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金融发展、技术进步与中国低碳经济增长效率——基于空间面板数据模型的实证研究
引用本文:马大来,杨光明.金融发展、技术进步与中国低碳经济增长效率——基于空间面板数据模型的实证研究[J].重庆大学学报(社会科学版),2018,24(3):13-28.
作者姓名:马大来  杨光明
作者单位:重庆理工大学管理学院,重庆,400054
基金项目:重庆市教委科学技术研究项目"结构性调整与低碳经济发展——以重庆市为例"(KJ1600942);国家社会科学基金项目"三峡库区扶贫开发、生态承载和社会治理复合系统协调发展路径研究"(16BGL122)
摘    要:通过建立包含非期望产出的非径向、非角度的SBM模型,文章测算了中国1998-2015年各个省份的低碳经济增长效率,然后在此基础上分析了低碳经济增长效率的区域差异性和空间相关性,最后建立空间面板数据模型,实证考察了金融发展、技术进步对低碳经济增长效率的影响.实证结果表明:在样本期间,中国低碳经济增长效率表现出较强的省域差异性,东部沿海省份的低碳经济增长效率较高,而大多数中西部内陆省份的低碳经济增长效率则相对较低;省际低碳经济增长效率在空间上并非呈随机分布的特征,邻近省份表现出显著的空间模仿效应,具有明显的集群趋势;空间计量模型的实证结果显示,通过对金融发展水平指标分解发现,金融发展规模对低碳经济增长效率的影响不显著,而金融发展结构对低碳经济增长效率具有显著的正向影响;以专利授权量、对外贸易和外商直接投资为表征的技术进步均能显著地提升低碳经济增长效率;此外,人力资本对低碳经济发展有显著的正向影响,能源消费结构、政府干预和城镇化则对低碳经济发展有明显的抑制作用.

关 键 词:金融发展  技术进步  低碳经济增长效率  空间面板数据模型
修稿时间:2017/12/5 0:00:00

Financial development, technological progress and low carbon economic growth efficiency in China: An empirical research of spatial panel data model
MA Dalai and YANG Guangming.Financial development, technological progress and low carbon economic growth efficiency in China: An empirical research of spatial panel data model[J].Journal of Chongqing University(Social Sciences Edition),2018,24(3):13-28.
Authors:MA Dalai and YANG Guangming
Institution:College of Management, Chongqing University of Technology, Chongqing 400054, P. R. China and College of Management, Chongqing University of Technology, Chongqing 400054, P. R. China
Abstract:Based on the non radial and non angle SBM model, this paper estimates the efficiency of low carbon economic growth in various provinces of China during 1998-2015. Then on the basis of analyzing the regional difference and spatial correlation of low carbon economic growth efficiency, this paper builds the spatial panel data model and empirically examines the effect of financial development and technological progress on the low carbon economic growth efficiency. Empirical results show that:during the sample period, China''s low carbon economy growth efficiency shows strong provincial differences. The provinces of higher low carbon economy growth efficiency are mostly located in the eastern coastal areas, that of midwest provinces in inland of Ministry of Chinese is relatively lower. The regional low carbon economic growth efficiency is not randomly distributed in space, and the spatial imitation effect of the neighboring provinces is strong. The results of the spatial model show that, the scale of financial development has no significant effect on low carbon economic growth efficiency, while the financial development structure has a significant positive impact on it. Technical progress in the characterization of patent licensing, foreign trade and foreign direct investment can significantly improve the low carbon economic growth efficiency. In addition, human capital has a significant positive impact on the development of low carbon economy, while energy consumption structure, government intervention and urbanization have a significant inhibitory effect on the development of low carbon economy.
Keywords:financial development  technological progress  low carbon economic growth efficiency  spatial panel data model
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