Handbook of Regulatory Impact Assessment
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Handbook of Regulatory Impact Assessment

Edited by Claire A. Dunlop and Claudio M. Radaelli

This comparative Handbook provides a pioneering and comprehensive account of regulatory impact assessment – the main instrument used by governments and regulators to appraise the likely effects of their policy proposals. Renowned international scholars and practitioners describe the substance of impact assessment, situating it in its proper theoretical traditions and scrutinizing its usage across countries, policy sectors, and policy instruments. The Handbook of Regulatory Impact Assessment will undoubtedly be of great value to practitioners and also scholars with its wealth of detail and lessons to be learned.
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Chapter 15: Agriculture

Duncan Russel


This chapter examines the challenges of applying ex ante analysis to agricultural policy. It does so through the lens of the European Union’s Common Agricultural Policy, which throws up many relevant problems that may also be common in other political jurisdictions. The chapter highlights the complexities of agricultural policy rooted in a decision-making environment that encompasses the actions of individual farmers through to international organizations such as the World Trade Organization (WTO) each with different interests, and the significant spillovers into other policy areas such as the environment, trade and energy. While there is plenty of analysis on the economic impacts of agricultural policy that can be drawn into impact assessment (IA) analysis, data gaps on social and to a lesser extent environmental impacts do present some challenges. Moreover, agricultural policy-making is highly politicized with many different actors pushing for wholly different, often conflicting directions from liberalization of the sector through to protection of rural economies. The difficulties of navigating these different actor interests can hamper the rigorous use of IA to develop policy. Ultimately, the chapter concludes by arguing that given the complex context of agricultural policy, more systematic use of IA is especially needed to promote learning and dialogue amongst policy-makers and wider stakeholders.

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