通过分析运输层面探索供应链和地区复原力

IF 2.4 Q3 TRANSPORTATION Case Studies on Transport Policy Pub Date : 2024-05-16 DOI:10.1016/j.cstp.2024.101216
María Feo-Valero , Ana Botella-Andreu , Julián Martínez-Moya , Vicente J. Pallardó-López , Francisco Requena-Silvente , Ramón Sala-Garrido
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引用次数: 0

摘要

尽管全球供应链(GSC),更具体地说是运输和物流功能,在地区绩效中可能扮演着关键角色,但目前缺乏将供应链运营产生的数据转化为量化指标的分析工具,使政策制定者能够识别潜在脆弱性的早期信号,并评估全球供应链在地区层面的复原力如何。为了填补这一空白,我们提出了运输复原力指数(TRI),以评估运输链如何影响供应链复原力,进而影响地区复原力。我们的指数基于公开数据--西班牙海关提供的外贸流量统计数据、世界银行物流绩效指数和联合国贸发会议双边班轮航运连接指数--区分公司可直接决策控制的决定因素和与供应市场选择相关的决定因素(市场和宏观层面)。通过使用数据包络分析(DEA)中的 "疑点收益法"(BoD),并应用 "共同权重集"(CSW)来选择指数各组成部分的权重,该指数被应用于西班牙各地区(NUTS2)。在我们的具体分析中,市场和宏观经济成分占 TRI 总权重的 84%。尽管公司维度的相对权重较低,但市场和宏观经济得分的高度同质性意味着公司维度在西班牙各地区的相对复原力中发挥着关键作用。
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Exploring supply chain and regional resilience through the analysis of the transport dimension

Despite the key role that global supply chains (GSC), and more specifically, the transport and logistics function, might play in the performance of regions, there is a lack of analytical tools that turn the data generated by supply chain operations into quantitative metrics allowing policymakers to identify early signals of potential vulnerabilities and assess how resilient the GSC are at regional level. In an effort to fill this gap, we present a Transportation Resilience Index (TRI) that permits evaluating how transport chains affect supply chain resilience and, consequently, regional resilience. Our index, based on publicly available data –statistics on foreign trade flows provided by the Spanish Customs, the World Bank’ Logistics Performance Index and the UNCTAD’ Bilateral Liner Shipping Connectivity Index − differentiates between the determinants over which the company has direct decision-making control, and those linked to the selection of the supply market (market and macro dimensions). The TRI is applied to the Spanish regions (NUTS2) by using the Benefit-of-the-Doubt (BoD) approach to Data Envelopment Analysis (DEA) and applying a Common Set of Weights (CSW) for the selection of the weights to the index components. In our specific analysis, the market and macroeconomic components account for 84% of the total weight of the TRI. Despite the lower relative weight of the company dimension, the high degree of homogeneity in the market and macroeconomic scores means the company dimension plays a key role in the relative resilience of the Spanish regions.

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自引率
12.00%
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222
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