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The (Uneven) Spatial Distribution of the Bakken Oil Boom

Author

Listed:
  • Johanna Richter
  • Alliana Salanguit
  • Alexander James

Abstract

Resulting from a booming shale-energy sector, from 2007 to 2014, income per capita in North Dakota increased 40%. Does this reflect the experience of a few oil-rich counties, or were the gains more evenly distributed across the region? We find the shale boom generated significant economic gains for counties above and near the Bakken Shale Formation, but not for those farther away. We also document significant state-border effects, which are not easily explained. Conditional on distance to the Bakken region, the shale boom generated limited outward migration from South Dakota, and as a result, the economic gains that accrued there were muted.

Suggested Citation

  • Johanna Richter & Alliana Salanguit & Alexander James, 2018. "The (Uneven) Spatial Distribution of the Bakken Oil Boom," Land Economics, University of Wisconsin Press, vol. 94(4), pages 577-592.
    • Handle: RePEc:uwp:landec:v:94:y:2018:i:4:p:577-592
    Note: DOI: 10.3368/le.94.4.577
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    Citations

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    Cited by:

    1. Guettabi, Mouhcine & James, Alexander, 2020. "Who benefits from an oil boom? Evidence from a unique Alaskan data set," Resource and Energy Economics, Elsevier, vol. 62(C).
    2. Berry, Kevin & James, Alexander & Smith, Brock & Watson, Brett, 2022. "Geography, Geology, and Regional Economic Development," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    3. Rodríguez-Puello, Gabriel & Rickardsson, Jonna, 2024. "Spatial Diffusion of Economic Shocks in the Labor Market: Evidence from a Mining Boom and Bust," OSF Preprints tzmf2, Center for Open Science.
    4. Felipe de S Tavares & Alexandre Almeida & Fernando Postali, 2021. "Does Oil Dependence Affect Regional Wealth? A Regional Study for the Municipalities of the State of Rio de Janeiro," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 381-391.
    5. Rickman, Dan & Wang, Hongbo, 2020. "What goes up must come down? The recent economic cycles of the four most oil and gas dominated states in the US," Energy Economics, Elsevier, vol. 86(C).
    6. Salem Adel Ziadat & Aktham Maghyereh, 2024. "Energy profile and oil shocks: a dynamic analysis of their impact on stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 757-780, September.
    7. Grant D. Jacobsen, 2019. "Who Wins In An Energy Boom? Evidence From Wage Rates And Housing," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 9-32, January.
    8. Alexander G. James & Brock Smith, 2020. "Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution: Comment," American Economic Review, American Economic Association, vol. 110(6), pages 1905-1913, June.
    9. James, Alexander & Rivera, Nathaly M., 2022. "Oil, politics, and “Corrupt Bastards”," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    10. repec:osf:osfxxx:tzmf2_v1 is not listed on IDEAS
    11. Alexander James & Nathaly Rivera & Brock Smith, 2022. "Cash Transfers and Voter Turnout," Working Papers 2022-01, University of Alaska Anchorage, Department of Economics.

    More about this item

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)

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