Research on the Effects and Mechanisms of Digital Intelligence on Agricultural Carbon Emissions

DOI

10.2991/978-94-6463-888-2_58How to use a DOI?

Keywords

Digital Intelligence; Agricultural Carbon Emission; Green Low-Carbon

Abstract

To synergistically promote the development of new quality agricultural productivity and accelerate the comprehensive green and low-carbon transformation of the economy and society. Based on the constructed Numerical Intelligence Indicator System, this paper quantitatively measures the development level of Numerical Intelligence in each province based on the panel data of 30 provinces (except Tibet, Hong Kong, Macao, and Taiwan) from 2011–2022, and constructs a two-way fixed model, mediation effect model, and threshold effect model to examine the effect and mechanism of Numerical Intelligence on agricultural carbon emission reduction. The study finds that digital intelligence has a significant effect on agricultural carbon emission reduction, and the conclusion still holds after a series of robustness tests. Numerical Intelligence promotes agricultural carbon emission reduction by promoting green technology innovation and improving rural human capital. The results of the threshold effect show that the inhibitory effect of digital intellectualization on agricultural carbon emissions is also affected by the degree of government intervention and the level of agricultural mechanization. Further, there is significant regional and environmental regulation heterogeneity in the impact of Numerical Intelligence on agricultural carbon emissions. In both the central and northeastern regions, Numerical Intelligence shows a significant inhibitory effect, and the effect is greater in the northeastern region; the emission reduction effect is significant in regions with high levels of environmental regulation.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hesi Pan
AU  - Dingzhen Xing
PY  - 2025
DA  - 2025/12/03
TI  - Research on the Effects and Mechanisms of Digital Intelligence on Agricultural Carbon Emissions
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 598
EP  - 617
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_58
DO  - 10.2991/978-94-6463-888-2_58
ID  - Pan2025
ER  -