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Moderating Effect of Political Risk on the Relationship between Capital Expenditure and Sectoral Economic Growth in Kenya

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  • Brenda Molonko
  • Samuel Nathaniel Ampah

Abstract

The study sought to determine the effect of capital expenditure on Sectoral economic growth and the moderating effect of political risk on the relationship using Auto Regressive Distributed Lag model. The study targeted 11 sectors that receive government expenditure and adopted positivist philosophy and a causal research design. Secondary data for the period 2006-2015 was collected from Kenya National Bureau of Statistics Statistical Abstracts, Kenya National Audit Office reports and Political Risk Group reports. The study conducted Hausman Test, Panel Stationarity Test and Heterogeneity Test as preliminary tests. The study found that capital expenditure has a significant effect on Sectoral economic growth both in the long run and short run. The study further found that political risk has a significant moderating effect on the relationship between capital expenditure and Sectoral economic growth in the long run at the significance level of 0.05. The study concluded that capital expenditure has an effect on sectoral economic growth in Kenya both instantaneously and in the long run. As well, Political risk curbs the effect of capital expenditure in the long run. The study recommends enhancement of capital expenditure. Additionally, the government should enhance political stability to accelerate growth.

Suggested Citation

  • Brenda Molonko & Samuel Nathaniel Ampah, 2018. "Moderating Effect of Political Risk on the Relationship between Capital Expenditure and Sectoral Economic Growth in Kenya," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(1), pages 129-139, January.
    • Handle: RePEc:ibn:ijefaa:v:10:y:2018:i:1:p:129-139
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    References listed on IDEAS

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    1. repec:aer:wpaper:293 is not listed on IDEAS
    2. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    3. Mr. Saad A. Alshahrani & Mr. Ali J Al-Sadiq, 2014. "Economic Growth and Government Spending in Saudi Arabia: an Empirical Investigation," IMF Working Papers 2014/003, International Monetary Fund.
    4. Ranjan Kumar Dash & Chandan Sharma, 2008. "Government Expenditure and Economic Growth: Evidence from India," The IUP Journal of Public Finance, IUP Publications, vol. 0(3), pages 60-69, August.
    5. Gradstein, Mark, 2002. "Governance and Growth," CEPR Discussion Papers 3270, C.E.P.R. Discussion Papers.
    6. Pedro Martins, 2011. "Aid Absorption and Spending in Africa: A Panel Cointegration Approach," Journal of Development Studies, Taylor & Francis Journals, vol. 47(12), pages 1925-1953.
    7. Edame Greg Ekpung, 2014. "Trends Analysis of Public Expenditure on Infrastructure and Economic Growth in Nigeria," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 4(4), pages 480-491.
    8. Nicholas Odhiambo, 2015. "Government Expenditure and Economic Growth in South Africa: an Empirical Investigation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(3), pages 393-406, September.
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    More about this item

    Keywords

    political risk; sectoral economic growth; capital expenditure;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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