IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v65y2020i3d10.1007_s00168-020-00998-0.html
   My bibliography  Save this article

Evaluating determinants of shale gas well locations in an urban setting

Author

Listed:
  • Jeffrey Rous

    (University of North Texas)

  • Vicki Oppenheim

    (University of North Texas)

  • Myungsup Kim

    (University of North Texas)

  • Matthew Fry

    (University of North Texas)

  • Chetan Tiwari

    (University of North Texas)

  • Murray Rice

    (University of North Texas)

Abstract

This research aims to identify factors that contribute to gas well operator pad site location decisions in Denton, Texas. Using new production technologies, a wave of shale gas extraction between 2000 and 2014 resulted in the development of 854 gas wells on 539 pad sites within 2000 US Census block groups that include parts of the City of Denton. For pad site placement, we consider multiple location decision factors. We use both Poisson and zero-inflated Poisson regressions for the analyses. Unsurprisingly, census block groups sitting atop the Barnett Shale have more pad sites than block groups away from the Barnett Shale. Beyond that, we find statistically significant negative correlations between both housing unit density and the percentage of block group land area falling within the Denton city limits indicating that both urban development, and the regulations that go along with it, affect pad site development. However, we do not find that setback regulations in less urbanized areas curtail pad site development. We also find that access to pipeline infrastructure—needed to transport gas from each pad site—has a positive effect on pad site development. This indicates that production costs associated with potential sites do matter. It is unusual for extraction operators to share pipelines connecting pad sites to transmission lines. This could have the effect of limiting competition for natural gas property rights and reduce royalties paid to mineral rights owners. In terms of demographic or socioeconomic factors that may matter, we find income is negatively correlated with pad site development while education is positively correlated with pad site development. Finally, we find evidence that pad sites cluster. Clustering could advantage access to main roadways, reduce costs to extend pipelines, or be an outcome of urban developments that constrain pads from locating in certain areas.

Suggested Citation

  • Jeffrey Rous & Vicki Oppenheim & Myungsup Kim & Matthew Fry & Chetan Tiwari & Murray Rice, 2020. "Evaluating determinants of shale gas well locations in an urban setting," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(3), pages 645-671, December.
  • Handle: RePEc:spr:anresc:v:65:y:2020:i:3:d:10.1007_s00168-020-00998-0
    DOI: 10.1007/s00168-020-00998-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-020-00998-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00168-020-00998-0?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Charles F. Mason & Lucija A. Muehlenbachs & Sheila M. Olmstead, 2015. "The Economics of Shale Gas Development," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 269-289, October.
    2. Vissing, Ashley, 2015. "Private Contracts as Regulation: A Study of Private Lease Negotiations Using the Texas Natural Gas Industry," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(2), pages 1-18, August.
    3. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    4. Jason Brown, 2014. "Production of natural gas from shale in local economies: a resource blessing or curse?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 1-29.
    5. Kroepsch, Adrianne C., 2018. "Horizontal drilling, changing patterns of extraction, and piecemeal participation: Urban hydrocarbon governance in Colorado," Energy Policy, Elsevier, vol. 120(C), pages 469-480.
    6. Timothy Fitzgerald, 2010. "Evaluating Split Estates in Oil and Gas Leasing," Land Economics, University of Wisconsin Press, vol. 86(2), pages 294-312.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Thomas Brenner & Andr� Mühlig, 2013. "Factors and Mechanisms Causing the Emergence of Local Industrial Clusters: A Summary of 159 Cases," Regional Studies, Taylor & Francis Journals, vol. 47(4), pages 480-507, April.
    9. Jason Brown & Dayton Lambert, 2014. "Location decisions of natural gas extraction establishments: a smooth transition count model approach," Research Working Paper RWP 14-5, Federal Reserve Bank of Kansas City.
    10. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
    11. Gavin Bridge, 2008. "Global production networks and the extractive sector: governing resource-based development," Journal of Economic Geography, Oxford University Press, vol. 8(3), pages 389-419, May.
    12. Hayter, Roger & Patchell, Jerry, 2011. "Economic Geography: An Institutional Approach," OUP Catalogue, Oxford University Press, number 9780195433791.
    13. Murtazashvili, Ilia, 2017. "Institutions and the shale boom," Journal of Institutional Economics, Cambridge University Press, vol. 13(1), pages 189-210, March.
    14. Seema Arora & Timothy N. Cason, 1999. "Do Community Characteristics Influence Environmental Outcomes? Evidence from the Toxics Release Inventory," Southern Economic Journal, John Wiley & Sons, vol. 65(4), pages 691-716, April.
    15. Vissing, Ashley, 2015. "Private Contracts as Regulation: A Study of Private Lease Negotiations Using the Texas Natural Gas Industry," Agricultural and Resource Economics Review, Cambridge University Press, vol. 44(2), pages 120-137, August.
    16. Fry, Matthew, 2013. "Urban gas drilling and distance ordinances in the Texas Barnett Shale," Energy Policy, Elsevier, vol. 62(C), pages 79-89.
    17. William E. Hefley & Shaun M. Seydor, 2015. "Direct Economic Impact of the Value Chain of a Marcellus Shale Gas Well," Natural Resource Management and Policy, in: William E. Hefley & Yongsheng Wang (ed.), Economics of Unconventional Shale Gas Development, edition 127, pages 15-45, Springer.
    18. Fry, Matthew & Brannstrom, Christian, 2017. "Emergent patterns and processes in urban hydrocarbon governance," Energy Policy, Elsevier, vol. 111(C), pages 383-393.
    19. Matthew E. Kahn, 2002. "Demographic change and the demand for environmental regulation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 45-62.
    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. Ericson, Sean J. & Kaffine, Daniel T. & Maniloff, Peter, 2020. "Costs of increasing oil and gas setbacks are initially modest but rise sharply," Energy Policy, Elsevier, vol. 146(C).
    2. Fouquet, Roger, 2012. "The demand for environmental quality in driving transitions to low-polluting energy sources," Energy Policy, Elsevier, vol. 50(C), pages 138-149.
    3. Richard G. Newell & Brian C. Prest & Ashley Vissing, 2016. "Trophy Hunting vs. Manufacturing Energy: The Price-Responsiveness of Shale Gas," NBER Working Papers 22532, National Bureau of Economic Research, Inc.
    4. Max Harleman & Pramod Manohar & Elaine L. Hill, 2022. "Negotiations of Oil and Gas Auxiliary Lease Clauses: Evidence from Pennsylvania’s Marcellus Shale," NBER Working Papers 30806, National Bureau of Economic Research, Inc.
    5. Michanowicz, Drew R. & Buonocore, Jonathan J. & Konschnik, Katherine E. & Goho, Shaun A. & Bernstein, Aaron S., 2021. "The effect of Pennsylvania's 500 ft surface setback regulation on siting unconventional natural gas wells near buildings: An interrupted time-series analysis," Energy Policy, Elsevier, vol. 154(C).
    6. Ilia Murtazashvili & Ennio E. Piano, 2019. "Governance of shale gas development: Insights from the Bloomington school of institutional analysis," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 32(2), pages 159-179, June.
    7. Brown, Jason P. & Fitzgerald, Timothy & Weber, Jeremy G., 2016. "Capturing rents from natural resource abundance: Private royalties from U.S. onshore oil & gas production," Resource and Energy Economics, Elsevier, vol. 46(C), pages 23-38.
    8. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    9. Celia Bilbao-Terol, 2009. "Impacts of an Iron and Steel Plant on Residential Property Values," European Planning Studies, Taylor & Francis Journals, vol. 17(9), pages 1421-1436, September.
    10. Burnett, J. Wesley, 2015. "FOREWORD: Unconventional Oil and Gas Development: Economic, Environmental, and Policy Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(2), pages 1-15, August.
    11. Sanglim Yoo & John E. Wagner, 2016. "A review of the hedonic literatures in environmental amenities from open space: a traditional econometric vs. spatial econometric model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 141-166, March.
    12. Gregory T. Niemesh & L. Allison Jones-Farmer & Joseph Hart & William Holmes & Nathan Soundappan, 2020. "The Impact of Land Bank Demolitions on Property Values," Economics Bulletin, AccessEcon, vol. 40(1), pages 217-233.
    13. Galarraga, Ibon & González-Eguino, Mikel & Markandya, Anil, 2011. "Willingness to pay and price elasticities of demand for energy-efficient appliances: Combining the hedonic approach and demand systems," Energy Economics, Elsevier, vol. 33(S1), pages 66-74.
    14. David M. Brasington & Diane Hite & Andres Jauregui, 2015. "House Price Impacts Of Racial, Income, Education, And Age Neighborhood Segregation," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 442-467, June.
    15. Nathalie Picard & Constantinos Antoniou, 2014. "Econometric Methods For Land Use Microsimulation," Working Papers hal-01092031, HAL.
    16. José Armando Cobián Álvarez & Budy P. Resosudarmo, 2019. "The cost of floods in developing countries’ megacities: a hedonic price analysis of the Jakarta housing market, Indonesia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 555-577, October.
    17. Papon, Francis & Nguyen-Luong, Dany & Boucq, Elise, 2015. "Should any new light rail line provide real estate gains, or not? The case of the T3 line in Paris," Research in Transportation Economics, Elsevier, vol. 49(C), pages 43-54.
    18. Loïc Lévi & Jean Jacques Nowak & Sylvain Petit & Hakim Hammadou, 2022. "Industrial legacy and hotel pricing: An application of spatial hedonic pricing analysis in Nord-Pas-de-Calais, France," Tourism Economics, , vol. 28(4), pages 870-898, June.
    19. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede & Kathrine von Graevenitz & Bo Jellesmark Thorsen, 2016. "Robin Hood in reverse? Assessing distributional effects of green space policy using a second-stage hedonic house price model," IFRO Working Paper 2016/07, University of Copenhagen, Department of Food and Resource Economics.
    20. 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).

    More about this item

    JEL classification:

    • Q35 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Hydrocarbon Resources
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:spr:anresc:v:65:y:2020:i:3:d:10.1007_s00168-020-00998-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.