Publication | Open Access
An Empirical Test of Low-Carbon and Sustainable Financing’s Spatial Spillover Effect
15
Citations
24
References
2022
Year
Spatial Measure ModelEconomic DevelopmentLocal Economic DevelopmentSustainable DevelopmentEnvironmental EconomicsEnvironmental PlanningThreshold Regression ModelSocial SciencesEnvironmental Economic GeographyEconomic AnalysisRegional ScienceUrban GreeningEconomicsPublic PolicyEmpirical TestUrban Economic DevelopmentSpatial Spillover EffectSustainable Financing ’Regional EconomicsFinanceSpatial EconomicsUrban EconomicsBusiness
In this paper, the panel data of 30 provinces in China from 2011 to 2019 are analyzed by the spatial measure model and the threshold regression model. The results show that the air quality level is positively correlated with green finance, but there is no spatial effect. The spatial effect of the three influencing factors, including the degree of openness, the level of infrastructure, and the level of education, is the crowding-out effect. At the same time, variables such as human resource level, air quality, and infrastructure construction level all have threshold effects in the relationship between green finance and economic development. The research conclusions suggested that local governments at all levels should formulate policies according to the actual situation to promote the development of provinces’ intensive, intelligent, and green development, and build a regionally-linked green finance development model, thereby promoting the improvement of green finance.
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