IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/339750.html
   My bibliography  Save this article

Interrelation Of Large-Scale Property Development Project And The Local Real Estate Market. Evidence From Hungary

Author

Listed:
  • Tóth, Csaba

Abstract

The Hungarian real estate market has gone through a widely fluctuating phase in the new millennium, which has not missed periods of surge, crisis-driven gloom and recovery. Amidst these conditions, an international developer engaged in a large-scale, long-timeframe residential property building project (Sasad Liget Residential Complex) in District XI of the Hungarian capital. The article examines the exposures and impacts of the development project to the external factors. The deployed quantitative statistical methods reveal that despite the considerable weight of the project, the in-market performance of SLRC has been the function of the general swings of the sector. Further, although the project generated higher demand than the bulk of other properties in the vicinity, its weight has not been enough to impact the property market of District XI at a statistically significant degree.

Suggested Citation

  • Tóth, Csaba, 2019. "Interrelation Of Large-Scale Property Development Project And The Local Real Estate Market. Evidence From Hungary," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 13(1-2), June.
  • Handle: RePEc:ags:apstra:339750
    DOI: 10.22004/ag.econ.339750
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/339750/files/T%C3%B3th.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.339750?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. Kathy J. Hayes & Lori L. Taylor, 1996. "Neighborhood school characteristics: what signals quality to homebuyers?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q IV, pages 2-9.
    2. Zahirovich-Herbert, Velma & Gibler, Karen M., 2014. "The effect of new residential construction on housing prices," Journal of Housing Economics, Elsevier, vol. 26(C), pages 1-18.
    3. Laura Fernández-Durán & Alicia Llorca & Nancy Ruiz & Soledad Valero & Vicente Botti, 2011. "The impact of location on housing prices: applying the Artificial Neural Network Model as an analytical tool," ERSA conference papers ersa11p1595, European Regional Science Association.
    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. Paramita Dhar & Stephen L. Ross, 2009. "School Quality and Property Values: Re-examining the Boundary Approach," Working papers 2009-37, University of Connecticut, Department of Economics, revised May 2010.
    2. Brasington, D. M., 2003. "The supply of public school quality," Economics of Education Review, Elsevier, vol. 22(4), pages 367-377, August.
    3. Brausewetter, Lars & Thomsen, Stephan L. & Trunzer, Johannes, 2022. "Explaining regional disparities in housing prices across German districts," IWH Discussion Papers 13/2022, Halle Institute for Economic Research (IWH).
    4. Elio H Londero, 2004. "Measuring Benefits, Tracing Distributional Effects, and Affecting Distributional Outcomes," Public Economics 0407011, University Library of Munich, Germany.
    5. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    6. Temple, Judy A., 1998. "Recent Clinton Urban Education Initiatives and the Role of School Quality in Metropolitan Finance," National Tax Journal, National Tax Association, vol. 51(n. 3), pages 517-29, September.
    7. Theodore M. Crone, 2006. "Capitalization of the quality of local public schools: what do home buyers value?," Working Papers 06-15, Federal Reserve Bank of Philadelphia.
    8. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez & Pablo Marti & Juan-Carlos Perez-Sanchez, 2019. "Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression," Sustainability, MDPI, vol. 11(2), pages 1-33, January.
    9. Jin, Zhiyun & Wang, Xingrui & Huang, Bin, 2023. "The enrolment reform of schools and housing price: Empirical evidence from Shanghai, China," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 262-273.
    10. Mats Wilhelmsson, 2019. "Energy Performance Certificates and Its Capitalization in Housing Values in Sweden," Sustainability, MDPI, vol. 11(21), pages 1-16, November.
    11. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.
    12. Wada, Roy & Herbert, Zahirovic-Herbert, 2009. "Distribution of Demand for School Quality: Evidence from Quantile Regression," MPRA Paper 18078, University Library of Munich, Germany.
    13. Temple, Judy A., 1998. "Recent Clinton Urban Education Initiatives and the Role of School Quality in Metropolitan Finance," National Tax Journal, National Tax Association;National Tax Journal, vol. 51(3), pages 517-529, September.
    14. Elio H Londero, 2004. "Poverty Targeting Classifications and Distributional Effects," Public Economics 0407012, University Library of Munich, Germany.
    15. David N. Figlio & Maurice E. Lucas, 2000. "What's in a Grade? School Report Cards and House Prices," NBER Working Papers 8019, National Bureau of Economic Research, Inc.
    16. Yii, Kwang-Jing & Tan, Chai-Thing & Ho, Wing-Ken & Kwan, Xiao-Hui & Nerissa, Feng-Ting Shim & Tan, Yan-Yi & Wong, Kar-Horn, 2022. "Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL)," Land Use Policy, Elsevier, vol. 113(C).
    17. Carozzi, Felipe, 2020. "The role of demand in land re-development," LSE Research Online Documents on Economics 103690, London School of Economics and Political Science, LSE Library.
    18. Rémy Le Boennec & Sterenn Lucas, 2020. "Does a positive density perception increase the probability of living in the ideal housing type? Evidence from the Loire-Atlantique Département in France," Working Papers hal-02441513, HAL.
    19. Henry, Mark & Barkley, David L. & Li, Haizhen, 2003. "Education and Nonmetropolitan Income Growth In the South," Working Papers 187462, Clemson University, Department of Agricultural and Applied Economics.
    20. Jee W. Hwang & Chun Kuang & Okmyung Bin, 2019. "Are all Homeowners Willing to Pay for Better Schools? ─ Evidence from a Finite Mixture Model Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 638-655, May.

    More about this item

    Keywords

    Community/Rural/Urban Development;

    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:apstra:339750. 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: http://www.apstract.net/ .

    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.