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Hidden Vacancy Rate as a Part of Office Market Dynamics in Selected Polish Cities

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  • Nowak Krzysztof

    (Faculty of Economics, University of Rzeszów)

Abstract

The hidden vacancy rate reflects the adjustments of the market vacancy rate that may occur in the future, in the event of a change in market conditions. Its occurrence results from the fact that the current level of rented office space reflects the demand based on past levels of rent and past predictions of changes in the tenants’ demand for space during the term of the lease. Thus, the level of total, occupied office space at given moment does not result from demand based on the current market rent. This is the result of the duration of lease agreements concluded for more than one period. The hidden vacancy rate is also related to the costs of searching for office space that meets the specific criteria of tenants, removal costs and office space adaptation costs. The hidden vacancy rate cannot be observed in the market, but can be determined based on available market data.The article presents the concept of a hidden vacancy rate. Next, the presented theory was used to determine the dynamics of the hidden vacancy rate in a narrow and broad approach in the market of modern office space in Warsaw, Krakow, Wroclaw and Poznan. The obtained results were compared to two mature office space markets in Western Europe. The study shows differences in the formation of the hidden vacancy rate on the market characterized by a relatively large total stock of available office space in relation to markets being at an earlier stage of development.

Suggested Citation

  • Nowak Krzysztof, 2020. "Hidden Vacancy Rate as a Part of Office Market Dynamics in Selected Polish Cities," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 1-12, March.
    • Handle: RePEc:vrs:remava:v:28:y:2020:i:1:p:1-12:n:1
    DOI: 10.2478/remav-2020-0001
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    References listed on IDEAS

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    1. Fotis Mouzakis & David Richards, 2007. "Panel Data Modelling of Prime Office Rents: A Study of 12 Major European Markets," Journal of Property Research, Taylor & Francis Journals, vol. 24(1), pages 31-53, February.
    2. Catherine Bruneau & Cherfouh Souad, 2015. "Long-run equilibrium for the Greater Paris office market and short-run adjustments," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01451151, HAL.
    3. Catherine Bruneau & Cherfouh Souad, 2015. "Long-run equilibrium for the Greater Paris office market and short-run adjustments," Post-Print hal-01451151, HAL.
    4. Zeno Adams & Roland Füss, 2012. "Disentangling the Short and Long-Run Effects of Occupied Stock in the Rental Adjustment Process," The Journal of Real Estate Finance and Economics, Springer, vol. 44(4), pages 570-590, May.
    5. Anthony J. De Francesco, 2008. "Time‐Series Characteristics and Long‐Run Equilibrium for Major Australian Office Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(2), pages 371-402, June.
    6. Catherine Bruneau & Souad Cherfouh, 2015. "Long-run equilibrium for the Greater Paris office market and short-run adjustments," Journal of Property Research, Taylor & Francis Journals, vol. 32(4), pages 301-323, December.
    7. Petros S. Sivitanides, 1997. "The Rent Adjustment Process and the Structural Vacancy Rate in the Commercial Real Estate Market," Journal of Real Estate Research, American Real Estate Society, vol. 13(2), pages 195-210.
    8. Peter Englund & Åke Gunnelin & Patric H. Hendershott & Bo Söderberg, 2008. "Adjustment in Property Space Markets: Taking Long‐Term Leases and Transaction Costs Seriously," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(1), pages 81-109, March.
    9. Dirk Brounen & Maarten Jennen, 2009. "Asymmetric Properties of Office Rent Adjustment," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 336-358, October.
    10. Hendershott, Patric & MacGregor, Bryan & White, Michael, 2002. "Explaining Real Commercial Rents Using an Error Correction Model with Panel Data," The Journal of Real Estate Finance and Economics, Springer, vol. 24(1-2), pages 59-87, Jan.-Marc.
    11. John McCartney, 2012. "Short and long-run rent adjustment in the Dublin office market," Journal of Property Research, Taylor & Francis Journals, vol. 29(3), pages 201-226, April.
    12. Patric H. Hendershott & Colin M. Lizieri & George A. Matysiak, 1999. "The Workings of the London Office Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 365-387, June.
    13. Patric Hendershott & Colin Lizieri & Bryan MacGregor, 2010. "Asymmetric Adjustment in the City of London Office Market," The Journal of Real Estate Finance and Economics, Springer, vol. 41(1), pages 80-101, July.
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    More about this item

    Keywords

    office space market; hidden vacancy rate; vacancy rate and rent;
    All these keywords.

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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