Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

August 5, 2024


Pages


DOI

Article

Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective

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Authors

Huaping Li Affiliation:
PingDingShan University, Pingdingshan, Henan, 467000, China.
, Yutao Zhang Affiliation:
PingDingShan University, Pingdingshan, Henan, 467000, China.
, Pinwen Zhu Affiliation:
PingDingShan University, Pingdingshan, Henan, 467000, China.
and Xian Zhang Affiliation:
HuangHuai University, Zhumadian, Henan, 463000, China.


Abstract

This paper first analyzes and researches the current practice status of digital transformation of Chinese agricultural production from production, credit, and management aspects. Then, it analyzes the measurement of agricultural production efficiency and the factors influencing agricultural production efficiency in the context of digital transformation by using DEA measurement tools. The impact of digitalization level enhancement on rural economic structure is also analyzed and explained from the perspective of technological progress bias through spatial econometric models. The results show that the level of digitalization promotes the development of agricultural modernization in terms of the change in the ranking of scores between 2014 and 2023. The correlation coefficients of the level of digital economy development, financial support for agriculture, and urbanization rate are 0.483, 1.163, and 0.764, which significantly promote the efficiency of agricultural production in China. There is a significant spatial dependence relationship between economic structure and digital transformation (P<0.001).


Keywords

DEA measurement tool, Spatial econometric model, Digitalization level, Rural economic structure, Agricultural production efficiency, 11A63


Citation

Li, H., Zhang, Y., Zhu, P., & Zhang, X. (2024). Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2033

Published by: Engineering Journals

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