Research on the Impact and Spatial Effects of Digital Villages Construction on the Ability to Prevent Return to Poverty
Preventing a large-scale return to poverty is the key to solidly promote rural revital-ization,and the digital villages construction is of great significance in enhancing the ability of rural areas to prevent return to poverty.This paper is based on panel data from 30 provinces in China from 2016 to 2022.A projection pursuit model based on accelerated genetic algorithm is used to measure the level of digital villages construction and the ability to prevent return to pov-erty.Gaussian kernel density estimation is used to characterize the spatiotemporal differentiation characteristics of the two,and the spatial Durbin model is used to analyze the spatial spillover effect of digital villages construction on the ability to prevent return to poverty in depth.The pa-per found that from 2016 to 2022,the overall level of digital villages construction and the ability to prevent return to poverty have been continuously improving.There is a trend of multipolarity in digital villages construction,and the polarization of the ability to prevent return to poverty has gradually weakened.The ability of rural areas to prevent return to poverty has significant spatial clustering characteristics,mainly manifested as"high-high"and"low-low"clustering patterns.The decomposition of spatial Durbin spillover effects indicates that digital villages con-struction has a significant positive impact on preventing return to poverty and a positive spatial spillover effect.Based on this,relevant policy recommendations are proposed for future digital villages construction,and new paths to improve the ability to prevent return to poverty are ex-plored.In the future,attempts can be made to further explore spatial spillover effects from the spillover boundary.
digital villagesprevent return to povertyprojection pursuit modelaccelerated genetic algorithmspatial Durbin model
万方数据
维普
