Exploring Regional Differences in China's New Agricultural Quality Productivity Forces
Wenpeng Huang, Chenglong Jiang, Chuanli Hang, Chengbai Zhao
Asian Research Journal of Agriculture · pp. 1143–1156 · Published 29 Dec 2024
10.9734/arja/2024/v17i4629Abstract
This paper focuses on the connotation and characteristics of China's new agricultural quality productivity forces. By constructing an evaluation index system and applying the entropy method, the dynamic measurement of new agricultural quality productivity forces levels across 31 provinces from 2012 to 2022 is conducted. The kernel density estimation method is then used to analyze its spatiotemporal evolution characteristics. The study finds that China's new agricultural quality productivity forces generally show a trend of annual improvement, manifested in a steady increase in productivity levels and a gradual narrowing of regional disparities. However, there are still significant differences in the development speed and levels between regions, with the eastern region performing the best, the central region improving slowly, and the western region showing the smallest increase, with the lowest productivity levels and notable regional imbalance. Based on the research findings, this paper offers policy recommendations for promoting the development of new agricultural quality productivity forces: First, differentiated development strategies should be tailored to local conditions. The eastern region should continue to leverage its economic and technological advantages to promote agricultural digitization, intelligence, and green sustainable development. The central region should focus on enhancing agricultural infrastructure, optimizing industrial structures, and developing specialized high-value-added agriculture. The western region should strengthen policy support, improve infrastructure, and promote the dissemination of agricultural technologies.
Cited by 1
Zengye Su, Yu-Dan Nie, Zhiyi Ye · Proceedings of the 2025 International Conference on Smart Agriculture and Artificial Intelligence · 2025
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