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

Tony ShunTe Yuo, Tai-Hsi Wu and Yu-An Yang

ERES from European Real Estate Society (ERES)

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.

Keywords: ESG in Real Estate; Human and Environment coupled; Social-Ecological System; Sustainable Development (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2024-01-01
New Economics Papers: this item is included in nep-eff, nep-env, nep-hme and nep-ure
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