IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v55y2018i13p2821-2837.html
   My bibliography  Save this article

Drink what you can pay for: Financing infrastructure in a fragmented water system

Author

Listed:
  • Tyler A Scott

    (University of California, Davis, USA)

  • Tima Moldogaziev

    (University of Georgia, USA)

  • Robert A Greer

Abstract

The article investigates the relationship between environmental violations and water utility infrastructure investment in the Houston metropolitan area through a lens of institutional fragmentation. Special purpose water districts are highly capital-intensive service jurisdictions, which makes them extremely dependent on local fiscal capacity. Fiscal capacity is also important for a water district’s ability to respond to performance failures, particularly regulatory violations. Resource base, however, is unevenly distributed between special purpose water districts in the highly fragmented Houston metro area. Therefore, while capital investments may significantly covary with fiscal capacity, not all water districts are expected to be capable of making needed infrastructure investment when problems arise. There are two major policy-relevant findings that we offer in the article. Institutional fragmentation in relatively more affluent areas does not impede the ability to invest in capital infrastructure related to both service pressures and regulatory violations. However, such ability is limited in relatively less affluent areas, where the fiscal capacity to respond to service delivery problems is limited.

Suggested Citation

  • Tyler A Scott & Tima Moldogaziev & Robert A Greer, 2018. "Drink what you can pay for: Financing infrastructure in a fragmented water system," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2821-2837, October.
  • Handle: RePEc:sae:urbstu:v:55:y:2018:i:13:p:2821-2837
    DOI: 10.1177/0042098017729092
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0042098017729092
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0042098017729092?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. John R. Larson & Larry J. Dziuk, 1995. "Groundwater to Surface Water Conversion in the Houston‐Galveston Region: Impact of Mandates on Water Quality, Subsidence, and Water Rates," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 545-554, October.
    2. Craig L. Johnson & Martin J. Luby & Tima T. Moldogaziev, 2014. "State and Local Financial Instruments," Books, Edward Elgar Publishing, number 15845.
    3. David M. Konisky & Manuel P. Teodoro, 2016. "When Governments Regulate Governments," American Journal of Political Science, John Wiley & Sons, vol. 60(3), pages 559-574, July.
    4. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    5. Wen-Hao Chen & John Myles & Garnett Picot, 2012. "Why Have Poorer Neighbourhoods Stagnated Economically while the Richer Have Flourished? Neighbourhood Income Inequality in Canadian Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(4), pages 877-896, March.
    6. Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, Håvard, 2013. "Bayesian computing with INLA: New features," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 68-83.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. HyungGun Park, 2021. "Income sorting by specialized services: Service differentiation by overlapping governments," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2761-2775, November.
    2. Deslatte, Aaron & Scott, Tyler A. & Carter, David P., 2019. "Specialized governance and regional land-use outcomes: A spatial analysis of Florida community development districts," Land Use Policy, Elsevier, vol. 83(C), pages 227-239.
    3. Dobbin, Kristin B. & Fencl, Amanda L., 2021. "Institutional diversity and safe drinking water provision in the United States," Utilities Policy, Elsevier, vol. 73(C).
    4. Agustin Leon-Moreta & Vittoria Totaro, 2023. "Interlocal interactions, municipal boundaries and water and wastewater expenditure in city-regions," Urban Studies, Urban Studies Journal Limited, vol. 60(1), pages 46-66, January.
    5. Scott, Ryan P. & Scott, Tyler A. & Greer, Robert A., 2019. "The environmental and safety performance of gas utilities in the United States," Energy Policy, Elsevier, vol. 133(C).
    6. Ryan P. Scott & Tyler A. Scott & Robert A. Greer, 2022. "Who owns the pipes? Utility ownership, infrastructure conditions, and methane emissions in United States natural gas distribution," Review of Policy Research, Policy Studies Organization, vol. 39(2), pages 170-198, March.

    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. Nikoline N. Knudsen & Jörg Schullehner & Birgitte Hansen & Lisbeth F. Jørgensen & Søren M. Kristiansen & Denitza D. Voutchkova & Thomas A. Gerds & Per K. Andersen & Kristine Bihrmann & Morten Grønbæk , 2017. "Lithium in Drinking Water and Incidence of Suicide: A Nationwide Individual-Level Cohort Study with 22 Years of Follow-Up," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    2. Scott, Ryan P. & Scott, Tyler A., 2019. "Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement," Energy Policy, Elsevier, vol. 124(C), pages 332-345.
    3. Cho, Daegon & Hwang, Youngdeok & Park, Jongwon, 2018. "More buzz, more vibes: Impact of social media on concert distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 103-113.
    4. Brown, Paul T. & Joshi, Chaitanya & Joe, Stephen & Rue, Håvard, 2021. "A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    5. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    6. David Jiménez-Hernández & Víctor González-Calatayud & Ana Torres-Soto & Asunción Martínez Mayoral & Javier Morales, 2020. "Digital Competence of Future Secondary School Teachers: Differences According to Gender, Age, and Branch of Knowledge," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    7. Aaron Osgood‐Zimmerman & Jon Wakefield, 2023. "A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling," International Statistical Review, International Statistical Institute, vol. 91(2), pages 318-342, August.
    8. Luca Grassetti & Laura Rizzi, 2019. "The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation," Empirical Economics, Springer, vol. 56(3), pages 987-1009, March.
    9. Muff, Stefanie & Ott, Manuela & Braun, Julia & Held, Leonhard, 2017. "Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 177-193.
    10. Gressani, Oswaldo & Lambert, Philippe, 2021. "Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    11. Ferreira, Marco A.R. & Porter, Erica M. & Franck, Christopher T., 2021. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    12. Sameh Abdulah & Yuxiao Li & Jian Cao & Hatem Ltaief & David E. Keyes & Marc G. Genton & Ying Sun, 2023. "Large‐scale environmental data science with ExaGeoStatR," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
    13. John M. Humphreys & Robert B. Srygley & David H. Branson, 2022. "Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change," Geographies, MDPI, vol. 2(1), pages 1-19, January.
    14. John M. Humphreys, 2022. "Amplification in Time and Dilution in Space: Partitioning Spatiotemporal Processes to Assess the Role of Avian-Host Phylodiversity in Shaping Eastern Equine Encephalitis Virus Distribution," Geographies, MDPI, vol. 2(3), pages 1-16, July.
    15. Tyler A. Scott & Nicola Ulibarri & Ryan P. Scott, 2020. "Stakeholder involvement in collaborative regulatory processes: Using automated coding to track attendance and actions," Regulation & Governance, John Wiley & Sons, vol. 14(2), pages 219-237, April.
    16. Matthew Yap & Matthew Tuson & Berwin Turlach & Bryan Boruff & David Whyatt, 2021. "Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units," IJERPH, MDPI, vol. 18(3), pages 1-15, February.
    17. Humphreys, John M. & Srygley, Robert B. & Lawton, Douglas & Hudson, Amy R. & Branson, David H., 2022. "Grasshoppers exhibit asynchrony and spatial non-stationarity in response to the El Niño/Southern and Pacific Decadal Oscillations," Ecological Modelling, Elsevier, vol. 471(C).
    18. Christian P. Robert, 2013. "Bayesian Computational Tools," Working Papers 2013-45, Center for Research in Economics and Statistics.
    19. Rachel Lowe & Joan Ballester & James Creswick & Jean-Marie Robine & François R. Herrmann & Xavier Rodó, 2015. "Evaluating the Performance of a Climate-Driven Mortality Model during Heat Waves and Cold Spells in Europe," IJERPH, MDPI, vol. 12(2), pages 1-16, January.
    20. Yuheng Ling, 2020. "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 367-388, April.

    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:sae:urbstu:v:55:y:2018:i:13:p:2821-2837. 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: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    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.