Competitiveness Analysis in Global Economies
Summary
Competitiveness analysis in global economies examines the capacity of countries, regions and firms to achieve sustained economic growth and improved living standards in an interconnected world. At national level, competitiveness is typically assessed through composite indices that integrate factors such as institutional quality, macroeconomic stability, infrastructure, innovation capability and human capital. Econometric and multi-criteria approaches enable researchers to quantify the relationships between these factors and economic performance. Regional and sectoral studies complement this perspective by exploring how local assets – including specialised labour pools, technological clusters and transport networks – interact with policy frameworks to drive productive efficiency. In recent years, sustainability concerns have become integral to competitiveness debates as economies seek to reconcile growth with environmental stewardship and social inclusion. Digitalisation and the transition towards knowledge-based activities have added a further dimension, highlighting the role of data infrastructure, lifelong learning and R&D intensity in shaping competitive potential. Empirical work often employs panel-data models, dynamic indices and network analysis to capture temporal dynamics and interdependencies, while policy simulations illustrate the impact of targeted interventions on productivity, exports and innovation diffusion. Through this multi-layered lens, competitiveness analysis informs decision-making on trade policy, investment in human and physical capital, institutional reform and green transition, with concrete applications ranging from regional development strategies to corporate benchmarking.
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Competitiveness Analysis in Global Economies publication trend
The graph below shows the total number of articles in competitiveness analysis in global economies across all publications each year (not limited to Nature Index journals).
Technical terms
Global Competitiveness Index: A composite metric that aggregates institutional, macroeconomic, infrastructure and innovation indicators to rank national competitive performance.
Panel data: A dataset comprising observations on multiple units (e.g. countries or regions) over several time periods, enabling the analysis of dynamic relationships.
Econometric analysis: The application of statistical and mathematical models to economic data to test hypotheses and estimate causal effects.
Multi-criteria index: An aggregate measure constructed by weighting and combining diverse indicators to capture complex phenomena such as competitiveness or sustainability.
References
- Assessing the Key Factors Measuring Regional Competitiveness. Sustainability (2024).
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