摘要
构建数字经济与农业全要素生产率的指标体系,并运用熵权指数法测算了不同省份数字经济与农业全要素生产率的水平。研究表明,近年来我国数字经济和农业全要素生产率均呈现显著增长趋势,这一现象引发了关于数字经济如何影响农业全要素生产率的理论探讨,并催生了相关研究假设的提出。为了验证假设的合理性,综合运用双向固定效应模型等计量模型,研究数字经济对农业全要素生产率的影响效应。结果表明,数字经济对农业全要素生产率具有显著的正向影响。数字经济通过生产、流通与销售全链条数字化显著提升了农业全要素生产率,且存在区域异质性:东部地区效应最强,中部次之,西部不显著。因此,要结合各个区域的特殊性,来制定本区域的措施,从而破解发展约束,刺激经济发展。
This article constructs an indicator system for the digital economy and agricultural total factor productivity,and uses the entropy weight index method to measure the level of digital economy and agricultural total factor productivity in different provinces.Research has shown that in recent years,both China's digital economy and agricultural total factor productivity have shown significant growth trends.This phenomenon has sparked theoretical discussions on how the digital economy affects agricultural total factor productivity and has led to the proposal of relevant research hypotheses.Next,in order to verify the validity of the hypothesis,this article comprehensively uses econometric models such as the two-way fixed effects model to study the impact of the digital economy on agricultural total factor productivity.Research has shown that the digital economy has a significant positive impact on agricultural total factor productivity.The digital economy has significantly improved agricultural total factor productivity through the digitization of the entire production,circulation,and sales chain,and there is regional heterogeneity:the effect is strongest in the eastern region,followed by the central region,and not significant in the western region.Therefore,it is necessary to combine the particularities of each region to specify measures for this region,in order to break development constraints and stimulate economic development.
作者
金发奇
吝志远
JIN Faqi;LIN Zhiyuan(Business School,Central South University,Chang’sha 410000,Hunan,China)
出处
《普洱学院学报》
2025年第4期1-9,共9页
Journal of Pu'er University
关键词
数字经济
农业全要素生产率
双向固定效应模型
熵权法
digital economy
agriculture
total factor productivity
two-way fixed effects model
entropy weight method