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What is the energy policy-planning network and who dominates it?: A network and QCA analysis of leading energy firms and organizations

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  • Crawford, Seth

Abstract

This study examines the structure of the energy industry and the energy policy-planning network (EPPN). I use cross-sectional director interlocks from 2002 to examine the social networks amongst a sample of the largest energy firms, between these firms and the EPPN, and to calculate relative network centrality measures for the firms. I then use qualitative comparative analysis (QCA) to isolate specific combinations of energy firm attributes that are associated with network position. I find that the energy industry has several key intra-firm interlocks that link dominant companies to each other and that the industry is well represented on the boards of EPPN organizations. Additionally, several dominant energy firms provide links between ultra-conservative and moderate policy development organizations. Finally, QCA models suggest that firms with many employees, high revenue, and who produce oil are most likely to hold prominent positions in the EPPN—though above average political campaign contributions offer an alternative path into the network.

Suggested Citation

  • Crawford, Seth, 2012. "What is the energy policy-planning network and who dominates it?: A network and QCA analysis of leading energy firms and organizations," Energy Policy, Elsevier, vol. 45(C), pages 430-439.
    • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:430-439
    DOI: 10.1016/j.enpol.2012.02.053
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    Cited by:

    1. Andrea Rey-Martí & Pau Sendra-Pons & Dolores Garzón & Alicia Mas-Tur, 2022. "A comprehensive conceptual and bibliometric study of person-centered methodologies," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3665-3683, October.
    2. Martha A. Starr, 2014. "Qualitative And Mixed-Methods Research In Economics: Surprising Growth, Promising Future," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 238-264, April.
    3. Ferreira, Fernando A.F. & Jalali, Marjan S. & Ferreira, João J.M., 2016. "Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables," Journal of Business Research, Elsevier, vol. 69(4), pages 1471-1478.
    4. Wagemann, Claudius & Buche, Jonas & Siewert, Markus B., 2016. "QCA and business research: Work in progress or a consolidated agenda?," Journal of Business Research, Elsevier, vol. 69(7), pages 2531-2540.
    5. Steffie Lucidarme & Mathieu Marlier & Greet Cardon & Ilse Bourdeaudhuij & Annick Willem, 2014. "Critical success factors for physical activity promotion through community partnerships," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(1), pages 51-60, February.
    6. Johannes Meuer & Christian Rupietta, 2017. "A review of integrated QCA and statistical analyses," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2063-2083, September.
    7. Andreas, Jan-Justus & Burns, Charlotte & Touza, Julia, 2017. "Renewable Energy as a Luxury? A Qualitative Comparative Analysis of the Role of the Economy in the EU's Renewable Energy Transitions During the ‘Double Crisis’," Ecological Economics, Elsevier, vol. 142(C), pages 81-90.
    8. Invernizzi, Diletta Colette & Locatelli, Giorgio & Brookes, Naomi & Davis, Allison, 2020. "Qualitative comparative analysis as a method for project studies: The case of energy infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Loures, L. & Ferreira, P., 2019. "Energy consumption as a condition for per capita carbon dioxide emission growth: The results of a qualitative comparative analysis in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 220-225.

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