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Pathways to Carbon Pollution: The Interactive Effects of Global, Political, and Organizational Factors on Power Plants’ CO2 Emissions

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  • Grant, Don
  • Jorgenson, Andrew
  • Longhofer, Wesley

Abstract

Climate change is arguably the greatest threat to society as power plants, the single largest human source of heat-trapping pollution, continue to emit massive amounts of carbon into the atmosphere. Sociologists have identified several possible structural determinants of electricity-based CO2 emissions, including international trade and global normative regimes, national political–legal systems, and organizational size and age. But because they treat these factors as competing predictors, scholars have yet to examine how they might work together to explain why some power plants emit vastly more pollutants than others. Using a worldwide data set of utility facilities and fuzzy-set methods, we analyze the conjoint effects of global, political, and organizational conditions on fossil-fueled plants’ CO2 emissions. Findings reveal that hyperpolluters’ emission rates are a function of four distinct causal recipes, which we label coercive, quiescent, expropriative, and inertial configurations, and these same sets of conditions also increase plants’ emission levels.

Suggested Citation

  • Grant, Don & Jorgenson, Andrew & Longhofer, Wesley, 2018. "Pathways to Carbon Pollution: The Interactive Effects of Global, Political, and Organizational Factors on Power Plants’ CO2 Emissions," SocArXiv r2fyt, Center for Open Science.
  • Handle: RePEc:osf:socarx:r2fyt
    DOI: 10.31219/osf.io/r2fyt
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    References listed on IDEAS

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    1. Don Grant & Andrew Jorgenson & Wesley Longhofer, 2013. "Targeting electricity’s extreme polluters to reduce energy-related CO 2 emissions," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 3(4), pages 376-380, December.
    2. Witold J. Henisz, 2002. "The institutional environment for infrastructure investment," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(2), pages 355-389.
    3. Richard York, 2012. "Asymmetric effects of economic growth and decline on CO2 emissions," Nature Climate Change, Nature, vol. 2(11), pages 762-764, November.
    4. Kyle C. Longest & Stephen Vaisey, 2008. "fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 79-104, February.
    5. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, June.
    6. Harland Prechel & George Touche, 2014. "The Effects of Organizational Characteristics and State Environmental Policies on Sulfur-Dioxide Pollution in U.S. Electrical Energy Corporations," Social Science Quarterly, Southwestern Social Science Association, vol. 95(1), pages 76-96, March.
    7. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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    Cited by:

    1. Dustin T. Hill & Elizabeth S. Vidon & Mary B. Collins, 2020. "Public money and private interests: United States government contract awardees’ contribution to industrial pollution production," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 10(3), pages 213-225, September.
    2. Angela Maria D’Uggento & Alfonso Piscitelli & Nunziata Ribecco & Germana Scepi, 2023. "Perceived climate change risk and global green activism among young people," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1167-1195, October.
    3. Dana R. Fisher & Sohana Nasrin, 2021. "Climate activism and its effects," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.

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