Iranian Agricultural Economics Society (IAES)

Document Type : Research Article

Authors

1 Sistan and Baluchestan University

2 University of Sistan and Baluchestan

3 Sari University of Agricultural Science and Natural Resources, Sari

Abstract

Introduction: Climate change is one of the most important issues that affect different sectors of the economy. Climate change affects precipitation and temperature and by disrupting optimal growth conditions will reduce crop yields and thus exert influence on food security and the spread of poverty in agricultural societies as a consequence.  Production sectors, labor income and institutional income are affected by changing climate, and sectors that are more interactive with the agricultural. Specific features of the agricultural sector such as the dependence on climate variables have made this sector the focal point of climate change. Based on this, the present study examines the effect of climate change on economic growth of agriculture in Iran in the form of a dynamic computable general equilibrium model (DCGE).
Materials and Methods: In this research, DCGE has been used to investigate the effects of climate change (e.g. reduction of rainfall) on macroeconomic variables in Iran's agricultural sector. In order to implement the DCGE model, the social accounting matrix of 2011 has been used. The social accounting matrix represents the circular flow of funds between sectors, factors and institutions in a market economy. The social accounting matrix, which is a square matrix, is set up to equal the sum of rows and columns. The columns represent the receipts (revenue) and the rows represent the payments. Therefore, according to this definition, the total revenue of all accounts must be equal to the total expenditures of all accounts. In other words, the income of each economy is equal to the total cost of that economy. Since the social accounting matrix is ​​a descriptive tool for illustrating the details of the structure of a country's economy, it will also be considered as a tool for general equilibrium analysis as it provides information on the relationship between production sectors and the external world as well as the relationship between income and consumption.
 It should be noted that in the current study, the model was solved in the form of GAMS software. In order to estimate the results, it is necessary to go through two steps. At first, the model parameters are estimated to the value of the model decision variables then the solution would be equal to real values which are called calibration. Subsequently, by changing the variables related to climate change the model decision changes over the years are examined. In other words, by using the DCGE model, we studied the effects of climate change on important variables in the agricultural sector.
Results and Discussion: The results of this study about the effect of precipitation on the productivity of the agricultural sector indicate that one percent change in rainfall will reduce the productivity of agriculture by 0.79 percent. Based on the results of previous studies, by 2030 rainfall in Iran will be reduced by 9%, which means rainfall will decrease by an average of 0.3% per year. Thus, the productivity of agricultural sector will decreases by an average of 0.237% per year. Accordingly, the effect of changes in agricultural productivity (technological coefficient of Cobb-Douglas function), as a result of climate change, was measured on the macroeconomic variables of the agricultural sector including production, consumption, investment, exports and import. Results show that climate change decreases the production, consumption, investment and exports, and increases the imports by 2030.
Conclusion: The results of this study indicate that considering the amount of rainfall reduction in the 20-year horizon by 2030, the amount of production, consumption, investment and export of agricultural sector will decrease by 4.469, 5.025, 4.462 and 13.770 percent respectively, but imports in this sector will increase by 5.504 percent. Given the impacts of climate change on the macroeconomic variables in the agricultural sector, it is imperative that the government take appropriate measures to support this sector while confronting unfavorable climate. Considering role of capital in agriculture, results of this study indicate that due to the consequences of climate change in the assumed period the investment process of agricultural sector has a smaller share than other sectors. Therefore, in these circumstances, policies such as fixing the price of agricultural commodities, increasing the granting of loans by banks and other policies should be undertaken to encourage the private sector to invest in this sector.

Keywords

1- Ali-Ahmadi H. 2005. Climatic variation of drought during1998-2000 compared to the long term average of Sistan region and its effect on agricultural production. Journal of Drought and Agricultural Drought, 15: 1-6. (In Persian)
2- Ben Zaied Y. 2013. Long run versus short run analysis of climate change impacts on agriculture. Working Paper 808, December 2013.
3- Doll S. 2009. Climate change impacts in computable general equilibrium models: an Overview. HWWI Research Paper. No 1-26. Available at http://hdl.handle.net/10419/48201.
4- Eboli F., Parrado R., and Roson R. 2010. Climate change feedback on economic growth: explorations with a dynamic general equilibrium model. The Center for Research on Energy and Environmental Economics and Policy at Bocconi University. Working Paper n. 29.
5- Elshnnawy A., Robinson Sh., and Willenbockel D. 2016. Climate change and economic growth: an intertemporal general equilibrium analysis for Egypt. Economic Modelling, 52: 681-689.
6- Estern N. 2006. The Eastern review on the economics of climate change. Cambridge: Cambridge university press, p 662.
7- Kemfert C. 2009. Climate protection requirements- the economic impact of climate change. Handbook Utility Management, 725-739.
8- Khaleghi S., Bazzan F., and Madani Sh. 2015. The effects of climate change on agricultural production and on the economy of Iran (social accounting matrix approach). Agricultural Economics Research, 7(1): 113-135. (In Persian)
9- Khiz Z. 2012. Effect of drought on Iran’s economy: a generalized calculated general equilibrium. Master's thesis in Agricultural Economics. (In Persian)
10- Kumar K., Rupa Kumar R.G., Ashrit N.R., Deshpande and J.W. Hansen. 2004. Climate impacts on Indian agriculture. International Journal of Climatology, 24: 1375-1393.
11- Lhomme J.P., Mougou R., and Mansour M. 2009. Potential impact of climate change on durum wheat cropping in Tunisia. Journal Climate Change. 96(4): 549-564.
12- Lofgren H., Harris R.B., and Robinson S. 2002. A standard computable general equilibrium model in gams, international food policy, the University of Manchester.
13- Mossavi Mohseni R., and Saeedi Far M. 2006. Philips curve and effect of monetary policy on the Iranian economy, Journal of Economic Research, 72: 281-303.
14- Norouzian M., Sabouhi M., and Pahizkar A. 2013. Economic analysis of climate variability on cotton yield in selected provinces. Agricultural Meteorology, 1: 73-79. (In Persian)
15- Roson R. 2003. Modelling the economic impact of climate change. Eee working papers series - N. 9.
16- Sanghi A. 1997. The climate sensitivity of Brazilian agriculture: estimates from the Ricardian model. Paper presented at the workshop: measuring the impacts of climate change on Indian and Brazilian agriculture. World Bank, Washington.
17- Tokunaga S., Okiyama M., and Ikegawa M. 2015 Dynamic panel data analysis of the impacts of climate change on agricultural production in japan. Japan Agricultural Research Quarterly, 49(2): 149-157.
18- Tol R., Downing T., Kuik O., and Smith J. 2004. Distributional aspects of climate change impacts. Global Environmental Change (special edition on the benefits of climate policy part A): 259-272.
19- Valizadeh G. 2015. Investigating the effects of reducing of transaction cost on macroeconomic variables in agriculture sector of Iran: Application of dynamic general equilibrium model. MASTER THESIS, Sari University of Agricultural Science and Natural Resources.
20- Xiong W., Declan C., Erda L., Yinlong X., Hui J., Jinhe J., Ian H., and Yan L. 2009. Future cereal production in china: the interaction of climate change, water availability, and socio-economic scenarios. Global Environment Change, 19(1): 34–44.
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