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Study On The Impact Of Regional Green Finance Development On Eco-efficiency In China

Posted on:2024-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:J Q JiangFull Text:PDF
GTID:2530307085998639Subject:Quantitative Economics
Abstract/Summary:PDF Full Text Request
Today the world in general in the global economic landscape continues to change,China’s traditional economic growth characterized by quantitative expansion is unsustainable.At the same time,General Secretary Xi Jinping has made clear the requirement of economic and ecological integration and optimization in the Yangtze River basin.Therefore,it is of theoretical and practical significance to study the impact of green financial development on eco-efficiency and to consider the spatial interaction effect so as to combine spatially linked networks for analysis.In view of this,based on the existing literature,the eco-efficiency level of China’s inter-provincial regions from 2011 to 2020 was measured and analyzed using the non-expectation-based super-efficiency SBM model.The level of green finance development is measured and analyzed by the entropy method,and then the individual network signs of each province and city in China and the Yangtze River Economic Zone are measured and analyzed by the social network analysis method based on the improved gravity model.Further,we analyze the level of green finance development and the impact of green finance spatially linked networks on ecoefficiency in each province,city and Yangtze River Economic Belt.First,regarding the measurement and analysis of eco-efficiency of provinces and municipalities,this paper concludes that: first,the eco-efficiency level in China is in a fluctuating situation of decreasing,then increasing,then decreasing and then increasing again,in which the proportion of provinces and municipalities with ecoefficiency values at a low level is 50%.Secondly,the difference of eco-efficiency among provinces and cities in China shrinks first and then expands,and the overall difference of eco-efficiency is not significant.Thirdly,in the results of dynamic analysis of eco-efficiency of each province and city in China,the productivity index of eco-productivity is positive in all provinces and cities except Hainan.Secondly,for the green finance measurement and analysis,firstly,the level of economic development of each province and city in China is basically positively related to the level of green finance development.Secondly,Liaoning,Heilongjiang,Hunan and Chongqing are gradually becoming the new bright spot in the development of green finance in the region as a whole;Jiangsu,Zhejiang and Guangdong are gradually weakening their controlling role in green finance linkage among other provinces and cities.Thirdly,among the provinces and cities in the Yangtze River Economic Belt,Shanghai,Jiangsu and Zhejiang have higher point-out degrees than other provinces and cities,and have stronger outward radiation capability;the structural holeranking degree of Yunnan,Guizhou and Sichuan always remains high and is marginalized in the network.Finally,regarding the analysis of the impact of green finance on eco-efficiency,this paper concludes that: first,there is a positive spatial aggregation effect of eco-efficiency in each province and city in China,and the spatial aggregation effect of eco-efficiency is increasing.The development level of green finance shows a promotion effect on eco-efficiency development as a whole.Secondly,the point access degree and intermediate centrality degree of green finance spatial association network of provinces and cities across the country have a promoting effect on eco-efficiency,and the structural hole level degree has an inhibiting effect on eco-efficiency.Third,this paper further analyzes the impact of green finance on eco-efficiency based on provinces and cities in Yangtze River Economic Belt,and the conclusion is consistent with the conclusion of the analysis based on the national level.Finally,based on the current situation of green finance and eco-efficiency in China’s provinces and cities as well as the Yangtze River Economic Belt,reasonable countermeasures are proposed for further optimizing the ecological environment.
Keywords/Search Tags:Green finance, Eco-efficiency, Spatial correlation, Super-efficient SBM model, Spatial Durbin model
PDF Full Text Request
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