Agricultural Insurance Pricing Model

Chao-Hui Yeh*, Ti-Ling Wang**
* Associate Professor, Department of Business Administration, I-Shou University, Taiwan.
** Associate Professor, Department of Business Administration, Kao Yuan University, Taiwan.
Periodicity:September - November'2014
DOI : https://doi.org/10.26634/jmgt.9.2.2988

Abstract

With growing concerns about climate change on agricultural yields and prices, the authors studied and designed the agricultural profit insurance as risk management tool in this paper. They identified the key issues and concerns that arise in the design and rating of agricultural yield insurance plans, with particular emphasis on yield risk modeling. They showed how the availability of data shapes the insurance scheme and the ratemaking procedures. Relying on Taiwan’s experience and recent developments in Statistics and Econometrics, the authors review some risk modeling concepts and provide technical guidelines in the development of agricultural insurance plans. Yield randomness varies regionally. Price randomness differs among commodities and changes over time. Yields and prices tend to move in opposite directions. Finally, they showed how these risk modeling techniques can be extended to price risk in order to develop agricultural profit insurance schemes.

Keywords

Agricultural Profit Insurance, Profit Risk, Yields Risk, Bull Call Spread.

How to Cite this Article?

Chao-Hui Yeh and Ti-Ling Wang (2014). Agricultural Insurance Pricing Model. i-manager’s Journal on Management, 9(2), 1-12. https://doi.org/10.26634/jmgt.9.2.2988

References

[1]. Chambers, R. G. (2007). “Valuing Agricultural Insurance,” American Journal of Agricultural Economics, Vol.89, pp. 596-606.
[2]. Council of Agriculture, from 1987 to 2011, Agricultural Statistics Yearbook (76 to 100 years edition).
[3]. Duncan, J. & Myers, R. J. (2000). “Agricultural Insurance Under Catastrophic Risk,” American Journal of Agricultural Economics, Vol. 82, pp. 824-855.
[4]. European Commission. (2001). “Risk Management Tools for EU Agriculture with a Special Focus on Insurance,” European Commission Working Document.
[5]. FAO. (1991). Strategies for Crop Insurance Planning, FAO Agricultural Services Bulletin.
[6]. Goodwin, B. K. and V. H. Smith. (1996). The Economics of Crop Insurance and Disaster Relief. Washington, DC: American Enterprise Institute Press.
[7]. Mahul, O., &Wright, B. D. (2003). “Designing Optimal AgriculturalProfit Insurance,” American Journal of Agricultural Economics, Vol.85, pp.580-589.
[8]. Ozaki, V. A., Goodwin, B. K. & Shirota, R. (2008). “Parametric and Nonparametric Statistical Modeling of AgriculturalYield: Implications for Pricing Agricultural Insurance Contracts,” Applied Economics, Vol. 40, pp. 1151-1164.
[9]. Sherrick, B. J., Barry, P. J., Ellinger, P. N. & Schnitkey, G. D. (2004). “Factors Influencing Farmers' Agricultural Insurance Decisions,” American Journal of Agricultural Economics, Vol. 86, pp.103-114.
[10]. Stokes, J. R., Nayda, W. I. & English, B. C. (1997). “The Pricing of Profit Assurance,” American Journal of Agricultural Economics, Vol. 79, pp. 439-451.
[11]. Turvey, C.G. (2003). “Conceptual Issues in Livestock Insurance”, Food Policy Institute Working Paper, pp.1-34.
[12]. Wang, E, Yu, Y., Little, B. & Z. Li (2010). “Agricultural Insurance Premium Design Based on Survival Analysis Mode,” Agriculture and Agricultural Science Procedia, Vol. 1, 2010, pp. 67–75.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.