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Identifying Risk Factors Affecting Weather- and Disease-Related Losses in the U.S. Farm-Raised Catfish Industry

Published online by Cambridge University Press:  15 September 2016

Terrill R. Hanson ,
Saleem Shaik ,
Keith H. Coble ,
Seanicaa Edwards  and
J. Corey Miller
Terrill R. Hanson
Affiliation:
Department of Agricultural Economics at Mississippi State University in Mississippi State, Mississippi
Saleem Shaik
Affiliation:
Department of Agribusiness and Applied Economics at North Dakota State University in Fargo, North Dakota
Keith H. Coble
Affiliation:
Department of Agricultural Economics at Mississippi State University in Mississippi State, Mississippi
Seanicaa Edwards
Affiliation:
Department of Agricultural Economics at Mississippi State University in Mississippi State, Mississippi
J. Corey Miller
Affiliation:
Department of Agricultural Economics at Mississippi State University in Mississippi State, Mississippi
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Abstract

Two double-limit tobit models are used to identify significant risk factors that most affect farm-raised catfish losses from weather-related events and from disease outbreaks. Results of the weather loss model indicate that the variables for operator education level, number of ponds, pond water depth, production management strategy, past experience with severe losses from low oxygen levels from off-farm power outages, past experience with severe losses from diseases, and being in the South are statistically significant. Results of the disease loss model indicate that the variables for operator experience and pond water depth are significant. Development of models explaining weather and disease losses through observable variables provides a better understanding of the interrelation between the loss perils and explanatory variables so management strategies can be developed to mitigate losses from identified risk factors.

Keywords

aquaculturetobitrisk managementcolumnarisenteric septicemia of catfishweather losses
Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 37 , Issue 1 , April 2008 , pp. 27 - 40
Copyright
Copyright © 2008 Northeastern Agricultural and Resource Economics Association 

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