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Spatial–temporal dynamics of structural unemployment in declining coal mining regions and potentialities of the ‘just transition’

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  • Mark, Ebba
  • Rafaty, Ryan
  • Schwarz, Moritz

Abstract

A rapid decarbonisation of the United States economy is expected to disproportionately impact regions historically embedded in domestic fossil fuel production. For decades, social scientists have documented the economic and human toll of deindustrialisation, foreshadowing the transitional risks that these regions may face amidst decarbonisation. However, econometric studies evaluating the magnitude, duration, and spatial distribution of unemployment impacts in declining mining regions remain scarce, despite their pertinence to policymaking. Therefore, using econometric estimation methods that control for unobserved heterogeneity via two-way fixed effects, spatial effects, heterogeneous time trends, and grouped fixed effects for a panel of 3,072 US counties covering 2002–2019, we demonstrate that coal mine closures induce a contemporaneous rise in county unemployment rate with spatial ripple effects. Furthermore, evidence of local-level resilience to such shocks over a two-year time horizon is weak. To further account for county-level heterogeneity, we construct a typology of coal counties based on qualities theorised to be resilient to industrial decline. Our findings suggest the significant potential of investing in alternative sectors in localities with promising levels of economic diversity, retraining job seekers, providing relocation support in rural areas, and subsidising childcare in places with low female labour force participation.

Suggested Citation

  • Mark, Ebba & Rafaty, Ryan & Schwarz, Moritz, 2024. "Spatial–temporal dynamics of structural unemployment in declining coal mining regions and potentialities of the ‘just transition’," Energy Policy, Elsevier, vol. 195(C).
  • Handle: RePEc:eee:enepol:v:195:y:2024:i:c:s0301421524003586
    DOI: 10.1016/j.enpol.2024.114338
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    as
    1. Mayra Z Rodriguez & Cesar H Comin & Dalcimar Casanova & Odemir M Bruno & Diego R Amancio & Luciano da F Costa & Francisco A Rodrigues, 2019. "Clustering algorithms: A comparative approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-34, January.
    2. Antonina Scheer & Moritz Schwarz & Debbie Hopkins & Ben Caldecott, 2022. "Whose jobs face transition risk in Alberta? Understanding sectoral employment precarity in an oil-rich Canadian province," Climate Policy, Taylor & Francis Journals, vol. 22(8), pages 1016-1032, September.
    3. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    4. Betz, Michael R. & Partridge, Mark D. & Farren, Michael & Lobao, Linda, 2015. "Coal mining, economic development, and the natural resources curse," Energy Economics, Elsevier, vol. 50(C), pages 105-116.
    5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    6. Stratford Douglas & Anne Walker, 2017. "Coal Mining And The Resource Curse In The Eastern United States," Journal of Regional Science, Wiley Blackwell, vol. 57(4), pages 568-590, September.
    7. John E. T. Bistline & Neil R. Mehrotra & Catherine Wolfram, 2023. "Economic Implications of the Climate Provisions of the Inflation Reduction Act," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 54(1 (Spring), pages 77-182.
    8. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    9. Marchand, Joseph, 2012. "Local labor market impacts of energy boom-bust-boom in Western Canada," Journal of Urban Economics, Elsevier, vol. 71(1), pages 165-174.
    10. Paredes, Dusan & Komarek, Timothy & Loveridge, Scott, 2015. "Income and employment effects of shale gas extraction windfalls: Evidence from the Marcellus region," Energy Economics, Elsevier, vol. 47(C), pages 112-120.
    11. 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.
    12. George I Treyz, 1993. "The Dynamics of U.S. Internal Migration," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 209-214, May.
    13. Scheer, Antonina & Schwarz, Moritz & Hopkins, Debbie & Caldecott, Ben, 2022. "Whose jobs face transition risk in Alberta? Understanding sectoral employment precarity in an oil-rich Canadian province," LSE Research Online Documents on Economics 115358, London School of Economics and Political Science, LSE Library.
    14. Robert Bacon & Masami Kojima, 2011. "Issues in Estimating the Employment Generated by Energy Sector Activities," World Bank Publications - Reports 16969, The World Bank Group.
    15. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    16. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    17. Millo, Giovanni, 2017. "A simple randomization test for spatial correlation in the presence of common factors and serial correlation," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 28-38.
    18. Weinstein, Amanda L., 2014. "Local Labor Market Restructuring in the Shale Boom," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 44(01).
    19. Gianfranco Piras, 2014. "Impact estimates for static spatial panel data models in R," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 213-223, October.
    20. Dan Black & Terra McKinnish & Seth Sanders, 2005. "The Economic Impact Of The Coal Boom And Bust," Economic Journal, Royal Economic Society, vol. 115(503), pages 449-476, April.
    21. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    22. McCauley, Darren & Heffron, Raphael, 2018. "Just transition: Integrating climate, energy and environmental justice," Energy Policy, Elsevier, vol. 119(C), pages 1-7.
    23. Dan A. Black & Terra G. McKinnish & Seth G. Sanders, 2005. "Tight Labor Markets and the Demand for Education: Evidence from the Coal Boom and Bust," ILR Review, Cornell University, ILR School, vol. 59(1), pages 3-16, October.
    24. Josh Blonz & Brigitte Roth Tran & Erin E. Troland, 2023. "The Canary in the Coal Decline: Appalachian Household Finance and the Transition from Fossil Fuels," NBER Working Papers 31072, National Bureau of Economic Research, Inc.
    25. Dan Black & Kermit Daniel & Seth Sanders, 2002. "The Impact of Economic Conditions on Participation in Disability Programs: Evidence from the Coal Boom and Bust," American Economic Review, American Economic Association, vol. 92(1), pages 27-50, March.
    26. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    27. Sanya Carley & Tom P. Evans & Michelle Graff & David M. Konisky, 2018. "A framework for evaluating geographic disparities in energy transition vulnerability," Nature Energy, Nature, vol. 3(8), pages 621-627, August.
    28. Miljkovic, Dragan & Ripplinger, David, 2016. "Labor market impacts of U.S. tight oil development: The case of the Bakken," Energy Economics, Elsevier, vol. 60(C), pages 306-312.
    29. Sovacool, Benjamin K. & Turnheim, Bruno & Hook, Andrew & Brock, Andrea & Martiskainen, Mari, 2021. "Dispossessed by decarbonisation: Reducing vulnerability, injustice, and inequality in the lived experience of low-carbon pathways," World Development, Elsevier, vol. 137(C).
    30. Plümper, Thomas & Troeger, Vera E., 2019. "Not so Harmless After All: The Fixed-Effects Model," Political Analysis, Cambridge University Press, vol. 27(1), pages 21-45, January.
    31. Rickard, Stephanie J., 2020. "Economic geography, politics, and policy," LSE Research Online Documents on Economics 104716, London School of Economics and Political Science, LSE Library.
    32. repec:rri:wpaper:201305 is not listed on IDEAS
    33. Healy, Noel & Barry, John, 2017. "Politicizing energy justice and energy system transitions: Fossil fuel divestment and a “just transition”," Energy Policy, Elsevier, vol. 108(C), pages 451-459.
    34. Raimi, Daniel, 2021. "Mapping County-Level Exposure and Vulnerability to the US Energy Transition," RFF Working Paper Series 21-36, Resources for the Future.
    35. Jenkins, Kirsten & Sovacool, Benjamin K. & McCauley, Darren, 2018. "Humanizing sociotechnical transitions through energy justice: An ethical framework for global transformative change," Energy Policy, Elsevier, vol. 117(C), pages 66-74.
    36. Kosuke Imai & In Song Kim, 2019. "When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 467-490, April.
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