长江流域资源与环境 >> 2026, Vol. 35 >> Issue (1): 230-.doi: 10.11870/cjlyzyyhj202601018

• 农业发展 • 上一篇    下一篇

数字乡村发展对农业碳生产率的影响效应研究

郑家喜1,2,李华康1,2*,李贝1,2,郑伟3    

  1. (1.中南财经政法大学WTO与湖北发展研究中心,湖北 武汉 430074;2.中南财经政法大学工商管理学院,湖北 武汉 430074;3.华中农业大学园艺林学学院,湖北 武汉 430070)
  • 出版日期:2026-01-20 发布日期:2026-01-20

Impact of Digital Rural Development on Agricultural Carbon Productivity

ZHENG Jia-xi 1,2, LI Hua-kang 1,2 , LI Bei 1,2, ZHENG Wei 3   

  1. (1. WTO and Hubei Development Research Center, Zhongnan University of Economics and Law, Wuhan 430074, China; 2. School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430074, China; 3. College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)
  • Online:2026-01-20 Published:2026-01-20

摘要: 在“双碳”目标背景下,探究数字乡村发展对农业碳生产率的影响及其作用机制具有重要意义。基于2010~2022年中国30个省份的面板数据,采用双固定效应模型、中介效应模型和门槛效应模型对数字乡村发展促进农业碳生产率的影响效应进行了实证研究。结果表明:(1)考察期内各省数字乡村发展水平和农业碳生产率均呈上升趋势,且形成“东强西弱”空间分布格局。(2)数字乡村发展促进了农业碳生产率提升,且经过一系列稳健性检验后,该结论仍然成立。(3)数字乡村发展通过两条路径影响农业碳生产率,一是数字乡村发展通过提高绿色创新水平促进农业碳生产率提升。二是数字乡村发展通过增加农民收入促进农业碳生产率提升。(4)异质性分析发现,在东部、中部和西部地区数字乡村发展对农业碳生产率有显著促进作用,但在东北地区无显著影响。在粮食主产区、粮食产销平衡区和粮食主销区数字乡村发展对农业碳生产率均存在显著促进作用,但在粮食产销平衡区促进作用最大。在陡峭区和平缓区数字乡村发展对农业碳生产率都有显著促进作用,但在陡峭区促进作用更明显。(5)门槛效应结果表明,数字乡村发展对农业碳生产率的积极影响存在非线性递增的特点。

Abstract: In the context of the “dual-carbon” goal, it is of great significance to explore the impact of digital village development on agricultural carbon productivity. Based on the panel data of 30 provinces in China from 2010 to 2022, we empirically examined the effect of digital village development on agricultural carbon productivity. The results of this study showed that: (1) the level of digital village development and agricultural carbon productivity in all provinces showed an upward trend from 2010 to 2022. A spatial distribution pattern of “strong in the east and weak in the west”was indicated. (2) Digital village development promoted the increase of agricultural carbon productivity, and this conclusion still held after a series of robustness tests such as instrumental variables. (3) Digital rural development affected agricultural carbon productivity through two paths: one was through the improvement of the level of green innovation. The other was through the increase of farmers′ income. (4) Heterogeneity analysis showed that digital rural development had a significant effect on agricultural carbon productivity in the eastern, central and western regions, but not so in the northeastern region. There was a significant promotion effect of digital village development on agricultural carbon productivity in the main grain production area, the grain production and marketing balance area and the main grain marketing area. The promotion effect was the greatest in the grain production and marketing balance area. There was a significant promotion effect in both steep and gentle zones, however, the promotion effect was more obvious in the steep zones. (5) The results of the threshold effect showed that the positive impact of digital rural development on agricultural carbon productivity was characterized by a non-linear increment.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!