{"title":"Towards a theory of policy bubbles","authors":"Moshe Maor","doi":"10.1007/s11077-025-09573-w","DOIUrl":null,"url":null,"abstract":"<p>Earlier conceptual studies suggest that policy bubbles differ from the more common pattern of policy overreaction due to their sustained, self-reinforcing nature, which results in prolonged overinvestment. Although the best way to analyze this phenomenon is through rigorous empirical investigation, such future endeavors require a guiding theory. This article lays the groundwork for a potential theory of policy bubbles by differentiating between micro-level causes, such as cognitive, emotional, and social network factors influencing individual behavior (e.g., whether a person’s friends are connected to one another), and macro-level causes, including institutional and ideational factors, as well as social network dynamics at the aggregate level, such as links density or segregation patterns. A similar distinction is made here between micro- and macro-level positive feedback processes, which may evolve independently, interact with one another, and exhaust themselves during the emergence of policy bubbles and in the lock-in stage. This stage is conceived here as a prolonged conflict between policy entrepreneurs who advance distorted or accurate policy images. This conflict at times involves the use of sheer power in authoritarian regimes, while in democratic ones it often entails strategic action by policy entrepreneurs via mutual reinforcement between policy overproduction and various forms of capture—constitutional, technological, cultural, and informational. These mechanisms are used by policy entrepreneurs to block bureaucratic drift, coalition drift, and drift of accountability forums that may lead to a decline in policy overproduction. If this theory results in conclusions that offer sufficient generalizations, it may have a place alongside the major theories of the policy process.</p>","PeriodicalId":51433,"journal":{"name":"Policy Sciences","volume":"112 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policy Sciences","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s11077-025-09573-w","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 0
Abstract
Earlier conceptual studies suggest that policy bubbles differ from the more common pattern of policy overreaction due to their sustained, self-reinforcing nature, which results in prolonged overinvestment. Although the best way to analyze this phenomenon is through rigorous empirical investigation, such future endeavors require a guiding theory. This article lays the groundwork for a potential theory of policy bubbles by differentiating between micro-level causes, such as cognitive, emotional, and social network factors influencing individual behavior (e.g., whether a person’s friends are connected to one another), and macro-level causes, including institutional and ideational factors, as well as social network dynamics at the aggregate level, such as links density or segregation patterns. A similar distinction is made here between micro- and macro-level positive feedback processes, which may evolve independently, interact with one another, and exhaust themselves during the emergence of policy bubbles and in the lock-in stage. This stage is conceived here as a prolonged conflict between policy entrepreneurs who advance distorted or accurate policy images. This conflict at times involves the use of sheer power in authoritarian regimes, while in democratic ones it often entails strategic action by policy entrepreneurs via mutual reinforcement between policy overproduction and various forms of capture—constitutional, technological, cultural, and informational. These mechanisms are used by policy entrepreneurs to block bureaucratic drift, coalition drift, and drift of accountability forums that may lead to a decline in policy overproduction. If this theory results in conclusions that offer sufficient generalizations, it may have a place alongside the major theories of the policy process.
期刊介绍:
The policy sciences are distinctive within the policy movement in that they embrace the scholarly traditions innovated and elaborated by Harold D. Lasswell and Myres S. McDougal. Within these pages we provide space for approaches that are problem-oriented, contextual, and multi-method in orientation. There are many other journals in which authors can take top-down, deductive, and large-sample approach or adopt a primarily theoretical focus. Policy Sciences encourages systematic and empirical investigations in which problems are clearly identified from a practical and theoretical perspective, are well situated in the extant literature, and are investigated utilizing methodologies compatible with contextual, as opposed to reductionist, understandings. We tend not to publish pieces that are solely theoretical, but favor works in which the applied policy lessons are clearly articulated. Policy Sciences favors, but does not publish exclusively, works that either explicitly or implicitly utilize the policy sciences framework. The policy sciences can be applied to articles with greater or lesser intensity to accommodate the focus of an author’s work. At the minimum, this means taking a problem oriented, multi-method or contextual approach. At the fullest expression, it may mean leveraging central theory or explicitly applying aspects of the framework, which is comprised of three principal dimensions: (1) social process, which is mapped in terms of participants, perspectives, situations, base values, strategies, outcomes and effects, with values (power, wealth, enlightenment, skill, rectitude, respect, well-being, and affection) being the key elements in understanding participants’ behaviors and interactions; (2) decision process, which is mapped in terms of seven functions—intelligence, promotion, prescription, invocation, application, termination, and appraisal; and (3) problem orientation, which comprises the intellectual tasks of clarifying goals, describing trends, analyzing conditions, projecting developments, and inventing, evaluating, and selecting alternatives. There is a more extensive core literature that also applies and can be visited at the policy sciences website: http://www.policysciences.org/classicworks.cfm. In addition to articles that explicitly utilize the policy sciences framework, Policy Sciences has a long tradition of publishing papers that draw on various aspects of that framework and its central theory as well as high quality conceptual pieces that address key challenges, opportunities, or approaches in ways congruent with the perspective that this journal strives to maintain and extend.Officially cited as: Policy Sci