摘要
采用包含非期望产出的SBM模型,对2011—2018年中国30个省(自治区、直辖市)的绿色创新效率进行综合评测,并以此为基础构建面板tobit模型实证研究数字普惠金融对绿色创新效率的影响作用。研究结果表明:全国区域绿色创新效率呈逐步上升发展趋势,但是地区间绿色创新效率存在非均衡现象,且低值占大多数,发展存在多极化与不协调现象;数字普惠金融的发展可促进中国绿色创新效率的提升,但是对不同区域的创新激励作用存在差异性,其中经济发展水平高且金融体系完善的地区受到的创新激励效果更强;数字普惠金融的三个分解指数覆盖广度、使用深度以及数字化程度都可以对绿色创新效率产生正向影响,但是促进效果存在差异,具体表现为覆盖广度>使用深度>数字化程度。因此,应充分激发数字普惠金融在绿色创新效率中的“梅特卡夫法则”效应。
This paper uses the SBM model including undesired output to comprehensively evaluate the green innovation efficiency of thirty provinces(autonomous regions and municipalities)in China from 2011 to 2018,and builds a panel tobit model to empirically study the effect of digital inclusive finance on green innovation efficiency.The research results show that regional green innovation efficiency is gradually improving nationally,but there is the disequilibrium in the green innovation efficiency among regions.The green innovation efficiency is mostly low,and its development is multi-polarized and uncoordinated.The development of digital inclusive finance may improve the green innovation efficiency,but there exists the regional differentiation in effect of innovation incentive,and the effect of innovation incentive is stronger in regions with high economic development level and complete financial system.The coverage breadth,depth of use,and degree of digitalization of three decomposition indicators of digital inclusive finance may have a positive effect on green innovation efficiency,but there are differences in the effect,which is specifically expressed as coverage breadth>depth of use>degree of digitalization.Therefore,it is necessary to fully stimulate the effect of“Metcalfe’s Law”of digital inclusive finance on green innovation efficiency.
作者
张慧毅
刘瑞姣
彭一航
ZHANG Huiyi;LIU Ruijiao;PENG Yihang(School of Economics and Management,Tianjin University of Science&Technology,Tianjin 300457,China)
出处
《天津商业大学学报》
2022年第4期10-16,共7页
Journal of Tianjin University of Commerce
基金
中国学位与研究生教育学会面上课题“研究生职业发展问题研究”(2020MS1034)。
关键词
数字普惠金融
绿色创新效率
SBM模型
digital inclusive finance
green innovation efficiency
SBM model