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农业数字化对种植业碳排放强度的影响:来自中国的证据

Impact of agricultural digitalization on carbon emission intensity of planting industry: Evidence from China.

作者信息

Wang Dan, Chen Chongcheng, Zhu Ningteng, Xu Xuerong

机构信息

College of Plant Protection, Fujian Agriculture and Forestry University.

College of Mechanical and Electronic Engineering, Northwest A&F University.

出版信息

Heliyon. 2024 May 13;10(10):e31215. doi: 10.1016/j.heliyon.2024.e31215. eCollection 2024 May 30.

Abstract

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.

摘要

研究农业数字化(ADT)对种植业碳排放强度(PCI)的影响,有助于推动可持续发展,实现“双碳”目标。基于2010—2020年中国31个省份的面板数据,本研究分别采用熵权法和排放系数法来测度ADT和PCI的发展水平。通过运用回归分析方法以及稳健性检验、异质性检验、空间溢出效应和门槛检验,考察了ADT对PCI的影响。结果如下:(1)PCI呈现北高南低的态势,南北差距日益凸显。(2)中国的ADT能够显著降低PCI,稳健性检验验证了这一点。(3)ADT对PCI的影响存在区域差异,东北地区影响最为显著,其次是西部地区和中部地区。(4)ADT对PCI具有显著的空间溢出效应,对相邻省份的PCI具有抑制作用。(5)城镇人口比重在ADT对PCI的影响中存在门槛效应。当城镇人口比重超过69%时,农业碳排放的抑制作用略有下降。因此,强烈建议推动种植业的绿色低碳发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c492/11130692/13f3da49bafb/gr1.jpg

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