传统PCI
中国
面板数据
人口
溢出效应
环境科学
农业经济学
经济
医学
地理
计量经济学
环境卫生
内科学
考古
微观经济学
心肌梗塞
作者
Dan Wang,Chongcheng Chen,Ningteng Zhu,Xuerong Xu
出处
期刊:Heliyon
[Elsevier BV]
日期:2024-05-01
卷期号:10 (10): e31215-e31215
被引量:7
标识
DOI:10.1016/j.heliyon.2024.e31215
摘要
Studying the impact of agricultural digitalization (ADT) on the carbon emission intensity of planting industry (PCI) can help promote sustainable development and realize the "dual carbon" goal. Based on the panel data of 31 provinces in China from 2010 to 2020, this study uses the entropy weight method and emission coefficient method to measure the development level of ADT and PCI, respectively. By using the regression analysis method, as well as the robustness test, heterogeneity test, and spatial spillover effect and threshold tests, the impact of ADT on PCI was examined. The results are as follow: (1) PCI is high in the north and low in the south, and the north-south divide is becoming prominent. (2) ADT in China can significantly reduce PCI, as verified through the robustness test. (3) Regional differences exist in the impact of ADT on PCI, with the most significant effect observed in the northeast region, followed by the western and central regions. (4) ADT exerts a significant spatial spillover effect on PCI and an inhibitory effect on PCI of adjacent provinces. (5) The proportion of urban population exerts a threshold effect in the impact of ADT on PCI. When the urban population ratio crosses 69 %, the inhibitory effect of agricultural carbon emissions decreases marginally. Therefore, promoting the green and low-carbon development of the planting industry is highly recommended.
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