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Exploring the relationship between ESG factors and the rental income and property value: A study of cloud based smart locker operators

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  • Wing Sin Lau

Abstract

The paper explores the relationship between ESG factors and the rental income and property value with a zoom in the study of cloud based smart locker operators. The key sustainability attributes researched in the paper cover tenant’s expectations and property value in relationship to ESG factors. Given the increasing popularity of cloud based smart locker operator in partnership with building owner and manager to provide alternatives to last mile logistic delivery to minimize cost and carbon emissions. E-commerce is significantly growing with no sign of slowing down hence cloud-based technology smart locker offered 24/7 contactless pick up and real time parcel status update with the benefit to reduce carbon emissions materially per parcel unit. Sensitivity of rental income and property value to the captioned sustainability factors associated to the Sustainability Development Goals (SDGs) highlighted by high transparent real estate markets in Hong Kong is being studied. The author aims to provide insights in how smart locker operators managed to develop last mile delivery solution for e commerce logistics supported by technology and create win-win with property owner as real estate investors and lenders putting more emphasis of ESG factors in financing decisions.

Suggested Citation

  • Wing Sin Lau, 2022. "Exploring the relationship between ESG factors and the rental income and property value: A study of cloud based smart locker operators," ERES 2022_36, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:2022_36
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    File URL: https://eres.architexturez.net/doc/eres-id-eres2022-36
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    More about this item

    Keywords

    ESG Factors; Property Value; Rental Income; Smart locker operators;
    All these keywords.

    JEL classification:

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

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