Investigating the impact of gas price shock on macroeconomic variables with an emphasis on the formation of the regional gas market: dynamic general equilibrium model approach

Volume 22, Issue 2 - Serial Number 85
Vol. 22, No. 2, summer 2025
Summer 2025
Pages 215-241

Document Type : Article-Based Dissertations

Authors

1 PhD student of in international economics, Department of economics, faculty of economics and managment , Shahid Bahonar university, Kerman, Iran.

2 Full professor of economics, Department of economics, faculty of economics and managment , Shahid Bahonar university, Kerman, Iran.

3 Associate professor of economics, Department of economics, faculty of economics and managment , Shahid Bahonar university, Kerman, Iran.

Abstract
EXTENDED ABSTRACT SAMPLE FORMAT
INTRODUCTION
In recent decades, due to the importance of the environment and reducing the level of pollution caused by hydrocarbon sources, natural gas has been considered as a clean fuel, which, in case of technology development and creating grounds for its widespread use in Different economic sectors will be effective. Therefore, in this article, the determination of the regional structure of gas and its effect on macroeconomic variables for the three countries of Iran, Russia and Qatar have been investigated. In this regard, the investigated scenario, gas price increase for Iran, Qatar and Russia and its effect on economic variables for the years 2015-2030 were investigated. The results indicate that, with the formation of the regional gas market centered on the three countries of Iran, Qatar and Russia, economic growth will decrease over time, the general level of prices and also welfare will increase over time for the three countries. Therefore, according to the results, it can be said that economic growth for Iran will decrease over time and inflation will increase, which is due to the limited capacity and lack of capital and technology in this sector, and in the long term with paying attention to the removal of obstacles and restrictions will lead to an increase in well-being. Therefore, Iran's joining regional markets will be beneficial for Iran.
 
 
 
METHODOLOGY
In this research, DCGE model and GTAP database were used to estimate and forecast the years 2015-2030.
The geographical scope of the study is the countries of Iran, Qatar and Russia.
DCGE models are mathematical models that consist of systems of equations that describe the relationships between departments, factors and other relationships based on the Social Accounting Matrix (SAM). These models are organized for a country, a region, or for a number of countries that trade together, such as the Global Trade Analysis Project (GTAP) database. These models provide an image of an economy that examines the relationships between sectors and factors including households, government and economic enterprises between a country and other countries or other regions.
The specification of the research model is the explanation of the technology tree equations, here are the main equations estimated in the research:
Total production nest equations
                                                      
To check the well-being in the GTAP model, it uses the EV criterion for regional well-being, which is calculated in a simulated way:
U(r)-indicates the rate of price change, which is measured by the EV criterion by the welfare model of the entire region.
To check the economic growth for the change rate of domestic production, qgdp(r), whose equation is as follows:
qgdp(r)=vgdp(r)-pgdp(r)
 vgdp(r) shows the value of domestic production in region r and pgdp(r) shows the price index. The solution of this equation shows the displacement of the production facilities curve with a constant rate of production factors, but for simulating the growth of primary resources, the value of qgdp(r) shows the growth measurement of that area.
 
 
FINDINGS
In this research, at the beginning, the shock of gas price increase in the production function of the gas sector is obtained, which will lead to the redistribution of the production factors resulting from this change, and this effect through the chain connection mechanism of the variables will lead to the effect on the productivity coefficient. In the function of total production, welfare and change in the general level of prices.
As the results show, the effect of the gas price increase on the inflation of the three countries of Iran, Russia and Qatar has had a negative effect, and this effect will decrease in the future. Also, although the impact of gas price shock on the welfare level is different in these three countries, it can be concluded from the results of the model that all three countries will benefit from the flow of gas price changes towards improving economic welfare.
 
CONCLUSION
Also, the results of the model showed that the gas price shock had a negligible effect on the economic growth of these three countries; Apart from the fact that this issue shows the low sensitivity of the economic growth of these three countries to the price of gas, at the same time, it can be considered a sign of the resource curse in these three countries. Therefore, in general, the sensitivity that the three variables, inflation, prosperity and economic growth showed to the gas price shock in the three countries, is proof of the claim that the convergence of these three countries in line with decision-making policies in the field Gas can help the economy of these three countries as a whole, and this issue will be a support for the proposal for the formation of gas OPEC.

Keywords

Subjects
  1. Abrishmi, H., Mehrara, M., & Ghanimi Fard, H. (2007). Asymmetric effects of price on economic growth of OECD countries. Economic Research, (83), 83–96. (in Persian)

    Ahmadvand, M. R., & Dayel, F. (2007). Geopolitical developments of energy with an emphasis on the role of natural gas. Monthly Review of Economic Issues and Policies, 83–84, 5–18. (in Persian)

    Aminu, N. (2018). Evaluation of a DSGE model of energy in the United Kingdom using stationary data. Computational Economics, 51(4), 1033–1068. https://doi.org/10.1007/s10614-017-9756-1

    Amiri, A., & Karmi, A. (2014). Analysis of political relations between Iran and Russia in the field of European gas market. Central Eurasian Studies, 10(1), 17–33. (in Persian)

    1. (2010). BP statistical review of world energy. London: BP.

    Burniaux, J.-M., & Truong, T. P. (2002). GTAP-E: An energy-environmental version of the GTAP model. GTAP Technical Papers, 18.

    Chakraborty, A. (2005). Status of gas in India’s fuel basket. Economic and Political Weekly, 1424–1427.

    Chiodi, A., Gargiulo, M., Gracceva, F., De Miglio, R., Spisto, A., Costescu, A., & Giaccaria, S. (2016). Unconventional oil and gas resources in future energy markets. Publications Office of the European Union, 10, 103731.

    Diao, X., & Thurlow, J. (2012). A recursive dynamic computable general equilibrium model. In Strategies and priorities for African agriculture: Economywide perspectives from country studies (pp. 17–50).

    Dudley, B. (2018). BP statistical review of world energy 2018. Centre for Energy Economics Research and Policy, British Petroleum. Retrieved from https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy/electricity.html

    Emami Meybodi, A., Baghzian, A., & Ghasemi-Nejad, K. (2022). Investigation of the convergence of the relationship between exchange rate and oil price and gas price in regional markets. Energy Economy, (73), 55–96. (in Persian)

    Eslami, M. (2012). Energy diplomacy of Iran and Russia: Areas of convergence and divergence. Strategy, (64), 189–220. (in Persian)

    Fallahi, M. A., Mahdavi Adeli, M. H., & Dehnavi, J. (2013). Compilation of cooperative game between member countries of the Gas Exporting Countries Association in the field of LNG export. Economic Research, 48(4), 213–240. (in Persian)

    Fujimori, S., Hasegawa, T., Masui, T., & Takahashi, K. (2014). Land use representation in a global CGE model for long-term simulation: CET vs. logit functions. Food Security, 6, 685–699. https://doi.org/10.1007/s12571-014-0385-6

    Gabriel, S. A., Rosendahl, K. E., Egging, R., Avetisyan, H. G., & Siddiqui, S. (2012). Cartelization in gas markets: Studying the potential for a “Gas OPEC.” Energy Economics, 34(1), 137–152. https://doi.org/10.1016/j.eneco.2011.03.015

    Gelan, A. U. (2018). Kuwait’s energy subsidy reduction: Examining economic and CO₂ emission effects with or without compensation. Energy Economics, 71, 186–200. https://doi.org/10.1016/j.eneco.2018.02.018

    Hallouche, H. (2006). The Gas Exporting Countries Forum: Is it really a Gas OPEC in the making? Oxford Institute for Energy Studies.

    Harrison, W. J., & Pearson, K. R. (1996). Computing solutions for large general equilibrium models using GEMPACK. Computational Economics, 9, 83–127.

    He, Y., & Lin, B. (2017). The impact of natural gas price control in China: A computable general equilibrium approach. Energy Policy, 107, 524–531. https://doi.org/10.1016/j.enpol.2017.05.030

    Hertel, T. W. (1997). Global trade analysis: Modeling and applications. Cambridge University Press.

    Holz, F., Richter, P. M., & Egging, R. (2016). The role of natural gas in a low-carbon Europe: Infrastructure and supply security. The Energy Journal, 37(Sustainable Infrastructure Development and Cross-Border Coordination), 147–170.

    Hosseini Yazdi, S. S., Emadzadeh, M., & Daei-Karimzadeh, S. (2022). Globalization, human capital accumulation, and economic growth in selected developed and developing countries. Quarterly Journal of Quantitative Economics (JQE), 19(2), 111–150. https://doi.org/10.22055/jqe.2020.32690.2222 (in Persian)

    Hosseini-Nasab, S. E., & Akhdeni-Niri, H. (2013). Computable general equilibrium analysis of the effect of subsidy reform on energy carriers on inflation and gross domestic product. Economic Growth and Development Research, 125–148. (in Persian)

    Hulshof, D., Van Der Maat, J.-P., & Mulder, M. (2016). Market fundamentals, competition and natural-gas prices. Energy Policy, 94, 480–491. https://doi.org/10.1016/j.enpol.2016.04.019

    Huntington, H. G. (2009). World natural gas markets and trade: A multi-modeling perspective. The Energy Journal, 30(2), 101–134.

    Ialenti, R. (2021). Rising US LNG exports and global natural gas price convergence. Energy Economics, 96, 105141. https://doi.org/10.1016/j.eneco.2021.105141

    Lejour, A., Rojas-Romagosa, H., & Verweij, G. (2008). Opening services markets within Europe: Modelling foreign establishments in a CGE framework. Economic Modelling, 25(5), 1022–1039. https://doi.org/10.1016/j.econmod.2008.02.004

    Ministry of Energy. (2019). Energy balance sheet 2019. Retrieved from https://pep.moe.gov.ir (in Persian)

    Mohammadzadeh, P. (2000). Estimation of food demand in Iran’s urban society (Master’s thesis). Faculty of Economics, Allameh Tabatabai University. (in Persian)

    Muellbauer, J. (2022). Challenges for monetary policy in a rapidly changing world. Oxford Review of Economic Policy, 38(4), 946–972. https://doi.org/10.1093/oxrep/grac035

    Niki Eskoui, K., Behbodhi, D., & Asgharpour, H. (2017). Designing a factor-based model to determine Iran’s strategy in international gas trade. Energy Planning and Policy Research Quarterly, 4, 67–97. (in Persian)

    Sadigh Mohammadi, M. F., Sarlak, A., Najafizadeh, S. A., & Hassanzadeh, M. (2023). Impacts of Iranian oil sanctions on the welfare of households: A recursive dynamic computable general equilibrium approach. Quarterly Journal of Quantitative Economics (JQE), 20(1), 139–194. https://doi.org/10.22055/jqe.2021.38169.2397 (in Persian)

    Salimi Turkmani, H. (2013). Iran’s national conference and international legal challenges: OPEC gas and its security challenges for Iran from the perspective of international law. (in Persian)

    Samsami, H., & Esmaeili Sadrabadi, F. (2012). Study of the effect of increase in the price of energy carriers and cash distribution of subsidies on income distribution in Iran’s economy. Economic Growth and Development Research, 3, 64–87. (in Persian)

    Sharifi, A., Sadeghi Shabhani, M., & Ghasemi, A. (2015). Evaluation of the inflationary effects caused by the elimination of subsidies for energy carriers in Iran. Economic Research Journal, 119–91. (in Persian)

    Stern, J. (2006). The new security environment for European gas: Worsening geopolitics and increasing global competition for LNG. Oxford Institute for Energy Studies.

    Xiong, W., Yan, L., Wang, T., & Gao, Y. (2020). Substitution effect of natural gas and the energy consumption structure transition in China. Sustainability, 12(19), 7853. https://doi.org/10.3390/su12197853

  • Receive Date 21 August 2022
  • Revise Date 04 March 2023
  • Accept Date 05 November 2023
  • First Publish Date 05 November 2023
  • Publish Date 23 August 2025