Evaluating the Possibility of Utilizing Whole-Farm Revenue Insurance in Zanjan City

Document Type : Research Paper

Authors

1 Member of Scientific Staff,Zanjan Agricultural and Natural Resources Research and Education Center

2 Associate Professor of Agricultural Economics, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

3 Department of Agricultural Economics University of Tabriz

Abstract

Introduction
Whole Farm Insurance (WFI) is a new policy that could solve most of the problems involving the traditional insurance. This program protects farmers against loss of revenue in a single policy instead of insuring the crops separately. This paper aimed firstly to design the WFI and then calculate premium rate, sum insured and aggregate limit of indemnity in the case of single-crop and multi-crop choices for farmers in Zanjan city.
 
Materials and Methods
The purpose of this study was to introduce and design a Whole Farm Insurance for the wheat, barley and alfalfa crops in Zanjan city. Required information including times series data of yields and prices were collected for the period 1982-2014, in addition to farm-level yield data for the period 2008-2014. A two-step method was used for modeling the PDF and CDF of the crops, in order that in the first step, the data were detrended using an appropriate regression model and in the second step, detrended data were used to simulate the probability density functions. In order to model the price series, the real prices of the products were calculated using the producer price index and then detrended. Afterward, the distribution of the prices was estimated using the detrended data. Meanwhile, the DF-GLS and KPSS tests were used for examining the stationarity of the yield and price series.
Then the guaranteed incomes for the products were estimated at different coverage levels using the joint distribution of the yields and prices. In the next step, the expected indemnity, premium rate, insurer’s liability and sum insured were calculated in the single-crop, two –crop and multi-crop cases by employing the PQH simulation method, Cholesky decomposition and Simetar package.
 
Results and discussion
The primary analysis of the data indicated that the yields are trend stationary process (TSP) and the prices are difference stationary process (DSP). Furthermore, the premium rates for wheat, barley, alfalfa, wheat-barley, wheat-alfalfa, alfalfa-barley and wheat-barley-alfalfa cases were calculated 20.9, 0.5, 5, 6.7, 1.9, 1.8, and 3.7 percent at the 75 percent coverage level, respectively. The results indicated that the whole farm insurance offers lower premiums in comparison to insuring the crops separately as well as it has less administrative costs. Therefore, it could be an appropriate tool for risk management in agricultural sector.
 
Suggestions
According to the results, it is recommended to the Agricultural Insurance Fund to put the whole farm income insurance in the priority of his administration or to use it as a supplement or substitute for the existing insurance programs.
 
JEL Classification: C15, C53, C63, G22, Q18

Keywords


Abdollahi, M. and Bakhshoudeh, M. (2007) Investigating the possibility of area yield insurance for agricultural crops in Iran: A case study on Pistachio. Journal of Agricultural Science, 30 (1): 37-50. (In Farsi).
Aref Eshghi, T., Ghahremanzadeh, M., Raheli H., and Dashti Gh. (2017) Modeling yield risk using parametric and nonparametric methods: A  case  study  of  wheat  and  barley in East Azerbaijan province of Iran. Journal of Agricultural Economics and Development, 31 (1):14-26. (In Farsi).
Berg, E. (2002) Assessing the farm level impacts of yield and revenue insurance: an expected value-variance approach. Contributed Paper Submitted for The Xth Congress of the European Association of Agricultural Economists (EAAE), 28-31 August, Zaragoza, Spain.
Bielza, M., and Garrido, A. (2009) Evaluating the potential of whole-farm insurance over crop-specific insurance policies. Spanish Journal of Agricultural Research, 7 (1): 3-11.
Borzoo, F., Mehrabi Boshrabadi, H. and Kianirad, A. (2011) Designing revenue insurance pattern for maize and potato in Kerman province. Agriculture Economics and Development, 19 (75): 39-52. (In Farsi).
Box, G.E.P. and Cox, D.R. (1964) An analysis of transformations. Journal of the Royal Statistical Society, Series B, 26: 211–252.
Chalise, L., Coble, K.H., Barnett, J.B. and Miller, J.C. (2017) Developing area-triggered whole-farm revenue insurance. Journal of Agricultural and Resource Economics, 42 (1):27–44.
Coble, K.H., Chalise, L., Barnett, B.J. and Miller, J.C. (2013) Developing a feasible whole-farm insurance product. The 2nd International Agricultural Risk, Finance and Insurance Conference (IARFIC), Vancouver, British Columbia, Canada, June 16-18.
Field, J. E., Misra, S. K. and Ramirez, O. (2003) Evaluating crop and revenue insurance products as risk management tools for Texas cotton producers. Journal of Agricultural and Applied Economics, 35(1): 39-52.
Goodwin, B.K. and Ker, A.P. (1998) Nonparametric estimation of crop yield distributions: implications for rating group-risk crop insurance contracts. American Journal of Agricultural Economics, 80 (1): 139-153.
Goodwin, B.K. and Mahul, O. (2004) Risk modeling concepts relating to the design and rating of agricultural insurance contracts. World Bank Policy Research, Working Paper 3392.
Hart, C.E., Hayes, D.J. and Babcock, B.A. (2006) Insuring eggs in baskets: should the government insure individual risks? Canadian Journal of Agricultural Economics, 54 (1):121-137.
Hennessy, D.A., Babcock, B.A and Hayes, D. (1997) The Budgetary and producer welfare effects of revenue insurance. American Journal of Agricultural Economics, 79 (3): 1024-1034.
Johnson, M. and Tenenbein, A. (1981) A bivariate distribution family with specified marginals. Journal of the American Statistical Association, 76 (1):198-201.
Management and Planning Organization of Zanjan Province. (2017) Agricultural statistics yearbook of Zanjan province in year 2016. Deputy of Information and Statistics, Zanjan, Iran. (In Farsi).
Marković, T. and Kokot, Z. (2018) Whole Farm Revenue Insurance as a New Model of Risk Management in Agriculture, Ratarstvo I Povrtarstvo, 55 (1): 22-28.
Meuwissen, M. P. M., Skees, J.R., Black, J.R., Huirne, R.B.M. and Dijkhuizen, A.A. (2000) An analytical framework for discussing farm business interruption insurance for classical swine fever, selected paper, (AAEA Annual Meetings, Tampa, Fl, July 30–August 2).
Ozaki, V.A., Goodwin, B.K. and Shirota, R. (2008) Parametric and nonparametric statistical modeling of crop yield: implications for pricing crop insurance contracts. Applied Economics, 40 (9): 1151-1164.
Poudel, M.P. (2013) Area yield insurance of rice, maize, and wheat in Nepal: parametric and nonparametric approaches. PhD Dissertation, Department of Tropical Agriculture and International, Cooperation, National Pingtung University of Science and Technology, Taiwan.
Rahmati, A., Kohansal, M.R. and Ghorbani, M. (2012) Estimation of the insurance premiums and indemnity amount for two new yield and revenue insurance and comparing with the current insurance (case study of Mashhad city). Proceedings of the 8th Iranian Agricultural Economics Biennial Conference. May 10-11, Shiraz, Iran. (In Farsi).
Ramirez, O.A., McDonald, T.U. and Carpio, C.A. (2010) A flexible parametric family for the modeling and simulation of yield distributions. Journal of Agricultural and Applied Economics, 42 (2):1-17.
Richardson J.W., Klose S.L. and Gray A.W. (2000) An applied procedure for estimating and simulating multivariate empirical probability distributions in farm-level risk assessment and policy analysis. Journal of Agricultural and Applied Economics, 32 (2): 299-315.
Richardson, J.W., Schumann, K. and Feldman, P. (2008) SIMETAR: Simulation for Excel To Analyze Risk. Department of Agricultural Economics, Texas A&M University, College Station, Texas, USA.
Roshanfar, M.A. (2010) Designing a revenue insurance for crops using the multivariate simulation in Sistan district. Unpublished MSc thesis, Department of Agricultural Economics, University of Zabol, Zabol. Iran.
Salami, H., Ghahremanzadeh, M., Hosseini, S.S. and Yazdani, S. (2008) Revenue insurance; A Way to Reduce Productivity Risks and Price fluctuations in the Iranian poultry industry. Agricultural Economics, 3 (4): 1-30. (In Farsi).
Sherrick, B.J., Lanoue, C.A., Woodard, J., Schnitkey, G.D. and Paulson, N.D. (2014) Crop yield distributions: fit, efficiency, and performance. Agricultural Finance Review, 74 (3): 348- 363.
Torkamani, J. and Vazirzadeh, S. (2007) Determination of Agricultural insurance premiums: application of nonparametric method. Agricultural Economics, 1 (1): 83-100. (In Farsi).
Turvey, C.G. (2010) Whole-farm income insurance in a Canadian context. Paper Presented at the AAEA, CAES and WAEA Joint Meeting, Denver, CO, July 25–27.
Yazdani, S. and Kianirad, A. (2004) Revenue insurance; a new model in agricultural risk management. Journal of Agricultural Economics and Development, 12 (47): 47-67.
Yu, K. (2015) Principles of Mathematical Economics. Lakehead University, Thunder Bay, Ontario, Canada.
Zhu, Y., Goodwin, B.K. and Ghosh. S.K. (2011) Modeling yield risk under technological change: dynamic yield distributions and the US crop insurance program. Journal of Agricultural and Resource Economics, 36 (1):192–210.