Prediction of Production, Export and Import of Iran´s Agricultural Sector: The Combination of Econometrics and System Dynamics Methods

Document Type : Research Paper

Authors

1 Department of Agricultural Economics, Faculty of Agriculture, Tabriz University, Tabriz, Iran

2 Dep. Agricultural Economics, Uni. Tabriz

Abstract

The role of the agricultural sector in ensuring food security, Employment, self-sufficiency, non-oil exports and currency has led to the prediction of this sector to become one of the basic goals of policymakers. Nowadays, predicting future events play an important role in decision-making process and it has significant importance for planners,policymakers. If policymakers have a clear vision of the future, they certainly can make better and more accurate decisions and achieve higher profits. On the contrary, for those who do not have a clear vision of the future, their decisions will inevitably hurt them. Therefore, it is necessary to predict the country's strategic sector so that managers and planners can provide appropriate policies to achieve self-sufficiency and improve the country's trade situation. Therefore, the aim of this study is to simulate and predict the production, import, export, supply and demand of the agricultural sector over the period 2017-2054.

Keywords


Ansari, Y. and Hosseini Yekani, S.A. (2015). The effect of financial market development on agricultural growth using ARDL. Journal of Agricultural Economics and Development, 22(85): 237-254. (In Farsi)
Applanaidu, S. D., Arshad, F. M., Abdel Hameed, A. A., Hasanov, A., Idris, N., Mahir, A., and Shamsudin, M. N. (2009). Malaysian cocoa market modeling: A combination of econometric and system dynamics approach. Munich Personal RePEc Archive (MPRA), 19569: 1-13.
Atherton, J. T. (2013). A system dynamics approach to water resources and food production the Gambia. A thesis submitted in partial fulfillment of the requirements for the degree in Master of Engineering Science, The University of Western Ontario.
Azamzadeh Shoraki, M., Khalilian, S. and Mortazavi, A. (2012). Selection production function and estimate important coefficient of energy in agricultural sector. Journal of Agricultural Economics and Development, 19(76): 205-230. (In Farsi)
Barro, R. J. (1998). Notes on growth accounting. NBER Working Paper (W6654).
Braimllari (Spaho), A. and Toshkollari, O. (2016). Econometric modeling and forecasting of food exports in Albania. European Journal of Multidisciplinary Studies, 1(2), 33-41.
Central Bank of the Islamic Republic of Iran. (2019). Economic Time Series Database. Available at: https://tsd.cbi.ir.
Central Bank of the Islamic Republic of Iran. (2020). Economic Time Series Database. Available at: https://tsd.cbi.ir.
Fattahi Toghrolgerdi, Z., Nabieyan, P. and Mehrabi Boshrabadi, H. (2018). Effect of agricultural exports from credits with emphasis on sub-sectors. Journal of Agricultural Economics Research, 9(3):57-74. (In Farsi)
Forrester, J. W. (1961) Industrial dynamics. Journal of the Operational Research Society. 48: 1037-1041.
Gharib, H. (2013). Current situation of food security in Iran and future outlook. Journal of Strategy, 21(65): 345-369. (In Farsi)
Ghosh, S. (2017). Forecasting cotton exports in India using the ARIMA model. Amity Journal of Economics, 2(2): 36-52.
Hosseini, P. and Shahbazi, H. (2014) The estimation of aggregate supply and demand of agriculture from 1386-1338. Journal of Agricultural Economics and Development, 1(27):16-24. (In Farsi)
Hosseini, S. S., Pakravan, M. R. and Gilanpour, O. (2012). Forecasting of agricultural crops import in Iran: artificial neural network and econometric models application. Journal of Agricultural Economics and Development, 25(3): 365-374. (In Farsi)
Hosseini, S.S. and Homayunpour, M. (2013). Factors affecting agricultural commodities export in Iran. Journal of Agricultural Economics,6(4): 1-16. (In Farsi)
Hosseini, S.S. and Shahbazi, H. (2014) Assessment of R&D Role for Agricultural Supply and Demand Gap Adjustment. Journal of Agricultural Economics and Development, 21(84): 177-203. (In Farsi)
Jalaei, S.A., Pakravan, M. R., Gilanpour, O., Asna ashari, H. and Mehrabi Boshrabadi, H. (2011). Forecasting of Iran's agricultural products: Using regression models and artificial neural network. Journal of Agricultural Economics and Development, 18(72): 115-138. (In Farsi)
Khaledi K., Ardestani, M. and Toossi, M. (2008). Investigating the relationship between economic growth, employment and exports in Iran's agricultural sector (with emphasis on foreign exchange and trade policies). Journal of Agricultural Economics, 3(1):111-123. (In Farsi)
 Khaleghi, S., Bazzazan, F. and Madani, Sh. (2015). The effects of climate change on agricultural production and on the economy of Iran (Social Accounting Matrix Approach). Journal of Agricultural Economics Research, 1(7):113-135. (In Farsi)
Khalilian, S. and Farhadi, A. (2003). Investigating the effective factors on Iran's agricultural export sector. Journal of Agricultural Economics and Development, (39): 71-84. (In Farsi)
Khan, M. and Knight, M.D. (1988). Important compression and export performance in developing countries. The Review of Economics and Statistics,  70(2): 315-321.
Kusnadi, N. and Tinaprilla, N. (2016). Indonesia rice supply and demand dynamic model. AFBE Journal, 418-436.
Mashayekhi, A., Azar, A. and Zangooei Nezhad, A. (2013). A dynamic modelling for decreasing loss time average in insurance companies. Journal of Trade Studies. 18(71): 95-118. (In Farsi)
Mehrabi Boshrabadi, H. and Koochakzadeh, S. (2010). Modeling and forecasting of agricultural products export in Iran: application of artificial neural networks. Journal of Agricultural Economics and Development, 23(1): 49-58. (In Farsi)
Ministry of Cooperatives Labour and Social Welfare. (2020). Available at:http://www.Mcls.gov.ir
Mirzaei Daryani, Sh., Shahgholian, K., Aslizadeh, A., Soloukdar, A., and Zendeh Bafandeh,A. (2008). System dynamics: systems thinking and modeling for a complex world (fifth edition). Tehran: Termeh Publishing. (In Farsi)
Mohammadi, H. and Nagshinahfard, M. (2005). The effects of trade liberalization on supply, demand, import and export of wheat and pistachio in Iran. Journal of Agricultural Science & Research, 1(12):27-33. (In Farsi)
Mohammadi, M., Poursafar, Z. and Azadi, A. (2016). Measuring the growth of total factor productivity in the agricultural sector and assess its role on value added growth and exports of this sector by using Johansen cointegration techniques. Journal of Applied Economics, 5: 57-67. (In Farsi)
Monjezi, M., Ghobadi, S. and Afghah, S. (2011). The study of short run and long run effects of trade liberalization on Iran’s wheat import. Journal of Agricultural Economics and Development, 24(4): 526-532. (In Farsi)
Moosavi Haghighi, M. H. (2009) Combination of econometric methods and system dynamics approach to improve the Iranian agricultural policies. International Conference of the System Dynamics Society, 1-29.
Ozolins, G., Kalnins R. and Sile R. (2007). Agricultural production and income dynamics in Latvia. In Proceedings of the 25th International Conference of the System Dynamics Society, Boston, Massachusetts, USA.
Pahlavani, M., Dahmardeh, N. and Hosseini, S. M. (2007). Estimating the export and import demand functions in Iran by using autoregressive distributed lag (ARDL) cointegration approach. Journal of Quantitative Economics, 4(3): 101-120. (In Farsi)
Pakravan, M., Mehrabi Boshrabadi, H. and Gilanpour, A. (2011). Estimating supply and demand function of Iran’s agricultural products export. Journal of Agricultural Economics and Development (Food Science and Technology), 4(24):471-478. (In Farsi)
Pishbahar, E and Rahimi, J. (2017). Developing climate change and management scenarios to evaluate their effects on agricultural sector and water resources depletion in Iran: System Dynamics Approach. Journal of Agricultural Economics and Development, 31(1): 73-94. (In Farsi)
Rahimi Badr, B. (2018). Prioritizing the Production of Selected Agricultural Products with the Goal of Providing the Demand at Development Vision Horizon (2025). Journal of Agricultural Economics and Development, 25(97): 157-182. (In Farsi)
Ramezanian, M., Esmaeilipour, R. and Hadidi Masuleh, M. (2015). Provide a support model for implementing Enterprise Resource Planning (ERP) projects with a system dynamics approach. Journal of Information Technology Management. 2(7): pp.301-324. (In Farsi)
Razavi, M. and Moshrefi, R. (2003). Dynamic analysis of employment in Iranian economy (Case study of Ukan law). Journal of Economic Researches of Iran, 18(6): pp.1-37. (In Farsi)
Rostamloo, B. and Aref nia, M. (2014). The importance of agriculturevsector in economic growth and development. The 1st National Conference on Stable Agriculture and Natural Resources. (In Farsi)
Salami, H. and Mohtashami, T. (2015). The projection model of Iran’s crop production in 2025. Journal of Agricultural Economics and Development Research, 4(45):585-599. (In Farsi)
Shafei, S., Bostan, Y., Fatahiardakani, A., Jahangirpor. D. and Erfani, R. (2020). Predicting and studying the effect of uncertainty in the real exchange rate on the agricultural department imports of Iran. Journal of Agricultural Economic Research. 12(47): 125-150. (In Farsi)
Shahmoradi, M., Agahi, H., Alibeygi, A. (2019). Pathology of exports in the Iranian agricultural sector. Journal of Business Administration Researches, 11(21): 209-245. (In Farsi)
Tafti, H. F., Asadi, M. M. and Rashidi, S. (2017). Designing a date export development model with system dynamics approach. Third International Conference on Management and Economics with Resistive Economics Approach, Mashhad, Iran. (In Farsi)
Teymouri, A., Nourali, A. and Valizadeh, N. (2009) System dynamics: a practical approach for management problems. Tehran: Iran University of Science and Technology. (In Farsi)
Weber, M. (2006). Foresight and adaptive planning as complementary elements in anticipatory policymaking: A conceptual and methodological approach. Reflexive Governance for Sustainable Development, 189-221.
Whelan, J. G. (2001). Modeling exercises (section 2), Prepared for the MIT system dynamics in education project under the supervision of Prof. Jay W.Forrester. Massachusetts Institute of Technology, 4451(2):1-52.
Zamani, F. and Mehrabi Boshrabadi, H. (2015). The effect of exchange rate fluctuations on agricultural trade in Iran. Journal of Agricultural Economics Research, 2(6):13-28. (In Farsi)
Zhu, j., Wang, X., Zhang, L., Cheng, H. andYanga, Zh. (2014). System dynamics modeling of the influence of the TN/TP concentrations in socioeconomic water on NDVI in shallow lakes. Ecological Engineering, 76: 27-35.