Multiple streams framework

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The Multiple Streams Framework (MSF) is a prominent approach for analyzing public policymaking processes. It emphasizes the unpredictable and complex nature of policy development, proposing that three distinct, yet interconnected streams influence the process:

The MSF highlights that policy change occurs when elements from each stream converge in a policy window.

History and Development

The MSF was first proposed by John W. Kingdon to describe the agenda setting stage of the policy making process. [1] In developing his framework Kingdon took inspiration from the garbage can model of organizational choice, [2] which views organizations as anarchical processes resulting from the interaction of four streams: 1) choices, 2) problems, 3) solutions, and 4) energy from participants. Kingdon adapted this general idea to understand agenda setting in the federal government. While his MSF only includes three streams (problems, policies, politics), the general logic is similar: Separate streams run through the organization (of government), each with a life of its own. Solutions are developed whether or not they respond to a problem. Likewise sudden changes can occur in the political landscape, potentially leaving the policy community and existing problems unaddressed. According to Kingdon, the key to understanding agenda and policy change is the coupling of streams, again an idea taken from the garbage can model. At critical times, a problem is recognized, a solution is available, and the political climate allows for action. Kingdon called this situation a "policy window", which is open only for a short time. Only then, the three stream can be coupled in just the right way to yield a significant agenda change. The agents that archive such coupling have been called policy entrepreneurs by Kingdon.

Whereas Kingdon himself did little to encourage others to apply the MSF in different settings, [3] the framework has since been widely adopted and refined by other policy scholars. It was taken up in the field of comparative policy analysis, generalized to policy making systems different from the United States, and combined with the concept of the policy cycle, allowing it to be used to study not only agenda setting but all stages of the policy process, including policy formulation, decision-making, implementation, and evaluation. [3] [4] [5] [6] [7] [8] In terms of actors and agency, Kingdon mainly focused on the role of the policy entrepreneur, raising questions about the role of other actors, especially collective policy actors. [9] As a consequence, leading scholars now describe the different streams in the multiple-streams framework as being populated by distinct collective actors, most notably epistemic communities in the problem stream, policy instrument constituencies in the policy stream, and advocacy coalitions in the politics stream. [9] [10] [11]

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An epistemic community in international relations (IR) is a network of professionals with recognized knowledge and skill in a particular issue-area. They share a set of beliefs, which provide a value-based foundation for the actions of members. Members of an epistemic community also share causal beliefs, which result from their analysis of practices that contribute to set of problems in their issue-area that then allow them to see the multiple links between policy and outcomes. Third, they share notions of validity, or internationally defined criteria for validating knowledge in their area of know-how. However, the members are from all different professions. Epistemic communities also have a common set of practices associated with a set of problems towards which their professional knowledge is directed, because of the belief that human welfare will benefit as a result. Communities evolve independently and without influence of authority or government. They do not have to be large; some are made up of only a few members. Even non-members can have an influence on epistemic communities. However, if the community loses consensus, then its authority decreases.

John Wells Kingdon is Professor Emeritus and was Acting Chair of Political Science at the University of Michigan. He is a graduate of Oberlin College and the University of Wisconsin–Madison. He is a fellow of the American Academy of Arts and Sciences and was a Guggenheim fellow. He resides in Ann Arbor, Michigan. He is also a fellow at the Center for Advanced Behavioral Studies at Stanford. He served as Chair of the Department of Political Science at the University of Michigan and as President of the Midwest Political Science Association, and has often been a Guest Scholar at the Brookings Institution.

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<span class="mw-page-title-main">Environmental policy of the European Union</span> Environment protection policy

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Epistemic democracy refers to a range of views in political science and philosophy which see the value of democracy as based, at least in part, on its ability to make good or correct decisions. Epistemic democrats believe that the legitimacy or justification of democratic government should not be exclusively based on the intrinsic value of its procedures and how they embody or express values such as fairness, equality, or freedom. Instead, they claim that a political system based on political equality can be expected to make good political decisions, and possibly decisions better than any alternative form of government .   

<span class="mw-page-title-main">Garbage can model</span> Theory of organizational decison-making

The garbage can model describes the chaotic reality of organizational decision making in an organized anarchy. The model originated in the 1972 seminal paper, A Garbage Can Model of Organizational Choice, written by Michael D. Cohen, James G. March, and Johan P. Olsen.

Chemical game theory is an alternative model of game theory that represents and solves problems in strategic interactions, or contested human decision making. Differences with traditional game theory concepts include the use of metaphorical molecules called “knowlecules”, which represent choices and decisions among players in the game. Using knowlecules, entropic choices and the effects of preexisting biases are taken into consideration. A game in chemical game theory is then represented in the form of a process flow diagram consisting of unit operations. The unit operations represent the decision-making processes of the players, and have similarities to the garbage can model of political science.

A policy instrument constituency is a theoretical concept in political science and describes a network of actors focused on developing, promoting, and maintaining a specific policy instrument. Instrument constituencies have been identified as the key drivers of the "policy stream" in the multiple streams framework. By actively promoting the benefits and effectiveness of the instruments they promote, instrument constituencies can significantly influence the policy agenda. This influence can lead to the adoption of an instrument even when other tools might be more effective for a given challenge. Likewise, the influence of instrument constituency can lead to problem chasing, which is the situation in which the coupling of an instrument to a policy problem is driven by the former rather than the latter. On the other hand, encouraging the growth of instrument constituencies can also be beneficial, e.g. for fostering climate-friendly transitions.

References

  1. Kingdon, John (2003). Agendas, Alternatives, and Public Policies (2nd ed.). New York, NY: Pearson.
  2. Cohen, M. D.; March, J. G.; Olsen, J. P. (1972). "). Garbage can model of organizational choice". Administrative Science Quarterly. 17 (1): 1–25. doi:10.2307/2392088. JSTOR   2392088.
  3. 1 2 Zahariadis, Nikolaos (2007), "The Multiple Streams Framework: Structure, Limitations, Prospects", Theories of the Policy Process, Second Edition (2 ed.), Routledge, doi:10.4324/9780367274689-3/multiple-streams-framework-nikolaos-zahariadis, ISBN   978-0-367-27468-9 , retrieved 2024-02-29
  4. Howlett, Michael; McConnell, Allan; Perl, Anthony (August 2015). "Streams and stages: R econciling K ingdon and policy process theory". European Journal of Political Research. 54 (3): 419–434. doi:10.1111/1475-6765.12064. ISSN   0304-4130.
  5. Herweg, Nicole; Huß, Christian; Zohlnhöfer, Reimut (August 2015). "Straightening the three streams: Theorising extensions of the multiple streams framework". European Journal of Political Research. 54 (3): 435–449. doi:10.1111/1475-6765.12089. ISSN   0304-4130.
  6. Béland, Daniel; Howlett, Michael (2016-05-26). "The Role and Impact of the Multiple-Streams Approach in Comparative Policy Analysis". Journal of Comparative Policy Analysis: Research and Practice. 18 (3): 221–227. doi: 10.1080/13876988.2016.1174410 . ISSN   1387-6988.
  7. Cairney, Paul; Zahariadis, Nikolaos (2016-10-28), "Multiple streams approach: a flexible metaphor presents an opportunity to operationalize agenda setting processes", Handbook of Public Policy Agenda Setting, Edward Elgar Publishing, pp. 87–105, doi:10.4337/9781784715922.00014, ISBN   978-1-78471-592-2 , retrieved 2024-02-29
  8. Herweg, Nicole (2023), "The Multiple Streams Framework: Foundations, Refinements, and Empirical Applications", Theories Of The Policy Process (5 ed.), Routledge, doi:10.4324/9781003308201-3/multiple-streams-framework-nicole-herweg-nikolaos-zahariadis-reimut-zohlnh%C3%B6fer, ISBN   978-1-003-30820-1 , retrieved 2024-02-29
  9. 1 2 Mukherjee, Ishani; Howlett, Michael P. (2015). "Who is a Stream? Epistemic Communities, Instrument Constituencies and Advocacy Coalitions in Multiple Streams Subsystems". SSRN Electronic Journal. doi:10.2139/ssrn.2593626. ISSN   1556-5068.
  10. Simons, Arno; Voß, Jan-Peter (2017-09-26). "The concept of instrument constituencies: accounting for dynamics and practices of knowing governance". Policy and Society. 37 (1): 14–35. doi: 10.1080/14494035.2017.1375248 . ISSN   1449-4035.
  11. Béland, Daniel; Haelg, Léonore (2020-10-06), "Mapping policy agents: policy entrepreneurs, advocacy coalitions, epistemic communities and instrument constituencies", A Modern Guide to Public Policy, Edward Elgar Publishing, pp. 41–56, doi:10.4337/9781789904987.00009, ISBN   978-1-78990-498-7 , retrieved 2023-12-27