HOW CHINESE FARMERS CHANGE CROP CHOICE TO ADAPT TO CLIMATE CHANGE

2010 ◽  
Vol 01 (03) ◽  
pp. 167-185 ◽  
Author(s):  
JINXIA WANG ◽  
ROBERT MENDELSOHN ◽  
ARIEL DINAR ◽  
JIKUN HUANG

A multinomial logit model is estimated across the crop choices of a sample of thousands of Chinese farmers. As temperatures warm, farmers are more likely to choose cotton and maize, but less likely to choose soybeans, and vegetables. As precipitation increases, farmers are more likely to choose wheat and less likely to choose vegetables and potatoes. We simulate how crop choice outcomes might change using the empirical results and a set of climate change predictions for 2100. The magnitude of the change is sensitive to the climate scenario and to the seasonal and regional variation of climate change predictions within China.

2017 ◽  
Vol 08 (03) ◽  
pp. 1740001 ◽  
Author(s):  
LUN OU ◽  
ROBERT MENDELSOHN

This paper explores how southeast Asia farmers adapt to climate change. We develop three models: a logit model of livestock choice, an OLS model of total livestock value, and a multinomial logit model of species choice. The data were collected from five countries in Southeast Asia. We find that climate has a significant impact on farmers’ livestock choice. We use three climate projections to predict future impacts. Climate change would increase the probability of raising livestock. However, the total value of livestock owned per livestock farm will shrink 9%–10%. Climate change will cause farmers to choose smaller animals such as ducks, goats, and chicken rather than larger animals.


2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu

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