| Literature DB >> 33517008 |
Xiaolong Feng1, Huanguang Qiu2, Jie Pan3, Jianjun Tang4.
Abstract
This study assesses the impacts of climate change on net livestock revenue, grazing intensity, and net revenue per livestock, based on a panel dataset of 959 herder households from 18 counties in three major pastoral provinces in China. The Ricardian model and the Hsiao two-step method are applied to quantify the impacts on household-level livestock production made by long-term changes of temperature and precipitation and short-term occurrence of natural disasters. The results indicate that long-term temperature leads to decreased net livestock revenue and net revenue per livestock, whereas long-term precipitation improves revenue per livestock. Next, both long-term annual temperature and precipitation result in an increase of grazing intensity. A further analysis based on the simulation of future climate change predicts that the future increase in temperature will have a negative influence on both net revenue and net revenue per livestock, while the precipitation increment will have a positive effect on livestock production.Keywords: China; Climate change; Hsiao two-step method; Livestock production
Year: 2021 PMID: 33517008 DOI: 10.1016/j.scitotenv.2020.144838
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963