Global Industrial Chain Resilience Research: Theory and Measurement

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2023-09-06 DOI:10.3390/systems11090466
Li Ma, Xiumin Li, Yu Pan
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引用次数: 0

Abstract

Global industrial chain resilience refers to the capability of industrial chains, on a global scale, to maintain or restore their normal operations and value-creating ability in the face of various risks and uncertainties. This resilience is crucial for addressing crises, promoting economic growth, and upholding national security. However, there is currently a lack of unified standards and methods for measuring and enhancing global industrial chain resilience. This study constructs a global industrial chain production model in a multi-country and multi-stage open economy context. It utilizes data from the 1990–2021 Eora MRIO (Multi-Regional Input–Output) dataset to analyze the formation, measurement, and influencing factors of global industrial chain resilience. The research findings indicate that since 2010, the disparity in industrial chain resilience between different countries has gradually widened. Manufacturing plays a pivotal role in maintaining industrial chain stability. Additionally, factors such as input costs and technological levels have been found to positively impact the enhancement of global industrial chain resilience. Therefore, this study provides theoretical and empirical support for exploring and improving global industrial chain resilience, offering valuable guidance for policymakers and entrepreneurs.
全球产业链弹性研究:理论与测度
全球产业链韧性是指在全球范围内,产业链在面对各种风险和不确定性时保持或恢复正常运营和价值创造能力的能力。这种韧性对于应对危机、促进经济增长和维护国家安全至关重要。然而,目前缺乏衡量和增强全球产业链韧性的统一标准和方法。本研究构建了一个多国家、多阶段开放经济背景下的全球产业链生产模型。它利用1990-2021年Eora MRIO(多区域投入-产出)数据集的数据来分析全球产业链韧性的形成、衡量和影响因素。研究结果表明,自2010年以来,不同国家在产业链韧性方面的差距逐渐扩大。制造业在维护产业链稳定方面发挥着关键作用。此外,投入成本和技术水平等因素对增强全球产业链韧性有积极影响。因此,本研究为探索和提高全球产业链韧性提供了理论和实证支持,为决策者和企业家提供了宝贵的指导。
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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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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