Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
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Article Number | 02052 | |
Number of page(s) | 5 | |
Section | Green Low-Carbon and Energy Saving and Emission Reduction Applications | |
DOI | https://doi.org/10.1051/e3sconf/202127502052 | |
Published online | 21 June 2021 |
Spatial and temporal characteristics of carbon emissions from livestock farming in Yunnan province by state and city
College of Economic and Management, Yunnan Agricultural University, Kunming, China
* Corresponding author: j.chn@ynau.edu.cn
The livestock industry is a pillar industry of the rural economy and an important industry of the national economy in Yunnan Province, so it is important to study the spatial and temporal characteristics of carbon emissions from the livestock industry in Yunnan Province for the development of a modern, lowcarbon and recycling livestock industry. This study draws on provincial greenhouse gas emission factors to calculate the carbon dioxide equivalents generated by enteric fermentation and manure management of cattle, sheep, pigs and poultry in each state and city of Yunnan Province. The results show that: (1) the total carbon emissions from the livestock sector in Yunnan Province decreased from 25, 643, 900 t in 2008 to 24, 758, 200 t in 2018, with an average annual carbon emission of 30, 534, 500 t and an average annual growth rate of The average annual growth rate was 0.35%, showing a characteristic of “rising first then falling”. (2) In terms of spatial and temporal evolution, the layout of the low and high livestock carbon emission areas in Yunnan is stable, while the medium and high livestock carbon emission areas fluctuate frequently and the spatial and temporal differences in carbon emissions are obvious. Finally, based on the conclusions, targeted countermeasure suggestions are put forward.
© The Authors, published by EDP Sciences, 2021
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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