Cargando…
Spatio-temporal evolution and influencing factors of China’s ICT service industry
The ICT service industry has become a burgeoning industry at a high and stable speed. Their equitable distribution can improve national and global positive peace. This paper aimed to verify the characteristics of spatio-temporal evolution and its influencing factors in the ICT service industry. Base...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272238/ https://www.ncbi.nlm.nih.gov/pubmed/37322078 http://dx.doi.org/10.1038/s41598-023-34994-z |
_version_ | 1785059451006353408 |
---|---|
author | Chen, Weixuan Zhang, Shiwei Kong, Dezhou Zou, Tong Zhang, Yuxi Cheshmehzangi, Ali |
author_facet | Chen, Weixuan Zhang, Shiwei Kong, Dezhou Zou, Tong Zhang, Yuxi Cheshmehzangi, Ali |
author_sort | Chen, Weixuan |
collection | PubMed |
description | The ICT service industry has become a burgeoning industry at a high and stable speed. Their equitable distribution can improve national and global positive peace. This paper aimed to verify the characteristics of spatio-temporal evolution and its influencing factors in the ICT service industry. Based on the data from 31 Provinces in China from 2015 to 2019, this paper uses location quotient, spatial autocorrelation methods and spatial econometric analysis to explore the development characteristics, evolution and influencing factors of the ICT service industry, respectively. The main results are shown as follows: (1) China's ICT service industry is mainly concentrated in Beijing, Shanghai, Zhejiang, Tibet, and Guangdong, with a trend of specialisation development. They are not only distributed in cities with relatively superior overall development but also those with superior industrial and development carrier elements. Technological relevance, aggregation, and political difference might have an impact on promoting the emergence and development of these industries. (2) ICT service industry is characterised by stable and highly concentrated development. Numbers between three to five significant provinces and types with high-high (HH) and high-low (HL) clusters of local spatio-temporal association kept stable in the period. The HH was in eastern coastal areas, including Zhejiang, Shanghai, Jiangsu, and Shandong, and the HL was in Guangdong in 2015. There is a definite spatial correlation in spatial distribution with constant strengthening. (3) TUR, NDN, MIAT and the area were shown to have a significant role in promoting the ICT service industry, while NW, GDP and ICT Employment were shown to have a significant negative impact on this industry. Correspondingly, two strategies were put forward here: (1) accelerating the inter-provincial networking development of the ICT service industry, and (2) strengthening government policy guidance for the ICT service industry. These outcomes can not only provide a scientific basis and theoretical support for the distribution of strategies and resources for these industries at the theoretical level but also improve resource integration from the national perspective and the efficiency of resource use at the practical level. |
format | Online Article Text |
id | pubmed-10272238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102722382023-06-17 Spatio-temporal evolution and influencing factors of China’s ICT service industry Chen, Weixuan Zhang, Shiwei Kong, Dezhou Zou, Tong Zhang, Yuxi Cheshmehzangi, Ali Sci Rep Article The ICT service industry has become a burgeoning industry at a high and stable speed. Their equitable distribution can improve national and global positive peace. This paper aimed to verify the characteristics of spatio-temporal evolution and its influencing factors in the ICT service industry. Based on the data from 31 Provinces in China from 2015 to 2019, this paper uses location quotient, spatial autocorrelation methods and spatial econometric analysis to explore the development characteristics, evolution and influencing factors of the ICT service industry, respectively. The main results are shown as follows: (1) China's ICT service industry is mainly concentrated in Beijing, Shanghai, Zhejiang, Tibet, and Guangdong, with a trend of specialisation development. They are not only distributed in cities with relatively superior overall development but also those with superior industrial and development carrier elements. Technological relevance, aggregation, and political difference might have an impact on promoting the emergence and development of these industries. (2) ICT service industry is characterised by stable and highly concentrated development. Numbers between three to five significant provinces and types with high-high (HH) and high-low (HL) clusters of local spatio-temporal association kept stable in the period. The HH was in eastern coastal areas, including Zhejiang, Shanghai, Jiangsu, and Shandong, and the HL was in Guangdong in 2015. There is a definite spatial correlation in spatial distribution with constant strengthening. (3) TUR, NDN, MIAT and the area were shown to have a significant role in promoting the ICT service industry, while NW, GDP and ICT Employment were shown to have a significant negative impact on this industry. Correspondingly, two strategies were put forward here: (1) accelerating the inter-provincial networking development of the ICT service industry, and (2) strengthening government policy guidance for the ICT service industry. These outcomes can not only provide a scientific basis and theoretical support for the distribution of strategies and resources for these industries at the theoretical level but also improve resource integration from the national perspective and the efficiency of resource use at the practical level. Nature Publishing Group UK 2023-06-15 /pmc/articles/PMC10272238/ /pubmed/37322078 http://dx.doi.org/10.1038/s41598-023-34994-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Chen, Weixuan Zhang, Shiwei Kong, Dezhou Zou, Tong Zhang, Yuxi Cheshmehzangi, Ali Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title | Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title_full | Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title_fullStr | Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title_full_unstemmed | Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title_short | Spatio-temporal evolution and influencing factors of China’s ICT service industry |
title_sort | spatio-temporal evolution and influencing factors of china’s ict service industry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272238/ https://www.ncbi.nlm.nih.gov/pubmed/37322078 http://dx.doi.org/10.1038/s41598-023-34994-z |
work_keys_str_mv | AT chenweixuan spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry AT zhangshiwei spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry AT kongdezhou spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry AT zoutong spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry AT zhangyuxi spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry AT cheshmehzangiali spatiotemporalevolutionandinfluencingfactorsofchinasictserviceindustry |