Policy instruments, policy learning and politics: impact assessment in the European Union

Dunlop, Claire A.; Radaelli, Claudio M.

doi:10.4337/9781788118194.00016

Cited by 14 publications

(8 citation statements)

References 53 publications

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“…Following Dunlop and Radaelli (2019), we conceive learning as a deliberate process to adjust the organizational strategies, policy goals and/or policy tools/techniques, responding to past experience and new policy-relevant knowledge. We focus on reflexive learning associated with: the operationalization of a set of instruments (policy mix) underpinned by the logic of force-free deliberation; the absence of pre-defined teachers; and changing participants over time (Dunlop & Radaelli, 2013).…”

Section: Theoretical Background and Conceptual Frameworkmentioning

confidence: 99%

Engines of learning? Policy instruments, cities and climate governance

Domorenok

Zito

2021

Policy Sci

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This contribution investigates how combinations of instruments, often called policy mixes, enhance policy learning processes at different levels. It analyzes the European Union’s (EU) Covenant of Mayors (CoM) that is underpinned by a set of learning instruments, to promote local action for sustainable energy and climate. The piece offers an original framework to explore whether and how the Covenant enhances learning at the level of European institutions and among local governments. Drawing on an extensive documentary review and elite interviews in four countries (Germany, Italy, Poland and the UK), the analysis shows that the CoM instrument mix has enhanced certain elements of learning within the actors leading the Covenant as well as many of the local governments within and outside the EU, but only if certain conditions operate, such as political leadership, individual motivation and knowledge and regional coordination mechanisms.

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Section: Theoretical Background and Conceptual Frameworkmentioning

confidence: 99%

Engines of learning? Policy instruments, cities and climate governance

Domorenok

Zito

2021

Policy Sci

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“…These comparative analyses evaluate how organizations plan for and adapt their policy decisions about emerging risks such that "underlying uncertainties are successively reducedor at least better characterizedover time" (McCray et al 2010, p. 952). Notably, the planned adaptative regulation literature goes beyond investigations into how organizations evaluate the benefits and limitations of alternative regulatory instruments, which has been a fruitful preoccupation of impact assessment practitioners and scholarly studies (Dunlop et al 2012;Scott 2018;Dunlop & Radaelli 2019).…”

Section: Analytic Framework: Planned Adaptive Regulationmentioning

confidence: 99%

Adaptive governance for the Internet of Things: Coping with emerging security risks

Brass

Sowell

2020

Regulation & Governance

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The Internet of Things (IoT) is a disruptive innovation known for its socio-economic potential, but also for generating unprecedented vulnerabilities and threats. As a dynamic sociotechnical system, the IoT comprises well-known cybersecurity risks and endemic uncertainties that arise as IoT adoption increases and the system evolves. We highlight the impact of these challenges by analyzing how insecure IoT devices pose threats to both consumer protection and the Internet's infrastructure. While recent regulatory responses are starting to target IoT security risks, crucial deficienciesespecially related to the feedback necessary to keep pace with emerging risks and uncertaintiesmust be addressed. We propose a model of adaptive regulatory governance that integrates the benefits of centralized risk regulatory frameworks with the operational knowledge and mitigation mechanisms developed by epistemic communities that manage day-to-day Internet security. Rather than focusing on the choice of regulatory instruments, this model builds on the "planned adaptive regulation" literature to highlight the need to systematically plan for a knowledge-sharing interface in regulatory governance design for disruptive technologies, facilitating the feedback necessary to address evolving IoT security risks.

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“…There is room for contributions that further develop the notion of operational problem‐solving. One possible avenue for such an undertaking would be to examine the connection between implementation failures and problem‐solving, for example by exploring the types of implementation failure or success (Jordan ), and drawing on concepts from the policy evaluation literature (Mastenbroek et al ; Dunlop and Radaelli ).…”

Section: Defining Problem‐solvingmentioning

confidence: 99%

Integration, functional differentiation and problem‐solving in multilevel governance

Trein

Thomann

Maggetti

2019

Public Administration

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The European Union (EU) is currently facing unprecedented challenges to its problem‐solving capacity, such as those represented by pressing transnational crises and by bottom‐up criticisms towards the European integration process. Moreover, the EU is said to compensate its weak input legitimacy with an enhanced problem‐solving capacity. However, the notion of problem‐solving itself has remained remarkably vague in the multilevel governance (MLG) literature. This symposium analyses problem‐solving in different MLG settings. In this introduction, we identify procedural and operational notions of problem‐solving in MLG, and present a structural framework to guide the comparative analyses of multilevel systems along the dimensions of political integration, functional differentiation and decentralization. The contributions to the symposium illustrate how structural elements of different multilevel systems shape both the policy‐making process and the politics of problem‐solving within these systems. In doing so, they pave the way for further comparative research.

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Policy instruments, policy learning and politics: impact assessment in the European Union

Cited by 14 publications

References 53 publications

Engines of learning? Policy instruments, cities and climate governance

Engines of learning? Policy instruments, cities and climate governance

Adaptive governance for the Internet of Things: Coping with emerging security risks

Integration, functional differentiation and problem‐solving in multilevel governance

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