布鲁盖尔-European-Union-cohesion-project-characteristics-and-regional-economic-growth_35页_789kb

Summary of "European Union Cohesion Project Characteristics and Regional Economic Growth"

Core Content

This paper by Zsolt Darvas, Jan Mazza, and Catarina Miodoes examines the characteristics of EU cohesion projects and their relationship with regional economic growth. The authors highlight the challenges in identifying the causal impact of cohesion policy due to methodological limitations and complex interactions with other factors. Instead, they focus on analyzing the project characteristics of regions that performed best and worst in terms of economic growth, to uncover potential indicators of success.

Main Objectives

• To assess the relationship between EU cohesion project characteristics and regional economic growth.
• To identify which project features are associated with better growth outcomes.
• To develop a new methodology that accounts for region-specific factors and avoids common econometric biases.

Key Findings

The study identifies several project characteristics that are positively correlated with better regional economic growth:

• Longer project durations are associated with improved growth outcomes.
• More inter-regional focus contributes to better growth performance.
• Lower national co-financing is linked to better results.
• More national (as opposed to regional or local) management is beneficial.
• Higher proportion of private or non-profit participants among beneficiaries correlates with better growth.
• Higher levels of funding from the Cohesion Fund are also associated with improved growth.

The sector of intervention does not show a clear pattern of impact on growth.

Methodology

The authors use a two-step approach:

1. Conditional Convergence Analysis: They estimate GDP per capita growth from 2003 to 2017 using a regression model that controls for various region-specific fundamentals. This allows them to identify the "unexplained economic growth" – the part of growth not accounted for by these fundamentals.
2. Project Characteristics Analysis: They compare the characteristics of cohesion projects in regions with the best and worst growth performance, focusing on around 24 project-specific variables, including financial, managerial, and operational aspects.

Challenges in Estimating Causal Impact

• Endogeneity and simultaneity bias: Growth and cohesion policy spending are often interrelated, making it difficult to isolate the effect of cohesion policy.
• Data limitations: Many variables are only available at national or regional levels, and the lack of appropriate data complicates analysis.
• Unobserved variables: Spillover effects and other unmeasured factors can influence growth outcomes.
• Nickell bias: This occurs in fixed-effects models when there is a dynamic setup, leading to biased estimates.
• Measurement errors: Cohesion funding data is available at the regional level, but other variables may not be.

Data and Variables

• Data Sources: Eurostat provides most of the data, including regional economic, demographic, education, and innovation statistics. A Quality of Government Index is also used.
• Variables Used:
  • Initial GDP per capita (PPS) in 2003
  • Capital/output ratio in 2003
  • Employment in the tertiary sector in 2003
  • Population growth (2000–2003)
  • Population density in 2003
  • Quality of governance in 2010
  • Percentage of the population aged 25–64 with tertiary education in 2003
  • R&D employment as a percentage of total employment in 2003

Empirical Results

• The regression results show that all variables align with economic theory, indicating that the methodology is robust.
• The adjusted R² is higher for NUTS-3 regions, suggesting that more detailed regional data allows for better identification of growth drivers.
• Unexplained economic growth (residuals from the regression) highlights regions that performed better than expected, based on their initial conditions.
• Greece is a notable outlier, with many of its regions performing poorly in unexplained growth, likely due to the severe economic impact of the 2008 crisis and subsequent austerity measures.
• The authors find that quality of government is more significant at the NUTS-3 level than at the NUTS-2 level, reinforcing the value of detailed regional data.

Implications for Policy Reform

• The study suggests that project characteristics can provide useful insights into the effectiveness of cohesion policy.
• Successful projects tend to be longer in duration, more inter-regional in focus, and better managed at the national level.
• The involvement of private and non-profit actors appears to enhance project outcomes.
• The Cohesion Fund plays a key role in driving growth.
• The paper underscores the need for better governance, strategic planning, and targeted project design to improve the effectiveness of cohesion policy.

Conclusion

The authors conclude that while it is difficult to establish a direct causal link between cohesion policy and economic growth, analyzing the characteristics of successful projects can help identify best practices. Their findings support the idea that good governance, longer project durations, and diverse beneficiary participation are important for achieving better regional economic growth. These insights can inform future reforms of the EU cohesion policy to improve its effectiveness.