{"title":"Analysis of the Coupled Coordination of Digital Economy and Public Health Services in China and Its Influencing Factors.","authors":"Kunyu Chen, Zili Ding, Qunshan Tao, Rui Fu, Wangwang Zhu","doi":"10.2147/RMHP.S508245","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The coordinated development of the digital economy and public health services is essential for integrating the \"Digital China\" and \"Healthy China\" strategies and accelerating the modernization of the public health system. However, substantial regional disparities persist, necessitating a systematic evaluation of the coupling and coordination between these two domains, along with the identification of key influencing factors to support evidence-based policymaking.</p><p><strong>Methods: </strong>This study utilizes panel data from 30 Chinese provinces spanning 2012-2021. The entropy-weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is employed to quantify the levels of digital economy development and public health services. A coupling coordination model is employed to evaluate the degree of coordinated development between these sectors, whereas a panel Tobit model serves to identify the key influencing factors.</p><p><strong>Results: </strong>The overall trajectory of China's digital economy and public health services exhibits an upward yet fluctuating trend. The degree of coupling coordination has progressed from a state of near imbalance to a marginally coordinated phase, although it remains relatively low. Spatially, the eastern regions exhibit a higher degree of coordination, whereas the central and western regions primarily experience imbalances characterized by a lagging digital economy. Furthermore, the coupling coordination degree demonstrates a significant spatial positive correlation. Economic development is identified as the primary driver of improved coordination, whereas factors such as population density and health status exert inhibitory effects to some extent.</p><p><strong>Conclusion: </strong>To enhance overall coordination and achieve regional balance, policymakers should tailor development strategies to local resource endowments, optimize the synergy between the digital economy and public health services, and refine collaborative mechanisms.</p>","PeriodicalId":56009,"journal":{"name":"Risk Management and Healthcare Policy","volume":"18 ","pages":"1651-1668"},"PeriodicalIF":2.7000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101459/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management and Healthcare Policy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/RMHP.S508245","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The coordinated development of the digital economy and public health services is essential for integrating the "Digital China" and "Healthy China" strategies and accelerating the modernization of the public health system. However, substantial regional disparities persist, necessitating a systematic evaluation of the coupling and coordination between these two domains, along with the identification of key influencing factors to support evidence-based policymaking.
Methods: This study utilizes panel data from 30 Chinese provinces spanning 2012-2021. The entropy-weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is employed to quantify the levels of digital economy development and public health services. A coupling coordination model is employed to evaluate the degree of coordinated development between these sectors, whereas a panel Tobit model serves to identify the key influencing factors.
Results: The overall trajectory of China's digital economy and public health services exhibits an upward yet fluctuating trend. The degree of coupling coordination has progressed from a state of near imbalance to a marginally coordinated phase, although it remains relatively low. Spatially, the eastern regions exhibit a higher degree of coordination, whereas the central and western regions primarily experience imbalances characterized by a lagging digital economy. Furthermore, the coupling coordination degree demonstrates a significant spatial positive correlation. Economic development is identified as the primary driver of improved coordination, whereas factors such as population density and health status exert inhibitory effects to some extent.
Conclusion: To enhance overall coordination and achieve regional balance, policymakers should tailor development strategies to local resource endowments, optimize the synergy between the digital economy and public health services, and refine collaborative mechanisms.
背景:数字经济与公共卫生服务协调发展,是整合“数字中国”和“健康中国”战略,加快推进公共卫生体系现代化的必然要求。然而,巨大的区域差异仍然存在,需要对这两个领域之间的耦合和协调进行系统评估,同时确定关键影响因素,以支持基于证据的政策制定。方法:本研究采用2012-2021年中国30个省份的面板数据。采用熵加权的TOPSIS (Order Preference by Similarity to Ideal Solution)方法量化数字经济发展水平和公共卫生服务水平。采用耦合协调模型评价各产业间的协调发展程度,采用面板Tobit模型识别关键影响因素。结果:中国数字经济和公共卫生服务的总体发展轨迹呈现上升但波动的趋势。耦合协调程度虽仍相对较低,但已从接近不平衡状态发展到边缘协调阶段。在空间上,东部地区表现出较高的协调程度,而中西部地区主要表现为数字经济滞后的不平衡。耦合协调度呈现显著的空间正相关关系。经济发展是促进协调的主要因素,而人口密度和健康状况等因素在一定程度上起抑制作用。结论:为加强统筹协调,实现区域平衡,政策制定者应根据地方资源禀赋调整发展战略,优化数字经济与公共卫生服务的协同效应,完善协同机制。
期刊介绍:
Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include:
Public and community health
Policy and law
Preventative and predictive healthcare
Risk and hazard management
Epidemiology, detection and screening
Lifestyle and diet modification
Vaccination and disease transmission/modification programs
Health and safety and occupational health
Healthcare services provision
Health literacy and education
Advertising and promotion of health issues
Health economic evaluations and resource management
Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.