湖北农业科学 ›› 2026, Vol. 65 ›› Issue (1): 250-256.doi: 10.14088/j.cnki.issn0439-8114.2026.01.036

• 经济·管理 • 上一篇    

数字新质生产力、农业高质量发展对农业全要素碳生产率的影响

涂娇阳a, 阿布都热合曼·阿布迪克然木a,b, 郭勇超a, 贾丙奇a, 郑亦非c, 时成栋a   

  1. 新疆农业大学,a.公共管理学院; b. 农林经济管理博士后流动站; c.经济管理学院,乌鲁木齐 830052
  • 收稿日期:2025-08-11 出版日期:2026-01-25 发布日期:2026-02-10
  • 通讯作者: 阿布都热合曼·阿布迪克然木(1990-),男,新疆阿克苏人,讲师,博士,主要从事土地经济与政策研究,(电话)18119127181(电子信箱)abdrhm66@163.com。
  • 作者简介:涂娇阳(2004-),男,重庆人,在读本科生,专业方向为土地资源管理,(电话)19936461174(电子信箱)3999254667@qq.com。
  • 基金资助:
    自治区高校基本科研业务费科研项目(XJEDU2024J052); 国家大学生创新训练计划项目(202410758011)

The impact of digital new quality productivity and high-quality agricultural development on total factor carbon productivity in agriculture

TU Jiao-yanga, ABUDUREHEMAN Abudikeranmua,b, GUO Yong-chaoa, JIA Bing-qia, ZHENG Yi-feic, SHI Cheng-donga   

  1. a. School of Public Administration; b. Postdoctoral Research Station of Agricultural and Forestry Economics and Management; c. College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2025-08-11 Published:2026-01-25 Online:2026-02-10

摘要: 以中国30个省(区、市)为研究对象,构建固定效应模型与中介效应模型,实证检验2012—2021年数字新质生产力与农业高质量发展对农业全要素碳生产率的影响效应。结果表明,2012—2021年农业全要素碳生产率呈稳步增长的趋势,且中部地区农业全要素碳生产率较高。数字新质生产力对农业全要素碳生产率有显著的促进作用。数字新质生产力通过赋能农业高质量发展显著正向影响农业全要素碳生产率。进一步通过异质性分析发现,数字化水平较低地区和中部地区数字新质生产力对农业全要素碳生产率的促进作用更为显著。提出构建区域异质化数字技术推广体系,强化农业高质量发展的技术创新驱动,完善农业碳生产率的动态监测机制的建议。

关键词: 数字新质生产力, 农业高质量发展, 农业全要素碳生产率, 固定效应模型, 中介效应模型

Abstract: Taking China’s 30 provinces (autonomous regions and municipalities) as research objects, the fixed-effects model and mediation effect model were constructed to empirically test the impact of digital new quality productivity and high-quality agricultural development on agricultural total factor carbon productivity from 2012 to 2021. The results showed that the agricultural total factor carbon productivity had a steady growth trend from 2012 to 2021, and the agricultural total factor carbon productivity in central China was higher. The digital new quality productivity had a significant promoting effect on the agricultural total factor carbon productivity. Digital new quality productivity significantly positively impacted agricultural total factor carbon productivity by empowering high-quality agricultural development. Furthermore, heterogeneity analysis revealed that the digital new quality productivity had a more significant promoting effect on agricultural total factor carbon productivity in low digitalization level regions and central regions. It was suggested to establish a regional heterogeneous digital technology promotion system, strengthen the technological innovation driven by high-quality development of agriculture, and improve the dynamic monitoring mechanism of agricultural carbon productivity.

Key words: digital new quality productivity, high-quality development of agriculture, total factor carbon productivity in agriculture, fixed effect model, mediation effect model

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