IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2012_003.html
   My bibliography  Save this paper

The significance of financial barriers caused by holding costs in greenfield residential development

Author

Listed:
  • Gary Owen Garner

Abstract

Developer infrastructure contributions are regularly cited as the most significant contributor of planning or development costs. However, other non-financial barriers are also emerging as significant impactors. This includes inconsistent planning requirements, development assessment procedures, and conflicts between developers and local councils. Such findings have underpinned a diverse range of planning reforms currently underway in various regions throughout Australia, many of which are specifically designed to target these ìnon-financialî barriers. Examples include systematic enhancements intended to provide greater standardisation, and reduced administrative requirements, system complexity and timeliness. However, aside from the advent of new infrastructure charging regimes that address cost barriers, it is apparent that these reforms actually address another invasive impact relating to holding costs - rather than the infrastructure charging regime itself. It is indisputable that developer infrastructure costs strongly impact housing costs and therefore affordability: and, compared to holding costs, they are much more visible and easily quantified. In contrast, holding costs may seem less tangible as they typically stem from issues revolving around uncertainty, timeliness and inconsistency. Nonetheless, it can be established that they represent a potentially formidable financial barrier. In determining the impact of holding costs, this paper presents a number of operating scenarios and in the process identifies the financial benefits arising from planning reform and intervention. Whilst in many cases it may be true that development contributions expended towards infrastructure represent the largest planning related cost, their existence also impacts part of the holding cost equation which together with its other elements may be demonstrated to rival apparently more pervasive, obvious costs involved in property development.

Suggested Citation

  • Gary Owen Garner, 2012. "The significance of financial barriers caused by holding costs in greenfield residential development," ERES eres2012_003, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2012_003
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2012-003
    Download Restriction: no

    File URL: https://eres.architexturez.net/system/files/pdf/eres2012_003.content.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven C. Bourassa, 1992. "Economic Effects of Taxes on Land:," American Journal of Economics and Sociology, Wiley Blackwell, vol. 51(1), pages 109-113, January.
    2. Brooks,Chris & Tsolacos,Sotiris, 2010. "Real Estate Modelling and Forecasting," Cambridge Books, Cambridge University Press, number 9780521873390, October.
    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. Coskun Yener & Jadevicius Arvydas, 2017. "Is there a Housing Bubble in Turkey?," Real Estate Management and Valuation, Sciendo, vol. 25(1), pages 48-73, March.
    2. Inna S. Lola & Anton Manukov & Murat Bakeev, 2020. "Stress Testing As A Tool For Monitoring And Modelling The Dynamics Of Business Activity Of Manufacturing Enterprises In Russia In The Face Of Market Shocks: Short-Term Scenarios Of Industry Tendencies," HSE Working papers WP BRP 108/STI/2020, National Research University Higher School of Economics.
    3. Troug, Haytem & Murray, Matt, 2015. "The Effects of Asymmetric Shocks in Oil Prices on the Performance of the Libyan Economy," MPRA Paper 68705, University Library of Munich, Germany.
    4. Ramiro J. Rodriguez & Simon Sosvilla-Rivero, 2017. "Office Market Dynamics in Madrid: Modelling with a Single-Equation Error Correction Mechanism," International Real Estate Review, Global Social Science Institute, vol. 20(4), pages 451-491.
    5. Steven C. Bourassa, 1993. "The Rent Gap Debunked," Urban Studies, Urban Studies Journal Limited, vol. 30(10), pages 1731-1744, December.
    6. Farzanegan, Mohammad Reza, 2011. "Oil revenue shocks and government spending behavior in Iran," Energy Economics, Elsevier, vol. 33(6), pages 1055-1069.
    7. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    8. Fragoso Januário, João & Costa, Álvaro & Oliveira Cruz, Carlos & Miranda Sarmento, Joaquim & Faria e Sousa, Vítor, 2021. "Transport infrastructure, accessibility, and spillover effects: An empirical analysis of the Portuguese real estate market from 2000 to 2018," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Philipp Bejol & Nicola Livingstone, 2018. "Revisiting currency swaps: hedging real estate investments in global city markets," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 36(2), pages 191-209, March.
    10. Joseph Obaje Ataguba & Celestine Udoka Ugonabo, 2023. "Framework for measuring the efficiency and efficacy of sale of distressed mortgaged properties using imports of statistical tests deployed in clinical studies," SN Business & Economics, Springer, vol. 3(8), pages 1-32, August.
    11. Erik Louw, 2011. "Surveys and forecasting industrial property demand," ERES eres2011_217, European Real Estate Society (ERES).
    12. Maral Taşcılar & Kerem Yavuz Arslanlı, 2022. "Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1111-1132, October.
    13. Joseph DeSalvo, 2017. "Teaching the DiPasquale-Wheaton Model," Working Papers 0117, University of South Florida, Department of Economics.
    14. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).
    15. Robert Andrew Peters, 2006. "Lessons for Economic Reform Based on Pennsylvania’s Experiences with the Two‐Tiered Property Tax," American Journal of Economics and Sociology, Wiley Blackwell, vol. 65(3), pages 701-731, July.

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2012_003. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.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.