摘要
运用非径向非角度的SBM方向性距离函数与ML指数,将环境污染和能源消耗纳入生产率分析框架,将绿色全要素生产率(GTFP)增长分解为技术进步和技术效率改善,测度中国30个省市区GTFP,利用空间计量模型考量GTFP的影响因素及其空间特征。结果表明:样本期内全国平均GTFP累积增长31%,技术进步贡献较大。各地区的GTFP均呈现增长趋势,而技术效率则有所下降。地理邻接是空间溢出的主要途径,各变量对GTFP、技术进步和技术效率改善的直接效应和空间溢出效应呈现不同的作用机制,R&D投入、外商投资和环境管制等因素对GTFP的增长均有显著影响。
The non-radial,non-angle SBM directional distance function and ML index are used to incorporate indicators reflecting environmental pollution and energy consumption into the framework used to analyze productivity.We have measured ML index which can be decomposed into technological progress and technological efficiency changes and green total factor productivity(GTFP)of 30 provinces in 2008-2017.Spatial econometric model is used to explore the influencing factors and spatial characteristics of green total factor productivity.The results show that China's national average GTFP increased by 31.1%between 2008 and 2017 and it is mainly due to technological progress;the GTFP of all regions shows an increasing trend,and there are characteristics of technical efficiency decline and technological progress.Geographic proximity is the main factor leading to the spatial spillover effect.The direct effects and spatial spillover effects of various variables on GTFP,technological progress and technological efficiency improvement are different.The factors,such as R&D,FDI,and environmental regulation have significant effects on the growth of GTFP.
作者
陈黎明
王俊昊
赵婉茹
蔡乐颖
CHEN Liming;WANG Junhao;ZHAO Wanru;CAI Leying(College of Finance and Statistics, Hunan University, Changsha,Hunan 410079, China)
出处
《财经理论与实践》
CSSCI
北大核心
2020年第4期122-132,共11页
The Theory and Practice of Finance and Economics
基金
湖南省哲学社会科学基金项目(19YBA069)。
关键词
绿色全要素生产率
ML指数
影响因素
空间特征
green total factor productivity(GTFP)
ML index
influencing factors
spatial characteristics
作者简介
陈黎明(1974—),男,湖南隆回人,博士,湖南大学金融与统计学院副教授,硕士生导师,研究方向:宏观经济统计。
