Decision-making Research Of Residential Options Based On The Perspective Of Low Carbon

2009Copenhagen conference, the world is facing energy crisis and climate crisissituation, the Chinese Government to the unit of GDP by2020CO₂emissions below2005levels by40%-45%of the development of strategic objectives. When the"low-carbon economy" in the ascendant on the occasion,"low-carbon housing" conceptcame into being. With a nationwide low-carbon residential ongoing pilot work, Chinahas built a number of low-carbon housing demonstration area. There are numerousdevelopment companies, followed by the introduction of low-carbon technologies,products and ideas, trying to join the ranks of low-carbon property. However, due to thelack of domestic residential assessment or there is no uniform standard, low-carbonproducts showed uneven levels, the state of their own business, need a systematicapproach to scientific guidance for the evaluation of investment project evaluationactivities, rational analysis of investment projects expected risk.Real options theory was born in the1970s, the financial options in the field ofapplication of physical assets. The theory put forward to overcome the traditionaldiscounted cash flow method ignores the value of the investment flexibility ofinvestment opportunities caused by underestimation of the value of the problem, moresuitable investment under uncertainty analysis, is constantly being from academia andthe business community of attention.In this paper, a systematic introduction to the core idea of real options theory, the basicmodel, based on the combined analysis of low-carbon perspective, identify the riskcharacteristics of real estate projects. The introduction of Hedonic pricing method, the use ofSPSS software to be based on semi-logarithmic regression analysis of real estate projects carbonpricing equation, and the use of option pricing formula of Geske complex carbon-basedperspective of the option value of real estate projects carried out empirical research, as projectfinal investment decision provides a detailed analysis model.