Rural Revitalization Evaluation of Resource-based Counties in Anhui Province under Entropy Weight-TOPSIS Methods — A Case Study of Coal-based Counties

Shaohua Qiu

Chapter 4 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 33-45 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Taking the county economic development of coal-based cities in Anhui Province as the research object, this paper selects three first-level indicators of thriving businesses, pleasant living environments, prosperity, and 26 second-level indicators to establish an evaluation indicator system of rural revitalization. The entropy weight method is used to determine the weight of each evaluation indicator, and the TOPSIS analysis method is employed to evaluate the county economic development of coal-based cities. The results show that thriving businesses are an important indicator to measure the status of rural revitalization, followed by pleasant living environments, and the weight of prosperity is relatively low. Specifically, the development degree of agriculture, forestry, animal husbandry, fishery, service industries, labor productivity, and reservation rate of cultivated land are important influencing factors of thriving businesses. Forest coverage rate is an important influencing factor of pleasant living environments. The income ratio of urban and rural residents and the per capita disposable income of rural residents are important influencing factors of prosperity. The comprehensive evaluation of rural revitalization in nine counties found that the scores for pleasant living environments and prosperity vary to the greatest extent, while the comprehensive score and the scores for thriving businesses indicator exhibit minimal differences.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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