PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 23, 2026Public Administration Review0 citations

Conditional Embeddedness: Local Government Attention Under Institutional Incentives

View Full Paper
JWJiali WangJZJunming ZhuHDHuibin Du

Key Points

  • The study aims to understand the factors influencing local government attention and the role of different contexts in shaping this attention.
  • Developed a conditional embeddedness framework to analyze local agents' attention.
  • Examined the attentional responses of 328 prefecture-level governments in response to an environmental reform in China.
  • Analyzed how promotion competition and local political contexts moderate government attention.
  • Local government attention generally increases following the environmental reform.
  • Variations in attention are influenced by factors such as promotion competition and firm dominance.
  • Mayors' education and work experience further moderate these attentional responses.

Abstract

ABSTRACT Government attention is crucial to policy change and outcome. For local agents, their attention is explained by various factors, and a thorough understanding is needed to integrate diverse perspectives. Combining vertical, horizontal, local, and personal influences, we formulate a conditional embeddedness framework for local agents. The framework explains that agents' attention is primarily directed by principals, but this directed shift is horizontally and locally shaped by political and economic contexts, conditional on agents' traits. Empirically, we test attentional responses of 328 prefecture‐level governments to an environmental reform in China. Results corroborate our hypotheses, showing that local government attention generally increases following a reform, but the increases vary due to promotion competition and firm dominance and are further moderated by mayors' education and work experience. The findings demonstrate the importance of interactions between contextual and individual features in the shifts of local government attention and their responsiveness in a principal‐agent relationship.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69e9ba6b85696592c86eca95https://doi.org/10.1111/puar.70131
Ask AI
Helpful
Bookmark
Share
View Full Paper