Agiropoulos, Charalampos and Karkalakos, Sotiris and Polemis, Michael (2019): Revisiting the finance-growth nexus: A socioeconomic approach.
PDF
MPRA_paper_95209.pdf Download (470kB) |
Abstract
Despite the fact that financial development is recognised as a vital determinant of countries’ economic growth path, many empirical studies fail to further isolate the role of socioeconomic indicators on accelerating growth. This study attempts to fill this gap by examining the statistical significance and the behavior of several socioeconomic indicators on economic growth. We apply parametric (System GMM estimators) and semi-parametric techniques along the lines of Baltagi and Li (2002) on a panel data set of 19 EU countries over the period 1995-2017. We test for nonlinear effects on economic growth for three banking indicators (domestic credit, non-performing loans and banking capitalization). In contrast to the related literature, our findings provide sufficient evidence of nonlinear relationships between several aspects of financial development and economic growth. Our results imply significant policy implications for policy makers and regulators in their effort of balancing banking development with a resurgence in economic growth within the EU periphery.
Item Type: | MPRA Paper |
---|---|
Original Title: | Revisiting the finance-growth nexus: A socioeconomic approach |
Language: | English |
Keywords: | Socioeconomic aspects; Growth; Banking development; Semi-parametric analysis; Non-linear effects. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General G - Financial Economics > G2 - Financial Institutions and Services > G20 - General O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development |
Item ID: | 95209 |
Depositing User: | Dr Michael Polemis |
Date Deposited: | 23 Jul 2019 19:46 |
Last Modified: | 26 Sep 2019 23:50 |
References: | Addis, R., McLeod, J., and Raine, A. (2013). IMPACT-Australia: Investment for Social and Economic Benefit. Canberra, Australia: Department of Education, Employment and Workplace Relations/JBWere. Adusei, M. (2019). The finance–growth nexus: Does risk premium matter? International Journal of Finance and Economics. 24: 588– 603. Aghion, P., Howitt, P., and Mayer‐Foulkes, D. (2005). The effect of financial development on convergence: Theory and evidence. Quarterly Journal of Economics, 120: 173–222. Ahsan, H., and Haque, M.E. (2017). Threshold effects of human capital: Schooling and economic growth. Economics Letters 156: 48-52. Andersen, T.B. and Tarp, F., 2003. Financial liberalization, financial development and economic growth in LDCs. Journal of International Development: The Journal of the Development Studies Association, 15(2), pp.189-209. Ang, J.B. and McKibbin, W.J., 2007. Financial liberalization, financial sector development and growth: evidence from Malaysia. Journal of development economics, 84(1), pp.215-233. Ang, J.B., 2008. A survey of recent developments in the literature of finance and growth. Journal of economic Surveys, 22(3), pp.536-576. Arellano, M. and S. Bond. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economics and Statistics, 58, 277-297. Asteriou, D. and Spanos, K., 2019. The relationship between financial development and economic growth during the recent crisis: Evidence from the EU. Finance Research Letters, 28, pp.238-245. Azariadis C, and Drazen A (1990) Threshold externalities in economic development. Quarterly Journal of Economics 105: 501-526. Baltagi, B.H., and Li, D. (2002). Series estimation of partially linear panel data models with fixed effects. Annals of Economics and Finance 3(1): 103–116. Bassanini, A., Scarpetta, S. and Hemmings, P. (2001). Economic Growth: The Role of Policies and Institutions. Panel Data Evidence from OECD Countries, OECD Working Paper 283, 1-68. Barro, R.J., (1990). Government Spending in a Simple Model of Endogenous Growth. Journal of Political Economy 98(5), 103-125. Barro, R.J. (1991). Economic growth in a cross‐section of countries. Quarterly Journal of Economics, 106, 407–443. Barro, R.J. and Xavier Sala-i-Martin (2004). Economic Growth. MIT Press. Beck, T., Buyukkaraback, B., Rioja, F. K., and Valev, N.T. (2012). Who gets the credit? And does it matter? Household vs. firm lending across countries. BE Journal of Macroeconomics, 12(1), 1–44. Bishop, M. and Green, M. (2008). Philanthrocapitalism: How the Rich Can Save the World and Why We Should Let Them. London: A. & C. Black. Blundell, R., and Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models, Journal of Econometrics, 87(1): 115-143. Breusch, T., and Pagan, A. (1980). The Lagrange multiplier test and its application to model specifications in econometrics. The Review of Economic Studies, 47, 239–253. Brown, A., and Norman, W. (2011). ‘Lighting the Touchpaper: Growing the Market for Social Investment in England’. Boston Consulting Group/Young Foundation, London. Brown, A., and Swersky, A. (2012). The First Billion: A Forecast of Social Investment Demand. London: Boston Consulting Group/Big Society Capital. Cabinet Office (2011). Growing the Social Investment Market: A Vision and Strategy. London: HM Government, Cabinet Office. Cabinet Office (2012). Growing the Social Investment Market: Progress Update. London: HM Government, Cabinet Office. Caporale, G. M., Rault, C., Sova, A. D. and Sova, R. (2015). Financial Development and Economic Growth: Evidence from 10 New European Union Members, International Journal of Finance and Economics, 20: 48– 60 Cecchetti, G., and Kharroubi, E. (2012). Reassessing the impact of finance on growth. BIS Working Papers No. 381, Bank for International Settlements. Christopoulos, D.K., and Tsionas, E.G. (2004). Financial development and economic growth: Evidence from panel unit root and cointegration tests. Journal of Development Economics, 73(1), 55–74. Cubbin J., Stern J. (2006). The impact of regulatory governance and privatization on electricity industry generation capacity in developing economies, World Bank Economic Review, 20 1: 115-141. Delgado, M.S., Henderson, D.J., and Parmeter, C.F. (2014). Does education matter for economic growth? Oxford Bulletin of Economics and Statistics 76: 334-359. Demetriades, P., and Law, S.H. (2006). Finance, institutions and economic growth. International Journal of Finance and Economics, 11(3), 245–260. Deidda, L., and Fattouh, B. (2002). Non‐linearity between finance and growth. Economics Letters, 74, 339–345. Easterly, W., Islam, R., and Stiglitz, J. (2000). Shaken and stirred, explaining growth volatility, Annual Bank Conference on Development Economics. Washington D.C: World Bank. Emerson, J., Spitzer, J. and Nicholls, A., 2007. From Fragmentation to Function: Critical Concepts and Writings on Social Capital Markets' Structure, Operation, and Innovation. Skoll Centre for Social Entrepreneurship. Fotis, P., and Polemis, M. (2018). The impact of market deregulation on milk price: A dynamic panel data approach, MPRA Paper 86542, University Library of Munich. Hardle W.E. and Mammen (1993). Comparing nonparametric versus parametric regression fits, Annals of Statistics, 21, 1926-1947. Harji, K., and Jackson, E. T. (2012). Accelerating impact: Achievements, Challenges, and What’s Next in Building the Impact Investing Industry. New York, NY: The Rockefeller Foundation. Henderson, D.J. (2010). A test for multimodality of regression derivatives with application to nonparametric growth regressions. Journal of Applied Econometrics 25: 458-480. Jones B.F. (2014). The human capital stock: a generalized approach. American Economic Review 104: 3752-3777. J.P. Morgan and the GIIN (2010). Impact Investments: An Emerging Asset Class. New York, NY. J.P. Morgan and the GIIN (2011). Insight into the Impact Investment Market. New York, NY. J.P. Morgan and the GIIN (2013). Perspectives of Progress: The Impact Investor Survey. New York, NY. Kaeufer K (2010), Banking as a Vehicle for Socio-economic Development and Change: Case Studies of Socially Responsible and Green Banks. Cambridge, MA: Presencing Institute, p. 6. Kalaitzidakis, P., T. Mamuneas, A. Savvides and T. Stengos. (2001). Measures of human capital and nonlinearities in economic growth. Journal of Economic Growth, 6: 229-254. Kao, C. and Chiang, M. H (2000). On the estimation and inference of a cointegrated regression in panel data. Advances in Econometrics 15, 179-222. Ketteni E., Mamuneas, T., Savvides, A., and Stengos, T. (2007). Is the Financial Development and Economic Growth Relationship Nonlinear? Economics Bulletin, 15(14): 1-12. King, R.G. and Levine, R., 1993. Finance, entrepreneurship and growth. Journal of Monetary economics, 32(3), pp.513-542. Kyung S.I., Pesaran, H., and Shin, Y. (2003). Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115: 53-74. Law, S.H., and Singh, N. (2014). Does too much finance harm economic growth? Journal of Banking and Finance, 41: 36–44. Levine, R., Loayza N, and Beck T (2000). Financial intermediation and growth: Causality and causes. Journal of Monetary Economics 46: 31-77 Levine, R., (2005). Finance and growth: theory and evidence. Handbook of economic growth, 1, pp.865-934. Loayza, N. and R. Ranciere. (2006). Financial development, financial fragility and growth. Journal of Money, Credit and Banking 38(4): 1051-1076. Maasoumi E, Racine J, and Stengos T. (2007) Growth and convergence: A profile of distribution dynamics and mobility. Journal of Econometrics 136: 483-508. McCaig, B., and Stengos, T. (2005). Financial intermediation and growth: Some robustness results, Economics Letters, 88(3): 306-312. Maddala, G.S. and Wu, Shaowen. (1999). A Comparative Study of Unit Root Tests With Panel Data and A New Simple Test. Oxford Bulletin of Economics and Statistics 61: 631-652. Mamuneas, T., A. Savvides, and Stengos, T. (2006). Economic development and the return to human capital: A smooth coefficient semiparametric approach. Journal of Applied Econometrics, 21, 111-132. Mankiw NG, and Romer D, Weil DN (1992) A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107:407-437. Newson, R. (2012). Sensible parameters for univariate and multivariate splines. Stata Journal 12-3: 479-504. Nicholls, A. (2010a). ‘The Institutionalization of Social Investment: The Interplay of Investment Logics and Investor Rationalities’, Journal of Social Entrepreneurship, 1(1): 70-100. Nicholls, A. (2010b). The Landscape of Social Finance in the UK. University of Birmingham: Third Sector Research Centre. Nicholls, A. (2013). ‘Filling the Capital Gap: Institutionalizing Social Finance’, in S. Denny and F. Seddon (eds), Evaluating Social Enterprise. Basingstoke: Palgrave MacMillan, pp. 161-96. Nicholls, A., Paton, R. and Emerson, J. eds., 2015. Social finance. Oxford University Press. Nicholls, A., and Pharoah, C. (2007). The Landscape of Social Finance. Oxford: Skoll Centre for Social Entrepreneurship. Nicholls, A., and Lehner, O. (2014). ‘Social Finance and Crowd-Funding for Social Enterprises: A Public–Private Case Study Providing Legitimacy and Leverage, Journal of Venture Capital, 16(4): 271–86. Nicholls, A., and Schwartz, R. (2014). ‘The Demandside of the Social Investment Marketplace’, in L. Salamon (ed.), New Frontiers of Philanthropy: A Guide to the New Tools and New Actors that Are Reshaping Global Philanthropy and Social Investing. San Francisco: Jossey-Bass, pp. 562–82. O’Donohoe, N., Leijonhufvud, C., and Saltuk, Y. (2010). Impact Investments: An Emerging Asset Class. New York: J.P. Morgan and Rockefeller Foundation. Pedroni, P. (2000). Fully Modified OLS for Heterogeneous Cointegrated Panels in Nonstationary Panels, Panel Cointegration and Dynamic Panels. Advances in Econometrics, edited by Badi H. Baltagi, T. B. Fomby, and R. C. Hill, 15: 93–130. Pedroni, P. (2001). Purchasing Power Parity Tests in Cointegrated Panels. Review of Economics and Statistics 83:727–731. Pesaran, M.H, (2015). Time Series and Panel Data Econometrics. Oxford University Press. Pesaran, M.H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels, Cambridge Working Papers in Economics 0435. Faculty of Economics (DAE), University of Cambridge. Pesaran, M.H. (2003). A Simple Panel Unit Root Test in the Presence of Cross Section Dependence, Cambridge Working Papers in Economics 0346, Faculty of Economics (DAE), University of Cambridge. Pesaran, M.H., and Smith, R.P. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1): 79-113. Phillips, P.C.B., and P. Perron. (1988). Testing for a Unit Root in aTime Series Regression. Biometrika 75:335–346. Polemis, M. (2016). New evidence on the impact of structural reforms on electricity sector performance. Energy Policy, 92(C): 420-431 Polemis, M., and Tsionas M (2019). Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis. Letters in Spatial and Resource Sciences https://doi.org/10.1007/s12076-019-00230-4 Racine JS, and Hart J, Li Q (2006) Testing the significance of categorical predictor variables in nonparametric regression models. Econometric Reviews 25: 523-544. Rayner, S. (2006). ‘Wicked Problems: Clumsy Solutions: Diagnoses and Prescriptions for Environmental Ills’, Jack Beale Memorial Lecture on Global Environment, <>, accessed 5 May 2015. Samargandi, N., Fidrmuc, J., and Ghosh, S. (2015). Is the relationship between financial development and economic growth monotonic? Evidence from a sample of middle‐income countries. World Development, 68: 66–81. Shen, C. H., and Lee, C.C. (2006). Same financial development yet different economic growth–why? Journal of Money, Credit and Banking, 38(7): 1907–1944. SIITF (Social Impact Investment Task Force) (2014). The Invisible Heart of Markets: Harnessing the Power of Entrepreneurship, Innovation and Capital for Public Good. London: SIITF. Spitzer, J., Emerson, J., and Harold, J. (2007). Blended Value Investing: Innovations in Real Estate. Oxford: Skoll Centre for Social Entrepreneurship. Swamy, V, and Dharani, M. (2018). An alternate approach in exploring the causal link between financial development and economic growth—Evidence from advanced economies. International Journal of Finance and Economics. 23: 55– 76. Temple, J.R. (2001) Generalizations that aren't? Evidence on education and growth. European Economic Review 45: 905-918. Tran K. and Tsionas, E. (2010). Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models. Econometric Reviews, 29(1): 39-61. Weber O and Remer S (2011), Social Banks and the Future of Sustainable Finance. London: Routledge, pp. 1–14. Westerlund J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics. 69:709–48. Yilmazkuday, H., 2011. Thresholds in the finance-growth nexus: A cross-country analysis. The World Bank Economic Review, 25(2), pp.278-295. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95209 |