• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
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HOME > Archive > 2024 > Volume 12 Number 1 (2024) >
JOEBM 2024 Vol.12(1): 83-89
DOI: 10.18178/joebm.2024.12.1.780

The Impact of Digital Economy Development on Agricultural Carbon Emissions: An Empirical Study from Major Grain-producing Areas

Ying Liu and Shaoxiong Xu*
School of Economics and Management, North China University of Technology, Beijing, China
Email: 944818891@qq.com (S.X.X.)
*Corresponding author

Manuscript received July 7, 2023; revised August 11, 2023; accepted September 17, 2023; published March 14, 2024.

Abstract—Based on the panel data from 2011 to 2019 of 13 provinces (autonomous regions) of major grain-producing area of China, this paper uses emission factor method and entropy weight method to construct the index measurement system of agricultural carbon emissions and digital economy development respectively and analyzes the impact of digital economy development on agricultural carbon emissions. At the same time, the variable, energy structure, is introduced to verify how digital economy affects agricultural carbon emissions. The results show that the promotion of digital economy can significantly reduce agricultural carbon emissions, which is still confirmed after several robustness tests; the optimization of energy structure plays an intermediary role in the inhibition of agricultural carbon emissions by digital economy; the impact of digital economy on carbon emission is heterogeneous in different regions and regions with different carbon emission levels.

Keywords—agricultural carbon emissions, major grain-producing areas

Cite: Ying Liu and Shaoxiong Xu*, "The Impact of Digital Economy Development on Agricultural Carbon Emissions: An Empirical Study from Major Grain-producing Areas," Journal of Economics, Business and Management, vol. 12, no. 1, pp. 83-89, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

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