Issue |
BIO Web Conf.
Volume 142, 2024
2024 International Symposium on Agricultural Engineering and Biology (ISAEB 2024)
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Article Number | 01001 | |
Number of page(s) | 7 | |
Section | Agricultural Economic Engineering and Market Management | |
DOI | https://doi.org/10.1051/bioconf/202414201001 | |
Published online | 21 November 2024 |
Characterization of Carbon Emissions from National Crop Production Based on China Statistical Yearbook Data
Plant protection, College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang 471000, China
* Corresponding author: 1986928561@qq.com
This study utilizes the China Statistical Yearbook 2023 as the data basis to explore the temporal and spatial changes of total agricultural carbon emissions and the importance of reducing agricultural carbon emissions to solve the greenhouse effect in the context of China's transition to green and low-carbon agricultural production. This is achieved through statistical analysis and calculations of fluctuations in agricultural output value, cultivated land area, irrigated area, fertilizer application, sown area of crops, and production from 2014 to 2022. The results indicate the following: 1) The total carbon emissions from agricultural land use in China exhibited a trend of initial increase followed by a decrease, reaching a peak of 128.9831 million tons in 2015; 2) Changes in cultivated land area contributed the highest average carbon emissions, followed by fertilizer application, accounting for 45.39% and 38.35% of the average carbon emissions in 2022, respectively; 3) The carbon emission reduction in national crop production is significantly influenced by policies, and controlling the amount of fertilizer use can effectively reduce carbon emissions from national crop production. The research findings provide a theoretical foundation for the transition to green and low-carbon agricultural production.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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