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首页> 外文期刊>Journal of Facilities Management >The driving factors to rental depreciation of purpose built office (PBO) buildings: A PLS-SEM approach
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The driving factors to rental depreciation of purpose built office (PBO) buildings: A PLS-SEM approach

机译:专用办公室(PBO)建筑物租金折旧的驱动因素:PLS-SEM方法

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Purpose - The rising awareness of the significance of protecting the environment and reducing the carbon footprints of buildings has led to the development of sustainable or green office buildings that are believed to be more energy-efficient and environmentally friendly. Despite this, not many have studied the extent of impacts between green classification and rental depreciation in Malaysia, besides the other traditional causes. Therefore, the primary purpose of this study is to identify the relationship of building characteristics and location factors, namely, green building classifications (BCLs), location and site (LOT), building engineering and services (BES) and building appearance and design (BAD) that contribute to rental depreciation in the Golden Triangle Area of Kuala Lumpur. Design/methodology/approach - A survey using a questionnaire was used in the data collection targeting the selected Kuala Lumpur commercial purpose built office building property managers. To establish the significance and relevance of the model, this study employed the PLS algorithm and bootstrapping procedures. Findings - This research suggests that there were significant impacts of LOT, BAD, and BES towards rental depreciation. On the contrary, sustainable classifications were found insignificant towards rental depreciation. Originality/value - The novelty of this study is that it proposes the sustainable classifications as one of the components in analysing the commercial property depreciation.
机译:目的-人们日益意识到保护环境和减少建筑物碳足迹的重要性,从而导致了可持续或绿色办公楼的发展,据信这些办公楼更节能,更环保。尽管如此,除了其他传统原因之外,没有多少人研究马来西亚绿色分类与租金贬值之间的影响程度。因此,本研究的主要目的是确定建筑物特征与位置因素之间的关系,即绿色建筑物分类(BCL),位置和场所(LOT),建筑工程与服务(BES)以及建筑物外观和设计(BAD) )导致吉隆坡金三角地区的租金贬值。设计/方法/方法-针对选定的吉隆坡商业用途办公楼物业经理,在数据收集中使用了问卷调查。为了确定模型的重要性和相关性,本研究采用了PLS算法和自举程序。调查结果-该研究表明,LOT,BAD和BES对租金折旧有重大影响。相反,可持续的分类被认为对租金折旧无关紧要。原创性/价值-这项研究的新颖之处在于,它提出了可持续分类作为分析商业财产折旧的组成部分之一。

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