当前位置：
X-MOL 学术
›
Sci. Total Environ.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Spatiotemporal variations and influencing factors of methane emissions from livestock in China: A spatial econometric analysis
Science of the Total Environment ( IF 9.8 ) Pub Date : 2024-05-06 , DOI: 10.1016/j.scitotenv.2024.173010 Haodong Zhao , Xinyue Jia , Jiayu Yang , Yan Wu , Xiaonan Wu , Liyu Du
Science of the Total Environment ( IF 9.8 ) Pub Date : 2024-05-06 , DOI: 10.1016/j.scitotenv.2024.173010 Haodong Zhao , Xinyue Jia , Jiayu Yang , Yan Wu , Xiaonan Wu , Liyu Du
|
In recent years, China has been implementing policies to improve the livestock industry in response to the global trend toward green and low-carbon development. These policies include the establishment of demonstration zones for high-standard agriculture, the relocation of farms to the north, etc. This study aims to investigate the impact of changes in the spatial structure of the livestock industry on methane emissions. It used panel data from 31 provinces in China from 2001 to 2021 and applied the IPCC methodology to quantify methane emissions at both the national and provincial levels. In addition, a spatial econometric model was used to analyze the impact of changes in the spatial structure of the livestock industry on methane emissions. The results show that methane from livestock in China decreased from 13.85 million tons in 2001 to 11.82 million tons in 2021. In addition, methane emissions from livestock in China show a significant spatial gradient and correlation. The Southwest has the highest methane emissions, accounting for 24 % of the total emissions. After controlling for spatial correlation and other factors in the model, it was found that the spatial structure of the livestock industry has a different influence on methane emissions both in the province and in neighboring provinces. To improve methane emission efficiency in the future, policies such as establishing functional zones for livestock farming, strengthening technological innovation and sharing for green development in agriculture, and promoting the optimization of agricultural and rural management structures should be implemented.
更新日期：2024-05-06
京公网安备 11010802027423号