Agric. Econ. - Czech, 2019, 65(5):223-231 | DOI: 10.17221/263/2018-AGRICECON

Does financial and agriculture sector development reduce unemployment rates? Evidence from Southern African countriesOriginal Paper

Gbolahan Olowu*,1, Godwin Olasehinde-Williams2, Murad Bein1
1 Cyprus International University Haspolat, Mersin, Turkey
2 Eastern Mediterranean University, Gazimagusa, Turkey

The paper examines empirically the impacts of agricultural sector value added and financial development on unemployment, using yearly data from 1995-2015. Eleven developing Southern African Development Community countries were selected for the study. The empirical analysis was carried out using second-generation econometric methods. The regression results revealed that both agricultural value added and financial development are important determinants of unemployment within the region. The results specifically show that agricultural value added is negatively associated with unemployment in both the short and long-run, although the long-run effect is many times bigger than the short-run impact. The results also show that in the long-run, both financial depth and financial efficiency are negatively associated with unemployment. Interactions between agricultural value added financial development and unemployment were further tested via panel bootstrap causality tests. The causality test results revealed the existence of significant one-way causality from agricultural value added to unemployment and from financial depth to unemployment for the region. It also showed that causality varies across individual countries within the region with different conditions, indicating the heterogeneous nature of the countries that make up the regional bloc.

Keywords: bootstrap causality; government expenditure; trade; value added

Published: May 31, 2019  Show citation

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Olowu G, Olasehinde-Williams G, Bein M. Does financial and agriculture sector development reduce unemployment rates? Evidence from Southern African countries. Agric. Econ. - Czech. 2019;65(5):223-231. doi: 10.17221/263/2018-AGRICECON.
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    References

    1. Agboola M., Bacilar M. (2014): Can food availability influence economic growth - the case of African countries. Agricultural Economics - Czech, 60: 232-245. Go to original source...
    2. Baah-Boateng W. (2016): The youth unemployment challenge in Africa: What are the drivers? The Economic and Labour Relations Review, 27: 413-431. Go to original source...
    3. Bayar Y. (2016): Financial development and unemployment in emerging market economies. Scientific Annals of Economics and Business, 63: 237-245. Go to original source...
    4. Bein M.A., Ciftcioglu S. (2017): The relationship between the relative GDP share of agriculture and the unemployment rate in selected Central and Eastern European countries. Agricultural Economics - Czech, 63: 308-317. Go to original source...
    5. Bravo-Ortega C., Lederman D. (2005): Agriculture and national welfare around the world: Causality and international heterogeneity since 1960. Policy Research Working Paper No. 3499. World Bank, Washington, DC. Go to original source...
    6. Breusch T.S., Pagan A.R. (1980): The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47: 239-253. Go to original source...
    7. Curtain R. (2000): Towards a Youth Employment Strategy. A Report to the United Nations on Youth Employment.
    8. Dethier J.J., Effenberger A. (2012): Agriculture and development: A brief review of the literature. Economic Systems, 36: 175-205. Go to original source...
    9. Emirmahmutoglu F., Kose N. (2011): Testing for Granger causality in heterogeneous mixed panels. Economic Modelling, 28: 870-876. Go to original source...
    10. Fadeyi O.A., Ogundeji A.A., Willemse B.J. (2014): Establishing the linkages between the South African agricultural trade balance and macroeconomic indicators. Agrekon, 53: 92-105. Go to original source...
    11. Festus L., Kasongo A., Moses M., Yu D. (2016): The South African labour market, 1995-2015. Development Southern Africa, 33: 579-599. Go to original source...
    12. Fisher R.A. (1932): Statistical Methods for Research Workers. 4th ed. Oliver and Boyd, Edinburgh.
    13. Gardner B.L. (2005): Causes of rural economic development. Agricultural Economics, 32: 21-41. Go to original source...
    14. Im K.S., Pesaran M.H., Shin Y. (2003): Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115: 53-74. Go to original source...
    15. International Monetary Fund (IMF) (2016): International Monetary Fund. Available at https://www.imf.org/external/pubs/ft/weo/2016/02/weodata/index.aspx (accessed May 8, 2018).
    16. Pagano M., Pica G. (2012): Finance and employment. Economic Policy, 27: 5-55. Go to original source...
    17. Pesaran M.H. (2004): General diagnostic tests for cross section dependence in panels.
    18. Pesaran M.H. (2007): A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22: 265-312. Go to original source...
    19. Pesaran M.H., Smith R. (1995): Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68: 79-113. Go to original source...
    20. Pesaran M.H., Ullah A., Yamagata T. (2008): A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11: 105-127. Go to original source...
    21. Pesaran M.H., Yamagata T. (2008): Testing slope homogeneity in large panels. Journal of Econometrics, 142: 50-93. Go to original source...
    22. Seyoum M., Wu R., Lin J. (2014): Foreign direct investment and trade openness in Sub-Saharan economies: A panel data granger causality analysis. South African Journal of Economics, 82: 402-421. Go to original source...
    23. 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: 260. Go to original source...
    24. Steger T.M. (2000): Economic growth with subsistence consumption. Journal of Development Economics, 62: 343-361. Go to original source...
    25. Swamy P.A. (1970): Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 38: 311-323. Go to original source...
    26. Tijani A.A., Oluwasola O., Baruwa O.I. (2015): Public sector expenditure in agriculture and economic growth in Nigeria: An empirical investigation. Agrekon, 54: 76-92. Go to original source...
    27. Westerlund J. (2008): Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23: 193-233. Go to original source...
    28. World Bank (2018a): World development indicators. Available at https://data.worldbank.org/indicator (accessed June 11, 2018).
    29. World Bank (2018b): Global Financial Development Report 2017/2018. Bankers without borders. Available at http://www.worldbank.org/en/publication/gfdr/data/globalfinancial-development-database (accessed June 10, 2018).
    30. Yu D. (2013): Revisiting unemployment levels and trends in South Africa since the transition. Development Southern Africa, 30: 701-723. Go to original source...

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