FINANCIAL DEVELOPMENT AND UNEMPLOYMENT IN EMERGING MARKET ECONOMIES
DOI:
https://doi.org/10.1515/saeb-2016-0119Keywords:
financial development, gross capital formation, unemployment, panel data analysisAbstract
Financial sector has experienced significant expansion together with accelerating financial globalization in recent years and had important positive and negative economic implications for all the economies. This study investigates the interaction among unemployment, financial development and domestic investment in 16 emerging market economies during 2001-2014 period using panel data analysis. We found that there was long relationship among the variables and domestic investment had negative impact on the unemployment, while financial development had no significant impact on the unemployment. Furthermore, there was unidirectional causality from development of financial sector to unemployment.
JEL Codes - C33, E24, E44References
Barro, R.J., 2001. Economic growth in East Asia before and after the financial crisis, [online] Available at:< http://www.nber.org/papers/w8330> [Accessed 23 February 2016].
Breusch, T. S., Pagan, A.R., 1980. The Lagrange multiplier testand its applications to model specification tests in econometrics. Review of Economic Studies, 47, pp.239–53.
Caporale, G.M, Rault, C., Sova, A.D., Sova, R., 2015. Financial development and economic growth: evidence from 10 new European Union members. International Journal of Finance & Economics, 20, pp.48-60.
Claessens, S., Tonga, H., Weic, S.J., 2012. From the financial crisis to the real economy: Using firm-level data to identify transmission channels. Journal of International Economics, 88(2), pp. 375–387.
Cojocaru, L., Falaris, E.M., Hoffman, S.D., Miller, J.B., 2016. Financial system development and economic growth in transition economies: New empirical evidence from the CEE and CIS countries. Emerging Markets Finance & Trade, 52, pp.223–236.
Dumitrescu, E., Hurlin, C., 2012. Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29, pp.1450–1460.
Eberhardt, M., Bond, S., 2009. Cross-section dependence in nonstationary panel models: A novel estimator, [online] Available at:< https://mpra.ub.uni-muenchen.de/17870/> [Accessed 26 February 2016].
Eberhardt, M., Teali F., 2010. Productivity analysis in global manufacturing production. University of Oxford Department of Economics Discussion Paper Series Number 515, [online] Available at:< http://www.economics.ox.ac.uk/materials/papers/4729/paper515.pdf> [Accessed 26 February 2016].
Eberhardt, M., Teali F., 2011. Econometrics for grumblrts: A new look at the literature on cross-country growth empirics. Journal of Economic Surveys, 25, pp.109-155.
Gatti, D., Vaubourg, A.G. 2009. Unemployment and finance: How do financial and labour market factors interact? IZA Discussion Paper No. 4075.
Gros, D., Alcidi, C., 2010. The impact of the financial crisis on the real economy, [online] Available at:< http://archive.intereconomics.eu/downloads/getfile.php?id=719 > [Accessed 28 February 2016].
Hassan, M.K., Sanchez, B., Yu, J.S., 2011. Financial development and economic growth: New evidence from panel data. The Quarterly Review of Economics and Finance, 51(1), pp. 88–104.
Iloi B.M., 2015. Capital market and unemployment in Nigeria. Oeconomica, 11(5), pp.129-140.
Kanberoglu, Z., 2014. Finansal sektör gelişimi ve işsizlik: Türkiye örneği. Ekonomik ve Sosyal Araştırmalar Dergisi, 10(1), pp.83-93.
MSCI, 2016. MSCI emerging markets index-emerging markets, [online] Available at:< https://www.msci.com/emerging-markets > [Accessed 26 February 2016].
Ogbeide, F.I., Kanwanye,H., Kadiri, S., 2015. The determinants of unemployment and the question of inclusive growth in Nigeria: Do resource dependence, government expenditure and financial development matter? Montenegrin Journal of Economics, 11(2), pp.49-64.
Ongo, E.N., Vukenkeng, A.W., 2014. Does gross capital formation matter for economic growth in the CEMAC sub-region? EuroEconomica, 33(2), pp.69-77.
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Papers No.1233, pp.255–260.
Pesaran, M. H., 2007. A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp.265-312
Pesaran, M. H., ve Yamagata, T., 2008. Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), pp.50–93
Pesaran, M.H., Ullah, A., Yamagata, T., 2008. A bias-adjusted LM test of error cross-section independence. Econometrics Journal, 11, pp.105–127
Shabbir, G., Anwar, S., Hussain, Z., Imran, M., 2012. Contribution of financial sector development in reducing unemployment in Pakistan. International Journal of Economics and Finance, 4(1), pp.260-268.
Uneze, E., 2013. The relation between capital formation and economic growth: evidence
from sub-Saharan African countries. Journal of Economic Policy Reform, 16(3), pp. 272–286.
Westerlund, J., 2008. Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23(2), pp.193-223.
World Bank, 2009. Impact of the financial crisis on employment, [online] Available at:< http://web.worldbank.org/WBSITE/EXTERNAL/NEWS/0,,contentMDK:21039894~menuPK:34480~pagePK:116743~piPK:36693~theSitePK:4607,00.html> [Accessed 20 February 2016].
World Bank, 2016a. Unemployment, total (% of total labor force), [online] Available at:< http://data.worldbank.org/indicator/SL.UEM.TOTL.ZS > [Accessed 26 February 2016].
World Bank, 2016b. Domestic credit to private sector (% of GDP) at:< http://data.worldbank.org/indicator/FS.AST.PRVT.GD.ZS> [Accessed 26 February 2016].
World Bank, 2016c. Gross capital formation (% of GDP) at:< http://data.worldbank.org/indicator/NE.GDI.TOTL.ZS> [Accessed 26 February 2016].
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 SCIENTIFIC ANNALS OF ECONOMICS AND BUSINESS
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All accepted papers are published on an Open Access basis.
The Open Access License is based on the Creative Commons license.
The non-commercial use of the article will be governed by the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License as currently displayed on https://creativecommons.org/licenses/by-nc-nd/4.0
Under the Creative Commons Attribution-NonCommercial-NoDerivatives license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions:
1. they must attribute the contribution in the manner specified by the author or licensor,
2. they may not use this contribution for commercial purposes,
3. they may not alter, transform, or build upon this work.