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THE IMPACTS OF CLIMATE CHANGE ON NOMADIC LIVESTOCK HUSBANDRY IN MONGOLIA

handle: 1885/248828
This study conducts cross-sectional analysis to investigate impact of climate change on livestock sector in Mongolia using data gathered from a household survey and aggregate soum (district) level data. The soum-level analysis reveals the marginal effect of precipitation has a positive effect on livestock/ha up to 26[Formula: see text]mm/mo and thereafter a harmful effect. The marginal effect of warming on livestock/ha is not significant until annual temperatures exceed 0.4[Formula: see text]C whereupon warming is strictly harmful. The household-level analysis suggests warming will decrease earnings per animal while overall earnings per household increases with a small change in climate but declines with larger changes. However, the household data also suggests warming would increase the total value of livestock. The results of the different analyses are therefore conflicting suggesting one or more of the analyses are plagued by missing variables.
- Australian National University Australia
- Peking University China (People's Republic of)
- Peking University China (People's Republic of)
livestock density, 550, Mongolia, 333, impact, Climate change, net revenue
livestock density, 550, Mongolia, 333, impact, Climate change, net revenue
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).8 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
