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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Explaining Share of Farm Loss Systemic with County Loss in the United States?

Explaining Share of Farm Loss Systemic with County Loss in the United States?

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2017, v.15 no.11, pp.21-29
https://doi.org/https://doi.org/10.15722/jds.15.11.201711.21
Kim, Sang-Hyo (Korea Rural Economic Institute)
Lim, Jin-Soon (Morrison School of Agribusiness, Arizona State University)
Zulauf, Carl (Department of Agricultural, Environmental and Development Economics, Ohio State University)

Abstract

Purpose - Relationship between farm and county losses determines whether the county program provides too little, too much, or similar amount of assistance relative to the loss on an individual farm. A review of the literature finds limited analysis of the determinants of this relationship. This paper conducts such an analysis using farm-level yield data. Research design, data, and methodology - Farm-level yield data from Illinois and Kansas farm business management associations are used for to calculate the correlation between farm and county loss and the share of farm loss systemic with county loss, and also for the regression analysis. Results - Average share of farm loss systemic with the county loss lies between 42% and 68%. The correlation between farm and county yield/revenue deviation from expected value is statistically significant in all four models. The coefficient is positive, implying the higher the correlation, the larger the share of farm loss that is systemic with the county loss. Conclusions - The findings of this study are consistent with the existing literature which argues that county variability may not be closely associated with farm variability. The findings of this study thus raise questions about the efficacy of area yield and revenue insurance products in helping farmers manage their risk.

keywords
Agricultural Risk Coverage, Agribusiness, Agricultural Marketing, County Loss, Systemic Loss

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The Journal of Distribution Science(JDS)