Is there a net economic loss from employing reference class forecasting in the appraisal of hydropower projects?. (May 2022)

• Record Type: Journal Article
• Authors: Jenkins, G.; Olasehinde-Williams, G.; Baurzhan, S.
• Is Part Of: Renewable & sustainable energy reviews. Volume 159(2022)
• Publication Date: 2022-05
• Subjects: Reference class forecasting -- Planners' fallacy -- Hydropower -- Cost overruns -- Economic welfare -- World bank; D61 -- G31 -- O13 -- Q42; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2022.112218
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: This paper investigates the potential effects of the use of reference class forecasting on the World Bank's financing decisions, and quantifies the net economic impact of such decisions in the long run. A set of 57 World Bank-financed hydropower projects constructed between 1975 and 2015 was selected based on data availability. The findings show that reference class forecasting can help reduce net losses by preventing some hydropower projects with negative economic net present values from being executed. However, it also leads to the forfeiture of even larger amounts of net economic benefits by causing the rejection of some projects that are found, from ex-post analysis, to be economically worthwhile. Furthermore, because of the increased ex-ante rejection of projects, the loss of potentially economically positive projects from the portfolio of hydro dam projects is greatly increased. The errors in the estimation of economic net present values of these hydropower projects are highly positively correlated to the errors in the estimation of the benefits and only weakly negatively correlated to the errors in the estimation of costs. Highlights: The net economic impact of the use of reference class forecasting on a group of hydropower dams sponsored by the WBG are evaluated. Findings show that cost estimate errors are frequent occurrences in hydropower projects. The use of reference class forecasting helps reduce net losses by preventing some bad projects from being executed. The use of reference class forecasting also causes net benefits to be forfeited by rejecting positive ENPV projects. Reference class forecasting fails to improve the economic performance of hydropower projects financed by the WBG..