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| Government Intervention,Green Finance and Regional Innovation Capability——Evidence from Panel Data of 30 Provinces |
| Lv Kun1, Pan Junbai1, Zhou Yili1, Li Beiwei2 |
1. Business School,Ningbo University,Ningbo 315211,China;
2. School of Business and Management,Jilin University,Changchun 130022,China |
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Abstract This paper adopts the“comprehensive utility value of China's regional innovation capability”as the explained variable,and green finance index and government intervention based on the entropy method and the government financial intervention model respectively as explanatory variables,and a dynamic panel system GMM model and spatial Durbin model were constructed to study the impact of government intervention and green finance on regional innovation capacity in 30 provinces in China from 2007 to 2019.The study found that green finance can significantly enhance regional innovation,while government financial intervention can inhibit regional innovation,and the combined effect of the two on regional innovation is negative.At the same time,based on the economic space weight matrix,green finance in one province has a negative spatial conduction effect on the regional innovation and development of other provinces,while government intervention has a significant positive spatial conduction effect.Through regional spatial Durbin model analysis,it is found that the spatial effect of government intervention in the eastern region disappears while the promotion effect of green finance on regional innovation and the spatial effect of variables in the western region are not significant.
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Received: 05 January 2022
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[1]牛宝春,崔光莲,张喜玲.科技创新对低碳经济的影响研究——基于省际面板数据的实证分析[J].技术经济与管理研究,2022(1):43-48.
[2]张治河,冯陈澄,李斌,等.科技投入对国家创新能力的提升机制研究[J].科研管理,2014,35(4):149-160.
[3]李琳,刘瑞.创新要素流动对城市群协同创新的影响——基于长三角城市群与长江中游城市群的实证[J].科技进步与对策,2020,37(16):56-63.
[4]谢伟,胡玮,夏绍模.中国高新技术产业研发效率及其影响因素分析[J].科学学与科学技术管理,2008(3):144-149.
[5]肖文,林高榜.政府支持、研发管理与技术创新效率——基于中国工业行业的实证分析[J].管理世界,2014(4):71-80.
[6]孟科学,严清华.绿色金融与企业生态创新投入结构优化[J].科学学研究,2017,35(12):1886-1895.
[7]何凌云,梁宵,杨晓蕾,等.绿色信贷能促进环保企业技术创新吗[J].金融经济学研究,2019,34(5):109-121.
[8]曾玲玲,叶甜甜.绿色金融能否提高绿色全要素生产率[J].北京邮电大学学报(社会科学版),2021,23(1):69-79.
[9]曾学文,刘永强,满明俊,等.中国绿色金融发展程度的测度分析[J].中国延安干部学院学报,2014,7(6):112-121,105.
[10]张学海,郑现伟.河北省绿色金融促进产业转型升级的问题与对策[J].经济论坛,2017(6):24-25,46.
[11]GIBBONS M,LIMOGE C,NOWOTNY H,et al.The new production of knowledge:the dynamics of science and research in contemporary societies[M].London:Sage Publications,1994.
[12]刘瑞佳,杨建君,邓程.产品创新绩效偏离、双元学习与企业家导向[J].科研管理,2021,42(3):180-190.
[13]GOOLSBEE A.Does government R&D policy mainly benefit scientists and engineers[J].American economic review,1998,88(2):298-302.
[14]周黎安.中国地方官员的晋升锦标赛模式研究[J].经济研究,2007(7):36-50.
[15]赵立建.绿色金融支持绿色科技是实现碳中和的关键途径[J].现代金融导刊,2021(5):4-7.
[16]张中祥.碳达峰、碳中和目标下的中国与世界——绿色低碳转型、绿色金融、碳市场与碳边境调节机制[J].人民论坛·学术前沿,2021(14):69-79.
[17]陈骁,张明.中国的绿色债券市场:特征事实、内生动力与现存挑战[J].国际经济评论,2022(1):104-133,7.
[18]ARELLANO M,BOVER O.Another look at the instrumental variable estimation of error-components models[J].Journal of econometrics,1995,68(1):29-51.
[19]BLUNDELL R,BOND S.Initial conditions and moment restrictions in dynamic panel data models[J].Journal of econometrics,1998,87(1):115-143.
[20]LESAGE J P,PACW R K.Introduction to spatial econometrics[J].Journal of regional science,2010(5):1014-1015.
[21]赵秋运,李成明,胡巧玉.地方政府干预与劳动收入份额:基于分税制的视角[J].经济理论与经济管理,2017(12):36-46.
[22]周黎安.中国地方官员的晋升锦标赛模式研究[J].经济研究,2007(7):36-50.
[23]龙小宁,朱艳丽,蔡伟贤,等.基于空间计量模型的中国县级政府间税收竞争的实证分析[J].经济研究,2014,49(8):41-53.
[24]LESAGE J P,PACR K.Introduction to spatial econometrics[M].Boca Raton:Chemical Rubber Company Press,2009.
[25]丁德圣.次贷危机后国内外金融监管思路和模式研究[D].沈阳:辽宁大学,2013. |
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2022, Vol. 3 
