Relationship between corruption and capital flight in Kenya: 1998-2018
Mercy Mwangi · Amos Njuguna · George Achoki
International Journal of Research in Business and Social Science · 2019 · Vol. 8 / Issue 5 · 237-250
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 22 Oct 2026 01:23 UTC
Observed 21 Oct 2026 22:04 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
The study established the relationship between corruption and capital flight in Kenya over the period 1998 to 2018. Quarterly time series data for calculation of capital flight and for GDP growth rate and exchange rates were collected from the Central Bank of Kenya and Kenya National Bureau of Statistics. Corruption perception index data was collected from the Transparency International website. Two Autoregressive Distributed-lagged models were fitted. Regression coefficients for corruption were -0.114 and 0.066 in the short run and -0.501 in the long run and the p values were 0.523 and 0.691 and 0.558 respectively, indicating no significant relationship. Regression results showed a coefficient of 0.01 and 0.003 for the Gross Domestic Product growth rate in the short run, and 0.049 in the long run. The p values were 0.670, 0.855 and 0.578 respectively denoting no significant relationship. Regression results showed a coefficient of 0.002 and 0.003 for the exchange rate in the short run, 0.43 for the exchange rate in the long run. The p values were 0.891 and 0.584 and 0.095 respectively indicating that a one % increase in the exchange rate would lead to a 0.043 % increase in capital flight in the long run. Regression results of lagged capital flight on capital flight showed a coefficient of 0.904. The p-value was 0.000 meaning that a one % increase in lagged capital flight would lead to a 0.904 % increase in capital flight. The study recommended that the government devises policies that would prevent further capital flight and generate capital flight reversal.
Keywords: {'name': 'Capital Flight'}, {'name': 'Corruption'}, {'name': 'Exchange Rate'}, {'name': 'GDP Growth Rate'}, {'name': 'Kenya'}
Authors & affiliations
Mercy Mwangi
Affiliation not supplied
Amos Njuguna
Affiliation not supplied
George Achoki
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1111/1467-9701.00209
Abotsi, A.K. (2018). Influence of Governance Indicators on Illicit Financial Outflow from Developing Countries. Contemporary Economics, 12 (2), 139-152 https:// doi.org /10.5709/ce.1897-9254.268
DOI: 10.46745/ilma.jbs.2015.11.02.05
Ajayi, I.S. (2007). Dynamics of capital flight: Causes and determinants. Paper prepared for the Senior Policy Seminar on Capital Flight from Sub-Saharan Africa: Implications for Macroeconomic Management and Growth, Pretoria, South Africa, 30 October to 2 November 2007.
DOI: 10.1080/713673164
DOI: 10.1016/0022-1996(89)90052-4
DOI: 10.19030/iber.v11i1.6666
Ali, A. and B. Walters (2011). On the Causes of Capital Flight from Sub-Saharan Africa. University of Manchester Working Papers.
DOI: 10.2139/ssrn.2885742
Barasa, T. (2018). Illicit Financial Flows in Kenya: Mapping of the Literature and Synthesis of the Evidence. www.pasgr.org/wp-content/uploads/2018/.../Kenya-Illicit-Financial-Flows-Report.pdf
DOI: 10.1080/00220380412331322261
DOI: 10.1080/00220380802242453
DOI: 10.1016/j.jimonfin.2015.12.009
DOI: 10.1093/jae/ejh042
Creswell, J. W., Plano Clark, V. L., Gutmann, M and Hanson, W. (2003). Advanced mixed methods research designs. In Handbook on mixed methods in the behavioral and social sciences, ed. A. Tashakkori and C. Teddlie, 209–40. Thousand Oaks, CA: Sage.
Deppler, M. and Williamson, M. (1987). Capital flight: Concepts, measurement and Issues. Staff Studies for the World Economic Outlook. Washington, DC: The International Monetary Fund.
DOI: 10.1108/JES-10-2016-0212
Egbe, O. J. (2015). A Dynamic Analysis of the Impact of Capital Flight on Real Exchange Rate in Nigeria. IOSR Journal of Economics and Finance, 6 (1), 2321–5933
DOI: 10.4337/9781781008058
DOI: 10.1007/BF02925467
DOI: 10.5465/amr.2003.8925227
DOI: 10.1111/j.1467-8268.2009.00226.x
DOI: 10.47963/jobed.2017.06
Gachoki, C. and Nyang ’oro, O. ( 2016). Impact of Capital Flight on Private Investment in Kenya. International Journal of Economics, 1 (2),1 – 15.
DOI: 10.1111/1467-8268.12180
Greene, W. H. (2012, Econometric Analysis, Prentice Hall. 7th ed.
Gusarova, V. (2009). The impact of Capital flight on economic growth. Unpublished Master’s Thesis of the KYIV School of `Economics.
Hasnul, A. G. and Masih, M. (2016). Role of instability in affecting capital flight.Magnitude: An ARDL bounds testing approach. Paper No. 72086, M P R A, Paper No. 72086.
Heggstad, K. and Fjeldstad, O.H. (2010). How banks assist capital flight from Africa: A literature review. Technical report, The Norwegian Agency for Development Cooperation (NORAD).
Hermes, N., Lensink, R. and Murinde, V. (2002). Capital flight, policy uncertainty, and the instability of the international financial system. In A. Mullineux and V. Murinde, eds., Handbook of International Banking. Cheltenham: Edward Elgar (forthcoming) IMF.
DOI: 10.1080/14662043.2014.955981
DOI: 10.2139/ssrn.1341946
Kar, D. and Cartwright-Smith, D. (2010). Illicit Financial Flows from Africa: Hidden Resource for Development. Washington, DC: Global Financial Integrity.
Kar, D and Spanjers, J. (2014). Illicit Financial Flows from Developing Countries: 2003-2012. Global Financial Integrity. Retrieved from www. gfintegrity. Org.
Kindleberger, C. P. (1987). A Historical Perspective,in: Donald R. Lessard, and John Williamson (eds.), Capital Flight and Third World Debt, Washington DC, Institute for International Economics, 7-26.
Kipyegon, L. (2004). Determinants of capital flight from kenya. Unpublised masters thesis. Kenyatta University.
DOI: 10.35188/UNU-WIDER/2015/023-2
DOI: 10.1080/10168730601027161
Letete, E. M. (2015). Essays on Institutions and Economic Development in Kenya: Degree of Doctor of Philosophy Thesis. University of Cape Town.
Letete, E. and Sarr, M. (2017). Illicit Financial Flows and Political Institutions in Kenya, Working Paper Series N° 275, African Development Bank, Abidjan, Côte d’Ivoire.
Liew, S.L. (2016). Review on Determinants of Capital Flight Review on Determinants of Capital Flight. M P A. Retrieved from https://mpra.ub.uni-muenchen.de/70445/
Lucas, R. E. (1990). Why Doesn’t Capital Flow from Rich to Poor Countries? American Economic Review, 80 (2), 92-9
Moeva, Z. S.A. (2007). Determinants of Capital Flight in Kenya (1987-2007). Unpublished Master thesis, University of Nairobi
DOI: 10.1111/1467-8268.12185
DOI: 10.1111/1467-8268.12183
DOI: 10.1111/1467-8268.12178
Mudida, R. (2011). Empirical Aspects Of Capital Flight in Kenya, 1970-2009. Nairobi: Navarra Center for International Development Working Paper Nº 08/2011.
Ndiaye, A.S. (2011). Capital Flight and its Determinants in the Franc Zone. AERC Research Paper No.215. African Economic Research Consortium, Nairobi.
Ndiaye, A.S. (2014). Is Capital Flight Decisive in Explaining Economic Growth Performance in the AfricanFranc Zone?” GDN 15 TH Annual Global Development Conference on Structural Transformation in Africa and Beyond. 18-20 June 2014, Accra, Ghana.
DOI: 10.1016/S0305-750X(02)00181-X
Ndikumana, L. and Boyce, J. K. (2008). New Estimates of Capital Flight from Sub-Saharan African Countries: Linkages with External Borrowing and Policy Options. PERI/UMass, Working Paper 166.
DOI: 10.2139/ssrn.2202215
DOI: 10.1080/02692171.2010.483468
Ndikumana, L. and Boyce, J. K. (2012). Capital Flight from North African Countries. PERI Research Report. Amherst, MA: Political Economy Research Institute
DOI: 10.35188/UNU-WIDER/2016/101-7
Ndikumana, L. and Boyce, J. K. (2018). Capital Flight from Africa: Updated Methodology and New Estimates PERI/UMass, Working Paper.
Nkurunziza, D. J. (2012). Illicit Financial Flows: A Constraint on Poverty Reduction in Africa. Association of Concerned Africa. Scholars Bulletin, 87, 15-21.
DOI: 10.1093/acprof:oso/9780198718550.003.0004
Ndikumana (eds.), Capital Flight from Africa: Causes, Effects and Policy Issues (pp. 81–110), Oxford University Press, Oxford.
Ng’eno, N.K. (2000). Capital Flight in Kenya. In: Ajayi, I. and Khan, M. (eds). External Debt and Capital Flight in Sub-Saharan Africa. Washington, D.C.: The IMF Institute., 300- 321.
DOI: 10.31686/ijier.vol3.iss8.407
Onodugo, V. A., Kalu, I. E., Anowor, O. F., and Ukweni, N. O. (2014). Is Capital Flight Healthy for Nigerian Economic Growth? An Econometric Investigation. Journal of Empirical Economics, 3(1), 10–24.
DOI: 10.1142/S0217590816500429
DOI: 10.1353/jda.2018.0053
Scharfstein, D. S, and Jeremy C, S. (1990). Herd Behaviour and Investment. Amercian Economic Review, 80, 465-479. https://doi.org/10.1.1.184.4434& &t&rep=rep1ype=pdf
Smith, A. (1976). An Inquiry into the Nature and Causes of the Wealth of Nations, ed. by RH. Campbell and AS. Skinner, 2 vol. (Oxford: Clarendon Press).
Tashakkori, A. and Teddlie. C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Applied Social Research Methods Series, vol. 46. Thousand Oaks, CA:Sage.
Transparency International, (2016). Corruption Perceptions Index 2016. Retrieved from https://www.transparency.org/news/feature/corruption_perceptions_index_2016
Trabelsi, M.A., Kharrat, O., Feki, R. (2018). The Root Causes of Capital Flight in Tunisia: An Empirical Investigation. International Journal of Social Science and Economic Research, 3, (9).
Uddin, M. J., Yousuf, M. and Islam, R. (2017). Capital flight affecting determinants in Bangladesh: An Econometric Estimation. International Journal of Economics, Commerce and Management 8. Sage
Waris, A. and Fröberg, K. F. (2011). Bringing the billions back How Africa and Europe can end illicit capital flight. Stockholm: Forum Syd förlag.
DOI: 10.11648/j.eco.20160505.11