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Public Administration is the oldest journal in the field of public administration. Established in 19

08/10/2026

A Replication of “Your Money, Your Life, or Your Freedom? A Discrete Choice Experiment on Trade-Offs During a Public Health Crisis” by Binzizi D**g, Chung-An Chen, Soojin Kim, & Chih-Wei Hsieh finds that individuals across Shanghai, Singapore, and Taipei generally prioritize income over life and freedom during government-mandated lockdowns, but important differences emerge, with Taipei residents placing greater value on income and freedom and Singaporeans expressing stronger concerns about loss of life.

面对公共卫生危机，公民如何在金钱、生命与自由之间取舍？本文在上海、新加坡与
台北复制 Bellè 与 Cantarelli 的意大利实验，发现总体呈现“金钱 > 生命 > 自由”的偏好
排序，同时揭示儒家社会内部重要的制度与文化差异。

https://doi.org/10.1111%2Fpadm.70099

06/10/2026

"A Replication of “It is Not Merely About the Content: How Rules Are Communicated Matters to Administrative Burden”" by Qi Bian, Luning Xin, & Ben Ma finds that bureaucratic language and complex rule structures increase administrative burden, while AI-enabled services, especially those that simplify and prioritize information, can significantly reduce learning, compliance, and psychological costs for citizens.

https://doi.org/10.1111%2Fpadm.70097

30/09/2026

"Regulatory Capture, Public Trust and Pro-Environmental Behaviors" by Songsong Chen & Jianhua Xu finds that perceived regulatory capture is associated with lower trust in both local and central government and reduced public-facing pro-environmental behaviors, highlighting broader consequences of capture for public trust and civic behavior.

清华学者陈颂颂和北大学者徐建华在《监管俘获、政府信任与亲环境行为》一文中发现，公众的监管俘获感知影响其对政府的信任及其亲环境行为，但这种关联因监管俘获机制、信任对象和行为领域的不同而有所差异。

https://doi.org/10.1111%2Fpadm.70096

29/09/2026

"The Right Key for the Right Lock: How Government Response Methods and Demand Types Affect Citizen Satisfaction" by Na Tang, Wenjia Huang, Nana Huang, & Mengyao Zhang finds that AI-enabled government responses can increase citizen satisfaction compared with traditional approaches, with the effects varying by the type of citizen request and shaped by perceptions of fairness and prior participation experience.

https://doi.org/10.1111%2Fpadm.70095

28/09/2026

"From Civic Tech to DOGE: The Role of Tech Movements in the American Administrative State" by Donald Moynihan argues that civic tech and DOGE represent contrasting approaches to technology-driven government reform: civic tech emphasizes public service, human-centered design, and building state capacity, while DOGE pursued rapid federal downsizing through outsider technologists with substantial authority.

https://doi.org/10.1111%2Fpadm.70094

22/09/2026

"Inspired to Serve: Exposure to Moral Models to Enhance Public Service Motivation" by Xiaoyu Wang, James Perry, Yuming Wang, Dingxiang Chen, & Bangcheng Liu finds that exposure to moral exemplars in public-sector training can strengthen public service motivation by inspiring moral elevation, with particularly strong motivational benefits for employees experiencing greater cognitive demands.

https://doi.org/10.1111%2Fpadm.70091

21/09/2026

"Responsible Algorithmization in the Public Sector: A “Natural Perspective” Based on Ethnographic Research in Regulation, Policing, and Healthcare" by Albert Meijer, Lukas Lorenz, Isabelle Donatz-Fest, & Jan-Luuk Hoff finds that responsible algorithmization requires more than formal rules and procedures because public-sector algorithm use is an emergent, political, and fragmented process, requiring active responsibility to safeguard public values in practice.

https://doi.org/10.1111%2Fpadm.70092

18/09/2026

"A Public Values Framework for AI Governance: Evidence From US Federal AI Policymaking" by Ogadinma Enwereazu, Kaylyn Jackson Schiff, Tyler Girard, Alexander Wilhelm, & Daniel Schiff finds that U.S. federal AI policies frequently emphasize individual rights, the common good, and accountability, but give less attention to public values such as citizen engagement, workplace standards, and responsiveness, highlighting potential gaps in public-sector AI governance.

https://doi.org/10.1111/padm.70079

15/09/2026

"How Were Governance Pathways Formed for Public Service Co-Production? A Contingency Perspective" by Huanming Wang & Bing Ran finds that co-production arrangements emerge through different state- and citizen-led pathways shaped by provider capabilities, citizen empowerment, political leadership, and the characteristics of public services.

https://doi.org/10.1111%2Fpadm.70089

10/09/2026

"How Artificial Intelligence Facilitates Collaborative Governance? Research on Mechanisms and Multi-Dimensional Effects Based on Triple Entities" by Zhuocheng Lu, Fei Fan, Zhennan Yang, & Song Wang finds that AI can strengthen collaborative governance by advancing digital government, increasing corporate transparency, and improving public knowledge, helping multiple stakeholders work together more effectively to address complex public problems.

https://doi.org/10.1111%2Fpadm.70090

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