Coupling and Coordinated Development of Digital Economy and Rural Revitalisation and Analysis of Influencing Factors

Abstract

Under the strategy of digital technology development and rural revitalisation, the digital economy has gradually become a powerful engine for rural revitalisation and development. Based on the coupling coordination mechanism of digital economy and rural revitalisation, this paper constructs the index evaluation system of digital economy and rural revitalisation and empirically studies the development characteristics of digital economy and rural revitalisation by using the coupling coordination degree and grey relation model. The results show that during 2016–2020, the overall development level of digital economy and rural revitalisation in China is high in the East and low in the West. The coupling coordination between digital economy and rural revitalisation has significant regional differences and a downward trend, and the coupling coordination degree is positively correlated. The empirical results of the grey correlation model show that the number of postal employees and per capital grain production are the most important potential factors affecting digital economy and rural revitalisation, respectively. Finally, it is suggested that the government should continue to increase investment in science, technology, and agriculture, accelerate the project of cultivating high-level scientific and technological innovation and rural management talents, and strengthen regional cooperation and collaboration.

Study on the Coupled and Coordinated Development and Evolution of Digital Economy and Green Technology Innovation

“…Regarding the classification of the coupling coordination levels by the research results of Wang Yuan [34] et al, the coupling coordination degree of the development of the digital economy system and green technology innovation system was divided into ten levels after determining the coupling coordination degree of the two systems from 2011 to 2021, as shown in Table 3: Unbalanced distributions can be studied using the non-parametric test approach known as kernel density estimation. The kernel density distribution studies the distribution features of the data from the data itself, overcoming the subjectivity of the function form set in the estimation of the parametric model, and therefore more objectively reflects the facts [35], and at the same time can determine the regional level distribution, shape, and evolution of the development of the digital economy and green technology, etc.…”

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

“…Finally, the discussion focuses on the coupling-coordination mechanism between the digital economy and rural development. 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].…”

Driving rural industry revitalization in the digital economy era: Exploring strategies and pathways in China

“…The universality demonstrated by digital infrastructure and the digital financial environment at the national level highlights the critical significance of developing digital rural areas for industrial growth in the current digital economy context. However, the relatively superior economic development in the eastern region compared to the western region, along with its more advanced digital infrastructure and digital financial environment, necessitates a greater focus on other factors to achieve RIR [ 64 ]. This is helpful for local governments to select targeted development models for RIR based on local conditions.…”