Effect of Bank Facilities on Employment: an Approach based on STR Model

الموضوعات :

Ali Sheikhi Mehrabadi ¹ (Faculty of Islamic Azad University , Arak Branch)

تاريخ الإرسال : 11 الأربعاء , جمادى الثانية, 1441 تاريخ التأكيد : 30 الإثنين , جمادى الأولى, 1443 تاريخ الإصدار : 11 الإثنين , شوال, 1444

الکلمات المفتاحية: Monetary Policy, Employment, Smooth Transfer Regression (STR), Keywords: Bank Facilities,

ملخص المقالة :

AbstractThis study aimed to evaluate the role of the banking system and, in particular, the monetary policies and provision of bank facilities, in recession and boom periods on employment in the labor market. In this research, the most important variables were employment, bank and financial development index, volume of facilities provided to the private sector, bank facilities rate, wage rate, workforce, capital stock, liquidity, degree of economic openness, inflation rate, direct foreign investment, government expenditures, and oil revenues. The research tool was the smooth transfer regression (STR) model applied to evaluate the relationship between the variables during 1989-2016. According to the results, there was a nonlinear correlation between banking variables and employment. In the section of the nonlinear model, it was observed that with a 2.87% increase in the inflation rate, the banking indexes (e.g., money market development, the volume of facilities granted, and liquidity) had a significant and different impact on employment. In this respect, it was found that the indicators of monetary policy and bank facilities had a weak effect on employment of the country, demonstrating the improper association between monetary policies and workforce supply and demand in the labor market of the country.

المصادر:

[1] Abunoori, E., Karimi Petanlar, S., Mardani, M., The Effect of Financial Policy on Macroeconomic Variables of the Iranian Economy: An approach to the Vector Auto Regression Method, Journal of Economic Research, 2008, 10(38), P.117-143. (in Persian)

 

[2] Amini Alireza, Analysis of the labor market and employment creation policies of the Iranian    economy with emphasis on the Fourth Economic, Social and Cultural Development Plan, Economic Journal, 2015, 15 (5-6): 23-40. (in Persian)     

 

[3] Abbasian-Naghneh, S., Tehrani, R., Tamimi, M. The Effect of JCPOA on the Network Behavior Analysis of Tehran Stock Exchange Indexes. Advances in Mathematical Finance and Applications, 2021, 6(3), P.465-477. Doi: 10.22034/amfa.2019.1873319.1258

[4] Bashuki, N., Evaluation of the Effect of Bank Facilities on Employment in Economic Sectors of Zanjan Province, Master's Thesis, University of Zanjan, Iran, Master's Thesis, University of Zanjan, Iran, 2016.

[5] Sepehrdoust H., Zamani, S., Impact of Credit Facilities on Employment in Industrial Cooperatives of Iran, Quarterly Journal of Economic Research (Sustainable Growth and Development), 2015, 15 (1), P.1-22

[6] Shahabadi, A., Evaluation of the Determinants of Iran's Economic Growth, Mofid Journal, 2001, 27, P. 169-199

[7] Tahmasbi, E., Javadian, M., Nikbakht, M.J., Investigation of the Role of Giving Loans to Industrial Small & Medium Sized Enterprises for Creation of Employment (Case Study: Tehran Industrial Workshops), Financial Economy, 2012, 6(21), P.33-58. (in Persian)

[8] Tayebi, S.K., Satehi, M., Samimi, P., The Effects of Bank Credits on Employment of Iran’s Economic Sectors, Journal of Monetary and Banking Research, 2000, 4, P.1-33. (in Persian)

[9] Mishkin, D., Translation: Jahankhani, A., Parsian, A., The Economics of Money, Banking, and Financial Markets, Tehran, Samt Publications, 1999.

[10] Farzinvash, A., Heydari, H., Examining Indirect Effects of Monetary Policy on Bank Lending Through the Balance-sheet Items of the Public and Private Banks in Iran, Journal of Economic Modeling Research, 2010, 1(2), P.145-171

[11] Farzinvash, A., Ehsani, M. A., Keshavarz, H., Financial Friction and Labour Market Volatility (A Case Study: Iran's Economy as a Small Open Economy), Journal of Economic Research, 2014, 50(2), P.415-447

[12] Izadikhah, M., Financial Assessment of Banks and Financial Institutes in Stock Exchange by Means of an Enhanced Two stage DEA Model, Advances in Mathematical Finance and Applications, 2021, 6(2), P.207-232. Doi: 10.22034/amfa.2020.1910507.1491

[13] Sharifi-Renani, H., Honarvar, N., Daei-Karimzadeh, S., Amrollahi Poorshirazi, F., The Effect of Monetary Policy on the GDP by the Loan Channel of Bank System in Iran, Economic Modelling Journal, 2009, 3, P.27-48. (in Persian)

[14] Nazarzadeh, K., The Impact of Bank Facilities on Employment of Major Economical Industries in Iran's Provinces, a Master’s Thesis, Razi University, 2017.

 

[15] Tavana, M., Izadikhah, M., Toloo, M., Roostaee, R., A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures, Omega, 2021, 102.

Doi: 10.1016/j.omega.2020.102355

[16] Kaoru, H., Daisuke, M., Business Cycles, Monetary Policy, and Bank Lending: Identifying the bank balance sheet channel with firm-bank match-level loan data RIETI Discussion Paper Series, 2014, 14-E-026

[17] King, R.G., R. Levine, R., Finance and Growth: Schumpeter Might Be Right, Quarterly Journal of Economics, 1993, 109, P.717-37

[18] King, R.G., Levine, R., Finance, Entrepreneurship and Growth: Theory and Experience, Journal of Monetary Economics, 1993, 32(3), P.42-513. Doi:10.1016/0304-3932(93)90028-E

[19] Levine, R., Stock Markets, Growth, and Tax Policy, The Journal of Finance, 1991, 46, P.1445-1465.

Doi: 10.2307/2328866

[20] Levine, R., Financial development and economic growth: views and agenda, Journal of Economic Literature, 1997, 35, P.688-726. Doi:10.1596/1813-9450-1678

[21] Levine, R., N. Loayza, N., Beck, T., Financial Intermediation and Growth: Causality and Causes, Journal of Monetary Economics, 2000, 46, P.31-77. Doi:10.1016/S0304-3932(00)00017-9

[22] McKinnon, R. I., Money and capital in economic development, Washington, DC:Brookings Institution, 1973.

 

[23] Tavana, M., Izadikhah, M., Farzipoor Saen, R., Zare, R., An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management. Environ Sci Pollut Res, 2021, 28, P. 664–682. Doi: 10.1007/s11356-020-10353-7

[24] Zhang, J., Wang, L., Wang, S., Financial development and economic growth: Recent evidence from China, Journal of Comparative Economics, 2012, 40, P.393–412. Doi: 10.1016/j.jce.2012.01.001

[25] Gomez-Gonzalez, J., Grosz, F., Evidence of a bank lending channel for Argentina and Colombia, Cuadernos De Economica, 2007,44, P.109-126. Doi: 10.4067/S0717-68212007000100005

[26] Kakes, A credit channel in Europe: evidence from banks’ balance sheets, Mimeo, University of California, 1998.

[27] Terasvirta, T., Modeling economic relationships with smooth transition regressions, In A. Ullah & D. E. Giles (eds.), Handbook of Applied Economic Statistics, Dekker, New York, 2014, P.507–552.

 Doi: 10.4236/oalib.1101360

 

[28] Ridhwan et al. The Impact of Monetary Policy on Economic Activity Evidence from a Meta-Analysis.Version: 21 April, 2010.

 

[29] Zare, R., Izadikhah, M., Multi-criteria decision making methods for comparing three models of aluminum ingot production through life cycle assessment, Applied Ecology and Environmental Research, 2017, 15(3), P. 1697-1715, Doi: 10.15666/aeer/1503_16971715

 

[30] Zanjirdar, M., Overview of Portfolio Optimization Models, Advances in Mathematical Finance and Applications, 2020, 5(4), P.419-435. Doi: 10.22034/amfa.2020.674941

 

[31] Zangenehmehr, P., Farajzadeh, A., On Solutions of Generalized Implicit Equilibrium Problems with Application in Game Theory, Advances in Mathematical Finance and Applications, 2022, 7(2), P.391-404. Doi: 10.22034/amfa.2021.1935453.1617