IDEAS home Printed from https://ideas.repec.org/p/ags/saea12/119804.html
   My bibliography  Save this paper

The Impact of Natural Amenity on Farmland Values: A Quantile Regression Approach

Author

Listed:
  • Uematsu, Hiroki
  • Mishra, Ashok K.

Abstract

The objective of this study is to estimate the impact of natural amenity on farmland values in the contiguous United States using a quantile regression approach and data from the 2006, 2007, and 2008 Agricultural Resource Management Surveys. The contribution of this study is three-fold. First, we explicitly include variables representing natural amenity and soil characteristics of farmland. Second, we employ a quantile regression approach to examine potentially heterogeneous impacts of natural amenity and soil characteristics at different quantiles of farmland values. Third, we utilized data from a nationwide survey of farm household to examine findings in studies using regional data are consistent at a national scale. Our quantile regression analysis offers some insightful results. Natural amenity is positively correlated with farmland values and its impact is often more pronounced at a higher price range of farmland.

Suggested Citation

  • Uematsu, Hiroki & Mishra, Ashok K., 2012. "The Impact of Natural Amenity on Farmland Values: A Quantile Regression Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119804, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea12:119804
    DOI: 10.22004/ag.econ.119804
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/119804/files/2012%20SAEA%20Land%20Paper.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.119804?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. Vincent E. Breneman & Richard F. Nehring, 2006. "Urban Sprawl and Farmland Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 915-929.
    2. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
    3. Martin D. Heintzelman, 2010. "Measuring the Property-Value Effects of Local Land Use and Preservation Referenda," Land Economics, University of Wisconsin Press, vol. 86(1), pages 22-47.
    4. Ian W. Hardie & Tulika A. Narayan & Bruce L. Gardner, 2001. "The Joint Influence of Agricultural and Nonfarm Factors on Real Estate Values: An Application to the Mid-Atlantic Region," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 120-132.
    5. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    6. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    7. Huffman, Wallace E., 2001. "Human capital: Education and agriculture," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 7, pages 333-381, Elsevier.
    8. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Tests of Linear Hypotheses and l[subscript]1 Estimation," Econometrica, Econometric Society, vol. 50(6), pages 1577-1583, November.
    9. Gloy, Brent A. & Boehlje, Michael & Dobbins, Craig L. & Hurt, Christopher & Baker, Timothy G., 2011. "Are Economic Fundamentals Driving Farmland Values?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 26(2), pages 1-6.
    10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    11. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    12. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    13. McGranahan, David A., 1999. "Natural Amenities Drive Rural Population Change," Agricultural Economic Reports 33955, United States Department of Agriculture, Economic Research Service.
    14. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    15. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    16. William Gould, 1993. "Quantile regression with bootstrapped standard errors," Stata Technical Bulletin, StataCorp LP, vol. 2(9).
    17. Yue Jin Shi & Timothy T. Phipps & Dale Colyer, 1997. "Agricultural Land Values under Urbanizing Influences," Land Economics, University of Wisconsin Press, vol. 73(1), pages 90-100.
    18. Andrew J. Plantinga & Douglas J. Miller, 2001. "Agricultural Land Values and the Value of Rights to Future Land Development," Land Economics, University of Wisconsin Press, vol. 77(1), pages 56-67.
    19. Abdulai, Awudu & Huffman, Wallace, 2007. "The Diffusion of New Agricultural Technologies: The Case of Crossbreeding Technology in Tanzania," Staff General Research Papers Archive 12785, Iowa State University, Department of Economics.
    20. Richard C. Ready & Charles W. Abdalla, 2005. "The Amenity and Disamenity Impacts of Agriculture: Estimates from a Hedonic Pricing Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 314-326.
    21. Philip Kostov, 2009. "A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 53-72.
    22. Pam Guiling & B. Wade Brorsen & Damona Doye, 2009. "Effect of Urban Proximity on Agricultural Land Values," Land Economics, University of Wisconsin Press, vol. 85(2), pages 252-264.
    23. Capozza, Dennis R. & Helsley, Robert W., 1989. "The fundamentals of land prices and urban growth," Journal of Urban Economics, Elsevier, vol. 26(3), pages 295-306, November.
    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. Wendong Zhang & Cynthia J. Nickerson, 2015. "Housing Market Bust and Farmland Values: Identifying the Changing Influence of Proximity to Urban Centers," Land Economics, University of Wisconsin Press, vol. 91(4), pages 605-626.
    2. Foster, W., 2018. "Stability of the Ricardian land value model: Chile during rapid economic growth," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277125, International Association of Agricultural Economists.
    3. Bohman, Helena & Nilsson, Désirée, 2016. "The impact of regional commuter trains on property values: Price segments and income," Journal of Transport Geography, Elsevier, vol. 56(C), pages 102-109.
    4. Pei-Ing Wu & Yi Chen & Je-Liang Liou, 2021. "Housing property along riverbanks in Taipei, Taiwan: a spatial quantile modelling of landscape benefits and flooding losses," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2404-2438, February.
    5. repec:zbw:inwedp:582015 is not listed on IDEAS
    6. Çağlayan Ebru & Arikan Eban, 2011. "Determinants of house prices in Istanbul: a quantile regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 305-317, February.
    7. Nana Cui & Hengyu Gu & Tiyan Shen & Changchun Feng, 2018. "The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison," Sustainability, MDPI, vol. 10(12), pages 1-23, November.
    8. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    9. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    10. Pedro Pires & João Pedro Pereira & Luís Filipe Martins, 2015. "The Empirical Determinants of Credit Default Swap Spreads: a Quantile Regression Approach," European Financial Management, European Financial Management Association, vol. 21(3), pages 556-589, June.
    11. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Francois des Rosiers, 2017. "Market heterogeneity and the determinants of Paris apartment prices: A quantile regression approach," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3260-3280, November.
    12. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    13. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    14. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    15. Fattouh, Bassam & Scaramozzino, Pasquale & Harris, Laurence, 2005. "Capital structure in South Korea: a quantile regression approach," Journal of Development Economics, Elsevier, vol. 76(1), pages 231-250, February.
    16. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    17. Villar, Jaume García & Raya, Josep Maria, 2015. "Use of a Gini index to examine housing price heterogeneity: A quantile approach," Journal of Housing Economics, Elsevier, vol. 29(C), pages 59-71.
    18. Ay, Jean-Sauveur & Latruffe, Laure, 2013. "The Empirical Content of the Present Value Model: A survey of the instrumental uses of farmland prices," Working papers 157112, Factor Markets, Centre for European Policy Studies.
    19. Joachim Wagner, 2014. "Exports, foreign direct investments and productivity: are services firms different?," The Service Industries Journal, Taylor & Francis Journals, vol. 34(1), pages 24-37, January.
    20. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    21. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.

    More about this item

    Keywords

    Environmental Economics and Policy; Land Economics/Use;

    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:saea12:119804. 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/saeaaea.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.