Qualitative comparative analysis as a method for project studies: The case of energy infrastructure. (November 2020)

• Record Type: Journal Article
• Authors: Invernizzi, Diletta Colette; Locatelli, Giorgio; Brookes, Naomi; Davis, Allison
• Is Part Of: Renewable & sustainable energy reviews. Volume 133(2020)
• Publication Date: 2020-11
• Subjects: Research method -- Qualitative comparative analysis -- Megaproject -- Small-medium size -- End-of-Life -- Nuclear decommissioning; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2020.110314
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Empirical research involving projects is an important and common way to advance knowledge in the energy sector, and there are well-established approaches for qualitative analysis of single or few cases (1–10 cases) as well as quantitative analysis of large databases (from 50+ cases). However, the "middle-ground" of analysing 10–50 cases is an unknown territory, and very few approaches exist to deal with numbers of cases that lie in the range of 10–50. This paper shows how this "middle-ground" can be explored through Qualitative Comparative Analysis (QCA). This is a method that can be applied to energy infrastructure projects (such as construction, operations, and decommissioning of power plants) in order to study causal inference (e.g. factors associated with outcomes). This paper demonstrates the potential of QCA by showing its application on an energy infrastructure phenomenon with an intermediate number of cases, that of nuclear decommissioning projects. These projects are becoming increasingly important to society and have multibillion US dollar budgets. Moreover, their characteristics need to urgently be matched with their project performance in order to avoid even further cost overruns. The application of QCA to 24 European nuclear decommissioning projects shows that a combination of characteristics (such as a streamlined governance structure and the presence of a storage facility for radioactive material on site) might be contributing to lower cost overruns. This paper concludes by showing how QCA can be applied to other energy infrastructure phenomena with a similar intermediate number of cases. Highlights: There is a gap in knowledge on how to conduct research with 10–50 cases. This paper shows the applicability of QCA to an intermediate number of cases. To exemplify this approach, QCA is applied to 24 nuclear decommissioning projects. Streamlined governance and storage facilities on-site can reduce overruns. Stable funding for the NDP and storage facilities on-site can reduce overruns.