Investigating the consequences of water reduction on the production of economic sectors in the framework of the modified model of supply-oriented social accounting matrix.

Subject Areas : Agricultural Economics Research

Abbas Parvar ¹ (Assistant Professor, Department of Agriculture Economics, Jiroft Branch, Islamic Azad University, Jiroft, Iran)
hamidreza mirzaei ² (Associate Professor, Department of Agricultural Economics, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran, respectively)

Received: 2021-12-10 Accepted : 2023-08-16 Published : 2024-01-21

Keywords: social accounting matrix, Production, Economic Sectors,

Abstract :

Water is one of the important basic resources for the development of the country and the most important factor of production in agriculture. Today, the international community is aware of the importance of water in order to have sustainable economic growth now and in the future. This study has investigated the effect of reducing water resources on production and employment of economic sectors. The results are presented in the form of absolute and relative effects. The effects and consequences of reducing 10 and 40% of water resources have led to a decrease in production of 8896617 and 35586469 million rials for various economic sectors. In terms of absolute effects, the vulnerability of urban households due to reduced water resources has been higher than rural households. In terms of relative effects, the greatest impact of income reduction is on low-income urban households. The relative reduction of water resources from the supplier perspective has a greater impact on the labor factor than the capital factor.

References:

1. Afshar M, dehshiri M. Water crisis in the Middle East. Journal of Political Strategy. 2019; 3(11): 99-117.

Banouei A A, Momeni F, Amadeh H, Zakeri Z, Karami M. Measurement of Decrease of Agricultural Output to the Total Output in the Framework of Supply-Driven SAM. The Journal of Economic Policy. 2012; 7 (4):  1-30.

2. Banouei A A. The impacts of Agricultural Sector Production Reduction on production of Other Sectors in the form of mixed pattern with an emphasis on conventional and special conditions. Agricultural Economics and Development. 2012; 20: 155-186.

Berrittella M, Hoekstra A Y, Rehdans K, Roson R, Tol R S J.   The economic impact of restricted water supply: A computable general equilibrium analysis. Water Research. 2007; 41(8), 1799-1813. [doi: 10.1016/j.watres.2007.01.010.]

Bouhia H. Water in the economy: integrating water resources into national economic planning. Harvard University Cambridge Massachusetts.1998.

Cazcarro I, Duarte Pac R, Sánchez-Chóliz J. Water Consumption Based on a Disaggregated Social Accounting Matrix of Huesca (Spain). Journal of Industrial Ecology. 2010; 14(3): 496-511. https://doi.org/10.1111/j.1530-9290.2010.00230.x

Chang, K.S. and Waters, E.C.,(2009). Measuring the Economic Linkage of Alaska FisheriA Supply – Driven Social Accounting Matrix (SDSAM) Approach, Fisheries ResearchNo. 97, 17-23.

3. Defourny J, Thorbecke E. Structural path analysis and multiplier decomposition within a social accounting matrix framework. The Economic Journal. 1984; 94(373), 111-136. https://doi.org/10.2307/2232220.

4. Doukkali M R, Caroline L. Energy cost of irrigation policy in Morocco: a social accounting matrix assessment. International Journal of Water Resources Development. 2015; 31(3):422-435. [doi:10.1080/07900627.2015.1036966.]

5. Faridzad A, Banouei A A, Momen F, Amadeh Kh. Investigating the Economic and Social Impacts of Petroleum Products Supply Constraints Using Mixed Social Accounting Matrix. Journal of Economic Modeling Research. 2013; 3(10):  99-123.

6. Faridzad A, Mohajeri P. Quantitive Analysis of Economic and Social Impacts of Industrial Sub-Sectors Supply Constraint Using Supply-Driven Social Accounting Matrix Mixed Approach. Applied Economic Studies in Iran. 2016; 5(19): 155-185.

7. Farzin M R, Abbaspour N, Ashrafi Y, Zargham H. The effects of incoming tourism development on income distribution between households and companies. Journal of Social Tourism Studies. 2020; 8 (16): 1- https://www.sid.ir/fa/journal/ViewPaper.aspx?id=534848.

8. Fernandez – Macho I, Gallastegui C, Gonzalez P. Economic Impacts of TAC Regulation: A Supply – Driven SAM Approach. Fisheries Research. 2008; (90): 225-234. [doi:10.1016/j.fishres. 2007.10.019.]

9. Gakuru WR, Mathenga N M. Poverty, growth and income distribution in Kenya: A SAM perspective,AGRODEP working paper 0001. 2012.

10. Hortono D, Resosudarmo . P. The Economy-Wide Impact of Controlling energy Consumption in Indonesia: An Analysis Using a Social Accounting Matrix Framework. Energy Policy. 2008; Vo.36, pp: 1404-1419. [doi:10.1016/j.enpol.2007.12.011.]

11. Kershner K, Hubacek K. Assessing the suitability of input- output analysis for enhancing our undeestanding of potential economic effects of peak oil. Energy. 2009; 34:284-290.

12. Khosrvi O. Investigating the economic benefits of implementing water accounting in agricultural production due to water shortages and successive droughts in Iran. Journal of Management and Accounting Studies. 2018;  3(4): 286-295.

13. Kohansal M, Permeh Z. Estimating the Effect of Reduction in Agricultural Subsidies on Production and Employment. The Economic Research (Sustainable Growth and Development). 2017; 17 (1), 23-44. http://ecor.modares.ac.ir/article-18-591-fa.html.

14. Mollaramazani M, Tabesh M. Long-term forecast of urban water consumption using Bayesian network. 8th National Congress of Civil Engineering, Babol, Noshirvani University of Technology. 2015.

15. Parvin S, Banouei A A, Ramezanzadeh velis G. The Effect of Unification of Exchange Rate on Poverty in Iran Using the Computable General Equilibrium Model (CGE). The Economic Research. 2020; 20(1): 153-183.

16. Permeh Z, Maleki B, Banouee A A, Andayesh Y, Karami M. Estimation of Energy Subsidy Targeting on Commodity Price Index. Iraniian Journal of Trade Studies. 2011; 58: 1-32.

17. Pyatt G, Round J. Accounting and Fixed Price Multiplier in a Social Accounting Matrix. The Economic Journal. 1979;  89(356), 850-873. https://doi.org/10.2307/2231503

18. Pyatt G. A SAM Approach to Modeling. Journal of Policy Modeling. 1988; 10(3): 327-352. https://doi.org/10.1016/0161-8938(88)90026-9

19. Sahabi B, Banouee A A, Ghahramani F. Measurement of the Socio-economic Impact of Drought in the Framework of Modified Supply-Side Social Accounting Matrix (SAM): Case Study of Farming Sector. Agricultural Economics and Development. 2016; 24(94):  95-121.

20. SotoodeNia S. Ahmadi Shadmehri M T, Razmi M, Bahnameh M. Studying the Effect of Green Tax on Iran’s Energy Consumption and Social Welfare Using Recursive Dynamic Computable General Equilibrium (RDCGE) Model. Quarterly Journal of Economic Growth and Development Research. 2019; 10(40): 15-34.  [doi: 10.30473/EGDR.2019.48789.5420.]

21. Zand P, Mirzaei H R, Mehrabi H, Nabieian S. Analysis of Economic and Social Impact of Investment Development Policy in Agricultural Sector. Journal of Agricultural Science and Technology. 2019b; 21(7), 1737-1751.

22. Zand P, Mirzaei H R, Mehrabi H, Nabieian S. Socio-economic of the Investment Development Polici on Agriculture Sector. Internanal Journal of Agricultural Mamagement and Development. 2019a; 9 (4), 347-362.