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.

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