{"title":"引导论坛参与的多层次封闭结构理论化","authors":"Harrison Fried, Matthew Hamilton, Ramiro Berardo","doi":"10.1093/jopart/muac042","DOIUrl":null,"url":null,"abstract":"Understanding how stakeholders choose to participate in different policy forums is central to research on complex, polycentric governance systems. In this paper, we draw upon the Ecology of Games Theory (EGT) to develop theoretical expectations about how four incentive structures may guide how actors navigate the world of policy forums. We test these expectations using unique data on a three-mode network of actors, forums, and issues related to climate change adaption in the state of Ohio, in the U.S. Midwest. Results of an exponential random graph model suggest that multilevel closure structures, which are a function of transaction costs and direct benefits, guide actors’ forum participation in ways that can either reinforce sub-optimal, ineffective governance arrangements, or conversely, encourage opportunities for innovation, increase diversity in representation, and facilitate policy learning. From a methodological standpoint, our research highlights the benefits of examining complex governance systems through the more precise approach allowed by three-mode network analysis, which has not been frequently used in research on polycentric governance systems up to this point.","PeriodicalId":48366,"journal":{"name":"Journal of Public Administration Research and Theory","volume":"40 3","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Theorizing Multilevel Closure Structures Guiding Forum Participation\",\"authors\":\"Harrison Fried, Matthew Hamilton, Ramiro Berardo\",\"doi\":\"10.1093/jopart/muac042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding how stakeholders choose to participate in different policy forums is central to research on complex, polycentric governance systems. In this paper, we draw upon the Ecology of Games Theory (EGT) to develop theoretical expectations about how four incentive structures may guide how actors navigate the world of policy forums. We test these expectations using unique data on a three-mode network of actors, forums, and issues related to climate change adaption in the state of Ohio, in the U.S. Midwest. Results of an exponential random graph model suggest that multilevel closure structures, which are a function of transaction costs and direct benefits, guide actors’ forum participation in ways that can either reinforce sub-optimal, ineffective governance arrangements, or conversely, encourage opportunities for innovation, increase diversity in representation, and facilitate policy learning. From a methodological standpoint, our research highlights the benefits of examining complex governance systems through the more precise approach allowed by three-mode network analysis, which has not been frequently used in research on polycentric governance systems up to this point.\",\"PeriodicalId\":48366,\"journal\":{\"name\":\"Journal of Public Administration Research and Theory\",\"volume\":\"40 3\",\"pages\":\"\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Public Administration Research and Theory\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1093/jopart/muac042\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Public Administration Research and Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/jopart/muac042","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
Theorizing Multilevel Closure Structures Guiding Forum Participation
Understanding how stakeholders choose to participate in different policy forums is central to research on complex, polycentric governance systems. In this paper, we draw upon the Ecology of Games Theory (EGT) to develop theoretical expectations about how four incentive structures may guide how actors navigate the world of policy forums. We test these expectations using unique data on a three-mode network of actors, forums, and issues related to climate change adaption in the state of Ohio, in the U.S. Midwest. Results of an exponential random graph model suggest that multilevel closure structures, which are a function of transaction costs and direct benefits, guide actors’ forum participation in ways that can either reinforce sub-optimal, ineffective governance arrangements, or conversely, encourage opportunities for innovation, increase diversity in representation, and facilitate policy learning. From a methodological standpoint, our research highlights the benefits of examining complex governance systems through the more precise approach allowed by three-mode network analysis, which has not been frequently used in research on polycentric governance systems up to this point.
期刊介绍:
The Journal of Public Administration Research and Theory serves as a bridge between public administration or public management scholarship and public policy studies. The Journal aims to provide in-depth analysis of developments in the organizational, administrative, and policy sciences as they apply to government and governance. Each issue brings you critical perspectives and cogent analyses, serving as an outlet for the best theoretical and research work in the field. The Journal of Public Administration Research and Theory is the official journal of the Public Management Research Association.