Exploring Global Competitiveness Index 4.0 through the lens of country risk

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2023-09-21 DOI:10.1016/j.techfore.2023.122856
Abroon Qazi
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Abstract

The Global Competitiveness Index (GCI) 4.0 provides an annual evaluation of country-level productivity and development in the fourth industrial revolution era. The GCI 4.0 is classified into 12 pillars representing socioeconomic, financial, health, technological, and other factors of production. Country risk, which is an aggregate measure of country-level exposure to financial, political, and economic risks, can influence national development. This study explores the association between country risk and competitiveness by mapping country risk drivers to GCI and GCI pillars to country risk. Two Bayesian Belief Network models, with a minimum prediction accuracy of 81.3 %, are developed using two data-sets representing the GCI and country risk ratings of 107 countries. Sensitivity analysis reveals that low performance in information and communication technology (ICT) adoption (monetary policy) can significantly affect country risk (GCI), whereas innovation capability (financial system risk) and institutions (legal system) can considerably improve country risk (GCI). By delving into how the pillars of competitiveness interact with various risk factors such as political stability, economic volatility, and regulatory environment, decision-makers, investors, and policymakers can gain valuable insights that guide effective resource allocation, risk mitigation strategies, informed policy formulation, and sustainable development efforts.

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从国家风险角度探讨全球竞争力指数4.0
全球竞争力指数4.0提供了对第四次工业革命时期国家一级生产力和发展的年度评估。GCI 4.0分为12个支柱,代表社会经济、金融、健康、技术和其他生产要素。国家风险是衡量国家一级面临金融、政治和经济风险的综合指标,可以影响国家发展。本研究通过将国家风险驱动因素映射到GCI和将GCI支柱映射到国家风险,探讨了国家风险与竞争力之间的关系。使用代表107个国家的GCI和国家风险评级的两个数据集,开发了两个贝叶斯信念网络模型,其最低预测准确率为81.3%。敏感性分析表明,在采用信息和通信技术(货币政策)方面表现不佳会对国家风险产生重大影响,而创新能力(金融系统风险)和机构(法律系统)则会大大提高国家风险。通过深入研究竞争力的支柱如何与政治稳定、经济波动和监管环境等各种风险因素相互作用,决策者、投资者和决策者可以获得宝贵的见解,指导有效的资源分配、风险缓解战略、知情的政策制定和可持续发展努力。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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