Forged through forces: configurations to digital policy attention in local governments

Although governments’ digital policy attention is pivotal for effective digital governance, the mechanisms shaping attention remain insufficiently understood. Drawing on an integrated view of institutional environment, task environment, and resource endowment, we analyse 272 Chinese prefecture-level cities using a hybrid fsQCA – regression method to examine how multiple conditions jointly shape attention to digital transformation. We find that normative pressure, fiscal capacity, economic conditions, and digital infrastructure provide the foundation for high policy attention. Beyond this base, we identify three configurations across these dimensions: capability alignment, where leaders with technocratic backgrounds and digital culture jointly foster endogenous commitment; pressure compliance, where coercive, mimetic, and normative pressures jointly drive policy attention; and peer learning adaptation, where governments enhance attention through horizontal emulation when top-down mandates are weak. Regression analyses show that pressure compliance exerts the strongest influence on digital policy attention. These findings reveal configurational dynamics underlying digital governance.

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Publication Details

Journal
Public Management Review
Published
2026-06-29
DOI
https://doi.org/10.1080/14719037.2026.2690239
Primary Topic
Policy Transfer and Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Forged through forces: configurations to digital policy attention in local governments

G Wang, Tao Wang, Liumiao Qin, Chen Zhong
Public Management Review
Policy Transfer and Learning
article

Forged through forces: configurations to digital policy attention in local governments

G Wang, Tao Wang, Liumiao Qin, Chen Zhong
article en

Abstract

Although governments’ digital policy attention is pivotal for effective digital governance, the mechanisms shaping attention remain insufficiently understood. Drawing on an integrated view of institutional environment, task environment, and resource endowment, we analyse 272 Chinese prefecture-level cities using a hybrid fsQCA – regression method to examine how multiple conditions jointly shape attention to digital transformation. We find that normative pressure, fiscal capacity, economic conditions, and digital infrastructure provide the foundation for high policy attention. Beyond this base, we identify three configurations across these dimensions: capability alignment, where leaders with technocratic backgrounds and digital culture jointly foster endogenous commitment; pressure compliance, where coercive, mimetic, and normative pressures jointly drive policy attention; and peer learning adaptation, where governments enhance attention through horizontal emulation when top-down mandates are weak. Regression analyses show that pressure compliance exerts the strongest influence on digital policy attention. These findings reveal configurational dynamics underlying digital governance.

Public Management Review
Tongji University (CN), Institute on Governance (CA), Chongqing University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Policy Transfer and Learning
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