Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Comprehensive evaluation of the principal components of the key industrial chain development

Authors
Bin Bai1, Xiaofeng Miao2, Yu Ma3, Zhaoyu Tang1, Shengpeng Li4, *
1International Business School, Tianjin Foreign Studies University, Tianjin, China
2Inner Mongolia Big data Center, Huhehot, Inner Mongolia, China
3Inner Mongolia Market Supervision Bureau, Huhehot, Inner Mongolia, China
4School of General Education, Tianjin Foreign Studies University, Tianjin, China
*Corresponding author. Email: li_shengpeng@tjfsu.edu.cn
Corresponding Author
Shengpeng Li
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_16How to use a DOI?
Keywords
comprehensive evaluation; principal components; industrial chain
Abstract

In order to systematically plan, scientifically study and judge and prudently determine the key direction, goal and path of Inner Mongolia industrial transformation and development, lay a good foundation and pave the way for the future transformation. Based on the registration data and regulatory data of market entities, supplemented by the tax payment data, revenue data and profit data of the tax authorities, the evaluation index system of 10 key industrial chains is established to calculate the comprehensive evaluation value of the principal components from 2016 to 2021. From 2016 to 2021, except for the modern coal chemical industry chain, the ten industrial chains are basically increasing year by year, and the increase rate is not much different, indicating that the key development of these industrial chains has achieved initial results. We will continue to give priority to ecology and promote green development in promoting industrial transformation and upgrading, and adjust and upgrade the industrial structure.

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 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
10.2991/978-94-6463-276-7_16
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_16How 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  - Bin Bai
AU  - Xiaofeng Miao
AU  - Yu Ma
AU  - Zhaoyu Tang
AU  - Shengpeng Li
PY  - 2023
DA  - 2023/10/27
TI  - Comprehensive evaluation of the principal components of the key industrial chain development
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 133
EP  - 141
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_16
DO  - 10.2991/978-94-6463-276-7_16
ID  - Bai2023
ER  -