Impact of Digital Village Construction on Agricultural Carbon Emissions: Evidence from Mainland China

Author:

Zhang Yue1,Feng Mengwei1,Fang Zhengshuai1,Yi Fujin2,Liu Zhenzhen3

Affiliation:

1. School of Management, Hebei University, Baoding 071002, China

2. School of Public Affairs, Zhejiang University, Hangzhou 310058, China

3. College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China

Abstract

Reducing agricultural carbon emissions is required to reach the goal of carbon neutrality and mitigate the effects of climate change. With the advent of the digital economy, we aimed to determine if digital village construction can achieve carbon reduction in agriculture. As such, in this study, we used balanced panel data for 30 provinces in China from 2011 to 2020 to conduct an empirical analysis based on measuring the digital village construction level in each province. We found the following: Firstly, digital village construction is conducive to reducing the carbon emitted from agriculture, and the results of further tests showed that the carbon reduction effect of digital villages is mainly based on the reduction in carbon emissions from chemical fertilisers and pesticides. Secondly, the digital village construction has a stronger inhibiting effect on agricultural carbon emissions in major grain-producing areas than in non-major grain-producing areas. The level of rural human capital is the limiting condition for digital village construction to enable green agricultural development; in areas with higher levels of human capital, digital village construction has a significant inhibiting effect on agricultural carbon emissions. The above conclusions are valuable for the future promotion of digital village construction and the design of a green development model for agriculture.

Funder

National Social Science Foundation of China

National Natural Science Fund Project

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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