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Asymmetric effects of oil prices and oil revenues on Iran's economic growth: Vector auto-regression (VAR): A nonlinear approach | ||
International Journal of Nonlinear Analysis and Applications | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 05 دی 1403 اصل مقاله (1.04 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.28591.3948 | ||
نویسندگان | ||
Asma Gamoori1؛ Seyed Nematalleh Musavi* 2؛ Abas Aminifard3 | ||
1Department of Oil and Gas Economics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran | ||
2Department of Agricultural Economics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran | ||
3Department of Economics, Shiraz Branch, Islamic Azad University, Shiraz, Iran | ||
تاریخ دریافت: 17 مهر 1401، تاریخ بازنگری: 23 آذر 1402، تاریخ پذیرش: 23 فروردین 1403 | ||
چکیده | ||
Oil, the main source of energy and the engine of economic growth is an essential input to the production process, whose consumption has increased significantly with the modernization of the economy. This study aims to investigate the asymmetric analysis of oil prices and oil revenues in Iran. In this regard, four models were examined. In the first two models, the impact of oil prices and revenues was estimated on the economic growth, and then the impact of oil prices and revenues on economic growth without oil was estimated using the nonlinear Autoregressive Distributed Lag (NARDL) model. The results of the study for the period 2018-2000 indicate that oil prices and oil revenues have an asymmetric effect on oil economic growth, but have a symmetrical effect on oil-free economic growth. | ||
کلیدواژهها | ||
Oil Price؛ Oil Revenue؛ Economic Growth؛ Asymmetric Effects؛ Non-linear Autoregressive Distributed Lag (NARDL) | ||
مراجع | ||
[1] M.O. Akinsola and N.M. Odhiambo, Asymmetric effect of oil price on economic growth: Panel analysis of low-income oil-importing countries, Energy Rep. 6 (2020), 1057–1066. [2] F. Alvaredo, L. Assouad, and T. Piketty, Measuring inequality in the Middle East 1990–2016: The world’s most unequal region?, Rev. Income Wealth 65 (2019), no. 4, 685–711. [3] P. Azadi, Governance and Development in Iran, Stanford University-Stanford Iran, 2019. [4] M. Belloumi and A. Alshehry, The impact of international trade on sustainable development in Saudi Arabia, Sustainability 12 (2020), no. 13, p. 5421. [5] B.S. Bernanke, M. Gertler, M. Watson, C.A. Sims, and B.M. Friedman, Systematic monetary policy and the effects of oil price shocks, Brook. Papers Econ. Activ. 1997 (1997), no. 1, 91–157. [6] D.R. Bohi, On the macroeconomic effects of energy price shocks, Resources Energy 13 (1991), no. 2, 145–162. [7] R.L. Brown, J. Durbin, and J.M. Evans, Techniques for testing the constancy of regression relationships over time, J. Royal Statist. Soc. Ser. B: Statist. Method. 37 (1975), no. 2, 149–163. [8] S.P. Brown and M.K. Yucel, Energy prices and aggregate economic activity: an interpretative survey, Quart. Rev. Econ. Finance 42 (2002), no. 2, 193–208. [9] M. Bruno and J. Sachs, Input price shocks and the slowdown in economic growth: the case of UK manufacturing, Rev. Econ. Stud. 49 (1982), no. 5, 679–705. [10] M. Cantavella-Jorda, Fluctuations of oil prices and gross domestic product in Spain, Int. J. Energy Econ. Policy 10 (2020), no. 2, 57–63. [11] D.A. Dickey and W.A. Fuller, Likelihood ratio statistics for autoregressive time series with a unit root, Economet.: J. Economet. Soc. 49 (1981), no. 4, 1057–1072. [12] P.B. Eregha and E.P. Mesagan, Oil resources, deficit financing and per capita GDP growth in selected oil-rich African nations: Aa dynamic heterogeneous panel approach, Resources Policy 66 (2020), p. 101615. [13] M.R. Farzanegan, Oil revenue shocks and government spending behavior in Iran, Energy Econ. 33 (2011), no. 6, 1055–1069. [14] J.A. Frankel, The Natural Resource Curse: A Survey, Vol. 15836. Cambridge, MA: National Bureau of Economic Research, 2010. [15] J. Frederer, Oil price volatility and macroeconomy: A solution to the asymmetry puzzle, J. Macroecon. 18 (1996), no. 1, 1–26. [16] M. Garside, Daily demand for crude oil worldwide from 2006 to 2020 (in million barrels), Berlin: Statista, Rechtsanwalt Maximilian Conrad Raabestr, Available at: https://www.statista.com/statistics/271823/daily-globalcrude-oil-demand-since-2006, 2019. [17] J.D. Hamilton, Oil and the macroeconomy since World War II, J. Politic. Econ. 91 (1983), no. 2, 228–248. [18] J.D. Hamilton, A neoclassical model of unemployment and the business cycle, J. Politic. Econ. 96 (1988), no. 3, 593–617. [19] J.D. Hamilton, This is what happened to the oil price-macroeconomy relationship, J. Monetary Econ. 38 (1996), no. 2, 215–220. [20] J.D. Hamilton, What is an oil shock?, J. Economet. 113 (2003), no. 2, 363–398. [21] M.A. Hooker, What happened to the oil price-macroeconomy relationship?, J. Monetary Econ. 38 (1996), no. 2, 195–213. [22] S.I. Humbatova and N.Q.-O. Hajiyev, Oil factor in economic development, Energies 12 (2019), no. 8, 1573. [23] H.G. Huntington, Crude oil prices and US economic performance: Where does the asymmetry reside?, Energy J. 19 (1998), no. 4, 107–132. [24] F. Jawadi and Z. Ftiti, Oil price collapse and challenges to economic transformation of Saudi Arabia: A time-series analysis, Energy Econ. 80 (2019), 12–19. [25] M.K. Khan, J.-Z. Teng, and M.I. Khan, Asymmetric impact of oil prices on stock returns in Shanghai stock exchange: Evidence from asymmetric ARDL model, Plos One 14 (2019), no. 6, e0218289. [26] D. Kim and P. Perron, Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses, J. Economet. 148 (2009), no. 1, 1–13. [27] S. Lardic and V. Mignon, The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration, Energy Policy 34 (2006), no. 18, 3910–3915. [28] S. Lardic and V. Mignon, Oil prices and economic activity: An asymmetric cointegration approach, Energy Econ. 30 (2008), no. 3, 847–855. [29] K. Lee, S. Ni, and R.A. Ratti, Oil shocks and the macroeconomy: The role of price variability, Energy J. 16 (1995), no. 4, 39–56. [30] M. Mehr Ara and K. Niki Oskouee, Oil shocks and their dynamic effects on macroeconomic variables, Bus. J. 10 (2007), no. 40, 1–32 [31] R.F. Mikesell, Explaining the resource curse, with special reference to mineral-exporting countries, Resources Policy 23 (1997), no. 4, 191–199. [32] K.A. Mork, Oil and the macroeconomy when prices go up and down: an extension of Hamilton’s results, J. Political Econ. 97 (1989), no. 3, 740–744. [33] K.A. Mork, Y. Olsen, and H.T. Mysen, Macroeconomic responses to oil price increases and decreases in seven OECD countries, Energy J. 15 (1994), no. 4, 19–35. [34] J.F. Mory, Oil prices and economic activity: is the relationship symmetric?, Energy J. 15 (1993), no. 4, 151–161. [35] N.M. Noh and M. Masih, The relationship between energy consumption and economic growth: evidence from Thailand based on NARDL and causality approaches, MPRA Paper 86384, University Library of Munich, Germany, 2017. [36] P. Perron, The great crash, the oil price shock, and the unit root hypothesis, Economet.: J. Economet. Soc. 57 (1989), no. 6, 1361–1401. [37] M.H. Pesaran, Economic trends and macroeconomic policies in post-revolutionary Iran, P. Alizadeh (ed.) The economy of Iran: Dilemmas of an Islamic state, London: I.B. Tauris, 2000, pp. 63–100. [38] M.H. Pesaran, M. Hashem, and Y. Shin, An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis, Cambridge, UK: Department of Applied Economics, University of Cambridge, 1995. [39] M.H. Pesaran and B. Pesaran, Working with Microfit 4.0: Interactive Econometric Analysis, Oxford University Press, 1997. [40] M.H. Pesaran, Y. Shin, and R.J. Smith, Bounds testing approaches to the analysis of level relationships, J. Appl. Econ. 16 (2001), no. 3, 289–326. [41] R.H. Rasche and J.A. Tatom, Energy price shocks, aggregate supply and monetary policy: The theory and the international evidence, Carnegie-Rochester Conference Series on Public Policy, North-Holland, 1981, pp. 9–93. [42] M. Sayadi and M. Khoshkalam, Assessing the dynamics between oil revenue and non-oil GDP with an emphasis on the concept of investment inefficiency; application of BVAR model, Econ. Growth Dev. Res. 10 (2020), no. 38, 119–140. [43] N. Seifollahi, Investigating the asymmetric effect of oil price uncertainty on economic growth using GMM, Quart. J. Quant. Econ. 15 (2018), no. 3, 1–20. [44] Y. Shin, B. Yu, and M. Greenwood-Nimmo, Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework, R. Sickles and W. Horrace, (eds) Festschrift in Honor of Peter Schmidt, Springer, New York, 2014, pp. 281–314. [45] A. Tak Rousta, P. Mohajeri, T. Mohammadi, and A. Shakeri, The impact of oil price shocks on economic growth and inflation of selected countries with emphasis on shocks due to OPEC political risk, Energy Econ. 8 (2019), no. 30, 23–60. [46] A. Terada-Hagiwara, M.L. Villaruel, and C. Edmonds, Absorptive capacity and the impact of commodity terms of trade shocks in resource export-dependent economies, Asian Dev. Bank Econ. Working Paper Ser. 487 (2016). [47] H. Wachtmeister, P. Henke and M. Hook, Oil projections in retrospect: Revisions, accuracy and current uncertainty, Appl. Energy 220 (2018), 138–153. [48] H. Yasmeen, Y. Wang, H. Zameer, and Y.A. Solangi, Does oil price volatility influence real sector growth? Empirical evidence from Pakistan, Energy Rep. 5 (2019), 688–703. | ||
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