Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

Analysis of Influential Elements and Performance Evaluation of the Development of New Business Subjects in the Perspective of Rural Revitalization

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Authors

Jianlin Kang Affiliation:
School of Marxism, Hebei University of Engineering, Handan, Hebei, 056038, China.


Abstract

This study deeply explores the development influencing factors and performance evaluation of new agricultural management subjects under the perspective of rural revitalization, provides data support through empirical analysis, and provides guidance for promoting rural economic development and optimizing agrarian management system. A performance evaluation model containing four dimensions of technology, finance, market and society is constructed using the hierarchical analysis method (AHP), multiplicative exponential weights (MEW) and entropy value method. The study results show that among the technical indicators, the member learning ability scores the highest (0.06575), while among the social indicators, the social responsibility and radiation ability scores are the same (both 0.087). Among the financial indicators, operational capacity scored the highest (0.07025) and customer acquisition rate scored the highest (0.07575) among the market indicators. The comprehensive evaluation shows that the technical indicators have the most significant impact on the development performance of new agricultural business entities. This study provides a quantitative analysis of the development of new farm business subjects, which is effective for promoting the rural revitalization strategy.


Keywords

New agricultural management main body, Rural revitalization development impact, Performance evaluation model, Quantitative analysis, 91B74


Citation

Kang, J. (2024). Analysis of influential elements and performance evaluation of the development of new business subjects in the perspective of rural revitalization. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0661

Published by: Engineering Journals

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