Abstract
Rural vitalization (RV) has attracted more and more attention in China, especially since the Rural Vitalization Strategy (RVS) was proposed to restrict rural decline in 2017. The evaluation of RV is an effective means to objectively identify the characteristics and problems of rural development, so exploring scientific and rational evaluation methods is important for sustainable rural development. Therefore, this study builds a data-driven evaluation framework from a “bottom-up” perspective, and selects Hubei Province as the object to evaluate the effectiveness of RV. The evaluation index system is formed based on the concept and connotation of RV, which contains six dimensions, namely thriving businesses (TB), pleasant living environments (PLE), social etiquette and civility (SEC), effective governance (EG), living in prosperity (LP), and organization system (OS). The empirical results indicate that there is a low level of variation of the total scores but an obvious disparity in the dimensional scores in 13 prefecture-level and 83 county-level regions. At county-level, the regional development stage has an impact on the effectiveness of RV, and regions with a higher economy or endowed with better resources perform better. The results of spatial analysis further reveal that there is regional agglomeration as well as differences in various dimensions, and regions with characteristic industries or policy support perform better. Compared with the traditional evaluation method, differentiated evaluation objectives and diversified data are considered in the evaluation process of this study. The results and discussion shown in this study could provide empirical evidence for policymakers to effectively promote RV in the future.
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The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This work was supported by the National Natural Science Foundation in China (Grant Nos. 42171263, 72204093); Ministry of Education of Humanities and Social Science Project (Grant Nos. 21YJA630033, 21YJC630118).
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All authors contributed to the study conception and design. Conceptualization, Y.H. and Y.S.; methodology, X.L. and Y.S; software, X.L; formal analysis, X.L. and Y.S; investigation, Y.H., X.L. and Y.S.; data curation, X.L.; writing—original draft preparation, Y.H., X.L. and Y.S.; writing—review and editing, Y.H., X.L., Y.S., and C.H.; visualization, X.L.; supervision, Y.H.; project administration, Y.H.; funding acquisition, Y.H. All authors read and approved the final manuscript.
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Hu, Y., Li, X., Song, Y. et al. Data-driven evaluation framework for the effectiveness of rural vitalization in China: an empirical case study of Hubei Province. Environ Sci Pollut Res 30, 20235–20254 (2023). https://doi.org/10.1007/s11356-022-23393-y
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DOI: https://doi.org/10.1007/s11356-022-23393-y