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Design Principles for Policy Mixes

Cohesion and Coherence in ‘New Governance Arrangements’

Bibliographic Data

ID12652016
AuthorsMichael Howlett (0000-0003-4689-740X, corresponding author), J Rayner (0000-0002-9031-5457)
Year2007
Volume26
Issue4
Pages1-18
Publication date2007-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy and Society (JOURNAL)
Journal identifiersISSN: 1449-4035 • E-ISSN: 1839-3373
PublisherElsevier BV (PUBLISHER)
DOI10.1016/s1449-4035(07)70118-2
OpenAlexW2082088739
LanguageEN
Citations received256
References cited49

New Governance Arrangements (NGAs) have emerged as a lively topic in comparative policy studies and are often proposed as solutions to complex policy problems like environmental or health protection. However, assessing the merits and demerits of particular arrangements or instrument mixes is difficult. The paper proposes a variety of tools to tackle the often-overlooked problem of identifying and inventorying the instruments found in instrument mixes and assessing their likelihood to produce optimal results. A framework is developed for evaluating the likelihood of successful implementation of NGA's that exploits the fact that new policy development is almost always constrained by previous policy choices which have become institutionalized. The degree to which this institutionalization has occurred is seen as variable and the implementation to depend on a number of well-understood processes such as increasing returns and other kinds of positive feedback; sunk costs; and incremental policy learning. The applicability of the framework is demonstrated in the context of NGAs found in the forestry sector

Coherence (philosophical gambling strategy · Cohesion (chemistry · Computer security · Context (archaeology · Corporate governance · Economics · Exploit · Institutionalisation · Management · Management science · Political science · Public economics · Variety (cybernetics · Computer Science · Law · Local Government Finance and Decentralization · Policy Transfer and Learning · Political Influence and Corporate Strategies · Artificial Intelligence

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Unique citing works256
Citations per year15,06
Citation span2009 - 2026 (18)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 255

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