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Green Noise or Green Value? Measuring the Price Effects of Environmental Certification in Commercial Buildings

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  • Franz Fuerst

    (Department of Real Estate & Planning, University of Reading Business School)

  • Patrick McAllister

    (Department of Real Estate & Planning, University of Reading)

Abstract

This paper investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and non-certified buildings. First, certified buildings offer a bundle of benefits to occupiers relating to business productivity, image and occupancy costs. Second, due to these occupier benefits, certified buildings can result in higher rents and lower holding costs for investors. Third, certified buildings may require a lower risk premium. Drawing upon the CoStar database of US commercial real estate assets, hedonic regression analysis is used to measure the effect of certification on both rent and price. We first estimate the rental regression for a sample of 110 LEED and 433 Energy Star as well as several thousand benchmark buildings to compare the sample to. The results suggest that, compared to buildings in the same metropolitan region, certified buildings have a rental premium and that the more highly rated that buildings are in terms of their environmental impact, the greater the rental premium. Furthermore, based on a sample of transaction prices for 292 Energy Star and 30 LEED-certified buildings, we find price premia of 10% and 31% respectively compared to non-certified buildings in the same metropolitan area.

Suggested Citation

  • Franz Fuerst & Patrick McAllister, 2008. "Green Noise or Green Value? Measuring the Price Effects of Environmental Certification in Commercial Buildings," Real Estate & Planning Working Papers rep-wp2008-09, Henley Business School, University of Reading.
    • Handle: RePEc:rdg:repxwp:rep-wp2008-09
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    Cited by:

    1. Megat Mohd Ghaza Rahman & Maryanti Mohd Raid & Asmma' Che Kasim & Khadijah Hussin, 2015. "Impact Of Indoor Environmental Quality And Innovation Features On Residential Property Price And Rent In Malaysia: A Review," ERES eres2015_133, European Real Estate Society (ERES).
    2. Michal Gluszak & Remigiusz Gawlik & Malgorzata Zieba, 2019. "Smart and Green Buildings Features in the Decision-Making Hierarchy of Office Space Tenants: An Analytic Hierarchy Process Study," Administrative Sciences, MDPI, vol. 9(3), pages 1-16, July.
    3. Yoshida, Jiro & Sugiura, Ayako, 2010. "Which “Greenness” is Valued? Evidence from Green Condominiums in Tokyo," MPRA Paper 23124, University Library of Munich, Germany, revised 02 Jun 2010.
    4. Deng, Yongheng & Li, Zhiliang & Quigley, John M., 2012. "Economic returns to energy-efficient investments in the housing market: Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 506-515.
    5. Alessia Mangialardo & Ezio Micelli & Federica Saccani, 2018. "Does Sustainability Affect Real Estate Market Values? Empirical Evidence from the Office Buildings Market in Milan (Italy)," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    6. Ankamah-Yeboah, Isaac & Rehdanz, Katrin, 2014. "Explaining the variation in the value of building energy efficiency certificates: A quantitative meta-analysis," Kiel Working Papers 1949, Kiel Institute for the World Economy (IfW Kiel).

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    More about this item

    JEL classification:

    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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