究[J]. 城市与环境研究, 2018,16(2):97-110
[12] 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, 2010,45(5):95-109
[13] 刘华军,李超. 中国绿色全要素生产率的地区差距及其结构分解[J]. 上海经济研究, 2018,(6):35-47
[14] 祁毓,卢洪友,吕翅怡. 社会资本、制度环境与环境治理绩效——来自中国地级及以上城市的经验证据[J]. 中国人口·资源与环境, 2015,25(12):45-52
[15] 万建香,梅国平. 社会资本可否激励经济增长与环境保护的双赢?[J]. 数量经济技术经济研究, 2012,29(7):61-75
[16] 罗能生,曾克强. 社会资本、区域差异与全要素生产率——基于DEA方法的实证研究[J]. 河南师范大学学报(哲学社会科学版), 2018,45(1):29-37
[17] 陈晓东,张卫东. 机会不平等如何影响技术效率——基于社会资本视角[J]. 当代财经, 2018,(5):3-14
[18] Akerlof G. the Market for ‘Lemons’:The Quality of Uncertainty and the Market Mechanism[J]. Quarterly Journal of Economics, 1970,84(3):488-500
[19] 陆铭,李爽. 社会资本、非正式制度与经济发展[J]. 管理世界, 2008,(9):161-165
[20] 万建香,钟以婷. 社会资本对企业绩效的影响——基于中国经济转型阶段的研究[J]. 管理评论, 2018,30(1):60-66
[21] 刘海鑫,刘人境,李圭泉. 社会资本、技术有效性与知识贡献的关系研究——基于企业虚拟社区的实证研究[J]. 管理评论, 2014,26(12):10-19
[22] Collier P. Social Capital and Poverty:A Microeconomic Perspective[M]. New York:Cambridge University Press, 2002
[23] 郭家堂,骆品亮. 互联网对中国全要素生产率有促进作用吗?[J]. 管理世界, 2016,(10):34-49
[24] 严成樑. 社会资本、创新与长期经济增长[J]. 经济研究, 2012,47(11):48-60
[25] 万建香,梅国平. 社会资本、技术创新与"资源诅咒"的拐点效应[J]. 系统工程理论与实践, 2016,36(10):2498-2513
[26] 熊捷,孙道银. 企业社会资本、技术知识获取与产品创新绩效关系研究[J]. 管理评论, 2017,29(5):23-39
[27] Xiong A. L., Pu Y. J. Social Capital and Regional Development in China:What has Been Done So Far and What should Been Done in Future[J]. Chapter, 2016,
[28] Li Y., Wang X., Westlund H., et al. Physical Capital, Human Capital, and Social Capital:The Changing Roles in China's Economic Growth[J]. Growth and Change, 2015,46(1):133-149
[29] Thompson M. Social Capital, Innovation and Economic Growth[R]. NIPE Working Papers, 2015
[30] Peiró-Palomino J. Social Capital and Economic Growth in Europe:Nonlinear Trends and Heterogeneous Regional Effects[J]. Oxford Bulletin of Economics and Statistics, 2016,78(5):717-51
[31] 陈伟,沙蓉,张永超,等. 我国知识密集型产业专利创新绩效评价研究——基于DEA-Malmquist指数方法[J]. 管理评论, 2013,25(8):39-45
[32] Malmquist S. Index Numbers and Indifference Curves[J]. Trabajos de Estatistica, 1953,4(1):209-242
[33] Caves D. W., Christensen L. R., Diewert W. E. The Economic Theory of Index Numbers and the Measurement of Input and Output, and Productivity[J]. Econometrica, 1982,50(6):1393-1414
[34] 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, 2008,25(10):17-31
[35] 张帆,肖锋. 碳排放约束下的江西省农业生产效率测算研究[J]. 赣南师范大学学报, 2016,37(6):27-31
[36] 周永文. 广东环境全要素生产率及影响因素分析——基于环境生产函数的实证研究[J]. 暨南学报(哲学社会科学版), 2016,38(1):96-112
[37] 刘振华,闵庆飞,刘子龙. 虚拟团队中的社会惰性——基于知识型团队的实验研究[J]. 系统工程理论与实践, 2015,35(1):115-123
[38] 曾克强,罗能生. 社会资本与产业结构调整:基于区域和结构效应的分析[J]. 中国软科学, 2017,32(4):66-79
[39] 陈平路,毛家兵,侯俊会. 政府教育投入对宏观产业经济和居民生活福利动态影响分析[J]. 管理评论, 2018,30(11):14-25
[40] Xiong A. L., Westlund H., Li H. Y., et al. Social Capital and Total Factor Productivity:Evidence from Chinese Provinces[J]. China & World Economy, 2017,25(4):22-43
[41] 李佳雪,张国兴,胡毅,等. 节能减排政策制定部门的协同有效性——基于1195条节能减排政策的研究[J]. 系统工程理论与实践, 2017,37(6):1499-1511