Artikel

An analysis on behaviors of real estate developers and government in sustainable building decision making

Purpose: The Chinese government takes measures to promote the development of green building (GB). But until 2013, there are only few green buildings in China. The real estate developers are skeptical in entering GB market, which requires theories to explain developers and government's behaviors. Design/methodology/approach: In this study, we attempt Evolutionary game theory and System dynamics (SD) into the analysis. A system dynamics model is built for studying evolutionary games between the government and developers in greening building decision making. Findings and Originality/value: The results of mixed-strategy stability analysis and SD simulation show that evolutionary equilibrium does not exist with a static government incentive. Therefore, a dynamical incentive is suggested in the SD model for promoting the green building market. The symmetric game and asymmetric game between two developers show, if the primary proportion who choose GB strategy is lower, all the group in game may finally evolve to GB strategy. In this case and in this time, the government should take measures to encourage developers to enter into the GB market. If the proportion who choose GB strategy is high enough, the government should gradually cancel or reduce those incentive measure. Research limitations/implications: an Evolution Analysis and System Dynamics Simulation on Behaviors of Real Estate Developers and Government could give some advice for the government to promote the green building market.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 7 ; Year: 2014 ; Issue: 2 ; Pages: 491-505 ; Barcelona: OmniaScience

Klassifikation
Management
Thema
green building
evolutionary game
system dynamics
real estate market

Ereignis
Geistige Schöpfung
(wer)
Xie, Xiuli
Liu, Yisheng
Hou, Jing
Ereignis
Veröffentlichung
(wer)
OmniaScience
(wo)
Barcelona
(wann)
2014

DOI
doi:10.3926/jiem.1042
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Xie, Xiuli
  • Liu, Yisheng
  • Hou, Jing
  • OmniaScience

Entstanden

  • 2014

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