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Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021
The goal of deepening institutional reforms was to bring transparency and accountability, address corruption, and establish a clean government (CG) in China. The first step toward this transparency is considered to be the free development and transmission of Open Data (OD). In this regard, China has...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380900/ https://www.ncbi.nlm.nih.gov/pubmed/35983220 http://dx.doi.org/10.3389/fpsyg.2022.947388 |
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author | Xiaoyan, Du Ali, Majid Le, Xu Qian, Wu Xuelian, Gao |
author_facet | Xiaoyan, Du Ali, Majid Le, Xu Qian, Wu Xuelian, Gao |
author_sort | Xiaoyan, Du |
collection | PubMed |
description | The goal of deepening institutional reforms was to bring transparency and accountability, address corruption, and establish a clean government (CG) in China. The first step toward this transparency is considered to be the free development and transmission of Open Data (OD). In this regard, China has set up open data centers in provincial governments. Considering that OD can have an impact on CG and bring new ideas for CG construction, ODs of 31 provincial governments have been analyzed through fsQCA3.0 to test these assumptions. To see how much it can contribute to the development of the Technology Organization Environment Framework (TOE). To this end, between 2019 and 2021, 31 provincial government data have been clustered into low, medium, and high corruption case enrollment areas to determine the impact of OD. The study mentioned that improvements in ODs in 31 provinces could strengthen cooperation with the disciplinary inspection department in the fight against corruption. The study, on the other hand, made two assumptions that environmental barriers and internal pressures could affect data’s reliability. |
format | Online Article Text |
id | pubmed-9380900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93809002022-08-17 Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 Xiaoyan, Du Ali, Majid Le, Xu Qian, Wu Xuelian, Gao Front Psychol Psychology The goal of deepening institutional reforms was to bring transparency and accountability, address corruption, and establish a clean government (CG) in China. The first step toward this transparency is considered to be the free development and transmission of Open Data (OD). In this regard, China has set up open data centers in provincial governments. Considering that OD can have an impact on CG and bring new ideas for CG construction, ODs of 31 provincial governments have been analyzed through fsQCA3.0 to test these assumptions. To see how much it can contribute to the development of the Technology Organization Environment Framework (TOE). To this end, between 2019 and 2021, 31 provincial government data have been clustered into low, medium, and high corruption case enrollment areas to determine the impact of OD. The study mentioned that improvements in ODs in 31 provinces could strengthen cooperation with the disciplinary inspection department in the fight against corruption. The study, on the other hand, made two assumptions that environmental barriers and internal pressures could affect data’s reliability. Frontiers Media S.A. 2022-07-29 /pmc/articles/PMC9380900/ /pubmed/35983220 http://dx.doi.org/10.3389/fpsyg.2022.947388 Text en Copyright © 2022 Xiaoyan, Ali, Le, Qian and Xuelian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Xiaoyan, Du Ali, Majid Le, Xu Qian, Wu Xuelian, Gao Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title | Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title_full | Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title_fullStr | Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title_full_unstemmed | Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title_short | Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021 |
title_sort | impact of digitalization on clean governance: an analysis of china’s experience of 31 provinces from 2019 to 2021 |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380900/ https://www.ncbi.nlm.nih.gov/pubmed/35983220 http://dx.doi.org/10.3389/fpsyg.2022.947388 |
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