Study On Regional Difference And Influencing Factors Of Rural Revitalization Level In Gansu Province

The rural revitalization strategy plays a key role in promoting the integrated development of urban and rural areas and narrowing the gap between urban and rural areas.The rural revitalization strategy plays a key role in promoting the integrated development of urban and rural areas and narrowing the gap between urban and rural areas.This paper constructs the evaluation index system of the level of rural revitalization at the county level from four dimensions: industrial prosperity,ecological livability,awealth of life,rural civilization and effective governance.The Entropy-TOPSIS method is used to measure the level and comprehensive level of each subsystem of rural revitalization in 86 counties(districts)in Gansu Province from 2013 to 2019,and use Dagum Gini-Index to investigate the spatial difference level of rural revitalization,and use Kernel density map and Markov chain to analyze the dynamic evolution trend of rural revitalization level in different regions.Finally,using spatial measurement and neural network to analyze the influencing factors of the level of rural revitalization in Gansu Province and the future trend of the difference between the internal and external levels of rural revitalization in the region,the study found that:(1)The overall level of rural revitalization in Gansu Province has risen from 0.1378 in 2013 to 0.1780 in 2019,with an increase rate of 29.17%,indicating that the overall level of rural revitalization in counties in Gansu Province is not high,but the growth rate is fast.Among them,the score of rural civilization and governance effectiveness is relatively the highest,with an average of0.1802,and the score of ecological livability is the lowest,with 0.1113,It shows that Gansu Province is weak and low in terms of rural ecological livability.The regional difference of rural revitalization level among cities and prefectures is significant,especially the average difference.Zhangye,Jiuquan,Jiayuguan,Jinchang and other regions have the highest level of rural revitalization and development,while Dingxi,Gannan,Linxia and other regions are relatively backward.(2)The Gini-Index of the overall development level of rural revitalization has declined,indicating that the overall difference in the current level of rural revitalization in Gansu Province is gradually narrowing;The Gini-Index decreased from 0.20561 in 2013 to 0.18612 in 2019,with a decrease of 9.48%,indicating that the overall difference in the level of rural revitalization and development in Gansu Province is not very prominent.The Gini-Index in Hexi,Gannan and Linxia regions showed a fluctuating downward trend,while that in southeastern Gansu showed a fluctuating upward trend,while that in central Gansu increased in 2019,and the regional difference value was mostly around 0.15,indicating that the internal gap was relatively large.For the regional differences,the decline in Linxia area from southeast Gansu to southern Gansu is the largest,and the Gini-Index in the region from central Gansu to southeast Gansu has a slight fluctuation trend.From the perspective of overall difference contribution,the contribution rate of regional difference is the largest,47.33%.The inter-regional difference is 22.32%,and the inter-regional hyper-variable density is 30.34%.(3)The Gini-Index of the overall development level of rural revitalization in Gansu Province shows a downward trend,indicating that the overall difference of the development level of rural revitalization in Gansu Province is gradually narrowing.The Gini-Index decreased by 9.48% from 0.20561 in 2013 to 0.18612 in 2019,indicating that the overall difference in the level of rural revitalization in Gansu Province is not very significant.The Gini-Index in Hexi,Gannan and Linxia showed a decreasing trend,the Gini-Index in southeastern Gansu showed an increasing trend,and the Gini coefficient in central Longong increased in 2019,and the inter-regional difference values were mostly about 0.15,indicating a relatively large internal gap.In terms of regional differences,the Gini-Index of Longzhong-Longdongnan region showed a slight fluctuation trend,while the decline of the Gini-Index of Longdongnan region was the largest.In terms of the contribution degree of overall difference decomposition,the largest contribution rate is the contribution rate of regional difference,which is 47.33%.Inter-regional super-variable density(30.34%)followed,and inter-regional difference contributed the least(22.32%).(4)From the perspective of influencing factors,the improvement of per capital income has a positive driving effect on Hexi and southeast Gansu,and the level of rural fiscal expenditure and financial development has a positive driving effect on Linxia and Gannan.Among them,the spatial positive spillover effect of rural fiscal expenditure is very significant,but the spatial spillover effect of financial development level and industrial structure is not prominent.From the forecast analysis,the improvement of per capital income level has a significant impact on reducing the inter-regional differences,the improvement of rural fixed asset investment and rural fiscal expenditure will effectively reduce the inter-regional differences,the upgrading of industrial structure will significantly reduce the inter-regional gap,and the increase of per capital income level,financial development level and rural fiscal expenditure will significantly improve the overall regional gap.