The new EC impact assessment: what for? EUROPEAN TRADE UNION CONFEDERATION Sophie Dupressoir
OVERVIEW OF PRESENTATION Political context Key features of impact assessment Limits of IA
POLITICAL CONTEXT Better Regulation Action Plan AND the European Strategy for Sustainable Development An effective and efficient Regulatory Environment More coherent preparation of EU decision-making (economic, social, environmental impacts) Key policy documents EC Communication on Impact assessment – COM(2002) 276 final + Technical guidelines EC Communication on Impact Assessment: Next Steps - In support of competitiveness and sustainable development SEC(2004)1377
Impact assessment: Key features (1) Covers all major initiatives Move away from partial assessment to a cross-sectoral approach (indirect effects, trade-offs) Integrate and replace all the previous EC assessment systems Active involvement of all relevant stakeholders, at earlier stages of the assessment process
Key features (2): A DYNAMIC PROCESS Definition of the problem → identification of options ↔ analysis of impacts → political decision Alternative options should be considered, including « No policy change » Iterative process, in order to achieve best effectiveness of proposal Evaluation of trade-offs (mitigating measures)
Key features (2) : ANALYSING THE IMPACT Positive and negative effects Balancing the short-trem and long-term effects Identify the distributive effects (“losers” and “winners”) and the effects on existing inequalities Internal / external (non-EU) impacts Qualitative, quantitative or monetary terms
LIMITS OF IMPACT ASSESSMENT Sustainable development is not taken as the reference (lack of knowledge on interlinkages ) Long term, positive effects are underestimated (e.g. innovation, health) Limits of economic calculation (in case of uncertainty, serious risk, cultural differences, discounting rate) Macro-level assessments vs. distributive impacts Lack of real strategy for consultation Differences of capacities between stakeholders
CONCLUSION IA is a tool to inform decision making - Does not give “the” solution IA is a good tool to learn about potential implications of a regulatory initiative Stakeholders’ participation should move from “external quality control” to structured dialogue and “learning by doing” process.