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Guns versus Climate: How Militarization Amplifies the Effect of Economic Growth on Carbon Emissions

Author

Listed:
  • Andrew K. Jorgenson
  • Brett Clark
  • Ryan P. Thombs
  • Jeffrey Kentor
  • Jennifer E. Givens
  • Xiaorui Huang
  • Hassan El Tinay
  • Daniel Auerbach
  • Matthew C. Mahutga

Abstract

Building on cornerstone traditions in historical sociology, as well as work in environmental sociology and political-economic sociology, we theorize and investigate with moderation analysis how and why national militaries shape the effect of economic growth on carbon pollution. Militaries exert a substantial influence on the production and consumption patterns of economies, and the environmental demands required to support their evolving infrastructure. As far-reaching and distinct characteristics of contemporary militarization, we suggest that both the size and capital intensiveness of the world’s militaries enlarge the effect of economic growth on nations’ carbon emissions. In particular, we posit that each increases the extent to which the other amplifies the effect of economic growth on carbon pollution. To test our arguments, we estimate longitudinal models of emissions for 106 nations from 1990 to 2016. Across various model specifications, robustness checks, a range of sensitivity analyses, and counterfactual analysis, the findings consistently support our propositions. Beyond advancing the environment and economic growth literature in sociology, this study makes significant contributions to sociological research on climate change and the climate crisis, and it underscores the importance of considering the military in scholarship across the discipline.

Suggested Citation

  • Andrew K. Jorgenson & Brett Clark & Ryan P. Thombs & Jeffrey Kentor & Jennifer E. Givens & Xiaorui Huang & Hassan El Tinay & Daniel Auerbach & Matthew C. Mahutga, 2023. "Guns versus Climate: How Militarization Amplifies the Effect of Economic Growth on Carbon Emissions," American Sociological Review, , vol. 88(3), pages 418-453, June.
  • Handle: RePEc:sae:amsocr:v:88:y:2023:i:3:p:418-453
    DOI: 10.1177/00031224231169790
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    References listed on IDEAS

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    1. Swapna Pathak, 2020. "Ecological footprints of war: an exploratory assessment of the long-term impact of violent conflicts on national biocapacity from 1962–2009," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 10(4), pages 380-393, December.
    2. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    3. Andrew K. Jorgenson & Brett Clark & Jeffrey Kentor, 2010. "Militarization and the Environment: A Panel Study of Carbon Dioxide Emissions and the Ecological Footprints of Nations, 1970-2000," Global Environmental Politics, MIT Press, vol. 10(1), pages 7-29, February.
    4. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    5. Richard York, 2012. "Asymmetric effects of economic growth and decline on CO2 emissions," Nature Climate Change, Nature, vol. 2(11), pages 762-764, November.
    6. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    7. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    8. Arthur P. J. Mol, 2003. "Globalization and Environmental Reform: The Ecological Modernization of the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262632845, December.
    9. Kentor, Jeffrey & Clark, Rob & Jorgenson, Andrew, 2023. "The hidden cost of global economic integration: How foreign investment drives military expenditures," World Development, Elsevier, vol. 161(C).
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