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A literature review of dynamic and network data envelopment analysis models in the energy sector

机译:能源领域动态和网络数据包络分析模型的文献综述

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The present study aims to systematize research that uses networks and dynamic models of Data Envelopment Analysis (DEA) for the energy segment. This study examines how these new models are being applied and what are their contributions in solving the sector problems. Therefore, in order to obtain an in-depth bibliographic review, the analysis period covers the years of 2003 to 2016, as well as represent the trend of recent development in the literature. Different criteria were adopted to select articles that were classified by year, nationality, application area, inputs, outputs, intermediate products and carry-overs, as well as by the network structure adopted in the research. The results indicate the applicability of DEA to adequately portray a diversity of problems related to the energy sector. Also, these models allow to accomplish different planning levels, including the area of regulation. It was also confirmed the capacity of the new models to provide a greater range of information, helping in a better decision-making process.
机译:本研究旨在系统化研究,该研究使用网络和数据包络分析(DEA)的动态模型作为能源领域。这项研究探讨了如何应用这些新模型以及它们在解决行业问题方面的贡献。因此,为了获得深入的书目审查,分析期涵盖了2003年至2016年,并代表了文献中近期发展的趋势。采用不同的标准来选择按年份,国籍,应用领域,投入,产出,中间产品和结转以及研究采用的网络结构分类的文章。结果表明,DEA的适用性足以描述与能源行业相关的各种问题。而且,这些模型允许完成不同的计划级别,包括监管区域。还证实了新模型具有提供更多信息的能力,有助于更好的决策过程。

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