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首页> 外文期刊>Building and Environment >Examining repercussions of consumptions and inputs placed on the construction sector by use of I-O tables and DEA
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Examining repercussions of consumptions and inputs placed on the construction sector by use of I-O tables and DEA

机译：通过使用I-O表和DEA检验建筑部门的消费和投入的影响

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This paper aims at introducing the data envelopment analysis (DEA) method to input-output (I-O) analyses. I-O tables have been developed for many decades and have been used extensively to describe and explain economic, social, and environmental issues. One of its major benefits is the derivation of intermediate inputs and demands, which offers more information for data analysis. On the other hand, DEA is argued to be an objective method addressing decision problems. In this paper, it helps to calculate the relative efficiency for each industrial sector based on inputs and outputs of an I-O table. This has extended the static I-O tables to dynamic applications. In order to demonstrate this, five objectives are created to examine repercussions of consumptions and inputs placed on the construction sector in terms of the relative degree of reliance. A numerical example based on the Japanese case is discussed. Based upon the results, strategies and policies can be formulated to overcome difficulties and problems faced by the construction related companies, the construction sector as a whole, and the government as well.
机译：本文旨在将数据包络分析（DEA）方法引入到输入输出（I-O）分析中。 I-O表已经开发了数十年，并已广泛用于描述和解释经济，社会和环境问题。它的主要好处之一是中间输入和需求的派生，它为数据分析提供了更多信息。另一方面，DEA被认为是解决决策问题的一种客观方法。在本文中，它有助于基于I-O表的输入和输出来计算每个工业部门的相对效率。这将静态I-O表扩展到了动态应用程序。为了证明这一点，提出了五个目标，以根据相对依赖程度来检验建筑行业消费和投入的影响。讨论了一个基于日本案例的数值示例。根据结果​​，可以制定战略和政策，以克服与建筑相关的公司，整个建筑部门以及政府所面临的困难和问题。

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