期刊
REGIONAL ENVIRONMENTAL CHANGE
卷 13, 期 -, 页码 S5-S14出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10113-012-0354-x
关键词
US Agriculture; Climate bias; Value of information; Production frontier
资金
- Office of Science and Technology
- Office of Climate, Water and Weather Services at The National Oceanic and Atmospheric Administration-National Weather Service
- USDA/NIFA [2011-0828]
A multi-output/input stochastic distance frontier model is used to analyze the effect of interannual climatic variability on agricultural production and to assess the impact of climate forecasts on the economic performance of this sector in the Southeastern United States. The results show that the omission of climatic conditions when estimating regional agricultural production models could lead to biased technical efficiency (TE) estimates. This climate bias may significantly affect the effectiveness of rural development policies based on regional economic performance comparisons. We also found that seasonal rainfall and temperature forecasts have a positive effect on economic performance of agriculture. However, the effectiveness of climate forecasts on improving TE is sensitive to the type of climate index used. Policy implications stemming from the results are also presented.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据