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

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 increment...

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Main Authors: CHING-KUEI TSAI, 蔡進逵
Other Authors: MING-TE CHEN
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/48796740362171668185
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spelling ndltd-TW-102CCU001210442015-10-13T23:28:14Z http://ndltd.ncl.edu.tw/handle/48796740362171668185 Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building 住宅類智慧綠建築開發、生產、消費決策之研究 CHING-KUEI TSAI 蔡進逵 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. MING-TE CHEN 陳明德 2014 學位論文 ; thesis 218 zh-TW
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description 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.
author2 MING-TE CHEN
author_facet MING-TE CHEN
CHING-KUEI TSAI
蔡進逵
author CHING-KUEI TSAI
蔡進逵
spellingShingle CHING-KUEI TSAI
蔡進逵
Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
author_sort CHING-KUEI TSAI
title Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
title_short Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
title_full Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
title_fullStr Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
title_full_unstemmed Research on Development,Production,Consumption Decisions in Intelligent Green Building for Residential Building
title_sort research on development,production,consumption decisions in intelligent green building for residential building
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/48796740362171668185
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