Investigating the Effect of Institution's Financial Development on the Economic Growth in MENA Countries Using PSVAR and Markov Switching Models
محورهای موضوعی : Financial EconometricsMarjan Habibollahi 1 , Reza Maaboudi 2 , Mohammad Khorsand 3
1 - PhD Student in Economics, Aligudarz Branch, Islamic Azad University, Aligudarz, Iran.
2 - Assistant Professor, Faculty of Humanities, Department of Economics, Grand Ayatollah Boroujerdi University.
3 - Assistant Professor, Department of Applied Mathematics, Aligudarz Branch, Islamic Azad University, Aligudarz, Iran.
کلید واژه: Vector Autoregression Approach, Markov Switching, Economic Growth, Financial Depth, Financial Institutions,
چکیده مقاله :
The financial sector plays a central role in economic development and growth, and due to playing an intermediary role in allocating resources to all sectors of the economy, by reducing financing costs and encouraging savings and their efficient use, a major contribution. In the long-term economic growth of the government in oil-exporting countries, relying on oil revenues, it is possible to enter the financial markets extensively and make various changes in it. The main goal of policymakers from such changes is to stimulate economic growth. But studies in this area show that fiscal development does not necessarily lead to economic growth. However, in recent decades, the role of financial development in economic growth has been forgotten. Therefore, this study examines the impact of the development of financial institutions on economic growth. The statistical population of the present study consists of MENA member countries in the period 1980 to 2019. In order to conduct this research, due to the nonlinear relationship between the research variables, the PSTR model and Markov switching time series pattern have been used. Financial depth, accessibility and efficiency are also variables in the development of financial institutions that have been considered in this study. The results indicate that all three components of the financial institutions development index have a significant effect on the economic growth variable.
The financial sector plays a central role in economic development and growth, and due to playing an intermediary role in allocating resources to all sectors of the economy, by reducing financing costs and encouraging savings and their efficient use, a major contribution. In the long-term economic growth of the government in oil-exporting countries, relying on oil revenues, it is possible to enter the financial markets extensively and make various changes in it. The main goal of policymakers from such changes is to stimulate economic growth. But studies in this area show that fiscal development does not necessarily lead to economic growth. However, in recent decades, the role of financial development in economic growth has been forgotten. Therefore, this study examines the impact of the development of financial institutions on economic growth. The statistical population of the present study consists of MENA member countries in the period 1980 to 2019. In order to conduct this research, due to the nonlinear relationship between the research variables, the PSTR model and Markov switching time series pattern have been used. Financial depth, accessibility and efficiency are also variables in the development of financial institutions that have been considered in this study. The results indicate that all three components of the financial institutions development index have a significant effect on the economic growth variable.
[17] Shakeri, A., Macroeconomics: Theory and Macroeconomic Policy, Rafe Publications, 2012, 1, Tehran, Iran. (in Persian).
[18] Taghavi, M., Amiri, H., Mohamadian, A., Financial Development and Economic Growth in the MENA Countries: A Dynamic Panel GMM, Financial knowledge of Security analysis (Financial Studies), 2011, 4(10), P. 63-82, (in Persian).
[19] Varherami, V., Javaherdehi, S., Dashtban Farooji, S., Survey on the Relation Between Economic Growth, Development of Banking Sector and Macroeconomic Variables with the Panel-VAR Method, Case Study D8 Countries, Journal of Quantitative Economics, 2015, 12(4), P. 39-65, Doi: 10.22055/jqe.2015.12103, (in Persian).
[20] Colletaz, G., Hurlin C., Threshold Effects of the Public Capital Productivity: An International Panel Smooth Transition Approach, Working Paper, 2006.
[21] Muhammad, N., Islam, A., R., M., Marashdeh, H., A., Financial Development and Economic Growth: An Empirical Evidence From the GCC Countries Using Static and Dynamic Panel Data, Journal of Economic Finance, 2016, 4, P. 773–791, Doi:10.1007/s12197-015-9331-9.
[22] Erdogan, A., I., Factors Affecting Collateralized Borrowing by SMEs: Evidence from Emerging Markets, Prague Economic Papers, 2020, 6, P. 729-749, Doi:10.18267/j.pep.759.
[23] Fathizadeh, H., Nonejad, M., Haghighat, A., Amini Fard, A., The Relationship Between Economic Growth, Energy Intensity and Financial Development in Sectors of Iranian Economy, economic growth and development research, 2020, 40, P. 55-76, Doi: 10.30473/egdr.2019.48371.5370, (in Persian).
[24] Izadikhah, M., Farzipoor Saen, R. Solving voting system by data envelopment analysis for assessing sustainability of suppliers. Group Decis Negot, 2019, 28, P. 641–669. Doi: 10.1007/s10726-019-09616-7
[26] Hasan, R., Barua, S., Financial Development and Economic Growth: Evidence from a Panel Study on South Asian Countries, Asian Economic and Financial Review, 2015, 5(10), P. 1159-1173.
[27] Greenwood, J., Smith, B. D., Financial Markets in Development, and the Development of Financial Markets, 1997, 21(1), P. 145-181, Doi:10.1016/0165-1889(95)00928-0.
[28] Patrick, H.T., Financial Development and Economic Growth in Underdeveloped Countries, Economic Development and Cultural Change, 1966, 14(2), P. 174-189, Doi:10.1086/450153.
[29] Blanchard, O. J., Vector Autoregression and Reality, Journal of Business and Economic Statistics, 1987, 5(4), P. 449-451, Doi:10.2307/1391994.
[30] Clarida, R., Gali, J., Sources of Real Exchange-Rate Fluctuations: How Important Are Nominal Shocks?, Carnegie-Rochester Conference Series on Public Policy, 1994, 41, P. 1-56.
[31] Jude E., Financial Development and Growth: A Panel Smooth Regression Approach, Journal of Economic Development, 2010, 35(1), P. 15-33.
[32] Bekhradi Nasab, V., Kamali, E., Ebrahimi Kahrizsangi, KH., A VAR Model for the Macroeconomic Indicators Restatements Predicting: Introduction to Macro Accounting Theory, Advances in Mathematical Finance and Applications, 2022, 7(4), P. 1099-1112, Doi:10.22034/AMFA.2021.1921151.1550.
[33] Safa, M., Panahian, H., Application of HS Metaheuristic Algorithm in Designing a Mathematical Model for Forecasting P/E in the Panel Data Approach, Advances in Mathematical Finance and Applications, 2018, 3(1), P. 17-31, Doi:10.22034/AMFA.2018.539132.
[34] Salehi, A K., Baharipour, A., Mohammadi, S., The Impact of Institutional Ownership on the Relationship between Tax and Capital Structure, Advances in Mathematical Finance and Applications, 2016, 1(2), P. 57-61, Doi:10.22034/amfa.2016.527820.