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Linking to compete: Logistics and global competitiveness interaction

机译：链接竞争：物流与全球竞争力互动

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A country's ability to trade globally depends to a great extent on the traders' access to efficient logistics networks. The efficiency of logistics networks, in its turn, depends on government services, investments, and policies. Building infrastructure, developing a regulatory regime for transport services, and designing and implementing efficient customs clearance procedures are the areas where governments play an important role. One of the measures for logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. LPI is composed of six indicators namely customs, infrastructure, service quality, timeliness, international shipments, and tracking and tracing. This study argues that there is a close relationship between global competitiveness and the logistics efficiency of a country and it analyzes the validity of these relations using an artificial neural network (ANN) and cumulative belief degrees (CBD) approach. For this purpose; initially, a screening process is carried out to find the World Economic Forum's competitiveness indicators that may have an impact on each of the LPI indicators. Subsequently, the relationship between the competitiveness indicators and LPI indicators is analyzed using ANN where the LPI indicators are represented by CBDs. As a case study, this methodology is used to analyze Turkey's logistics performance and to develop the basic strategies to be adopted by the government to achieve a targeted LPI level for the country. Among the many factors relating to logistics performance, it was found that fixed broadband Internet availability is the most important target area for improvement related to sustainable logistics policy. (C) 2016 Elsevier Ltd. All rights reserved.
机译：一个国家的全球贸易能力在很大程度上取决于贸易商能否获得有效的物流网络。反过来，物流网络的效率取决于政府的服务，投资和政策。建设基础设施，制定运输服务监管制度以及设计和执行高效的通关程序是政府发挥重要作用的领域。世界银行集团发布的物流绩效指数（LPI）是国家一级物流绩效的衡量标准之一。 LPI由六个指标组成，即海关，基础设施，服务质量，及时性，国际运输以及跟踪和追踪。这项研究认为，全球竞争力与一个国家的物流效率之间存在密切的关系，并使用人工神经网络（ANN）和累积信念度（CBD）方法分析了这些关系的有效性。以此目的;最初，进行筛选过程以查找可能对每个LPI指标都有影响的世界经济论坛的竞争力指标。随后，使用ANN分析竞争力指标和LPI指标之间的关系，其中LPI指标以CBD表示。作为案例研究，该方法用于分析土耳其的物流绩效，并制定政府将采用的基本策略，以实现该国的目标LPI水平。在与物流绩效有关的众多因素中，发现固定宽带互联网可用性是与可持续物流政策有关的最重要的改进目标领域。 （C）2016 Elsevier Ltd.保留所有权利。

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