Spatio-temporal Risk and Severity Analysis of Soybean Rust in the United States

被引:0
|
作者
Bekkerman, Anton [1 ]
Goodwin, Barry K. [1 ]
Piggott, Nicholas E. [1 ]
机构
[1] N Carolina State Univ, Dept Agr & Resource Econ, Raleigh, NC 27695 USA
关键词
insurance contracts; risk analysis; soybean rust; zero-inflated model;
D O I
暂无
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Soybean rust is a highly mobile infectious disease and can be transmitted across short and long distances. Soybean rust is estimated to cause yield losses that can range between 1%-25%. An analysis of spatio-temporal infection risks within the United States is performed through the use of a unique data set. Observations from over 35,000 field-level inspections between 2005 and 2007 are used to conduct a county-level analysis. Statistical inferences are derived by employing zero-inflated Poisson and negative binomial models. In addition, the model is adjusted to account for potential endogeneity between inspections and soybean rust finds. Past soybean rust finds and inspections in the county and in the surrounding counties, weather and overwintering conditions, and plant maturity groups and planting dates are all found to be significant factors determining soybean rust. These results are then used to accordingly price annual insurance contracts or indemnification programs that cover soybean rust damages.
引用
收藏
页码:311 / 331
页数:21
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