- 期刊
影響廠商協助推廣木質構造建築物因子之分析
Attributing Factors for Manufacturers' Willingness to Promote the Building of Wooden Structures
摘要
近年來，各國為求永續發展，而倡導「綠建築」，但最符合「綠建築」的「木質構造建築」在國內推展，並不容易。本研究之目的希望能瞭解木質構造建築物廠商及木屋業者之特質，推廣木質構造建築物之興建，提高國內木質構造建築物市場佔有率。研究方法是針對木質構造建築物廠商及木屋業者對木質構造建築物之看法、協助推廣意願及協助推廣考量因子，作次數分析、相關分析及迴歸分析等統計分析。研究結果發現，木質構造建築物廠商及木屋業者對木質構造建築物多採正面看法。木質構造建築物廠商及木屋業者是否願意協助推廣木質構造建築物，與「減免房屋稅及土地增值稅誘因」（相關係數分別為0.6492及0.7301），「政府提供優惠利率貸款」（相關係數分別為0.5714及0.5039），「保險公司是否願意承保火災保險」（相關係數分別為0.9170及0.8278），及「由專責機構協助辦理貸款」（相關係數分別為0.9485及0.9434）等因子達顯著相關。本研究依據迴歸分析結果，分別提出木質構造建築物廠商及木屋業者協助推廣木質構造建築物模式，其模式之F值分別為1065.63及149.56，均已達顯著水準，判定係數（adj r^2）分別為0.814及0.906，該二種迴歸模型對於木質構造建築物廠商及木屋業者協助推廣木質構造建築物的解釋度均超過80%以上。
並列摘要
Recently, many countries have been working hard to promote the concept of ＂green building＂ for sustainable development. However, the concept regarding the construction of wooden structures is not easy to promote. The purpose of this study was to realize the varying opinions of wooden product manufacturers. We hope that this will be helpful to promote wooden structure building, and increase the market value of wooden structures. The method used was to analyze manufacturers' and managers' opinions regarding wooden structures, willingness to promote wooden structures with frequency analysis, correlation analysis and regression analysis. The conclusions were summarized as follows: Manufacturers' and managers' opinions regarding wooden structure s were positive. There was significant relationship between willingness in promoting the building of wooden structures and ＂reducing tax policy (the correlation coefficients r were 0.6492 and 0.7301)＂, ＂lower interest policy (the correlation coefficients r were 0.5714 and 0.5039)＂, ＂the policy of the fire insurance companies (the correlation coefficients r were 0.9170 and 0.8278)＂ and ＂'the credit financing policy of professional organizations (the correlation coefficients r were 0.9485 and 0.9434)＂. Based on the results of regression analysis, we obtained two models of willingness in promoting the building of wooden structures for manufacturers and managers, the adj. r of which were 0.814 and 0.906. Collectively, these two models could explain over 80% of the variance.