数字经济与农业碳生产率:影响效应及实证检验
Digital Economy and Agriculture Carbon Productivity:Impact Effect and Empirical Test
刘战伟1
作者信息
- 1. 许昌学院 商学院,河南 许昌 461000
- 折叠
摘要
借助数字经济促进农业绿色发展,提高农业碳生产率,是实现农业"双碳"目标的重要路径.基于中国30 个省份2011-2020 年的面板数据,实证检验数字经济对农业碳生产率的影响及作用机制.结果表明:数字经济发展显著提高了农业碳生产率;运用替换解释变量法、剔除部分样本、调整样本期以及工具变量法等一系列稳健性检验,结论依然成立;技术创新与数字经济和农业碳生产率之间有正向关系,并对其起到中介传导作用.同时,数字经济对农业碳生产率的影响存在明显的异质性,东部地区、产销平衡区和高技术创新能力地区的影响效应最显著且最大.数字经济对农业碳生产率的提升存在门槛效应,在数字经济和技术创新跨越门槛值后,其促进作用显著增强.
Abstract
Using digital economy to promote green agricultural development and improve agricultural carbon produc-tivity is an important way to achieve the goal of"double carbon"in agriculture.Based on the panel data of 30 provinces in China from 2011 to 2020,this paper empirically tests the impact and mechanism of digital economy on agricultural carbon productivity.The results show that the development of digital economy has significantly im-proved agricultural carbon productivity.A series of robustness tests were conducted using methods such as repla-cing explanatory variables,removing partial samples,adjusting sample periods,and instrumental variable analysis,and the conclusion remained valid.There is a positive relationship between technological innovation and the digital economy and agricultural carbon productivity,and it plays a mediating role in transmission.At the same time,the impact of the digital economy on agricultural carbon productivity has obvious heterogeneity,with the eastern re-gion,the production and sales balance zone and the high-tech innovation capability region having the most signifi-cant and largest impact effect.The digital economy has a threshold effect on the improvement of agricultural carbon productivity and its promoting effect is significantly enhanced when the digital economy and technological innova-tion cross the threshold value.
关键词
数字经济/技术创新/农业碳生产率/中介效应/门槛效应Key words
digital economy/technological innovation/agricultural carbon productivity/intermediary effect/threshold effect引用本文复制引用
基金项目
河南省高等学校人文社会科学研究一般项目(2024-ZZJH-177)
出版年
2024
NETL
NSTL
维普
万方数据