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数字经济如何推动农业机械化水平提升?——基于劳动力转移视角
覃朝晖,裴雪可,余思明,黄正伟*
0
(三峡大学 经济与管理学院,湖北 宜昌 443002)
摘要:
为探究数字经济对农业机械化水平提升的影响,采用2014—2021年中国1 610个县域面板数据,利用基准回归模型、门槛效应模型和中介效应模型,系统分析了数字经济对农业机械化水平提升的作用机制。结果表明:1)数字经济显著推动了农业机械化水平提升;2)门槛效应分析表明,随着农业机械化水平的提升,数字经济对农业机械化的影响作用边际递减;3)数字经济通过劳动力转移影响农业机械化水平提升;4)异质性分析表明,与所属地级市距离较远、土地经营规模小、地形坡度较大的地区数字经济对农业机械化水平的提升效果更明显。由此,提出发展现代农业机械化和实施差别化农机策略等政策建议。
关键词:  数字经济  农业机械化  劳动力转移  土地经营规模  地形坡度
DOI:10.11841/j.issn.1007-4333.2024.04.05
投稿时间:2023-06-14
基金项目:国家社会科学基金项目(21BMZ138)
How does the digital economy promote the level of agricultural mechanization? Based on the perspective of labor migration
QIN Zhaohui, PEI Xueke, YU Siming, HUANG Zhengwei*
(College of Economics and Management, China Three Gorges University, Yichang 443002, China)
Abstract:
In order to investigate the impact of digital economy on the enhancement of agricultural mechanization level, based on the panel data of 1 610 counties in China from 2014 to 2021, the impact of the digital economy on the enhancement of agricultural mechanization level was systematically analyzed by using benchmark regression model, threshold effect model, and mediation effect model. The resuls showed that:1) The digital economy significantly promoted the level of agricultural mechanization; 2) The results of threshold effect analysis showed that the influence of digital economy on agricultural mechanization has gradually weakened with the improvement of the level of agricultural mechanization; 3) The digital economy promoted labor transfer, and the transfer of labor force to non-agricultural industries inhibited the improvement of agricultural mechanization level; 4) The results of heterogeneity analysis showed that when the distance was further from the prefecture-level city to which it belonged, the scale of the land operation was small, and the slope of the terrainwas more significatnt, the enhancement effect of digital economy was more obvious. Therefore, policy recommendations,such as the development of present agricultural mechanization and implementation of a differentiated agricultural machinery strategy, are proposed in this study.
Key words:  digital economy  agricultural mechanization  labor migration  land management scale  topographic slope