摘要
基于2001-2016年中国30省的面板数据,采用GML指数测算绿色全要素生产率,将其作为绿色发展水平的衡量指标,分别利用固定效应、差分GMM、系统GMM等计量方法,考察绿色信贷与绿色发展之间的关系。结果发现:绿色信贷显著提升绿色经济的发展水平。稳健性检验结果显示,绿色信贷也显著促进了绿色技术效率和绿色技术进步率提升;机制分析表明绿色信贷具有污染治理效应和环保投资效应,并且通过优化产业结构、改善能源利用效率促进绿色发展。因此,政府应充分发挥主导作用,完善绿色信贷相关政策,推动产业结构升级,提高能源利用率,从而促进绿色发展。
Based on the panel data of 30 provinces in China from 2000 to 2016,this paper adopts the Global Malmquist-Luenberger index to measure green total factor productivity,and uses it as a measurement index of green development level.The fixed effect,differential GMM,system GMM and other measurement methods are used to investigate the relationship between green credit and green development.The results show that:green credit significantly improves the development level of green economy;the robustness test results show that green credit also significantly promotes the improvement of green technology efficiency and green technology progress rate;mechanism analysis shows that green credit has pollution control effect and environmental protection investment effect,and promotes green development by optimizing industrial structure and improving energy utilization efficiency.Therefore,the government should give full play to its leading role,improve policies related to green credit,promote the upgrading of industrial structure,and improve energy utilization,thereby promoting green development.
作者
张玺
薛青
李光勤
ZHANG Xi;XUE Qing;LI Guang-qin(Anhui University of Finance and Economics,Bengbu Anhui 233030,China)
出处
《铜陵学院学报》
2021年第6期27-33,47,共8页
Journal of Tongling University
基金
浙江省自然科学基金项目“环境污染与健康成本:理论模型与中国经验证据”(LY18G030014)
安徽财经大学研究生科研创新基金“绿色金融对绿色发展的影响研究:基于绿色信贷的视角”(ACYC2020083)。
关键词
绿色信贷
绿色全要素生产率
GML指数
系统GMM
green credit
green total factor productivity
Global Malmquist-Luenberger
system GMM
