Spatial–Temporal Differentiation and the Driving Mechanism of Rural Transformation Development in the Yangtze River Economic Belt

Abstract

Rural transformation development is an important part of rural revitalization, and the study of spatial–temporal differentiation characteristics and the driving mechanism of rural transformation development can provide a decision-making reference for formulating rural revitalization programs according to local conditions. Taking the Yangtze River Economic Belt as the research case, we constructed an evaluation system of rural transformation development in the dimension of “population, land and industry”, and the entropy TOPSIS method, spatial autocorrelation model and geographic detector model were used to reveal spatial-temporal differentiation and the driving mechanism of rural transformation development in the Yangtze River Economic Belt from 1978 to 2018. The results showed that (1) rural transformation development has been significantly unbalanced in the Yangtze River Economic Belt, and rural transformation development showed a weak distribution. Moreover, in terms of dimensions, the land use transformation level > population development transformation level > industrial development transformation level. (2) On the global, rural transformation development presented a spatial distribution trend of club convergence. On the local, the H(High)–H(High) type was mainly distributed in Shanghai City and the southern part of Jiangsu Province, and it evolved to Hangzhou-Shaoxing-Ningbo and Wanjiang City Belt; the L(Low)–L(Low) type was mainly concentrated in the western part of Sichuan Province and in the southwest of Yunnan Province. (3) Natural conditions, economic social development, traffic accessibility, policies and systems were the leading factors affecting rural transformation development in the Yangtze River Economic Belt. The influences of economic social development and traffic accessibility on rural transformation development were increasing, and policy factors had an important guiding effect on rural transformation development, and the influence of natural conditions on rural transformation development has weakened. This study can provide a practical reference for rural transformation and rural revitalization in the Yangtze River Economic Belt.

Research on the Dilemma Faced by the Digital Economy in Promoting Urban-rural Integration and the Countermeasures to Solve it

“…[9] Another view is that the differences and contradictions between urban and rural areas in economic, social, cultural and other aspects are the main driving force for promoting the integrated development of urban and rural areas. [10] From the perspective of existing literature research, most of them have studied the connotation, influencing factors, measurement methods, and mechanism of urban-rural integration from different research dimensions, and few literatures have systematically sorted out and identified the internal mechanism of digital economy and urban-rural integration in the context of the digital age. Therefore, this paper studies the marginal contribution of the digital economy to the integration of urban and rural areas.…”

Balancing Flood Control and Economic Development in Flood Detention Areas of the Yangtze River Basin

“…Using a broader set of relevant parameters may enhance the validity of the results. Indeed, the economic development prospects in FDAs, particularly in those near urban areas, present a compelling aspect for examination, and this will be the focus of our forthcoming research [57,58].…”

Regional Differences in the Quality of Rural Development in Guangdong Province and Influencing Factors

“…While the evaluation process is becoming more and more normalized, some scholars have proposed that the research area and research perspective do not have the same character, and the 20-character policy should be modified and integrated based on practical situations to complete the indicator layer's construction. Zhang Rongtian et al measured the rural development level of 41 prefecture-level cities in the Yangtze River Delta region by combining the three dimensions of "population development", "industrial development", and "land use" [20]; Zhang Qi et al built a nationwide rural development measurement framework based on the goal of common prosperity with three logics of "theory", "history", and "practice" [21]. In terms of research on the spatial differentiation of rural development, Lv Chengchao et al used the spatial range model to explore the spatial difference of rural development quality in 34 provinces of China [22], while Zhang Wang et al used the spatial autocorrelation model to measure the spatial pattern of rural development from the provincial perspective [23], and some scholars have used hot and cold point analysis or cluster analysis to study local clustering [24].…”