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Longitudinal data on China’s central apparatus from 2005 to 2020 are analyzed together with designed networks constructed from 1243 joint tasks arranged by the State Council using event history analysis. Results show centralized positions reduce termination likelihood, while peripheral positions lower survival chances during restructuring.",{"@graph":69,"@context":121},[70,84,104],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/where-you-are-matters-network-position-designed-network-and-central-government-agency-termination/618636/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/where-you-are-matters-network-position-designed-network-and-central-government-agency-termination/618636.png","ImageObject",300,407,{"name":92,"@type":93},"RuangKosong","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-19",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What is the main research question of the study?","Question",{"text":111,"@type":112},"The study investigates how agencies’ positions in designed networks influence their likelihood of termination and survival probability.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"What data and method are used to test the hypotheses?",{"text":116,"@type":112},"It uses longitudinal data on China’s central apparatus from 2005 to 2020 and designed networks derived from 1243 State Council joint tasks, analyzed with event history analysis.",{"name":118,"@type":109,"acceptedAnswer":119},"How does network centrality affect termination probability?",{"text":120,"@type":112},"A centralized network position significantly reduces an agency’s likelihood of termination.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},618636,1792449672,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":26},962090883219,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Received: 4 January 2024 Revised: 16 July 2024 Accepted: 19 July 2024  \nDOI: 10.1111/padm.13026  \nWhere you are matters: Network position, designed network, and central government agency termination  \nLiang Ma 1 | Weixing Liu 2  | Sicheng Chen 3  | Tom Christensen 4,5   \n1School of Public Administration and Policy, Renmin University of China, Beijing, China 2School of Government, University of International Business and Economics, Beijing, China 3School of Public Policy and Management, Tsinghua University, Beijing, China 4Department of Political Science, University of Oslo, Oslo, Norway  \n5Distinguished Visiting Professor, School of Public Policy and Management, Tsinghua University, Beijing, China  \nCorrespondence  \nSicheng Chen, School of Public Policy and Management, Tsinghua University, Beijing, China.  \nEmail: [scchen@tsinghua.edu.cn](scchen@tsinghua.edu.cn)  \nFunding information  \nNational Natural Science Foundation of China, Grant/Award Numbers: 72374124, 72274203, 72293571; Tsinghua University Initiative Scientific Research Program, Grant/Award Number: 2023THZWJC23; National Social Science Fund of China, Grant/Award Number: 23&ZD080  \nAbstract  \nThis study synthesizes insights from collaborative network and agency termination theories to investigate how agencies' positions in designed networks impact their survival probability. Using longitudinal data for the central apparatus in China from 2005 to 2020, along with the designed networks derived from 1243 joint tasks arranged by the State Council, we conducted event history analyses to test our hypotheses. Our findings suggest that a centralized network position can significantly reduce an agency's likelihood of termination, while agencies in the periphery of designed networks may be less likely to survive significant restructuring. It is also discovered that stronger agencies, such as larger, economically functioning, or statutorily created ones, benefit more from centralized network positions. These findings underscore the pivotal role played by agencies'positions within designed networks in their survival prospects. As such, agencies should strategically leverage their positions within collaborative networks to mitigate the risk of termination.  \nChinese Abstract  \n本研究综合协作网络理论和机构终止理论的见解,探讨部委机构在设计合作网络中的位置如何影响其生存概率。 通过使用 2005年至2020年间中国中央部委机构变迁的数据,以及由国  \nPublic Admin. 2025;103:417–440.  \n[wileyonlinelibrary.com/journal/padm](wileyonlinelibrary.com/journal/padm)  \n© 2024 John Wiley & Sons Ltd.  \n417  \n务院安排的1243个联合任务所衍生的设计网络,我们进行事件史分析以检验研究的假设。研究结果表明,若部委机构处于设计网络的中心位置能够显著降低机构被终止的概率,而处于设计网络边缘的机构在重大机构改革中生存的可能性较低。研究还发现,较强势的机构(比如规模较大、具有经济职能或者由立法机构法定创建),更能从中心化的设计网络位置中受益。这些发现突显部委机构在设计网络中的位置对其生存前景的关键影响。 因此, 部委机构应战略性地改善它们在国务院任务安排中设计网络的位置,以降低其被终止的风险。  \n1 | INTRODUCTION  \nIn the intricate realm of public administration and governance, networks play a pivotal role in enabling collaboration and resource sharing among various agencies (Siciliano, Carr, & Hugg, 2021; Siciliano, Wang, & Medina, 2021) . The strategic positions of agencies within these networks are crucial (Hu et al., 2022) . Particularly in designed networks, which are characterized by clear goals, top-down management, and well-defined membership boundaries (Yi et al., 2022), understanding the structural properties of nodes is essential for optimizing resource allocation and achieving desired collaborative outcomes (Whetsell et al., 2020) . Simultaneously, the dynamic landscape of public management emphasizes the practical and theoretical importance of agency termination (Chen et al., 2023; Kleizen & MacCarthaigh, 2023) . As organizations evolve or become misaligned with current needs, agency termination emerges as a crucial mechanism for reallocating resources efficiently and aligning governmental operations with contemporary challenges (B. J. Carroll et al., 2022; J. Fleischer et al., 2022) . Despite the extensive literature on the drivers of agency termination, the influence of an agency's position within a designed netw","cbCaiv9014cUHHPQ","https://ap.wps.com/l/cbCaiv9014cUHHPQ","pdf",2581931,24,"English","# Abstract\n# Introduction","[{\"question\":\"What is the main research question of the study?\",\"answer\":\"The study investigates how agencies’ positions in designed networks influence their likelihood of termination and survival probability.\"},{\"question\":\"What data and method are used to test the hypotheses?\",\"answer\":\"It uses longitudinal data on China’s central apparatus from 2005 to 2020 and designed networks derived from 1243 State Council joint tasks, analyzed with event history analysis.\"},{\"question\":\"How does network centrality affect termination probability?\",\"answer\":\"A centralized network position significantly reduces an agency’s likelihood of termination.\"}]","Where you are matters - Network position, designed network, and central government agency termination | PDF"]