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<p>The scale yield function has a great influence on the study of cross-border logistics platform building and rural agricultural products e-commerce selling. This paper analyzes the main factors affecting the effect of cross-border logistics platform construction through factor analysis. Among them, platform content construction, platform service level, platform user management, platform supply chain construction, and platform development potential are the most important factors of cross-border logistics platform construction. The linear combination is used to construct a cross-border logistics platform integrating content, service, management, supply, and development. The regression method is applied to calculate the factor scores, and the assumed return to scale is applied to calculate the relevant data after the construction of the cross-border logistics platform. Seeking the maximum scale return rate is greater than 80%, the return is higher. The experiment proves that the construction of a cross-border logistics platform can expand the rural agricultural products e-commerce sales market from mainly China to parallel sales in China and European and American countries, etc., and improve the scale gain. Relying on the construction of a cross-border logistics platform, the total sales of rural agricultural products and e-commerce sales in foreign countries increased by more than 10 million, and the revenue was higher than 4.5 times of previous years. Thus, the construction of a cross-border logistics platform is conducive to expanding the market of rural agricultural products e-commerce sales and increasing rural agricultural products e-commerce sales.</p>
</abstract>

The scale yield function has a great influence on the study of cross-border logistics platform building and rural agricultural products e-commerce selling. This paper analyzes the main factors affecting the effect of cross-border logistics platform construction through factor analysis. Among them, platform content construction, platform service level, platform user management, platform supply chain construction, and platform development potential are the most important factors of cross-border logistics platform construction. The linear combination is used to construct a cross-border logistics platform integrating content, service, management, supply, and development. The regression method is applied to calculate the factor scores, and the assumed return to scale is applied to calculate the relevant data after the construction of the cross-border logistics platform. Seeking the maximum scale return rate is greater than 80%, the return is higher. The experiment proves that the construction of a cross-border logistics platform can expand the rural agricultural products e-commerce sales market from mainly China to parallel sales in China and European and American countries, etc., and improve the scale gain. Relying on the construction of a cross-border logistics platform, the total sales of rural agricultural products and e-commerce sales in foreign countries increased by more than 10 million, and the revenue was higher than 4.5 times of previous years. Thus, the construction of a cross-border logistics platform is conducive to expanding the market of rural agricultural products e-commerce sales and increasing rural agricultural products e-commerce sales.

Rural agricultural products e-commerce selling and cross-border logistics platform construction based on scale yield function

Department of Logistics and Supply Chain Management

Zhejiang Technical Institute of Economics

Zhejiang College, Shanghai University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

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

The scale yield function has a great influence on the study of cross-border logistics platform building and rural agricultural products e-commerce selling....

Rural agricultural products e-commerce selling and cross-border logistics platform construction based on scale yield function

Published Online: Jun 20, 2024

Page range: -

Received: Apr 08, 2022

Accepted: Sep 20, 2022

DOI: https://doi.org/10.2478/amns-2024-1824

Keywords
Return to scale function, Factor analysis method, Linear combination, Regression method, Platform construction

© 2024 Yuzang Tang et al., published by Sciendo

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

Rural agricultural products e-commerce selling and cross-border logistics platform construction based on scale yield function

Published Online: Jun 20, 2024

Page range: -

Received: Apr 08, 2022

Accepted: Sep 20, 2022

DOI: https://doi.org/10.2478/amns-2024-1824

KeywordsReturn to scale function, Factor analysis method, Linear combination, Regression method, Platform construction

© 2024 Yuzang Tang et al., published by Sciendo

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

Keywords
Return to scale function, Factor analysis method, Linear combination, Regression method, Platform construction