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揭开数字革命的面纱:催化农业全要素生产率

Unveiling the digital revolution: Catalyzing total factor productivity in agriculture.

作者信息

He Jing, Wei Zhuangyu, Lei Xiaokai

机构信息

College of Agriculture, Guangxi University, Nanning, Guangxi, China.

School of Economics, Guangxi University, Nanning, Guangxi, China.

出版信息

PLoS One. 2025 Mar 6;20(3):e0318333. doi: 10.1371/journal.pone.0318333. eCollection 2025.

Abstract

Drawing upon panel data spanning the years 2011 to 2022 and encompassing 30 provinces across China, this research employs empirical methodologies, specifically the difference GMM and system GMM methods, to scrutinize the impact of the digital economy on the total factor productivity (TFP) within the agricultural sector. The study reveals a significant augmentation of China's agricultural TFP attributable to the digital economy, a finding robust to various methodological examinations. Notably, the influential role of the digital economy on agricultural TFP is more conspicuous in the central and western regions, as well as in locales characterized by lower productivity levels. Mechanistic analysis underscores that the digital economy exerts a positive influence on agricultural TFP through the stimulation of innovation and marketization effects. Furthermore, strategic recommendations emerge from this study, advocating for the reinforcement of institutional and mechanistic reforms to cultivate an enabling external milieu for the digital economy to propel agricultural TFP. It is posited that regional development strategies should be tailored based on individual resource endowments and the extent of digital economic development. Additionally, there is a call to refine mechanisms promoting high-quality development in agriculture, with an overarching goal of comprehensively elevating agricultural TFP. The implications of this research extend to the imperative need for a nuanced and context-specific approach to advancing agricultural productivity across diverse regions in China.

摘要

本研究利用2011年至2022年的面板数据,涵盖中国30个省份,采用实证方法,特别是差分广义矩估计(difference GMM)和系统广义矩估计(system GMM)方法,来考察数字经济对农业部门全要素生产率(TFP)的影响。研究发现,数字经济显著提高了中国农业全要素生产率,这一结果在各种方法检验中都很稳健。值得注意的是,数字经济对农业全要素生产率的影响在中西部地区以及生产率水平较低的地区更为显著。机制分析强调,数字经济通过激发创新和市场化效应,对农业全要素生产率产生积极影响。此外,本研究还提出了战略建议,主张加强制度和机制改革,营造有利于数字经济推动农业全要素生产率的外部环境。研究认为,应根据各地资源禀赋和数字经济发展程度制定区域发展战略。此外,还呼吁完善促进农业高质量发展的机制,总体目标是全面提高农业全要素生产率。本研究的意义在于,迫切需要采取细致入微、因地制宜的方法来提高中国不同地区的农业生产率。

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本文引用的文献

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A study on the potential of digital economy in reducing agricultural carbon emissions.
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