The measurement, sources of variation, and factors influencing the coupled and coordinated development of rural revitalization and digital economy in China

Abstract

An evaluation index system for the coupled and coordinated development of China’s digital economy and rural revitalization, including a total of 46 indicators for the digital economy and rural revitalization subsystems, was constructed and combined with the entropy weight method, the coupling coordination degree model, Zhou’s constraint identification index, the Dagum Gini coefficient decomposition method, and the panel spatial econometric model to analyze the level of coupled and coordinated development of China’s digital economy and rural revitalization. The results found that: (1) the coupling and coordination between the two have gradually improved. The constraints of the digital economy on rural revitalization were gradually alleviated from 2011 to 2015, but after the 19th Party Congress, the development trend of rural revitalization has significantly outstripped the digital economy. (2) the spatial differences in the degree of coupling and coordination between the two are dominated by inter-regional differences and show significant spatial convergence and spatial correlation. Differentiated digital economy development strategies and more radiation in polarized areas are important for reducing regional differences in the level of coupling and coordination between the digital economy and rural revitalization. This will help China’s digital countryside grow more efficiently.

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

“…The development characteristics and influencing factors of the digital economy and rural revitalization were analyzed using the couplingcoordination degree and the grey correlation model [33]. The coupling-coordination degree model, the Dagum Gini coefficient, and the panel space metrology model were used to analyze the spatiotemporal differences between the coupled and coordinated development levels of China's digital economy and rural revitalization [34]. The time evolution method and geographically weighted regression are employed to analyze the driving factors of the coupled and coordinated development levels of China's digital economy and urbanrural integration [35].…”

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

“…In other words, the development of the digital economy in an area can stimulate the region's coordinated regional development and the regional development of the province's adjacent regions. What is more, the digital economy has significant spatial spillover effects on the other elements included in the achievement of coordinated urban-rural development, such as urban-rural economic integration and rural revitalisation [47,48].…”

Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm

“…Lian et al (2022) constructed five primary indicators and 20 secondary indicators from the viewpoints of digital governance, digital infrastructure, digital invention, industrial digitization, and digital automation and measured the digital economic development level of 19 Chinese cities using methods such as the Dagum Gini coefficient. Du, Huang, & Dong (2022) constructed four primary indexes and 22 secondary indexes from the perspective of the coordinated coupling of rural revitalization and the digital economy. Infrastructure development is essential.…”