From independence to interdependence: Mapping good governance pathways in OECD and EU economies

This study examines the interdependencies among good governance components using data from the Sustainable Governance Indicators project. Employing expectation-maximization clustering, Bayesian network-tree augmented naive Bayes classification and Bayesian structural equation modeling, the analysis reveals key governance drivers, including parties and interest associations, adaptability, and interministerial coordination. Additionally, evidence-based instruments and societal consultation amplify systemic interactions, reinforcing governance effectiveness. The findings challenge the assumption of independent governance components, highlighting synergistic and cascading effects. This study extends the application of governance theory and resource dependence theory, demonstrating the necessity of integrated governance strategies. By offering a nuanced understanding of governance dynamics, this research provides policymakers with actionable insights to enhance resilience, inclusivity, and adaptability in OECD and EU governance frameworks.

Points to practitioners:

Policymakers should strengthen interministerial coordination, adaptability, and societal consultation to leverage governance synergies and enhance policy coherence and implementation.