基于竞争力的物流绩效指数:经济合作与发展组织国家的实证分析

Q3 Business, Management and Accounting
M. Polat, Karahan Kara, A. Acar
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引用次数: 0

摘要

物流除了是全球供应链的一项具有重要战略意义的职能外,在全球经济中也是一个规模相当大的部门。因此,整个经济体的物流能力在国家层面具有战略影响,支持各国实现全球竞争优势。因此,这些国家的物流表现不仅表明它们成功地利用了现有的物流能力,而且也表明了它们在全球层面的竞争力。由于这种战略影响,本研究旨在从竞争力的角度处理经合组织国家的物流绩效,并确定基于竞争力的物流绩效指数(CB-LPI)。为此,数据包络分析采用了两种不同的技术。输入变量为全球竞争力指数,输出变量为物流绩效指数。在这项实证研究中,使用了7个输入(基础设施、技能、产品市场、金融系统、信息和通信技术采用、商业活力、创新能力)和6个输出变量(海关、基础设施、国际货运、物流质量和能力、跟踪和追踪、及时性)。本研究共分5个阶段进行。这些时期分别为2010年、2012年、2014年、2016年和2018年。因此,确定了8个国家(澳大利亚、德国、意大利、墨西哥、波兰、葡萄牙、西班牙和土耳其)在这两种技术的应用方面,在每个时期的竞争性物流表现都处于充分有效的水平。此外,还建立了涵盖所有经合组织国家的CB-LPI。根据获得的分数,制定了针对各国的国别建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competitiveness based logistics performance index: An empirical analysis in Organisation for Economic Co-operation and Development countries
Logistics, beyond being a strategically important function for global supply chains, is a sector of considerable size in terms of the global economy. Thus, economy-wide logistics capabilities have a strategic impact at the national level, supporting countries to achieve a global competitive advantage. For this reason, the logistics performances of the countries not only show the success of using their existing logistics capabilities but also provide significant indications about their competitiveness at the global level. Due to this strategic impact, this study aims to deal with the logistics performances of OECD countries from the perspective of competitiveness and to determine the competitiveness-based logistics performance index (CB-LPI). For this purpose, data envelopment analysis has been applied with two different techniques. The input variables are the Global Competitiveness Index, and the output variables are the Logistic Performance Index. In this empirical study, 7 inputs (infrastructure, skills, product market, financial system, information and communication technology adoption, business dynamism, innovation capability) and 6 output variables (Customs, Infrastructure, International shipments, Logistics quality and competence, Tracking and tracing, Timeliness) have been used. This study is handled in a total of 5 periods. These periods are 2010, 2012, 2014, 2016 and 2018. As a result, it was determined that the competitive logistics performances of 8 countries (Australia, Germany, Italy, Mexico, Poland, Portugal, Spain, and Turkey) were at the level of full efficiency in each period in the application of both techniques. In addition, the CB-LPI covering all OECD countries has been established. Based on the scores obtained, country-based suggestions for countries have been developed.
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来源期刊
Competition and Regulation in Network Industries
Competition and Regulation in Network Industries Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
1.70
自引率
0.00%
发文量
14
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