IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2024-074.html
   My bibliography  Save this paper

Performance Evaluation of Social and Ecological Environmental Diversity Characteristics on the Real Estate Market: A Dynamic Network Data Envelopment Analysis

Author

Listed:
  • Tony ShunTe Yuo
  • Tai-Hsi Wu
  • Yu-An Yang

Abstract

The analytical model of the social-ecological system structure is designed to explore spatial environmental performance from a holistic, complex, dynamic, network-oriented, and nonlinear perspective. In this research, we employ the Social-Ecological System (SES) framework proposed by Ostrom (2009) and McGinnis and Ostrom (2014) to construct a model capturing the characteristics of Taiwan's real estate market in relation to social and ecological spatial diversity. Utilizing Dynamic Network Data Envelopment Analysis (DNDEA), we conduct performance measurements for the SES model. This framework encompasses various real estate market features, including resource systems, ecological and environmental indicators, government governance, and characteristics of real estate market sectors. The study observes dynamic interactions over multiple years. By incorporating assessments of indicators such as social, industrial, energy, ecological, pollution, and healthcare, central and local governments can optimize relevant policies based on comprehensive social and ecological characteristics in addressing the real estate market.This research is funded by the Ministry of Science and Technology: 111-2410-H-305 -055 -MY2McGinnis, M. D., & Ostrom, E. (2014). Social-ecological system framework: initial changes and continuing challenges. Ecology and Society, 19(2).Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939), 419-422.

Suggested Citation

  • Tony ShunTe Yuo & Tai-Hsi Wu & Yu-An Yang, 2024. "Performance Evaluation of Social and Ecological Environmental Diversity Characteristics on the Real Estate Market: A Dynamic Network Data Envelopment Analysis," ERES eres2024-074, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2024-074
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2024-074
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ESG in Real Estate; Human and Environment coupled; Social-Ecological System; Sustainable Development;
    All these keywords.

    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:eres2024-074. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.