Bootstrapping the Cost Modelling of Hydropower Projects in Sub-Saharan Africa: Case of Chinese Financed Projects

Desire Wade Atchike, Zhen-Yu Zhao and Geriletu Bao
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Desire Wade Atchike: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhen-Yu Zhao: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Geriletu Bao: Inner Mongolia Technical College of Construction, Huimin, Hohhot, Inner Mongolia Autonomous Region 010070, P. R. China.

International Journal of Energy Economics and Policy, 2020, vol. 10, issue 3, 136-146

Abstract: In last decades, many scholars have studied the cost of hydropower plants based on the capacity and head. The different correlation equations obtained depend mostly on geographical locations and electro-mechanical characteristics. As Sub-Saharan Africa remains the region with the largest untapped hydropower potential, coupled with the need of expansion of Chinese energy companies, this paper aims to estimate the cost of hydropower projects financed and constructed by Chinese companies in Sub-Saharan Africa. The data used in this study were rigorously selected. After refinement of the raw data, screening was performed to improve the quality of the database suitable for the log transformed linear regression. Furthermore, a bootstrap resampling with replacement was applied to assure the robustness of the model. The results show a good accuracy of the model confirmed by the high value of the coefficient of determination and an average error

Keywords: Hydropower project cost; Capex modelling; bootstrap resampling; Sub-Saharan Africa; Chinese investment. (search for similar items in EconPapers)
JEL-codes: A10 C39 Q40 (search for similar items in EconPapers)
Date: 2020
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