IDEAS home Printed from https://ideas.repec.org/p/fip/feddwp/103651.html

Are We Consuming Too Much Groundwater?

Author

Abstract

We study the optimality of human groundwater extraction from many of the world’s 3,400 aquifers, where institutional or market failures may produce non-optimal extraction decisions. We use remote sensing and economic data to estimate a dynamic model of water extraction for each aquifer, recover the discount factor that rationalizes observed groundwater extraction, and compare it against Ramsey and market benchmarks. Three- to four-fifths of aquifers are extracted more rapidly than is optimal, decreasing aquifer present value by several percent, and creating trillions of dollars in present value welfare losses. Policies that guarantee users constant water quantities indefinitely, through subsidies or prior appropriation, or policy rules that fully discount future extraction, generate larger welfare costs. A sustainable extraction path that maintains current fill forever generates meaningfully lower welfare than the optimal extraction path, because most aquifer stocks are already inefficiently low.

Suggested Citation

  • Brian Greaney & Joseph S. Shapiro & Katherine R. H. Wagner, 2026. "Are We Consuming Too Much Groundwater?," Working Papers 2626, Federal Reserve Bank of Dallas.
  • Handle: RePEc:fip:feddwp:103651
    DOI: 10.24149/wp2626
    as

    Download full text from publisher

    File URL: https://www.dallasfed.org/research/papers/2026/wp2626
    Download Restriction: no

    File URL: https://www.dallasfed.org/~/media/documents/research/papers/2026/wp2626.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24149/wp2626?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Davis, Lucas W. & Martinez, Sebastian & Taboada, Bibiana, 2020. "How effective is energy-efficient housing? Evidence from a field trial in Mexico," Journal of Development Economics, Elsevier, vol. 143(C).
    2. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    3. Pindyck, Robert S & Rotemberg, Julio J, 1983. "Dynamic Factor Demands and the Effects of Energy Price Shocks," American Economic Review, American Economic Association, vol. 73(5), pages 1066-1079, December.
    4. Karp, Larry, 2017. "Natural Resources as Capital," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262534053, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2026. "Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(2), pages 356-382, June.
    3. Anil Kumar, 2018. "Do Restrictions on Home Equity Extraction Contribute to Lower Mortgage Defaults? Evidence from a Policy Discontinuity at the Texas Border," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 268-297, February.
    4. Rajagopal, Dagmar & Shah, Anwar, 1995. "A rational expectations model for tax policy analysis: An evaluation of tax incentives for the textile, chemical and pharmaceutical industries of Pakistan," Journal of Public Economics, Elsevier, vol. 57(2), pages 249-276, June.
    5. Fan, Jianqing & Jiang, Bai & Sun, Qiang, 2022. "Bayesian factor-adjusted sparse regression," Journal of Econometrics, Elsevier, vol. 230(1), pages 3-19.
    6. Catherine J. Morrison, 1990. "Market Power, Economic Profitability and Productivity Growth Measurement: An Integrated Structural Approach," NBER Working Papers 3355, National Bureau of Economic Research, Inc.
    7. Jun Li & Serguei Netessine & Sergei Koulayev, 2018. "Price to Compete … with Many: How to Identify Price Competition in High-Dimensional Space," Management Science, INFORMS, vol. 64(9), pages 4118-4136, September.
    8. Alexandre Belloni & Victor Chernozhukov, 2011. "High Dimensional Sparse Econometric Models: An Introduction," Papers 1106.5242, arXiv.org, revised Sep 2011.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur, 2016. "Inference in High-Dimensional Panel Models With an Application to Gun Control," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 590-605, October.
    10. Brian Quistorff & Gentry Johnson, 2020. "Machine Learning for Experimental Design: Methods for Improved Blocking," Papers 2010.15966, arXiv.org.
    11. Taisuke Otsu & Myung Hwan Seo, 2014. "Asymptotics for maximum score method under general conditions," STICERD - Econometrics Paper Series 571, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    12. Considine, Timothy J. & Larson, Donald F., 2006. "The environment as a factor of production," Journal of Environmental Economics and Management, Elsevier, vol. 52(3), pages 645-662, November.
    13. Claudia S. Gómez-López & Luis A. Puch, 2008. "Uso de Energía en Economías Exportadoras de Petróleo," Economic Reports 24-08, FEDEA.
    14. Sauvenier, Mathieu & Van Bellegem, Sébastien, 2023. "Direction Identification and Minimax Estimation by Generalized Eigenvalue Problem in High Dimensional Sparse Regression," LIDAM Discussion Papers CORE 2023005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Lecca, Patrizio & Swales, Kim & Turner, Karen, 2011. "An investigation of issues relating to where energy should enter the production function," Economic Modelling, Elsevier, vol. 28(6), pages 2832-2841.
    16. Chen, Xiaodong & Miao, Zhuang & Wu, Ge & Zhu, Pengyu, 2024. "City-level green growth accounting: Evidence from China's thirteen urban agglomerations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    17. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    18. Federico Revelli, 2012. "Business taxation and economic performance in hierarchical government structures," Working Papers 2012/12, Institut d'Economia de Barcelona (IEB).
    19. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    20. Caballero, Julián, 2021. "Corporate dollar debt and depreciations: All’s well that ends well?," Journal of Banking & Finance, Elsevier, vol. 130(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:feddwp:103651. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Amy Chapman (email available below). General contact details of provider: https://edirc.repec.org/data/frbdaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.