Analysis on the Efficiency of Health Care Service Delivery and Influencing Factors in China: A Study Based on DEA-Malmquist Index and Tobit Model

Analysis on the Efficiency of Health Care Service Delivery and Influencing Factors in China: A Study Based on DEA-Malmquist Index and Tobit Model | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Analysis on the Efficiency of Health Care Service Delivery and Influencing Factors in China: A Study Based on DEA-Malmquist Index and Tobit Model Kui Chen, Jun Ye This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-123126/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective : To evaluate the changeing trend and influencing factors of medical and health service supply efficiency in 31 provinces of China. Methods: According to the input-output relevant index data of medical and health service in China from 2009 to 2018, data envelopment analysis- Malmquist(DEA-Malmquist) was used to calculate the total factor productivity, technical efficiency, and technical change. Meanwhile, Tobit model to analyzed the main effective factors of medical and health service supply efficiency in China Results: In 2018, 21 provinces including Beijing, Shanghai, Zhejiang and Guangdong were effective in DEA of China's medical and health supply efficiency. Jilin, Heilongjiang, Jiangsu and Shandong were weak DEA effective, while Shanxi, Inner Mongolia, Liaoning, Anhui, Fujian and Xinjiang were not DEA effective. From 2009 to 2018, the total factor productivity of China's medical and health service supply has been decreased steadily, which was mainly affected by technological changes. From the perspective of regions, the technical efficiency and pure technical efficiency of medical and health service supply was the highest in the east, followed by the central and the western region. Associate’s degree or above, gross regional domestic product, and health care expenditure were significantly associated with the increasing of medical and health service supply efficiency. Conclusions: According to their own conditions and constraints, all localities should take targeted measures to strengthen the allocation and management level of medical and health resources, promote technological progress, give full play to the role of education and economic development, increase the expenditure on medical and health care, improve the utilization rate of beds, shorten the average hospitalization days, effectively improve the efficiency of medical and health services supply, and better provide health care for people. Health Economics & Outcomes Research Health Policy Health care services data envelopment analysis Malmquist index Tobit model supply efficiency Full Text Supplementary Files TobitData.xls DEAData.xls Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-123126","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":6286188,"identity":"a06d1396-fb23-4062-8484-53d5cf98120e","order_by":0,"name":"Kui Chen","email":"","orcid":"","institution":"First Affiliated Hospital of Anhui Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Kui","middleName":"","lastName":"Chen","suffix":""},{"id":6286189,"identity":"2419a18d-210e-4366-a6de-c79582b4d40a","order_by":1,"name":"Jun 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efficiency","lastPublishedDoi":"10.21203/rs.3.rs-123126/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-123126/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eObjective\u003c/strong\u003e: To evaluate the changeing trend and influencing factors of medical and health service supply efficiency in 31 provinces of China.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eAccording to the input-output relevant index data of medical and health service in China from 2009 to 2018, data envelopment analysis- Malmquist(DEA-Malmquist) was used to calculate the total factor productivity, technical efficiency, and technical change. Meanwhile, Tobit model to analyzed the main effective factors of medical and health service supply efficiency in China\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e In 2018, 21 provinces including Beijing, Shanghai, Zhejiang and Guangdong were effective in DEA of China's medical and health supply efficiency. Jilin, Heilongjiang, Jiangsu and Shandong were weak DEA effective, while Shanxi, Inner Mongolia, Liaoning, Anhui, Fujian and Xinjiang were not DEA effective. From 2009 to 2018, the total factor productivity of China's medical and health service supply has been decreased steadily, which was mainly affected by technological changes. From the perspective of regions, the technical efficiency and pure technical efficiency of medical and health service supply was the highest in the east, followed by the central and the western region. 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