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Alternative Risk Transfer and Performance of Power Projects in Kenya

Author

Listed:
  • Amolo Elvis Juma Amolo, PhD

    (Lecturer PhD, University of Nairobi, Kenya)

  • Charles Mallans Rambo, PhD

    (Associate Professor PhD, University of Nairobi, School of Open and Distance Learning, Kenya)

  • Charles Misiko Wafula, PhD

    (Senior Lecturer PhD, University of Nairobi, School of Open and Distance Learning, Kenya)

Abstract

Renewable energy development has been underexploited in Kenya due to investor’s negative perception of the projects’ high investment risk which has depressed private capital penetration. The purpose of the study was to establish the extent to which Alternative Risk Transfer influence performance of hydroelectric energy projects in Kenya. The study adopted pragmatism paradigm, mixed method approach and descriptive survey design. Structured questionnaires and interview guide were used to collect quantitative and qualitative data from a census of 94 participants. Validity test of 0.775 and a reliability coefficient of 0.781 were obtained after pretesting of the instruments amongst 10% of the participants. Descriptive statistic and inferential statistic of Correlation and Regression was done at a significance level of 0.05 and thematic content analysis of qualitative data for triangulation. The hypothesis test results for H0: Alternative Risk Transfer does not significantly influence performance of hydroelectric energy projects in Kenya was rejected since P=0.000

Suggested Citation

  • Amolo Elvis Juma Amolo, PhD & Charles Mallans Rambo, PhD & Charles Misiko Wafula, PhD, 2021. "Alternative Risk Transfer and Performance of Power Projects in Kenya," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 8(12), pages 28-35, December.
    • Handle: RePEc:bjc:journl:v:8:y:2021:i:12:p:28-35
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    References listed on IDEAS

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    1. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
    2. Dionysios Pramangioulis & Konstantinos Atsonios & Nikos Nikolopoulos & Dimitrios Rakopoulos & Panagiotis Grammelis & Emmanuel Kakaras, 2019. "A Methodology for Determination and Definition of Key Performance Indicators for Smart Grids Development in Island Energy Systems," Energies, MDPI, vol. 12(2), pages 1-22, January.
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