IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/120385.html
   My bibliography  Save this paper

The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis

Author

Listed:
  • Abildtrup, Jens
  • Garcia, Serge
  • Stenger, Anne

Abstract

Forest land use is often associated with the protection of water resources from contamination and the reduced cost of drinking water supply. This study attempted to measure the value of the forest on the quality of water resources from a contingent market, namely drinking water supply, by estimating variations in drinking water costs as a function of variations in land uses. Spatial correlations were taken into account because of the use of different geographical scales (i.e., water service area and land uses) and the potential existence of organizational and technological spillovers between water services. We found a significant negative effect of forest land use on water costs. We found no evidence of spatial spillovers concerning the management regime but did find that organizational choices (i.e., grouping of municipalities within a water service) and factors related to the scarcity of resources in neighboring water services have an impact on water costs.

Suggested Citation

  • Abildtrup, Jens & Garcia, Serge & Stenger, Anne, 2011. "The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120385, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:120385
    DOI: 10.22004/ag.econ.120385
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/120385/files/Abildtrup_Jens_520.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.120385?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Abildtrup, Jens & Strange, Niels, 2000. "The option value of non-contaminated forest watersheds," Forest Policy and Economics, Elsevier, vol. 1(2), pages 115-125, August.
    2. Nunez, Daisy & Nahuelhual, Laura & Oyarzun, Carlos, 2006. "Forests and water: The value of native temperate forests in supplying water for human consumption," Ecological Economics, Elsevier, vol. 58(3), pages 606-616, June.
    3. Serge Garcia & Marcel Boyer, 2008. "Régulation et mode de gestion : une étude econométrique sur les prix et la performance dans le secteur de l'eau potable," Annals of Economics and Statistics, GENES, issue 90, pages 35-74.
    4. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    5. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    6. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    7. Subhrendu K. Pattanayak & David T. Butry, 2005. "Spatial Complementarity of Forests and Farms: Accounting for Ecosystem Services," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 995-1008.
    8. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    9. Anne Plunket & Stéphane Saussier & Freddy Huet, 2008. "La dimension spatiale dans le choix des collectivités de déléguer leurs services publics : le cas de la distribution d'eau en France," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 45-63.
    10. Christian Langpap & Ivan Hascic & JunJie Wu, 2008. "Protecting Watershed Ecosystems through Targeted Local Land Use Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 684-700.
    11. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    12. Marcel Boyer & Serge Garcia, 2004. "Régulation et mode de gestion : une étude économétrique sur les prix et la performance," CIRANO Working Papers 2004s-60, CIRANO.
    13. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    14. Biao, Zhang & Wenhua, Li & Gaodi, Xie & Yu, Xiao, 2010. "Water conservation of forest ecosystem in Beijing and its value," Ecological Economics, Elsevier, vol. 69(7), pages 1416-1426, May.
    15. Ivan Hascic & JunJie Wu, 2006. "Land Use and Watershed Health in the United States," Land Economics, University of Wisconsin Press, vol. 82(2), pages 214-239.
    16. Julie Le Gallo & Bernard Fingleton, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties," Post-Print hal-00485035, HAL.
    17. Solène Larue & Jens Abildtrup & Bertrand Schmitt, 2011. "Positive and Negative Agglomeration Externalities: Arbitration in the Pig Sector," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(2), pages 167-183.
    18. Serge Garcia & Alban Thomas, 2001. "The Structure of Municipal Water Supply Costs: Application to a Panel of French Local Communities," Journal of Productivity Analysis, Springer, vol. 16(1), pages 5-29, July.
    19. Robert M. Clark & Richard G. Stevie, 1981. "A Water Supply Cost Model Incorporating Spatial Variables," Land Economics, University of Wisconsin Press, vol. 57(1), pages 18-32.
    20. JunJie Wu & Kathleen Segerson, 1995. "The Impact of Policies and Land Characteristics on Potential Groundwater Pollution in Wisconsin," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 1033-1047.
    21. Hein, Lars & van Koppen, Kris & de Groot, Rudolf S. & van Ierland, Ekko C., 2006. "Spatial scales, stakeholders and the valuation of ecosystem services," Ecological Economics, Elsevier, vol. 57(2), pages 209-228, May.
    22. repec:adr:anecst:y:2008:i:90:p:02 is not listed on IDEAS
    23. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
    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. Serge Garcia & Pierre-Alexandre Mahieu, 2017. "Selected papers from the 2015 Workshop on Non-market Valuation (WONV) in Nancy," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(3), pages 145-148, December.
    2. Tardieu, Léa & Tuffery, Laëtitia, 2019. "From supply to demand factors: What are the determinants of attractiveness for outdoor recreation?," Ecological Economics, Elsevier, vol. 161(C), pages 163-175.
    3. Xueting Zeng & Liang Cui & Qian Tan & Zhong Li & Guohe Huang, 2018. "A Sustainable Land Utilization Pattern for Confirming Integrity of Economic and Ecological Objectives under Uncertainties," Sustainability, MDPI, vol. 10(5), pages 1-18, April.
    4. James I. Price & Steven Renzetti & Diane Dupont & Wiktor Adamowicz & Monica B. Emelko, 2017. "Production Costs, Inefficiency, and Source Water Quality: A Stochastic Cost Frontier Analysis of Canadian Water Utilities," Land Economics, University of Wisconsin Press, vol. 93(1), pages 1-11.
    5. Stefano Pagiola & Gunars Platais & Marcos Sossai, 2019. "Protecting Natural Water Infrastructure in Espírito Santo, Brazil," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-24, October.
    6. Bösch, Matthias & Elsasser, Peter & Franz, Kristin & Lorenz, Martin & Moning, Christoph & Olschewski, Roland & Rödl, Anne & Schneider, Heike & Schröppel, Bettina & Weller, Priska, 2018. "Forest ecosystem services in rural areas of Germany: Insights from the national TEEB study," Ecosystem Services, Elsevier, vol. 31(PA), pages 77-83.
    7. Ovando, Paola & Brouwer, Roy, 2019. "A review of economic approaches modeling the complex interactions between forest management and watershed services," Forest Policy and Economics, Elsevier, vol. 100(C), pages 164-176.
    8. Pan, Zehua & Brouwer, Roy & Emelko, Monica B., 2022. "Correlating forested green infrastructure to water rates and adverse water quality incidents: A spatial instrumental variable regression model," Forest Policy and Economics, Elsevier, vol. 140(C).
    9. Duncan Knowler & Ashley Page & Andrew Cooper & H. Andres Araujo, 2017. "Valuing a Logging Externality: Loss of the Water Purification Service of Temperate Coastal Rainforests," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-29, April.
    10. Liu, Zhaoyang & Huang, Heqing, 2022. "Valuing water purification services of forests: a production function approach using panel data from China's Sichuan province," Environment and Development Economics, Cambridge University Press, vol. 27(6), pages 491-510, December.
    11. Sholpan Saimova & Gulsim Makenova & Aizhan Skakova & Aitolkyn Moldagaliyeva & Ardak Beisembinova & Zhamilya Berdiyarova & Bagdagul Imanbekova, 2020. "Towards a Low-carbon Economic Sustainable Development: Scenarios and Policies for Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 638-646.
    12. Travis Warziniack & Chi Ho Sham & Robert Morgan & Yasha Feferholtz, 2017. "Effect of Forest Cover on Water Treatment Costs," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-19, October.
    13. Chakravarty, Shourish & Wang, Yangyang & Zhou, Mo, 2021. "Assessing Impacts of Deforestation on Water Quality in Agricultural Landscape in Indiana," 2021 Annual Meeting, August 1-3, Austin, Texas 314014, Agricultural and Applied Economics Association.
    14. Basak Bayramoglu & Raja CHAKIR & Anna LUNGARSKA, 2016. "Land Use and Freshwater Ecosystems in France," EcoMod2016 9420, EcoMod.
    15. Jens Abildtrup & Anne Stenger, 2022. "Report on valuation methods," Working Papers hal-04068881, HAL.
    16. Margaret Walls & Yusuke Kuwayama, 2019. "Evaluating Payments for Watershed Services Programs in the United States," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-38, October.
    17. Price, James I. & Heberling, Matthew T., 2018. "The Effects of Source Water Quality on Drinking Water Treatment Costs: A Review and Synthesis of Empirical Literature," Ecological Economics, Elsevier, vol. 151(C), pages 195-209.
    18. Blachly, Ben & Sims, Charles & Warziniack, Travis, 2024. "Ecosystem complementarities: Evidence from over 700 U.S. watersheds," Ecological Economics, Elsevier, vol. 219(C).
    19. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    20. Richard Yao & David Palmer & Barbara Hock & Duncan Harrison & Tim Payn & Juan Monge, 2019. "Forest Investment Framework as a Support Tool for the Sustainable Management of Planted Forests," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    21. Das, Saudamini & Nepal, Mani & Rai, Rajesh K. & Bhatta, Laxmi D. & Khadayat, Madan S., 2019. "Valuing water provisioning service of Broadleaf and Chir Pine forests in the Himalayan region," Forest Policy and Economics, Elsevier, vol. 105(C), pages 40-51.
    22. Yerema, Coulibaly Thierry & Wakamatsu, Mihoko & Islam, Moinul & Fukai, Hiroki & Managi, Shunsuke & Zhang, Bingqi, 2020. "Differences in Water Policy Efficacy across South African Water Management Areas," Ecological Economics, Elsevier, vol. 175(C).
    23. Westling, Nils & Stromberg, Per M. & Swain, Ranjula Bali, 2020. "Can upstream ecosystems ensure safe drinking water—Insights from Sweden," Ecological Economics, Elsevier, vol. 169(C).
    24. Léa Tardieu & Laetitia Tufféry, 2019. "From supply to demand factors : what are the determinants of attractiveness for outdoor recreation?," Post-Print hal-02883545, HAL.

    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. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    2. Basak Bayramoglu & Raja CHAKIR & Anna LUNGARSKA, 2016. "Land Use and Freshwater Ecosystems in France," EcoMod2016 9420, EcoMod.
    3. Laroche Dupraz, C. & Postolle, A., 2013. "Food sovereignty and agricultural trade policy commitments: How much leeway do West African nations have?," Food Policy, Elsevier, vol. 38(C), pages 115-125.
    4. Carl Gaigné & Julie Le Gallo & Solène Larue & Bertrand Schmitt, 2012. "Does Regulation of Manure Land Application Work Against Agglomeration Economies? Theory and Evidence from the French Hog Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 116-132.
    5. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    6. Miguel Gómez-Antonio & Miriam Hortas-Rico & Linna Li, 2016. "The Causes of Urban Sprawl in Spanish Urban Areas: A Spatial Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(2), pages 219-247, June.
    7. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    8. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
    9. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    10. Quentin Frère & Matthieu Leprince & Sonia Paty, 2014. "The Impact of Intermunicipal Cooperation on Local Public Spending," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1741-1760, June.
    11. Fuess, Roland & Lerbs, Oliver, 2017. "Do Local Governments Tax Homeowner Communities Differently?," Working Papers on Finance 1714, University of St. Gallen, School of Finance.
    12. repec:zbw:inwedp:582015 is not listed on IDEAS
    13. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    14. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    15. Jorge Luis Casanova Ferrando, 2019. "The Airbnb Effect on theRental Market: the Case of Madrid," Studies on the Spanish Economy eee2019-34, FEDEA.
    16. Daniel C. Monchuk & Dermot J. Hayes & John A. Miranowski & Dayton M. Lambert, 2011. "Inference Based On Alternative Bootstrapping Methods In Spatial Models With An Application To County Income Growth In The United States," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 880-896, December.
    17. Feichtinger, Paul & Salhofer, Klaus, 2013. "A Spatial Analysis of Agricultural Land Prices in Bavaria," Working papers 160741, Factor Markets, Centre for European Policy Studies.
    18. Fertő, Imre & Csonka, Arnold, 2017. "Válság- és agglomerációs hatások a magyarországi sertéstartásban [Crisis and agglomeration in Hungary s pig production]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 105-122.
    19. Patrick S. Ward & Raymond J. G. M. Florax & Alfonso Flores-Lagunes, 2014. "Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(2), pages 199-226.
    20. Atreya, Ajita & Susana, Ferreira, 2012. "Analysis of Spatial Variation in Flood Risk Perception," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119738, Southern Agricultural Economics Association.
    21. Roberts, Mark & Deichmann, Uwe & Fingleton, Bernard & Shi, Tuo, 2012. "Evaluating China's road to prosperity: A new economic geography approach," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 580-594.

    More about this item

    Keywords

    Demand and Price Analysis; Land Economics/Use; Resource /Energy Economics and Policy;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

    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:ags:eaae11:120385. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.