IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2017-05-48.html
   My bibliography  Save this article

South Africa's Financial Spillover Effects on Growth and Financial Development in the Southern African Development Community

Author

Listed:
  • Alex Bara

    (Agricultural Bank of Zimbabwe, Harare, Zimbabwe)

  • Pierre Le Roux

    (Nelson Mandela University, Port Elizabeth, South Africa)

Abstract

The study assesses the spillover effects of shocks to South Africa's financial sector on economic growth and financial development of other SADC countries. The study uses Generalised Impulse Response and Vector Decomposition of Bayesian VAR estimations applied on a panel data framework. The results indicate presence of positive, but weak, spillover effects on economic growth of other SADC countries, with the spillovers more pronounced in the credit market. Direct spillovers from financial sector in South Africa to financial sector of other SADC countries are also positive and relatively significant in the credit market than in the money market. Implicitly, the credit market can effectively transmit financial spillovers from South Africa into the region. Underdeveloped financial systems of other SADC countries, trade imbalances, strong real sector spillovers, and financial spillbacks', however, combine to constrain financial spillovers from South Africa.

Suggested Citation

  • Alex Bara & Pierre Le Roux, 2017. "South Africa's Financial Spillover Effects on Growth and Financial Development in the Southern African Development Community," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 400-412.
    • Handle: RePEc:eco:journ1:2017-05-48
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/5263/pdf
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijefi/article/view/5263/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kimberly Beaton & Brigitte Desroches, 2011. "Financial Spillovers Across Countries: The Case of Canada and the United States," Discussion Papers 11-1, Bank of Canada.
    2. Gary M. Koop, 2013. "Forecasting with Medium and Large Bayesian VARS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 177-203, March.
    3. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    4. Salvatore Dell’Erba & Emanuele Baldacci & Tigran Poghosyan, 2013. "Spatial spillovers in emerging market spreads," Empirical Economics, Springer, vol. 45(2), pages 735-756, October.
    5. Robert G. King & Ross Levine, 1993. "Finance and Growth: Schumpeter Might Be Right," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 717-737.
    6. Benedicte Vibe Christensen, 2014. "Financial integration in Africa: implications for monetary policy and financial stability," BIS Papers chapters, in: Bank for International Settlements (ed.), The role of central banks in macroeconomic and financial stability, volume 76, pages 11-28, Bank for International Settlements.
    7. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    8. Teame Ghirmay, 2004. "Financial Development and Economic Growth in Sub‐Saharan African Countries: Evidence from Time Series Analysis," African Development Review, African Development Bank, vol. 16(3), pages 415-432.
    9. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    10. Fiona Tregenna & Kabeya C. Mulamba, 2019. "Spatial dependence of per capita property tax income in South Africa," Working Papers 202, Economic Research Southern Africa.
    11. Yoko Shinagawa, 2014. "Determinants of Financial Market Spillovers: The Role of Portfolio Diversification, Trade, Home Bias, and Concentration," IMF Working Papers 2014/187, International Monetary Fund.
    12. Jordan Shan & Jianhong Qi, 2006. "Does Financial Development 'Lead' Economic Growth? The Case of China," Annals of Economics and Finance, Society for AEF, vol. 7(1), pages 197-216, May.
    13. Hassan, M. Kabir & Sanchez, Benito & Yu, Jung-Suk, 2011. "Financial development and economic growth: New evidence from panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(1), pages 88-104, February.
    14. Kabundi, Alain & Loots, Elsabe, 2007. "Co-movement between South Africa and the Southern African Development Community: An empirical analysis," Economic Modelling, Elsevier, vol. 24(5), pages 737-748, September.
    15. Beck, Thorsten & Levine, Ross & Loayza, Norman, 2000. "Finance and the sources of growth," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 261-300.
    16. Olivier Basdevant & Andrew Jonelis & Borislava Mircheva & Slavi Slavov, 2015. "The Mystery of Missing Real Spillovers in Southern Africa: Some Facts and Possible Explanations," South African Journal of Economics, Economic Society of South Africa, vol. 83(3), pages 371-389, September.
    17. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    18. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    19. Mr. Peter J Montiel & Mr. Antonio Spilimbergo & Ms. Prachi Mishra, 2010. "Monetary Transmission in Low Income Countries," IMF Working Papers 2010/223, International Monetary Fund.
    20. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    21. F Ruch, 2013. "The Impact of International Spillovers on the South African Economy," Working Papers 5705, South African Reserve Bank.
    22. Vivek Arora & Athanasios Vamvakidis, 2005. "The Implications Of South African Economic Growth For The Rest Of Africa," South African Journal of Economics, Economic Society of South Africa, vol. 73(2), pages 229-242, June.
    23. Mr. Vivek B. Arora & Mr. Athanasios Vamvakidis, 2005. "The Implications of South African Economic Growth for the Rest of Africa," IMF Working Papers 2005/058, International Monetary Fund.
    24. Hakeem Mobolaji, 2010. "Spatial Externaltiy, Openness and Financial Development in Sub-Saharan Africa (SSA) Countries," The African Finance Journal, Africagrowth Institute, vol. 12(1), pages 53-71.
    25. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    26. Konstantinos Drakos & Panagiotis Th. Konstantinou, 2011. "Terrorism Shocks and Public Spending: Panel VAR Evidence from Europe," Economics of Security Working Paper Series 48, DIW Berlin, German Institute for Economic Research.
    27. Gebka, Bartosz & Serwa, Dobromil, 2006. "Are financial spillovers stable across regimes?: Evidence from the 1997 Asian crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 301-317, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chan, Joshua C.C., 2021. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
    2. Joshua C. C. Chan, 2022. "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, vol. 13(3), pages 1145-1169, July.
    3. Kaabia, Olfa & Abid, Ilyes & Guesmi, Khaled, 2013. "Does Bayesian shrinkage help to better reflect what happened during the subprime crisis?," Economic Modelling, Elsevier, vol. 31(C), pages 423-432.
    4. Lomivorotov, Rodion, 2015. "Bayesian estimation of monetary policy in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 41-63.
    5. Korobilis, Dimitris, 2016. "Prior selection for panel vector autoregressions," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 110-120.
    6. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    7. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    8. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    9. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Bayesian VARs: Specification Choices and Forecast Accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 46-73, January.
    10. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    11. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    12. Carriero, Andrea & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2015. "Macroeconomic information, structural change, and the prediction of fiscal aggregates," International Journal of Forecasting, Elsevier, vol. 31(2), pages 325-348.
    13. Florian Huber & Gary Koop, 2023. "Subspace shrinkage in conjugate Bayesian vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 556-576, June.
    14. Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2017. "Have Standard VARS Remained Stable Since the Crisis?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 931-951, August.
    15. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
    16. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    17. Todd E. Clark & Michael W. McCracken, 2014. "Evaluating Conditional Forecasts from Vector Autoregressions," Working Papers (Old Series) 1413, Federal Reserve Bank of Cleveland.
    18. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Large Vector Autoregressions with Asymmetric Priors," Working Papers 759, Queen Mary University of London, School of Economics and Finance.
    19. Gregor Kastner & Florian Huber, 2020. "Sparse Bayesian vector autoregressions in huge dimensions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1142-1165, November.
    20. Korobilis, Dimitris, 2015. "Prior selection for panel vector autoregressions," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-73, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    Economic Growth; Financial Development; Financial Spillovers; SADC; South Africa;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • H13 - Public Economics - - Structure and Scope of Government - - - Economics of Eminent Domain; Expropriation; Nationalization
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2017-05-48. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.