Policy myopia as a source of policy failure: adaptation and policy learning under deep uncertainty

2017 ◽  
Vol 45 (1) ◽  
pp. 103-118 ◽  
Author(s):  
Sreeja Nair ◽  
Michael Howlett
Author(s):  
Sreeja Nair ◽  
Michael Howlett

This chapter introduces the idea of ‘policy myopia’ as a pressing source of failure in policy making and explores the possibility of developing policies that learn to help mitigate its impacts. It notes that while the problem of bounded rationality and short-term uncertainty is widely acknowledged as the central existential condition for all policy making, the long-term problem of an uncertain, and sometimes unknowable, future is rarely acknowledged. As uncertainty deepens, so too does the probability of policy failure. In these circumstances, actors need to design policies with flexibility and adaptation built in. Where policy solutions are robust over a range of possible scenarios and over time, one can say policies have learning capacity organised into them. Yet, in cases of radical uncertainty, learning may not be possible (or indeed preferable) at all. This reminder of the limits of learning is important. Updating one's belief systems assumes that a certain amount of knowledge exists in the first place.


First published as a special issue of Policy & Politics, this updated volume explores policy failures and the valuable opportunities for learning that they offer. The book begins with an overview of policy learning and policy failure. The links between the two appear obvious, yet there are very few studies that address how one can learn from failure, learn to limit failure, and fail to learn. The book attempts to bring the two together. In doing so, it explores how dysfunctional forms of policy learning impact policy failure at the meso-level. The book expands on this by demonstrating how different learning processes generated by actors at the meso-level mediate the extent to which policy transfer is a success or failure. It re-assesses some of the literature on policy transfer and policy diffusion, in light of ideas as to what constitutes failure, partial failure, or limited success. This is followed by an examination of situations in which the incentives of partisanship can encourage a government to actively seek to exacerbate an existing policy failure rather than to repair it. The book studies the connections between repeated assessments of policy failure and subsequent opportunities for system-wide policy learning and reform. Finally, it introduces the idea of ‘policy myopia’ as a pressing source of failure in policy making and explores the possibility of developing policies that learn to help mitigate its impacts.


Author(s):  
Diane Stone

This chapter re-assesses some of the literature on policy transfer and policy diffusion, in light of ideas as to what constitutes failure, partial failure, or limited success. Rather than frame a policy transfer as a failure or success, scholars must recognise transfer (and so failure) as a messy process involving an array of meso-level actors. Two aspects are of particular note. First, the treatment of imperfect transfer as underscored by flawed lesson-drawing is useful as it takes one back to questions about the depth of learning. Second, the chapter highlights two aspects of learning that are often overlooked in mainstream accounts: ‘negative lesson-drawing’ and selective learning. Negative lesson-drawing is a quest to avoid policy failure where policy learning is not synonymous with policy adoption. Instead, policy lessons can help crystallise what ideas and policy paths decision-makers do not wish to follow.


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