Li Yinghui, You Xing, Fu Junzhi, Zhou WenJing
Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China; School of Economics, Chongqing Technology and Business University, Chongqing, China.
University of Chinese Academy of Social Sciences, Beijing, China.
J Environ Manage. 2025 Sep;392:126790. doi: 10.1016/j.jenvman.2025.126790. Epub 2025 Aug 5.
Agricultural modernization (AM) is a core element of green development and a key pillar for modern industrial upgrading. It plays an essential role in boosting productivity, sustaining ecology, and enhancing system resilience. With the rapid growth of the digital economy (DE), digital technologies have increasingly penetrated agriculture, making digital transformation a vital means to advance AM. This process optimizes production and resource use, improves rural conditions, and drives agriculture toward modernization and high-quality green growth. Against this backdrop, this paper investigates how the DE drives AM. Based on panel data from 30 Chinese provinces and municipalities for 2012-2022, fixed-effects, mediation, and threshold models are applied to test the DE's direct, indirect, and nonlinear impacts on AM. The findings indicate that the DE significantly improves AM at the 1 % level, primarily by upgrading the agricultural industrial structure and enhancing rural entrepreneurial capacity. Further threshold effect analysis demonstrates that the positive influence of the DE on AM exhibits clear stage-dependent characteristics, intensifying as the level of AM and the degree of integration between agriculture and the service sector increase. This effect becomes especially significant when AM attains a medium-to-high level and when the agricultural and service sector integration index exceeds 0.426. However, when the proportion of labor return exceeds 0.072, excessive return migration may distort factor allocation and weaken the positive impact of the DE on AM. Accordingly, it is recommended that regions tailor their strategies to local development stages and resource endowments, improve rural digital infrastructure, deepen the integration of modern services with agriculture, foster diversified smart agriculture and entrepreneurship support systems, and effectively mitigate resource misallocation risks caused by irrational labor return, thereby enhancing the synergistic effect of the DE and AM.
农业现代化是绿色发展的核心要素,也是现代产业升级的关键支柱。它在提高生产力、维护生态和增强系统韧性方面发挥着至关重要的作用。随着数字经济的快速发展,数字技术日益渗透到农业领域,使数字转型成为推进农业现代化的重要手段。这一过程优化了生产和资源利用,改善了农村条件,并推动农业走向现代化和高质量绿色增长。在此背景下,本文研究数字经济如何推动农业现代化。基于2012 - 2022年中国30个省直辖市的面板数据,运用固定效应模型、中介效应模型和门槛模型,检验数字经济对农业现代化的直接、间接和非线性影响。研究结果表明,数字经济在1%的水平上显著促进了农业现代化,主要是通过升级农业产业结构和增强农村创业能力来实现的。进一步的门槛效应分析表明,数字经济对农业现代化的积极影响呈现出明显的阶段依赖特征,随着农业现代化水平和农业与服务业融合程度的提高而增强。当农业现代化达到中高水平且农业与服务业融合指数超过0.426时,这种影响尤为显著。然而,当劳动报酬比例超过0.072时,过度的报酬回流可能会扭曲要素配置,削弱数字经济对农业现代化的积极影响。因此,建议各地区根据当地发展阶段和资源禀赋制定策略,改善农村数字基础设施,深化现代服务业与农业的融合,培育多元化的智慧农业和创业支持体系,有效降低因不合理劳动报酬导致的资源错配风险,从而增强数字经济与农业现代化的协同效应。