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农村金融发展对农村经济增长影响的评价指标体系构建 被引量:1

Construction of evaluation index system of the influence of rural financial development on rural economic growth
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摘要 为了研究农村金融发展对农村经济增长的影响机制,探究二者之间的关系,促进农村金融与农村经济增长的良性互动。在对国内外学者的相关研究进行梳理总结的基础上,以H省为例建立农村金融发展对农村经济增长影响的评价指标体系,引进VAR向量自回归计量分析方法,构建模型对二者之间的相关关系进行描述,定量分析农村金融发展对农村经济增长的影响。通过协整关系检验得知,农村金融发展与农村经济增长之间存在着长期的均衡关系,农村金融发展对农村经济增长发挥着重要的正向影响,其中对农村经济增长影响最大的是农村金融发展规模因素,通过脉冲响应分析发现H省农村金融发展水平落后于农村经济增长水平。并结合H省农村经济增长与金融发展中存在的问题,提出了相应的对策建议。 In order to study the impact mechanism of rural financial development on rural economic growth,explore the relationship between them,and promote the positive interaction between rural finance and rural economic growth.Based on the summarization of relevant researches of scholars at home and abroad,this research established an evaluation index system for the impact of rural financial development on rural economic growth in the case of H province,introduced the VAR vector autoregressive econometric analysis method,and built a model for both.The relationship between the two was described to quantitatively analyze the impact of rural financial development on rural economic growth.Through the test of cointegration relationship,there is a long-term equilibrium relationship between rural financial development and rural economic growth.Rural finance development plays an important positive impact on rural economy growth.The most important impact on rural economic growth is the scale of rural financial development factors,through the impulse response analysis,it is found that the development level of rural financial in H province lags behind the level of rural economic growth.Combined with the problems in rural economic growth and financial development in H province,the corresponding countermeasure recommendations are put forward.
作者 张俊友 ZHANG Jun-you(Fangcheng Town Financial Service Center,Lanshan District,Linyi 273406,Shandong,China)
出处 《湖北农业科学》 2021年第21期177-182,187,共7页 Hubei Agricultural Sciences
关键词 农村经济 农村金融 影响机制 评价体系 VAR模型 rural economy rural finance impact mechanism evaluation system VAR model
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