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بررسی تأثیر حکمرانی درآمدهای نفتی بر رشد اقتصادی کشورهای عضو اوپک با تأکید بر توسعه بازار سهام رویکرد مدل (PVAR GMM) | ||
| پژوهشنامه اقتصاد کلان Macroeconomics Research Letter | ||
| مقاله 4، دوره 18، شماره 39، بهمن 1402، صفحه 73-97 اصل مقاله (718.36 K) | ||
| نوع مقاله: علمی | ||
| شناسه دیجیتال (DOI): 10.22080/iejm.2024.26078.1997 | ||
| نویسندگان | ||
| محسن جعفری1؛ مرضیه اسفندیاری* 2؛ مصیب پهلوانی3 | ||
| 1دانشگاه سیستان و بلوچستانُ، زاهدان، ایران | ||
| 2گروه اقتصاد ، دانشگاه سیستان و بلوچستان، زاهدان، ایران | ||
| 3دانشگاه سیستان وبلوچستان | ||
| تاریخ دریافت: 25 مهر 1402، تاریخ بازنگری: 16 دی 1402، تاریخ پذیرش: 23 دی 1402 | ||
| چکیده | ||
| مدیریت درآمد حاصل از منابع طبیعی و نحوه تخصیص آن بین مصرف و سرمایه گذاری بر رشد اقتصادی تأثیر بسزایی دارد. نقش توسعه بازار مالی از طریق بازار سهام بر تأثیر حکمرانی درآمدهای نفتی یا تأثیر سرمایه‌گذاری درآمدهای نفتی توسط بخش دولتی و خصوصی بر رشد اقتصادی در مطالعات پیشین کمتر مورد توجه بوده است. مطالعه حاضر به بررسی تأثیر حکمرانی درآمدهای نفتی بر رشد اقتصادی کشورهای منتخب عضو اوپک پرداخته است. نتایج نشان می دهد که شاخص های حکمرانی درآمدهای نفتی یا به عبارت دیگر، سهم سرمایه‌گذاری بخش دولتی از درآمدهای نفتی و سهم سرمایه‌گذاری بخش خصوصی از درآمدهای نفتی، تأثیر مثبتی بر رشد اقتصادی در کشورهای مورد بررسی دارند. همچنین، شاخص‌های توسعه بازار سهام تأثیر مثبت و معناداری بر رشد اقتصادی دارد. اثر متقابل سهم سرمایه‌گذاری بخش دولتی و خصوصی از درآمدهای نفتی و شاخص‌های توسعه بازار سهام، باعث تقویت اثر سهم سرمایه‌گذاری بخش دولتی و خصوصی از درآمدهای نفتی بر رشد اقتصادی می‌شود. در نهایت، درآمدهای نفتی از تأثیر معنادار مثبتی بر رشد اقتصادی کشورهای مورد بررسی برخوردار می‌باشد، اما، با افزایش سرعت درآمدهای نفتی، رشد اقتصادی کشورهای مورد بررسی کاهش یافته و بیانگر وجود پدیده نفرین منابع طبیعی یا بیماری هلندی در کشورهای مورد بررسی می‌باشد. | ||
| کلیدواژه‌ها | ||
| حکمرانی درآمد نفت؛ بازار سهام؛ رشد اقتصادی؛ نفرین منابع طبیعی؛ مدل PVAR GMM | ||
| عنوان مقاله [English] | ||
| Effect of Oil Revenue Governance on Economic Growth of OPEC Member Countries with Emphasis on Stock Market Development Using PVAR GMM Approach | ||
| نویسندگان [English] | ||
| mohsen jafari1؛ Marziyeh Esfandiari2؛ Mosayeb Pahlavani3 | ||
| 1university of sistan and baluchestan | ||
| 2Department of Economics , university of Sistan and Baluchestan, Zahedan, Iran | ||
| 3Associate Professor, Economics Department, University of Sistan and Baluchestan | ||
| چکیده [English] | ||
| In this study the impact of oil revenue governance on the economic growth of selected OPEC member countries with an emphasis on the development of the stock market, using the PVAR GMM method was investigated. For this purpose, the required data related to the research variables was gathered from Global Financial Development Database (GFDD), World Development Indicators (WDI), International Monetary Fund (IMF) and the database of selected OPEC member countries (Iran, Iraq, Saudi Arabia, Kuwait, Venezuela, Nigeria, Algeria, United Arab Emirates and Libya) during 2003-2022 and STATA software was used for data analysis. The results showed that the governance indicators of oil revenues, or in other words, the share of public sector investment from oil revenues and the share of private sector investment from oil revenues, have a positive and significant effect on economic growth in the studied countries. Also, the development indicators of the stock market have positive and significant effect on the economic growth in the studied countries. In addition, the mutual effect of the share of public and private sectors investment from oil revenues and stock market development indicators strengthens the effect of the share of public and private sector investment from oil revenues on economic growth. Finally, oil revenues have a significant positive effect on the economic growth of considered countries, but with the increase in the rate of oil revenues, the economic growth of considered countries will decrease, which indicate the existence of the curse of natural resources or the Dutch disease in studied countries. | ||
| کلیدواژه‌ها [English] | ||
| Oil revenue governance, stock market, economic growth, natural resource curse, PVAR GMM model | ||
| مراجع | ||
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Abrigo, M., & Love, I. (2016). Estimation of panel vector autoregression in STATA. The Stata Journal, 16(3), 778-804. Aghaee, Majid. Rezaqolizadeh, Mahdieh. Asadullah Tabar, Fatemeh. (2018). Fluctuation of economic growth and fluctuation of oil revenues in OPEC member countries: Studying the role of financial development. Economics and Modeling, 10(1), 97-127 .(In Persian) Anderson, T. W. Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18(1), 47-82. Andrews, D. W. K., and B. Lu. (2001). Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models. Journal of Econometrics, 101: 123–164. Arellano, M., & Bond, S. (1981). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297. Badeeb, R., A., Kenneth, R., Szulczyk, H., and Hooi, L. (2021). Asymmetries in the effect of oil rent shocks on economic growth: A sectoral analysis from the perspective of the oil curse, Resources Policy, 74, 102326. Badeeb, R.A., Clark, J. & Philip, A.P. (2023). Modeling the time-varying effects of oil rent on manufacturing: implications from structural changes using Markov-switching model. Environ Sci Pollut Res, 30, 39012–39028. Baltagi, B.H. (2005). Econometric Analysis of Panel Data. 3rd Edition, John Wiley & Sons Inc., New York. Baltagi, B.H., Demetriades, P.O., Law, S.H., (2009). Financial development and openness: evidence from panel data, J. Dev. Econ. 89 (2), 285–296. Basit, A., Khan, D., Shafiq, M., Magda, R., & Oláh, J. (2022). The Asymmetric Impact of Oil Price Shocks on Sectoral Returns in Pakistan: Evidence from the Non-Linear ARDL Approach, Economies, 10, 46. Bun, M. J. G., and M. A. Carree. (2005). Bias-corrected estimation in dynamic panel data models. Journal of Business and Economic Statistics, 23, 200–210. Chaudhry, I. S., Faheem, M., Farooq, F., & Ali, S. (2021). Financial Development and Natural Resources Dynamics in Saudi Arabia: Visiting ‘Resource Curse Hypothesis’ by NARDL and Wavelet-Based Quantileon-Quantile Approach. Review of Economics and Development Studies, 7(1), 101-117. Dou S, Yue C, Xu D, Wei Y, Li H (2022) Rethinking the “resource curse”: new evidence from nighttime light data. Resources Policy, 76:102617. Elneel, F., A., and AlMulhim, A., F. (2022). The Effect of Oil Price Shocks on Saudi Arabia’s Economic Growth in the Light of Vision 2030 “A Combination of VECM and ARDL Models”. Journal of the Knowledge Economy, 13(4), 3401-3423. Everaert, G., & Pozzi. L. (2007). Bootstrap-based bias correction for dynamic panels. Journal of Economic Dynamics and Control, 31, 1160–1184. Gylfason, T. (2001). Natural resources, education, and economic development. European Economic Review, 45(4-6), 847-859. Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029–1054. Hilmawan R, Clark J (2021) Resource dependence and the causes of local economic growth: an empirical investigation. Australian Journal of Agricultural and Resource Economics, 65:596–626. Holtz-Eakin, D., Newey, W., & Rosen, H. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. Ibrahim Mohammed, J., Karimu, A., Fiador, V.O. and Aor, J.Y. (2020). Oil revenues and economic growth in oil-producing countries: The role of domestic financial markets. Resource Policy, 69, 1-15. Jalili Kamjo, Seyed Parviz. Safarian, Hamidreza. (2019). Ways of influencing oil revenues on Iran's economic growth from the point of view of the curse of natural resources. Strategic and Macro Policy Quarterly, 8, 48-72 (In Persian). Jiang, C., Zhang, Y., Kamran, H. W., & Afshan, S. (2021). Understanding the dynamics of the resource curse and financial development in China? A novel evidence based on QARDL Model. Resources Policy, 72, 102091. Khan Z, Badeeb RA, Nawaz K (2022) Natural resources and economic performance: evaluating the role of political risk and renewable energy consumption. Resources Policy, 78:102890. Moulai, Seyyed Jafar. Mousavi, Seyyed Nemat A. Amini Fard, Abbas. (2023). Oil revenues and economic growth with an emphasis on domestic markets. Energy Economics Studies, 19(77), 132-97 (In Persian). Nikpey Pesian, Vahid. Hekmati Farid, Samad. Ansari Ardali, Reza. Ghasemlou, Mina. (2022). Analysis of the spatial effect of oil revenues on the economic growth of selected oil exporting countries. Scientific Quarterly of Economic Policies and Research, 1(1), 150-199 (In Persian). Olayungbo, D.O., & Olayemi, O. F. (2018). Dynamic relationships among non-oil revenue, government spending and economic growth in an oil producing country: Evidence from Nigeria, Future Business Journal, 4(2), 246-260. Rashidi, Ahmed. Mousavi, Seyed Saleh. (2018). Oil revenues and its conflicting effects on economic growth and development in Iran and Norway. International Political Economy Studies, 2(1), 153-18 (In Persian). Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9, 86–136. Rudari, Sohail. Tehranchiian, Amir Mansour. Zarei, Pegah. Kakai, Hamid. (2021). Evaluating the impact of oil income impulse on stock index in Iran: application of vector autoregressive switching Markov model. Quarterly Journal of Energy Economics Studies, 17(69), 23-55 (In Persian). Sharma C, Mishra RK (2022) On the good and bad of natural resource, corruption, and economic growth nexus. Environmental and Resource Economics, 82(4):889–922. Stevens, P. J. (2005). Resource curse and how to do avoid it? The Journal of Energy and Development, 31(1), 1-20. Valihi, Azadeh. Mousavi, Seyyed Nematullah. Amini Fard, Abbas. (2022). Dependence on oil, institutional quality and economic growth: a panel vector autoregression approach. Quarterly Journal of Energy Economics Studies, 18(72), 59-87 (In Persian). Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126, 25–51. Yang, J., Rizvi, S.K.A., Tan, Z., Umar, M., & Koondhar, M. A. (2021). The competing role of natural gas and oil as fossil fuel and the non-linear dynamics of resource curse in Russia. Resources Policy, 72:102100.
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