Zhao Liping, Rao Xi, Lin Qiaowen
School of Economics, South-central University For Nationalities, Wuhan, Hubei 430074, China; Hubei Institute of Building a Well Off Society in an All Round Way, Central South University for Nationalities, Wuhan 430074, China.
School of Economics, South-central University For Nationalities, Wuhan, Hubei 430074, China.
Sci Total Environ. 2023 Dec 10;903:166544. doi: 10.1016/j.scitotenv.2023.166544. Epub 2023 Sep 5.
The digital economy is an important engine for China's economic and social development, accelerating the development of agricultural digitization and promoting the integration of agricultural digitization. Low-carbon production is an inevitable trend in China's current economic development. The article takes 30 provinces (cities and districts) in China as research objects, constructing and measuring indicators of digitization level and carbon emission intensity of agricultural production from 2006 to 2018. It classifies agricultural production into planting and animal husbandry and uses a basic regression model to study their dynamic relationships. A mediating effect model is used to explore the specific mechanism path of the digital economy affecting carbon emission intensity, and a regional heterogeneity analysis is conducted. The study found that: (1) The level of digitalization can significantly reduce the carbon intensity of agricultural production; (2) Digitalization can reduce China's carbon intensity by promoting the level of agricultural technological inputs, the level of human capital and the urbanization rate. (3) There are regional and sectoral differences in the impact of digitization on the carbon intensity of agricultural production. The impact on the plantation sector is greater than that on the livestock sector, and the carbon reduction effect is slightly greater in the central and western regions than in the eastern regions.
数字经济是中国经济社会发展的重要引擎,加速了农业数字化发展,推动了农业数字化融合。低碳生产是中国当前经济发展的必然趋势。文章以中国30个省(市、区)为研究对象,构建并测度了2006—2018年农业生产数字化水平和碳排放强度指标。将农业生产分为种植业和畜牧业,运用基本回归模型研究它们之间的动态关系。采用中介效应模型探究数字经济影响碳排放强度的具体作用机制路径,并进行区域异质性分析。研究发现:(1)数字化水平能够显著降低农业生产的碳强度;(2)数字化通过提升农业技术投入水平、人力资本水平和城镇化率降低中国的碳强度;(3)数字化对农业生产碳强度的影响存在区域和部门差异。对种植业部门的影响大于畜牧业部门,中西部地区的碳减排效果略大于东部地区。