Dynamic Evolution of Urban and Rural Residents'Livelihood Resilience under Digital Transformation
The study of livelihood resilience of urban and rural residents in the context of digital transformation in various fields of society is related to the realization of high-quality development of people's livelihood and common prosperity.This study selects the panel data of 31 provinces and municipalities in China from 2012 to 2021,constructs a theoretical model and indicator system for the evolution of urban and rural residents'livelihood resilience from three dimensions of buffer capital,adaptive adjustment and learning skills,and uses the second-weighted entropy weight method to conduct a dynamic and comprehensive evaluation of urban and rural residents'livelihood resilience.Dagum Gini coefficient and Kernel density estimation method were used to analyze the spatio-temporal differences and dynamic evolution characteristics of urban and rural residents'livelihood resilience.The results show that in the past ten years,the resilience of urban and rural residents in China has shown a rapid upward trend;buffering capital has the most prominent impact on the livelihood resilience,followed by learning skills and self-adaptive adjustment;the livelihood resilience of urban and rural residents in the eastern,central,western and northeastern regions is uneven within and among regions,and the pattern of coordinated and balanced regional development needs to be further optimized and improved.The study further puts forward policy recommendations from the two levels of government and residents.
digital transformationurban and rural residentslivelihood resiliencedynamic evolution