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绿色信贷推动制造业绿色转型路径研究——基于长三角地区的经验

Research on the Impact Paths of Green Credit on the Green Transformation of Manufacturing Industry:Based on the Experiences of the Yangtze River Delta Region
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摘要 绿色信贷对制造业绿色转型具有天然的驱动逻辑。通过构建线性和非线性模型,测度2011—2020年长三角省市绿色转型指标,研究绿色信贷与制造业绿色转型的关系。研究发现:绿色信贷对制造业绿色转型存在先扬后抑的倒U型非线性关系,即绿色信贷在一定实施范围内能发挥正向激励和促进作用,绿色信贷作用效果存在一个合理的区间边界。能源结构对绿色转型存在负向调节作用,绿色信贷促进能耗下降,推动制造业绿色转型;技术创新对绿色转型具有正向调节作用,绿色信贷为制造业技术创新提供资本支持,释放正向的技术溢出效应。 Green credit has a natural driving logic for the green transformation of the manufacturing industry.By constructing linear and nonlinear models,this paper measures the green transformation lever of the Yangtze River Delta from 2011 to 2020,and tests the relationship between green credit and green transformation of the manufacturing industry.Research has found that there is an inverted U-shaped non-linear relationship between green credit and green transformation,there is a positive incentive effect of green credit within a certain implementation range.Furthermore,the energy structure has a negative moderating effect on green transformation,which is the green credit promoting a decrease trend in energy consumption and promoting green transformation.While the technological innovation has a positive moderating effect on green transformation,the green credit provides capital support for manufacturing technological innovation,and releases positive technological spillover effects.
作者 云坡 刘捷先 YUN Po;LIU Jie-xian(School of Economics and Management,Hefei University,Hefei Anhui 230601,China;School of Accounting,Tongling University,Tongling Anhui 244061,China)
出处 《铜陵学院学报》 2023年第4期32-37,共6页 Journal of Tongling University
基金 安徽省社科创新发展课题攻关项目“双碳约束下绿色金融推动安徽省制造业绿色转型的路径和优化升级研究”(2021CX028) 安徽省科研编制计划重大项目“双碳目标下绿色金融推动安徽省高碳企业绿色转型的路径和优化研究”(2022AH040244) 教育部人文社科研究青年基金项目“基于双向多层循环神经网络时变高阶矩传染的碳金融资产定价研究”(21YJC790152)。
关键词 绿色信贷 绿色转型 制造业 能源结构 技术创新 green credit green transformation energy structure technological innovation
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