Corporate real estate performance: A data-driven analysis

Linda Tay, Kim Liow and Joseph Ooi ()

ERES from European Real Estate Society (ERES)

Abstract: This study utilizes data collected from MNCs and listed firms in Singapore to identify critical factors influencing corporate real estate performance. A data-driven analytical technique is adopted to study the direct and indirect effects of performance factors on corporate real estate. A further benefit of using this technique is that it allows a representation of additional interrelationships between the factors. From the current literature, there are four main categories of factors that affect corporate real estate performance. These are corporate, environment, portfolio and management related factors. The results indicate that only corporate real estate planning and the existence of a real estate unit have a direct impact on corporate real estate performance. This finding is both theoretically expected and important. The results reinforces current literature postulations on the importance of strategic planning as on of the key skills that corporate real estate managers need to be equipped with to meet the challenges ahead.

JEL-codes: R3 (search for similar items in EconPapers)
Date: 2003-06-01
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Persistent link: https://EconPapers.repec.org/RePEc:arz:wpaper:eres2003_270

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