Proceedings of the 3rd International Conference on Economy, Management and Entrepreneurship (ICOEME 2020)

Empirical Analysis on the Development Level of Sichuan High-tech Service Industry

Authors
Can Wang
Corresponding Author
Can Wang
Available Online 8 September 2020.
DOI
10.2991/aebmr.k.200908.038How to use a DOI?
Keywords
Sichuan province, high-tech service industry, clustering, spatial distribution
Abstract

In order to do a good job of the comprehensive development of Sichuan’s high-tech service industry, this paper first builds an evaluation index system from the four dimensions of basic resources, high-tech input, market share and service output. Then the system clustering method is used to cluster the high-tech service industry in the province. The results are clustered into four categories and the clustering effect is obvious. At last, the spatial distribution of each category is analyzed, and the spatial relationship between each category and transportation distance and population density is discussed. At the same time, policy recommendations for further development are proposed.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Economy, Management and Entrepreneurship (ICOEME 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
8 September 2020
ISBN
978-94-6239-052-2
ISSN
2352-5428
DOI
10.2991/aebmr.k.200908.038How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Can Wang
PY  - 2020
DA  - 2020/09/08
TI  - Empirical Analysis on the Development Level of Sichuan High-tech Service Industry
BT  - Proceedings of the 3rd International Conference on Economy, Management and Entrepreneurship (ICOEME 2020)
PB  - Atlantis Press
SP  - 235
EP  - 238
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200908.038
DO  - 10.2991/aebmr.k.200908.038
ID  - Wang2020
ER  -