Evidence map›Paper›PMID 40401052›Full record

ArticleFrontiers in public health2025

Coupled coordination relationship and enhancement path between digital economy and essential public health services in China.

Kunyu Chen, Qunshan Tao, Yang Wang, Zili Ding, Rui Fu

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kunyu ChenSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Qunshan TaoSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Yang WangSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Zili DingSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Rui FuSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The coordinated development of the digital economy and essential public health services is a critical issue for advancing the Healthy China initiative and promoting health equity. However, existing policy frameworks exhibit significant shortcomings in the design of cross-system collaborative governance tools and regional adaptability, thereby constraining the implementation effectiveness of the "digital health" strategy. Methods: This study constructs an evaluation index system for the digital economy and essential public health services based on panel data from 30 Chinese provinces from 2012 to 2021. By employing a coupling coordination model and dynamic fuzzy-set qualitative comparative analysis (fsQCA), this study systematically reveals the interaction mechanisms and optimization pathways between the two systems. Results: The key findings are as follows: (1) Temporal Trends: The degree of coupling coordination has undergone a phased transition from "on the verge of disorder" to "primary coordination." However, the overall growth remains limited, indicating an urgent need to shift from a "scale expansion" model to a "quality-driven" approach. (2) Spatial Patterns: A distinct regional disparity is observed, characterized by an "eastern leading, central catching up, and western lagging behind" pattern. Notably, 80% of provinces in central and western China remain constrained by digital economy-induced maladaptation. (3) Spatial Correlation: The coupling coordination degree exhibits significant positive spatial clustering characteristics. Provinces such as Anhui and Hubei in central China have achieved leapfrog development by leveraging technological spillovers. (4) Driving Mechanisms: The fsQCA results identify three distinct high-coordination configurations: the "digital infrastructure-driven" model in eastern China, the "government-human capital dual-driven" model in central China, and the "government-institutional environment synergy-driven" model in western China. Discussion: These findings underscore the necessity for region-specific development strategies that align with local resource endowments and contextual factors. By adopting differentiated policy pathways, provinces can effectively promote the coupling and coordinated development of essential public health services and the digital economy, ultimately fostering a high-quality and sustainable integration of the two systems.

Indexed as

Public HealthChinaconfiguration analysiscoupled coordinationdigital economicsessential public health servicesWSR methodology

Identifiers

PMID40401052
PMCPMC12092431

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.