نوع مقاله : مقاله پژوهشی
1 دانشیار اقتصاد انرژی دانشگاه علامه طباطبائی
2 استاد گروه اقتصاد توسعه و برنامهریزی، دانشکده اقتصاد، دانشگاه علامه طباطبائی
3 کارشناس ارشد اقتصاد دانشگاه علامه طباطبائی
عنوان مقاله [English]
The embargo on Iran's oil exports in recent years is one of the most important problems that, with the economy under special conditions, has led to economic vulnerability and inefficiency of the economic sectors directly and indirectly. In this study, with employing a composite index based on three components according to the input-output approach, the vulnerability of Iran's economic sectors in 2011 has been measured. The first component is built based on Inoperability Input-Output model and the second one is made according to the Net Multipliers of Diatzenbacher (2005). The results show that among the 26 evaluated sections, "Coke and oil refining products", "Electricity" and "Manufacture of glass and glass products" have the lowest vulnerability and highest priority, respectively. From a 70% reduction in exports of crude oil and natural gas for investment, as well as sectors "wholesale and retail, repair of vehicles and goods", "transportation" and "extraction of crude oil and natural gas" have encountered the highest level of vulnerability and consequently the lowest priority
1- Banouei, A. A., Karami, M., Azad, S. I. & Banouei, J. (2010). Assessing the impact of potential sudden reduction of the supply of petroleum on the different sectors of the Iranian economy. 18th International Input Output Conference, Sydney, Australia (In Persian).
2- Banouei, A., Momeni, F., Amadeh, H., Zakeri, Z., & Karami, M. (2012). Measurement of decrease of agricultural output to the total output in the framework of supply-driven SAM. The Journal of Economic Policy, 4(7), 1-30 (In Persian).
3- Bazzazan, F., & Mohammadi, P. (2016). Modeling the regional economic loss of natural disasters: The case of Tehran's earthquake. Iranian Journal of Economic Research, 21(68), 99-127 (In Persian).
4- Behboudi, D., Barghi Oskoee, M., & Mohammadi Khaneghahi, R. (2019). The effects of mining sector and mining industries development on government revenue and income of households in Iran. Economic Modeling, 13(45), 115-136 (In Persian).
5- Chang, K. S., &Waters E. C. (2009). Measuring the economic linkage of Alaska fisheries a supply–driven social accounting matrix (SDSAM) approach. Fisheries Research, 97 (1-2), 17-23.
6- Chyi, H. I., & McCombs, M. (2004). Media salience and the process of framing: coverage of the columbine school shootings. Journalism & Mass Communication Quarterly, 81(1), 22-35.
7- Diatzenbacher, E. (2005). More on multipliers. Regional Science, 45 (2), 421-426.
8- Dietzenbacher, E., & Miller, R. E. (2015). Reflections on the inoperability input–output model. Economic Systems Research, 27(4), 478–486.
9- Faridzad, A., Banouei, A. A., Momeni, F., & Amadeh, H. (2013). investigating the economic and social impacts of petroleum products supply constraints using mixed social accounting matrix. Journal of Economic Modeling Research, 3(10), 99-123 (In Persian).
10- Faridzad, A., Banouei, A., Momeni, F., & Amadeh, H. (2014). A policy-oriented analysis on price pffect of limitations on petroleum products supply in light of modified supply-driven social accounting matrix. Majlis and Rahbord, 21(79), 153-184 (In Persian).
11- Faridzad, A., & Morovvat, H. (2015). Evaluation of vulnerability of Iranian economic sectors due to international sanctions: mixed Variable input-output approach. Economics Research, 15(58), 1-36 (In Persian).
12- Faturay, F., Sun, Y. Y., Dietzenbacher, E., Malik, A., Geschke, A., &
Lenzen, M. (2019). Using virtual laboratories for disaster analysis–a case study of Taiwan. Economic Systems Research, 32(1), 1-26.
13- Garza-Gil, M. D., Prada-Blanco, A., & Vázquez-Rodríguez, M. X. (2006). Estimating the short-term economic damages from the Prestige oil spill in the Galician fisheries and tourism. Ecological Economics, 58(4), 842-849.
14- Ghasemi, A., Banouei, A. A., & Roozbahani, N. (2016). Vulnerability assessment of key economic sectors in non-operational Risk Conditions Case Study: Tehran. Journal of Economic Research (Tahghighat- E- Eghtesadi), 51(3), 683-707 (In Persian).
15- Kerschner, C., & Hubacek, K. (2009). Erratum to “Assessing the suitability of input-output analysis for enhancing our understanding of potential effects of Peak-Oil” [Energy (2008) 34: 284–290]. Energy, 34(10), 1662-1668.
16- Khalid, M. A., & Ali, Y. (2019). Analysing economic impact on interdependent infrastructure after flood: Pakistan a case in point. Environmental hazards, 18(2), 111-126.
17- Lindell, M. K., & Prater, C. S. (2003). Assessing community impacts of natural disasters. Natural hazards review, 4(4), 176-185.
18- Mahdiloo, A., Aboihasani Histani, A., & Rezaei, M. (2019). Ranking of economic sanctions and estimating hazard of sanctions index using fuzzy analytical hierarchy process. Quarterly Journal of Applied Theories of Economics, 6(2), 47-72 (In Persian).
19- McFarlane, A. C., & Norris, F. H. (2006). Definitions and concepts in disaster research. Methods for disaster mental health research, 2006, 3-19.
20- Madani, S., Bazazan, F., & Khaleghi, S. (2017). Estimating economic losses caused by oil spill in 2010 in Nayband bay National Marine Park (Boushehr, Iran). Journal of Natural Environment, 70(2), 427-238 (In Persian).
21- Mohammadkhanli, S., Mohammadi, T., Faridzad, A., & Ghasemi, A. (2018). Investigating the price behavior of oil products in response to changing the price of crude oil in the framework of Iranian policy in the oil sector. Quarterly Journal of Applied Theories of Economics, 5(1), 1-24 (In Persian).
22- Nganou, J. P., Parra, J. C., & Wodon, Q. (2009). Oil price shocks, poverty and gender: A social accounting matrix analysis for Kenya. World Bank, Washington DC, 53-79.
23- Okuyama, Y., & Santos, J. R. (2014). Disaster impact and input–output analysis. Economic Systems Research, 26(1), 1-12.
24- Okuyama, Y., & Yu, K. D. (2019). Return of the inoperability. Economic Systems Research, 31(4), 467-480.
25- Oosterhaven, J. (2017). On the limited usability of the inoperability IO model. Economic Systems Research, 29(3), 452-461.
26- Rose, A., & Wei, D. (2013). Estimating the economic consequences of a port shutdown: the special role of resilience. Economic Systems Research, 25(2), 212-232.
27- Rose, A. (2004). Economic principles, issues, and research priorities in hazard loss estimation. In Modeling spatial and economic impacts of disasters (pp. 13-36). Springer, Berlin, Heidelberg.
28- Santos, J. R., & Haimes, Y. Y. (2004). Modeling the demand reduction input‐output (I‐O) inoperability due to terrorism of interconnected infrastructures. Risk Analysis: An International Journal, 24(6), 1437-1451.
29- Steinback, S. R. (2004). Using ready-made regional input-output models to estimate backward-linkage effects of exogenous output shocks. Review of Regional Studies, 34(1), 57-71.
30- Yousefi, M., & Ghelbash, M. (2013). Using input-output table to assess relative importance of economic sectors in Iran through net forward and net backward linkages approach. Iranian Journal of Economic Research, 17(53), 187-211 (In Persian).
31- Yu, K. D. S., Tan, R. R., & Santos, J. R. (2013, April). Impact estimation of flooding in Manila: An inoperability input-output approach. In 2013 IEEE Systems and Information Engineering Design Symposium (pp. 47-51). IEEE.