Iranian Journal of Agricultural Economics and Development Research

Iranian Journal of Agricultural Economics and Development Research

Effect of Income Risk on Optimal Cropping Pattern (Application of Data Envelopment Analysis Model)

Document Type : Research Paper

Authors
Marzieh Aminravan 1
Mojtaba Mojaverian 2
Seyed-Ali Hosseini-Yekani 2
Ramtin Joolaie 3
Davide Viaggi 4
1 PhD Student of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
2 Associate Professor of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
3 Associate Professor of Agricultural Economics, Gorgan Agricultural Sciences and Natural Resources University, Gorgan, Iran
4 Department of Agricultural and Food Sciences, Bologna university, Italy
10.22059/ijaedr.2020.292914.668839
Abstract
Determination of the cropping pattern and optimal combination of crops by diversification of cultivation, as an approach to reduce income risk given the economic issues and resources. Income risk as combination of price and performance risks is one of the most important risks for farmers. In this study optimal cropping pattern of crops was determined to reduce income risk by applying risk and return measures in Gorgan County in 2018. For this purpose, the diversification-consistent DEA model based on directional-distance criterion was used. The results showed that 0.05 and 11 percent decreases, respectively, in the risk measures of the coefficient of variation and conditional value at risk. Also, a 24 percent increase of the expected profit measure in the optimal cropping pattern compared to the current pattern. Furthermore, the share of more profitable crops such as medium and long rice grain with high quality and rapeseed increased in the optimal cropping pattern and share of crops such as wheat and potatoes decreased. Due to the 60 percent share of medium and long rice grain with high quality in the optimal pattern, it is recommended to use tools such as income insurance and compensating for the development of rice cultivation in the region.
Keywords
Cropping pattern
Data envelopment analysis
Income risk
Gorgan County
  1. Avazyar, M.R., Ahmadpour Borazjani, M., & Ziaei, S. (2018). Determine optimal crop pattern with an emphasis on increasing the irrigation efficiency in lands of Mollasadra Dam in Fars province. Journal of Water Engineering, 11(36): 21-32. (In Farsi).
  2. Bazrafshan, M., Toulabi Nejad, M., & Sadeghi, K. (2017). Analysis of the relationship between sustainable land management and crop yield and evaluating its effects on food security of households in rural eastern Miyankooh (Poldokhtar City). Journal of Rural Research, 8(2): 346-363. (In Farsi).
  3. Bielza, M., Conte, C., Dittmann, CH., Gallego, J., & Stroblmair, J. (2008). Agricultural insurance schemes. Institute for the Protection and Security of the Citizen, Agriculture and Fisheries Unit.
  4. Branda, M. (2015). Diversification-consistent data envelopment analysis based on directional-distance measures. Omega, 52: 65-76.
  5. Dourandish, A., & Torabi, S. (2016). Effects of agricultural water supply constraints on cropping pattern in Chenaran County (Application of fuzzy multi-objective programming with nonlinear membership function). Iranian Journal of Agricultural Economics and Development Research, 47(3): 557-567. (In Farsi).
  6. Filippi, C., Mansini, R., & Stevanato, E. (2015). Mixed Integer Linear Programming models for Optimal Crop Selection. Working paper. Department of economics and Management University of Brescia Italy.
  7. Hazell, P.B.R. (1982). Application of risk preference estimation in farm household and agricultural sector models. American Journal of Agricultural Economics, 64: 384-390.
  8. Heydari Kamalabadi, R., Hosseini Yekani, A., Mojaverian, M., & Nikouei, A. (2017). Measuring the Future Risk of Crops Yield Using CVaR Method in Zayanderud Agricultural System. Journal of Economics and Agricultural development, 31(3): 252-266. (In Farsi).
  9. Joolaie, R., Mirkarimi, M., Hasanvand, M. & Shirani Bidabadi, F. (2016). Management of optimum cropping pattern of crops in Mazandaran province using goal programming. Journal of Agricultural Economics and development, 24(94): 71-94. (In Farsi).
  10. Kashiri Kolaei, F., & Hosseini Yekani, A. (2016). Determination of optimal cropping pattern in Mazandaran province in the context of conditional risk value model. 10th Biennial Conference of Iran’s Agricultural Economics, Iranian agricultural economics society, Kerman, Iran. (In Farsi).
  11. Kashiri Kolaei, F., Hosseini Yekani, A., & Karkaboodi, F. (2017). Effect of Agricultural Crop Insurance on the Optimal Cropping Pattern in Mazandaran Province (Application of Conditional Value at Risk Model). Journal of Agricultural Economics, 11(1):111-132.
  12. Kay, R.D., (2012). Farm management: Planning, control and implementation. Arsalanbod, M. Urmia: University of Urmia.
  13. Lamb, J.D., & Tee, K.H. (2012). Data envelopment analysis models of investment funds. European Journal of Operational Research, 216(3):687–696.
  14. Mahmoodi, N., & Saboohi, M. (2007). Effects of income risk on optimal cropping pattern selection (Case study of Jaban village of Damavand). 6th Biennial Conference of Agricultural Economics, Iranian agricultural economics society, Mashhad, Iran. (In Farsi).
  15. Mesfin, W. (2014). Crop mix and resource use pattern under risk: The case of smallholder farmers in eastern highlands of Ethiopia. International Journal of Agriculture and Crop Sciences, 7(5): 251-261.
  16. Ministry of Agriculture-Jahad, (2017). Statistical information, Agricultural statistics, Crops, from https://www.maj.ir
  17. Mirkarimi, SH., Joolaie, R; Eshraghi, F. & Shirani Bidabadi, F. (2015). Application of Fuzzy Goal Programming Approach in Determining Optimal Cropping Pattern to Achieve Sustainable Rural Development Goals: Subsector of Farming, Amol County of Iran. Journal of Village and Development, 18(3):109-129. (In Farsi).
  18. Osama, S., Elkholy, M., & Kansoh R.M. (2017). Optimization of the cropping pattern in Egypt. Alexandria Engineering Journal, 56: 557–566.
  19. Pishbahar, E., & Khodabakhshi, S. (2015). Effects of elimination subsidies of agricultural inputs on crop cultivation pattern in Tehran Province. Iranian Journal of Agricultural Economics and Development Research, 46(3): 551-558. (In Farsi).
  20. Silva Portela, M.C.A., Thanassoulis, E., & Simpson, G. (2004). Negative data in DEA: a directional distance approach applied to bank branches. Journal of the Operational Research Society, 55(10):1111–1121.
  21. Statistical Center of Iran, (2014). Data and statistical information, Agricultural data, from https://www.amar.org.ir
  22. Tahamipour, M., Salami, H., Yazdani, S., & Chizari A.H. (2013). Determining spatial dependency of systematic risk of dry land wheat yield in Iran: Application of spatial autoregressive models. Iranian Journal of Agricultural Economics and Development Research, 44(3): 343-356. (In Farsi).
  23. Tanaka, D.L., Krupinsky, J.M., Liebig, M.A., Merill, S.D, Ries, R.E., Hendrickson, J.R., Johnson, H.A., & Hanson, J.D. (2002). Dynamic cropping systems: An adaptable approach to crop productions in the Great Plains. Agronomy Journal, 94(5): 957-961.
  24. Yaghoobi, A., Chizari, M., Feli, S., & Pezeshkirad, Gh. (2010). Factors Affecting Risk Management among Dryland Wheat Farmers in Tafresh City. Iranian Agricultural Extension and Education Journal, 6(1): 91-101. (In Farsi).

Zhong, H., Suna, L., Fischer, G., Tiand, Zh., & Liang, Zh. (2019). Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain. Journal of Agricultural Systems, 173: 94–106

Iranian Journal of Agricultural Economics and Development Research
Volume 52, Issue 3
Summer 2021
Pages 631-641