scholarly journals Application of PPC Model Based on RAGA in Real Estate Investment Decision-Making

Engineering ◽  
2009 ◽  
Vol 01 (02) ◽  
pp. 106-110 ◽  
Author(s):  
Shujing ZHOU ◽  
Fei WANG ◽  
Yancang LI
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Investment Decision ◽  
Real Estate Investment ◽  
Model Based ◽  
Investment Decision Making

scholarly journals The embeddedness of sustainability in real estate investment decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cath Jackson ◽  
Allison Orr
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Investment Decision ◽  
Qualitative Approach ◽  
Real Estate Investment ◽  
Content Type ◽  
Potential Barriers ◽  
Fund Managers ◽  
Investment Decision Making ◽  
Barriers To Implementation

Purpose The importance of real estate’s sustainability rating has increased significantly. Studies undertaken in 2007 and 2016 show that, at acquisition, the rating rose from 7th to 3rd most important attribute. This shift in priorities parallels the RICS embracing the 10 principles of the UN Global Compact (RICS, 2015). However, while sustainability value premia appear common in some international markets, the picture is mixed and drivers and mechanisms lack empirical investigation. The literature reveals potential barriers to investors fulfilling both sustainability and financial objectives. The purpose of this study is explore these potential barriers. Design/methodology/approach Focus groups with real estate fund managers, sustainability managers and acquisitions surveyors are undertaken to explore the adoption and implementation of environmental sustainability policies. This reveals a series of barriers to implementation and these are then explored in greater depth through a series of interviews with fund managers. This layered, qualitative approach is designed to provide detailed knowledge of practical and conceptual sustainability issues within the UK real estate market. Findings Key drivers underpinning the adoption of sustainability policies are revealed and barriers to implementation are found to relate to data on investment performance, valuation methodologies and prohibitive capex. Further, the heterogeneous, opaque and slow-moving nature of the market is prohibitive and intervention is encouraged to overcome the lack of financial viability that hinders improvements. Originality/value Research is dominated by highly aggregated quantitative data on sustainability within commercial real estate markets. The qualitative approach used here adds new insights and value to the understanding of the embeddedness of sustainability in real estate investment decision-making.

Applied Research of Composite Weights – TOPSIS Method in Real Estate Investment Decision

2013 ◽  
Vol 711 ◽  
pp. 452-457
Author(s):  
Yong Ge Xu ◽  
Yang Fu
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Evaluation Method ◽  
Investment Decision ◽  
Ideal Point ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Multi Objective ◽  
Investment Decision Making

According to the shortage of the method in real estate investment decision, in order to supplement the deficiency of this one.this paper on the basis of comprehensive consideration of Effects of various factors of real estate project decision, this paper constructs the real estate investment decision-making multi-objective planning evaluation model.Into composite weights,determined by weightthrough the subjective evaluation method combined with the objective evaluation method,and by using the ideal point method (TOPSIS) to evaluate the real estate investment decision-making. This kind of method in view of the present real estate investment decision method is the present situation of the lack of certain to give support and complement, because real estate investment decision is a multi-objective process, so the method is introduced in this paper the method will be more close to the actual situation. Finally, combining with an example, this method is feasible and simple and practical, scientific and reasonable.

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