2023
DOI: 10.3390/agriculture13071448
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The Dynamics and Driving Mechanisms of Rural Revitalization in Western China

Abstract: By constructing a rural revitalization index evaluation system and using measurement models and software such as AHP, the entropy method, the BCG matrix, and GeoDetector, this paper quantitatively analyzed the evolution mode and driving mechanism of rural revitalization performance based on the research of 131 cities and autonomous prefectures in western China to further put forward relevant policy suggestions and establish a new framework that integrates “performance evaluation, evolution model, driving mecha… Show more

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Cited by 9 publications
(4 citation statements)
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“…Zhang Ping et al used geographic information systems (GIS) to evaluate the development of the digital countryside in Gansu Province and then formulated targeted development strategies according to the development level of each region [ 32 ]. Yang Xiaojuan et al used the AHP and BCG matrix to evaluate the development of rural revitalization in 131 cities in western China and studied rural revitalisation performance’s evolution model and driving mechanism [ 33 ].…”
Section: Review Of the Literaturementioning
confidence: 99%
“…Zhang Ping et al used geographic information systems (GIS) to evaluate the development of the digital countryside in Gansu Province and then formulated targeted development strategies according to the development level of each region [ 32 ]. Yang Xiaojuan et al used the AHP and BCG matrix to evaluate the development of rural revitalization in 131 cities in western China and studied rural revitalisation performance’s evolution model and driving mechanism [ 33 ].…”
Section: Review Of the Literaturementioning
confidence: 99%
“…The geographical pattern of carbon emission density of urban industrial land and its change is a complex process, affected by the combined effect of economic scale, industrial structure and industrialization level, government intervention, degree of opening up, scientific and technological levels, and other factors. Based on the research experiences of related scholars, we chose the gross domestic product (GDP) to represent the impact of the scale effect of the urban economy in this paper [51,52], the proportion of the tertiary industry (PTI) and per capita GDP (PCGDP) to represent the industrial structure and the industrialization process [53,54], the fiscal expenditure (FE) to represent the impact of government intervention [55], the international trade goods export (ITGE) and foreign direct investment (FDI) to represent the influence of openness to the outside world and the degree of globalization [56], and the number of patent authorizations (NPA) to represent the impact of innovation [57]. It is notable that the distribution and evolution of carbon density come close to the natural environment, especially the geomorphology [58], but they are not included in the analytical framework of this paper due to the lack of the necessary complete data.…”
Section: Indicator Selection and Data Sourcementioning
confidence: 99%
“…To effectively address the problems and challenges in rural construction and governance, Chinese government has proposed the strategy of "rural revitalization", with the construction of digital villages as a key starting point (Yang et al, 2023). In 2018, the "Digital Rural Development Strategy" first appeared in the central government's rural revitalization policies and the National Strategic Planning for Rural Revitalization (2018Revitalization ( -2022, followed by the frequent introduction of special policies and plans for rural digital development, including the outline, strategy, planning of digital village and agriculture, highlights of digital village development, and rural digitalization guide.…”
Section: Introductionmentioning
confidence: 99%