Investigating of Date Crop Insurance Expansion Inhibitory Factors in Iran: A Case Study from the Saravan Region

Subject Areas : Farm Management

محمدرضا ساسولی ¹ , مجید کریم زاده ² , عبدالرشید جام نیا ³

1 - استادیار گروه اقتصاد کشاورزی، مجتمع آموزش عالی سراوان، ایران
2 - استادیار گروه اقتصاد، مجتمع آموزش عالی سراوان، ایران
3 - استادیار گروه اقتصاد کشاورزی، مجتمع آموزش عالی سراوان، ایران

Received: 2021-06-19 Accepted : 2021-12-21 Published : 2022-12-01

Keywords: Date crop insurance, Ordinal Logit Model, willingness Willingness to accept,

Abstract :

The viability and efficiency of crop insurance policies depend on farmers’ demand and willingness for crop insurance. The present study analyzes the insurance demand of 441 date farmers in the Saravan region. Data showed that 68.87 percent of the farmers did not agree with insurance. The results of the ordinal logit model at five different levels indicated that awareness of insurance benefits, insurance record, previous-year yield, and educational level, the standard deviation of income, orchard area, and satisfaction with insurance services were the main variables influencing the demand for insurance. The coefficient of variation of the likelihood of insurance adoption was estimated at all five levels. A 1percent increase in satisfaction with insurance services increases the likelihood of a person’s shift from the ‘strongly disagree’ category to the ‘disagree’ category by 6.3 percent. Older date farmers abstain from insurance adoption, which needs reflection given the religious view in the region on interest rates on the one hand and the resistance of older people against modern risk management methods on the other.

References:

Agresti, A . (2010). Analysis of Ordinal Categorical Data. 2nd edition. New York: Wiley.

Barnet, B,j. Skees J.R. and Hourugan, J. D. (1990). Examining participation in federal crop Insurance, Staff paper. No: 275, Department of Agricultural Economics University of Kentucky, USA.

Darijani, A and Qorbani, M. (1998). Assessment of factors Affecting on wheatt Insurance Acceptance: Case study of Mazandaran Province. 2nd Conference of Iranian Agricultural Economic. Karaj.

Ezdini Sihem. (2019). Economic and socio-cultural determinants of agricultural insurance demand across countries. Journal of the Saudi Society of Agricultural Sciences, 18, 177–187.

Falco O, Lien G, Koesling M, Valles PS and Ebbesvik M. (2005). Comparing risk perceptions and risk management in organic and conventional dairy farming: empirical results from Norway Livestock Production Science, 95, 11-25.

Greene, WH, Hensher, DA. (2010). Modeling Ordered Choices: A Primer. Cambridge UK: Cambridge University Press.

Innes R. (2003). Crop insurance in a political economy, an alternative perspective on agriculture policy. American Journal of Agriculture Economics, 85(2), 318-335.

Johnson, VE, Albert, JH.(1999). Ordinal Data Modeling, New York: Springer.

Alli, K. (2004). Analysis of the prospects and problems of agricultural insurance in a developing country: The case of Nigeria. Department of Agricultural Economics, University of Ife, Ile-Ife, Nigeria.

Karbasi,A. (2000). Assessment of Farmers Theory and Factors Affecting on Agricultural Production Insurance Acceptance. Conference of Agricultural Production Insurance,Investment Development and Security. Iran Agricultural Bank.

Tang, L. (2009). Study on agricultural insurance based on products marketing. Modern Applied Science, 3(7), 48-51.

 Mohammadi, Y,. Rafiee, H. and Iravani,H. (2008). Assessment of factors affecting insurance acceptance of chosen agricultural production in Zarrindasht County. Journal of Pajouhesh & Sazandegi, 81,120-129.

Mohammed, M.A., and Ortmann. G.F. (1987). Factors influencing adoption of livestock insurance by commercial dairy farmers in Three Zobatat of Eritrea. Agrekon, 44(2), 172-186.

Nelson, C. H., & Loehman, E. T. (1987). Further toward a theory of agricultural insurance. American Journal of Agricultural Economics, 69(3), 523-531.

O'Connell, A.A. (2006). Logistic Regression Models for Ordinal Response Variables. Sage.

Olubiyo Hill GP and JPG Webster. (2009). Econometric Analysis of the Impact of Agricultural Insurance on Farming System in the Middle Belt, Nigeria. AJFAND. Vol. 9. No. 6.

Romun ltonl and Yuanyony Long. (2008). Setting up Sustainable Agriculture Insurance: The Example of China. Swiss Reinsurance Company L.td.

Sidra, Gh, Zhang, Q. Muhammad, A, and Zeeshan.A. (2015). Farmer’s perception and awareness and factors affecting the awareness of farmers regarding crop insurance as a risk coping mechanism: evidence from Pakistan. Journal of Northeast Agricultural University, 22, 76-82.

Smith VH and Goodwin BK. (2001). Crop insurance, moral hazard, and agricultural chemical use. American Journal of Agricultural Economics, 78, 428-438.

Torkamani, G and Qorbani, M. (1999). Factors Affecting Agricultural Product Insurance Acceptance: Case Study of Sari County. Journal of Iran Agricultural Sciences, 30, 233-240.

Tsikirayi, R,. Catherine, M. Ephraim , M. and Joseph, M. (2010).Analysis of the uptake of agricultural insurance services by the agricultural sector in Zimbabwe. Journal of International Business and Cultural Studies, 36, 184-196.

Vandeveer, Monte L. A. (2001). Demand for area crop insurance among Litchi producers in Northern Vietnam. Journal of Agricultural Economics, 26, 173-184.

Williams, C.A. M.L. Smith and D.C. Young. (1998). Risk management and insurance. Eight edition.McGraw- Hill Book.