| Summary: | 碩士 === 國立中正大學 === 企業管理研究所 === 102 === Taiwan has promoted the green building labeling and candidate green building certificate system since 1999. However, the residential buildings received labels and candidate certificates of green building are only 1.09% and 3.59% of the total cumulative incremental building amount, respectively. Besides, the residential buildings received labels with smart building and candidate smart building certificate are only dozens of cases. Therefore, it is believed that the intelligent green buildings are full of potentials for future development. The consumers, developers, and producers can also obtain economic benefits as well as environmental protection can be realized.
This study tried to establish a cognitive-affective-conative model of consumers, developers and producers in intelligent green building for residential building. According to method of sustainable development, green consumer, value engineering, industry transformation, economic externality, we comprehended quantitative analysis and research on consumer and developers and producers. We tried to understand consumption, development, and production of intelligent green building preference and price range of choices. The methodologies adopted in this study include descriptive statistical analysis, factor analysis, reliability analysis, Pearson's chi-squared test, correlation analysis, and hypothesis testing on effective questionnaire sample data. The statistical analyses are conducted using SPSS 18.0. Hopefully, the study results could provide some useful information for the industrial development program and the related research.
This study issued 228 questionnaires, of which 223 were valid. The analytical results based on the valid questionnaires conducted on consumer, developer and producer of intelligent green building for residential building are summarized as follows:
(1) The cognitive-affective-conative model for consumer's intelligent green building is significant. The consumers are willing to pay additional 10.7% of price for intelligent green building. Besides, the consumers are also willing to pay 9.98% extra money for remodelling the RC-residential building into intelligent green building.
(2) The cognitive-affective-conative model for developer's intelligent green building is partially significant. For intelligent green building, the developers accept the increases in product price, product budget, and expected economic benefits by 9.26%, 7.78%, and 10.2%, respectively.
(3) The cognitive-affective-conative model for producer's intelligent green building is partially significant. For intelligent green building, the producers accept the increases in product price, product budget, and expected economic benefits by 8.51%, 7.38%, and 10.47%, respectively.
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