Research on the Influencing Factors of Rural Revitalization Based on the Entropy Weight Method

This study explores the pivotal factors influencing the success of rural revitalization under the strategic framework of rural development. The research delves into the five critical dimensions: industrial prosperity, ecological habitability, rural civilization, effective governance, and wealth generation. Data was sourced from historical statistical yearbooks and the CNKI database on rural revitalization. Employing the entropy weight method, data was standardized to calculate the weights of these factors. Moreover, the study's approach of using the entropy weight method could be applied in other multidisciplinary research areas to assess the weightage of different factors influencing various socio-economic phenomena. This could be particularly useful in the field of rural development studies, where understanding the relative importance of different factors is crucial for effective policy formulation and implementation. The study also underscores the importance of continued research and practice in rural governance, which is vital for achieving the goals of a prosperous, harmonious, and sustainable rural society.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-02-27
DOI
https://doi.org/10.54097/010g8y25
Primary Topic
Regional Development and Environment
Type
article
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article

Research on the Influencing Factors of Rural Revitalization Based on the Entropy Weight Method

R. Ma
Highlights in Business Economics and Management
Regional Development and Environment
article

Research on the Influencing Factors of Rural Revitalization Based on the Entropy Weight Method

R. Ma
article en

Abstract

This study explores the pivotal factors influencing the success of rural revitalization under the strategic framework of rural development. The research delves into the five critical dimensions: industrial prosperity, ecological habitability, rural civilization, effective governance, and wealth generation. Data was sourced from historical statistical yearbooks and the CNKI database on rural revitalization. Employing the entropy weight method, data was standardized to calculate the weights of these factors. Moreover, the study's approach of using the entropy weight method could be applied in other multidisciplinary research areas to assess the weightage of different factors influencing various socio-economic phenomena. This could be particularly useful in the field of rural development studies, where understanding the relative importance of different factors is crucial for effective policy formulation and implementation. The study also underscores the importance of continued research and practice in rural governance, which is vital for achieving the goals of a prosperous, harmonious, and sustainable rural society.

Highlights in Business Economics and ManagementVol. 51
Qinghai University (CN)
Openalex Percentile: Top 89%
Regional Development and Environment
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Research on the Influencing Factors of Rural Revitalization Based on the Entropy Weight Method — R. Ma · Highlights in Business Economics and Management (2025) | TGRS Research Map | TGRS