IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/198401010800009157.html
   My bibliography  Save this paper

Obtaining the optimal fuel conserving investment mix: a linear programming-hedonic technique approach

Author

Listed:
  • Dinan, Terry Marie

Abstract

The objectives of this study were to: (1) determine how energy efficiency affects the resale value of homes; (2) use this information concerning the "implicit price" of energy efficiency to estimate the resale value of fuel saving investments; and (3) incorporate these resale values into the investment decision process and determine the efficient investment mix for a household which plans to own a given home for three alternative time periods;Two models were used to accomplish these objectives. A hedonic price model was used to determine the impact of energy efficiency on housing prices. The hedonic technique is a method used to attach implicit prices to characteristics which are not themselves bought and sold in markets, but are components of market goods. The hedonic model constructed in this study provided an estimate of the implicit price which is paid for an increase in energy efficiency in homes on the Des Moines housing market. Given this implicit price, and the efficiency of fuel saving investments (such as insulation, passive solar applications, and high energy efficiency furnaces), the resale values of fuel saving investments were estimated;In order to determine how the length of time the home is to be owned affects the "optimal" investment mix, a linear programming model was used to determine the cost minimizing investment mix for a baseline house under the assumption that it would be owned for 6, 20, and 50 years, alternatively. The resale values which were estimated based on the implicit price of energy efficiency were used in obtaining the 6 and 20 year solutions;The results of the hedonic technique revealed that a premium is paid for energy efficient homes in Des Moines. The implicit price of energy efficiency indicates that, on average, a 1 decrease in annual fuel expenditures (due to an increase in efficiency) increases the expected selling price of the house by 11.63;The results of the linear programming model reveal that the optimal fuel saving investment mix for a home is sensitive to the time which the home is to be owned. Solutions which are based on the resale value of fuel saving investments exhibit an underinvestment in conservation relative to the long-run cost minimization solution. Further information is required, however, before it can be determined whether or not the housing market is pricing fuel saving investments efficiently.

Suggested Citation

  • Dinan, Terry Marie, 1984. "Obtaining the optimal fuel conserving investment mix: a linear programming-hedonic technique approach," ISU General Staff Papers 198401010800009157, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:198401010800009157
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/3c0fe493-c40d-496c-9265-e0ca33aa9aa8/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:scandj:v:81:y:1979:i:2:p:154-73 is not listed on IDEAS
    2. Goodman, Allen C., 1978. "Hedonic prices, price indices and housing markets," Journal of Urban Economics, Elsevier, vol. 5(4), pages 471-484, October.
    3. Richard V. Butler, 1982. "The Specification of Hedonic Indexes for Urban Housing," Land Economics, University of Wisconsin Press, vol. 58(1), pages 96-108.
    4. Michael J. Ball, 1973. "Recent Empirical Work on the Determinants of Relative House Prices," Urban Studies, Urban Studies Journal Limited, vol. 10(2), pages 213-233, June.
    5. Blomquist, Glenn & Worley, Lawrence, 1981. "Hedonic prices, demands for urban housing amenities, and benefit estimates," Journal of Urban Economics, Elsevier, vol. 9(2), pages 212-221, March.
    6. Dale-Johnson, David, 1982. "An alternative approach to housing market segmentation using hedonic price data," Journal of Urban Economics, Elsevier, vol. 11(3), pages 311-332, May.
    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. 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.
    2. Chris Leishman & Greg Costello & Steven Rowley & Craig Watkins, 2013. "The Predictive Performance of Multilevel Models of Housing Sub-markets: A Comparative Analysis," Urban Studies, Urban Studies Journal Limited, vol. 50(6), pages 1201-1220, May.
    3. 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.
    4. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
    5. Xiandeng Jiang & Zheng Pan & Ningru Zhao, 2023. "Relative Value vs Absolute Value: Housing Wealth and Labor Supply," The Journal of Real Estate Finance and Economics, Springer, vol. 66(1), pages 41-76, January.
    6. Craig A Watkins, 2001. "The Definition and Identification of Housing Submarkets," Environment and Planning A, , vol. 33(12), pages 2235-2253, December.
    7. Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
    8. Ben C. Arimah, 1992. "Hedonic Prices and the Demand for Housing Attributes in a Third World City: The Case of Ibadan, Nigeria," Urban Studies, Urban Studies Journal Limited, vol. 29(5), pages 639-651, June.
    9. Stephen Malpezzi, "undated". "Hedonic Pricing Models: A Selective and Applied Review," Wisconsin-Madison CULER working papers 02-05, University of Wisconsin Center for Urban Land Economic Research.
    10. Maria Rosa Trovato & Claudia Clienti & Salvatore Giuffrida, 2020. "People and the City: Urban Fragility and the Real Estate-Scape in a Neighborhood of Catania, Italy," Sustainability, MDPI, vol. 12(13), pages 1-37, July.
    11. Filali, Radhouane, 2008. "Variabilité spatiale des prix hédoniques des caractéristiques du logement: une nouvelle méthode de calcul des indices de prix spatiaux [Spatial variability of housing attribute marginal prices: est," MPRA Paper 14227, University Library of Munich, Germany.
    12. repec:zbw:cawmdp:64 is not listed on IDEAS
    13. Hafiz A. Pasha & Mohammad S. Butt, 1996. "Demand for Housing Attributes in Developing Countries: A Study of Pakistan," Urban Studies, Urban Studies Journal Limited, vol. 33(7), pages 1141-1154, August.
    14. Xiaolu Gao & Yasushi Asami, 2001. "The External Effects of Local Attributes on Living Environment in Detached Residential Blocks in Tokyo," Urban Studies, Urban Studies Journal Limited, vol. 38(3), pages 487-505, March.
    15. Mark J Holmes & Jesús Otero & Theodore Panagiotidis, 2018. "Climbing the property ladder: An analysis of market integration in London property prices," Urban Studies, Urban Studies Journal Limited, vol. 55(12), pages 2660-2681, September.
    16. Damian Przekop, 2022. "Artificial Neural Networks vs Spatial Regression Approach in Property Valuation," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(2), pages 199-223, June.
    17. G. Stacy Sirmans & C.F. Sirmans & John D. Benjamin, 1989. "Determining Apartment Rent: The Value of Amenities, Services, and External Factors," Journal of Real Estate Research, American Real Estate Society, vol. 4(2), pages 33-44.
    18. PHOLO BALA, Alain & PEETERS, Dominique & THOMAS, Isabelle, 2014. "Spatial issues on a hedonic estimation of rents in Brussels," LIDAM Reprints CORE 2629, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Mariya Letdin & Hyoung S. Shim, 2019. "Location choice, life cycle and amenities," Journal of Regional Science, Wiley Blackwell, vol. 59(3), pages 567-585, June.
    20. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.
    21. Okunev, John & Wilson, Patrick & Zurbruegg, Ralf, 2000. "The Causal Relationship between Real Estate and Stock Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 21(3), pages 251-261, November.

    More about this item

    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:isu:genstf:198401010800009157. 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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.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.