The European Union Structural Funds: The Impact on the Country’s Competitiveness
Journal: Financial Markets, Institutions and Risks (FMIR) (Vol.9, No. 4)Publication Date: 2026-01-04
Authors : Oleh Blazhko; Olena Churikanova; Aygun Aliyeva;
Page : 92-113
Keywords : European Structural Funds; competitiveness; GDP growth; inflation dynamics; unemployment; international trade; econometric modelling;
Abstract
Growing economic volatility has renewed interest in whether EU cohesion instruments are associated with measurable improvements in macro-level competitiveness. This article examines the relationship between European Structural and Investment Funds (ESF) and EU competitiveness indicators, focusing on GDP, inflation, unemployment, imports, and exports. Using annual EU-level data from 2007 to 2022, the study employs descriptive statistics, Pearson correlation with Student’s t-tests, and pairwise and multivariate OLS regressions, all implemented in MS Excel. The results show strong correlations between ESF and GDP (r = 0.88), imports (r = 0.80), and exports (r = 0.79), a moderate correlation with inflation (r = 0.61), and a strong negative correlation with unemployment (r = –0.72), with all coefficients statistically significant (e.g., t = 9.98 for GDP and t = –5.6 for unemployment against a critical value of 2.145). Pairwise regressions indicate substantial explanatory power for GDP (R² = 0.78; slope +7,822.15 per ESF unit), imports (R² = 0.65; slope +1.85), and exports (R² = 0.64; slope +1.59), while inflation remains weaker but significant (R² = 0.38; slope +0.0077) and unemployment declines with higher ESF (R² = 0.53; slope –0.0072). In the multivariate model, overall fit is high (R² = 0.927; Significance F = 0.000022), and GDP (p = 0.0091) and inflation (p = 0.0036) remain significant predictors of ESF; a reduced specification including GDP, inflation, and imports retains strong fit (R² = 0.922; Significance F = 0.00000063) with all included predictors statistically significant. Policy implications suggest prioritising ESF allocations towards productivity-enhancing and trade-oriented investments (skills linked to labour demand, innovation diffusion, and export readiness) that align with the strongest GDP and trade associations observed. Given the positive co-movement with inflation (r = 0.61; p = 0.0036 in the multivariate model), programme implementation should also incorporate macro-stability safeguards, including smoother procurement scheduling and a greater emphasis on supply-expanding projects during inflationary episodes.
Other Latest Articles
- Machine Learning Return Prediction for Enhanced Investment Portfolio Analysis in Emerging Markets
- Corporate Governance and Financial Performance in Banks: The Moderating Role of Information Leakage
- The Impact of Liquidity Risks on Financial Performance: A Case Study of Islamic Banks in Africa
- Innovative Financial Management Reforms: A Catalyst of Good Governance in the South African Public Sector
- Digital Transformation in Accounting for Sustainable Development: Mapping the Intellectual Structure
Last modified: 2026-01-28 16:42:38
Share Your Research, Maximize Your Social Impacts


