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<p>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.</p>
</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.

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

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study deeply explores the development influencing factors and performance evaluation of new agricultural management subjects under the perspective of...

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

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 17. Jan. 2024

Akzeptiert: 25. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0661

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

© 2024 Jianlin Kang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 17. Jan. 2024

Akzeptiert: 25. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0661

SchlüsselwörterNew agricultural management main body, Rural revitalization development impact, Performance evaluation model, Quantitative analysis

© 2024 Jianlin Kang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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