European Policy Analysis Volume 2, Number 1, Spring 2016 | Page 209

European Policy Analysis Figure 3: The first 32 “hits” when performing a Google Image search for “policy cycle” (8 March 2016) introduced above. Although this cyclic metaphor may be useful for analytical purposes, the notion that there is a linear logic to policy processes may cloud and hamper the actions of actors at the policy development coalface. It is not just that one stage or step coincides with another (for instance, the specification of policy alternatives may interface with the selection of policy instruments/interventions). In fact, often a step that comes “later” in the stages heuristic in fact precedes an earlier phase in the cycle. A “real life” example would be policy implementation. Implementation is driven by a wide array of contextual factors, including shifting power relations. Even when the policy problem is debated (as a first “agenda setting” exercise), actors in the system implicitly, or by default, know that some implementation strategies will be impossible to develop. Regardless of how well planned and analytical earlier stages in the policy process are, only certain types of interventions can be favored (Pressman and Wildavsky 1983). In a comprehensive review of the literature on policy instruments and interventions, Bemelmans-Videc, Rist, and Vedung (1998) formulate the “least coercion rule”: policy-makers favor the intervention that is least intrusive into individual choice (as evidenced for obesity policy by, for instance, Allender et al. (2012)). Thus, despite following the policy planning process conscientiously, the outcome in implementation terms favors communicative over facilitative or regulatory interventions. Steps in the cycle are therefore in reality rarely sequential or with feedback loops between sequential stages: often the process jumps a few steps ahead, to return to a previous step, or it finds itself going both clockwise and counter-clockwise for only sections of the cycle. 209