G20 Ülkelerinin COVID-19 Öncesi ve COVID-19 Dönemi Lojistik Performanslarının Kıyaslanması: MEREC ve CODAS Entegre Yaklaşımı

Önder İnce, Betül Çetiner, Fatih Ecer
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Abstract

Logistics is a sector contributing substantially to the economic and social development of a country. Countries benefit from the logistics performance index (LPI) published periodically by the World Bank to evaluate their logistics performance, identify weaknesses, and develop accordingly. The following six essential criteria are used to assess the countries’ logistics performance: customs, infrastructure, international shipments, logistics quality and competence, monitoring and tracking, and timeliness. Thus, this study aimed to evaluate the logistics performance of G20 countries before and during the coronavirus disease 2019 (COVID-19) period. For this purpose, an integrated model based on the method based on the removal effects of criteria (MEREC) and the combinative distance-based assessment (CODAS), which are multi-criteria decision-making methods, was exploited. First, criterion weights were determined using the MEREC method. Second, the logistics performances of G20 countries were analyzed and compared using the CODAS method with respect to data from both before and during COVID-19 pandemic. The analysis results identified monitoring and tracing, customs clearance, international shipments, infrastructure, logistics quality, and adequacy and timing as the criteria weights during the pre-pandemic period and monitoring and tracing, international shipments, logistics quality and competence, customs, infrastructure, and timeliness during the pandemic period. Based on the CODAS method, the top five countries in the pre-pandemic period in the logistics performance ranking of the G20 countries were Germany, Japan, the UK, the United States of America, and France, respectively, and the top five countries in the ranking during the pandemic period were Germany, Canada, Japan, Spain, and France, respectively. In addition, to test the reliability and robustness of the model exploited, sensitivity and comparison analyses were performed. The results revealed that the pandemic affected the logistics performance of many countries.
G20 国家在 COVID-19 之前和期间的物流绩效比较:MEREC 和 CODAS 综合方法
物流是一个对国家经济和社会发展做出重大贡献的部门。各国可利用世界银行定期发布的物流绩效指数(LPI)来评估本国的物流绩效,找出薄弱环节,并进行相应的发展。评估各国物流绩效的六个基本标准是:海关、基础设施、国际运输、物流质量和能力、监控和跟踪以及及时性。因此,本研究旨在评估 2019 年冠状病毒病(COVID-19)之前和期间 G20 国家的物流绩效。为此,本研究采用了基于标准消除效应法(MEREC)和基于距离的组合评估法(CODAS)的综合模型,这两种方法都是多标准决策方法。首先,使用 MEREC 方法确定标准权重。其次,利用 CODAS 方法,结合 COVID-19 大流行之前和期间的数据,对 G20 国家的物流绩效进行了分析和比较。分析结果表明,在大流行前,监控和追踪、通关、国际货运、基础设施、物流质量、充足性和及时性是标准权重;在大流行期间,监控和追踪、国际货运、物流质量和能力、通关、基础设施和及时性是标准权重。根据 CODAS 方法,大流行前 G20 国家物流绩效排名前五位的国家分别是德国、日本、英国、美国和法国,大流行期间排名前五位的国家分别是德国、加拿大、日本、西班牙和法国。此外,为了检验所利用模型的可靠性和稳健性,还进行了敏感性分析和比较分析。结果显示,大流行病影响了许多国家的物流绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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