Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022)

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Understand the Key Factors and Combination Paths of Chinese Government Data Governance Performance

Authors
Hongzhu Lei1, *, Hui Cheng1, Huan Gong1
1School of Public Administration, Sichuan University, Chengdu, China
*Corresponding author. Email: 794622665@qq.com
Corresponding Author
Hongzhu Lei
Available Online 16 December 2022.
DOI
10.2991/978-2-494069-45-9_7How to use a DOI?
Keywords
data governance; Chinese government; key factors; path analysis
Abstract

Countries around the world attach great importance to the performance of government data governance. However, existing research has not established a systematic analysis framework, and the interpretation of government data governance performance is limited. Therefore, from the perspective of institutional theory, public value theory and resource-based theory, this paper constructs an analytical framework for value goals, institutional environment and government capacity, and uses data service utilization variables, policy environment support, public demand pressure, government financial capacity and Leadership is highly valued as a condition variable. The fuzzy set qualitative comparison method is used to analyze the configuration of 31 provincial-level government data governance cases in China. The study finds that the performance of government data governance is affected by multiple factors, including three types of leadership-demand, system-goal, and comprehensive driving. The class combination path promotes high performance of government data, while the non-high performance 3-class generation mechanism is completely different.

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 Modern Educational Technology and Social Sciences (ICMETSS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
16 December 2022
ISBN
10.2991/978-2-494069-45-9_7
ISSN
2352-5398
DOI
10.2991/978-2-494069-45-9_7How 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  - Hongzhu Lei
AU  - Hui Cheng
AU  - Huan Gong
PY  - 2022
DA  - 2022/12/16
TI  - Understand the Key Factors and Combination Paths of Chinese Government Data Governance Performance
BT  - Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022)
PB  - Atlantis Press
SP  - 53
EP  - 60
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-45-9_7
DO  - 10.2991/978-2-494069-45-9_7
ID  - Lei2022
ER  -