住宅類智慧綠建築開發、生產、消費決策之研究

Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building

蔡進逵(CHING-KUEI TSAI)

指導教授 ： 陳明德

國立中正大學/管理學院/企業管理學系/碩士(2014年)

摘要

統計台灣自1999年推動綠建築標章與候選綠建築證書制度以來，住宅類建築物取得數量僅占全國累計住宅增量的比例分別為1.09%與3.59%，取得智慧建築標章與候選智慧建築證書也只有數十件，因此本研究認為智慧綠建築未來發展空間頗大，在消費者、開發者與生產者關懷地球永續發展同時亦能獲得經濟收益。 本研究探討消費者、開發者與生產者對於智慧綠建築態度之認知、情感與行為，以永續發展、綠色消費者、價值工程、產業轉型、經濟外部性為理論基礎，藉由量化分析研究瞭解消費者、開發者與生產者對於智慧綠建築之消費、開發與生產之行為意願與價格區間選擇。本研究採用 SPSS 18.0 套裝統計軟體為分析工具，依序以描述性統計分析、因素分析、信度分析、卡方檢定、相關分析、假說檢定…等進行歸納研究，並提出建議以供相關單位與業界之參考。 本研究一共發出228份問卷，回收之有效問卷223份，依據問卷有效樣本分析，對住宅類建築物智慧綠建築之消費者、開發者與生產者的研究結果歸納如下： 一、 消費者的智慧綠建築認知-情感-行為態度模型顯著；消費者接受購建智慧綠建築住宅價格增加幅度為10.7%，接受整建RC住宅為智慧綠建築願意支付幅度為9.98%。 二、 開發者的智慧綠建築認知-情感-行為態度模型部分顯著；開發者接受智慧綠建築產品價格增加幅度為 9.26%，接受產品預算價格增加幅度為 7.78%，接受經濟收益預期增加幅度為10.20%。 三、 生產者的智慧綠建築認知-情感-行為態度模型部分顯著；生產者接受智慧綠建築產品價格增加幅度為 8.51%，接受產品預算價格增加幅度為 7.38%，接受經濟收益預期增加幅度為10.47%。

關鍵字

認知-情感-行為態度模型 ； 住宅類建築物 ； 智慧綠建築

並列摘要

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.

並列關鍵字

cognitive-affective-conative model ； residential building ； intelligent green building

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