Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)

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Research on “Big Data+” Public Health Service Efficiency of Heilongjiang Provincial and Municipal Governments

Based on DEA Model

Authors
Defa Cai1, Yurou Guo1, *
1Harbin University of Commerce, Harbin, Heilongjiang, China
*Corresponding author. Email: 1693922949@qq.com
Corresponding Author
Yurou Guo
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-016-9_26How to use a DOI?
Keywords
Heilongjiang Province; prefecture-level government; big data+; DEA model; public health service
Abstract

In recent years, with the deepening of big data research and application, the medical and health field is also actively exploring. This paper uses the DEA-BCC model and the DEA-Malmquist model to measure the public health service efficiency of 13 prefecture-level municipal governments in Heilongjiang Province during the “Thirteenth Five-Year Plan” period, and finds that scale efficiency is the first cause, and Yichun has an increasing state 2 prefecture-level cities, Qitaihe, Daxinganling and 1 regional administration, and technical efficiency and technological progress efficiency are important binding factors, with growth rates of 0.2% and 0.35%. Research shows that there is still a lot of room for improvement in the efficiency of public health services of prefecture-level municipal governments in Heilongjiang Province. To promote the increase of the Malmquist total factor productivity index of public health services of municipal governments, it is possible to ensure the accurate supply of government public health services and improve government public health services. Effectiveness of service, improve the level of government public service.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 December 2022
ISBN
10.2991/978-94-6463-016-9_26
ISSN
2589-4900
DOI
10.2991/978-94-6463-016-9_26How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Defa Cai
AU  - Yurou Guo
PY  - 2022
DA  - 2022/12/07
TI  - Research on “Big Data+” Public Health Service Efficiency of Heilongjiang Provincial and Municipal Governments
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 227
EP  - 238
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_26
DO  - 10.2991/978-94-6463-016-9_26
ID  - Cai2022
ER  -