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Efficiency and optimization of government service resource allocation in a cloud computing environment

According to the connotation and structure of government service resources, data of government service resources in L city from 2019 to 2021 are used to calculate the efficiency of government service resource allocation in each county and region in different periods, particularly by adding the gover...

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Autores principales: Guo, Ya-guang, Yin, Qian, Wang, Yixiong, Xu, Jun, Zhu, Leqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911337/
https://www.ncbi.nlm.nih.gov/pubmed/36789367
http://dx.doi.org/10.1186/s13677-023-00400-2
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author Guo, Ya-guang
Yin, Qian
Wang, Yixiong
Xu, Jun
Zhu, Leqi
author_facet Guo, Ya-guang
Yin, Qian
Wang, Yixiong
Xu, Jun
Zhu, Leqi
author_sort Guo, Ya-guang
collection PubMed
description According to the connotation and structure of government service resources, data of government service resources in L city from 2019 to 2021 are used to calculate the efficiency of government service resource allocation in each county and region in different periods, particularly by adding the government cloud platform and cloud computing resources to the government service resource data and applying the data envelopment analysis (DEA) method, which has practical significance for the development and innovation of government services. On this basis, patterns and evolutionary trends of government service resource allocation efficiency in each region during the study period are analyzed and discussed. Results are as follows. i) Overall efficiency level in the allocation of government service resources in L city is not high, showing an increasing annual trend among the high and low staggering. ii) Relative difference of allocation efficiency of government service resources is a common phenomenon of regional development, the existence and evolution of which are the direct or indirect influence and reflection of various aspects, such as economic strength and reform effort. iii) Data analysis for the specific points indicates that increased input does not necessarily lead to increased efficiency, some indicators have insufficient input or redundant output. Therefore, optimization of the physical, human, and financial resource allocation methods; and the intelligent online processing of government services achieved by the adoption of government cloud platform and cloud computing resources are the current objective choices to realize maximum efficiency in the allocation of government service resources.
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spelling pubmed-99113372023-02-10 Efficiency and optimization of government service resource allocation in a cloud computing environment Guo, Ya-guang Yin, Qian Wang, Yixiong Xu, Jun Zhu, Leqi J Cloud Comput (Heidelb) Research According to the connotation and structure of government service resources, data of government service resources in L city from 2019 to 2021 are used to calculate the efficiency of government service resource allocation in each county and region in different periods, particularly by adding the government cloud platform and cloud computing resources to the government service resource data and applying the data envelopment analysis (DEA) method, which has practical significance for the development and innovation of government services. On this basis, patterns and evolutionary trends of government service resource allocation efficiency in each region during the study period are analyzed and discussed. Results are as follows. i) Overall efficiency level in the allocation of government service resources in L city is not high, showing an increasing annual trend among the high and low staggering. ii) Relative difference of allocation efficiency of government service resources is a common phenomenon of regional development, the existence and evolution of which are the direct or indirect influence and reflection of various aspects, such as economic strength and reform effort. iii) Data analysis for the specific points indicates that increased input does not necessarily lead to increased efficiency, some indicators have insufficient input or redundant output. Therefore, optimization of the physical, human, and financial resource allocation methods; and the intelligent online processing of government services achieved by the adoption of government cloud platform and cloud computing resources are the current objective choices to realize maximum efficiency in the allocation of government service resources. Springer Berlin Heidelberg 2023-02-10 2023 /pmc/articles/PMC9911337/ /pubmed/36789367 http://dx.doi.org/10.1186/s13677-023-00400-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Guo, Ya-guang
Yin, Qian
Wang, Yixiong
Xu, Jun
Zhu, Leqi
Efficiency and optimization of government service resource allocation in a cloud computing environment
title Efficiency and optimization of government service resource allocation in a cloud computing environment
title_full Efficiency and optimization of government service resource allocation in a cloud computing environment
title_fullStr Efficiency and optimization of government service resource allocation in a cloud computing environment
title_full_unstemmed Efficiency and optimization of government service resource allocation in a cloud computing environment
title_short Efficiency and optimization of government service resource allocation in a cloud computing environment
title_sort efficiency and optimization of government service resource allocation in a cloud computing environment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911337/
https://www.ncbi.nlm.nih.gov/pubmed/36789367
http://dx.doi.org/10.1186/s13677-023-00400-2
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