Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)

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Using the Quantile Regression Model to Study the Impact of My Country’s Big Data, Artificial Intelligence and Blockchain on the Real Economy

Authors
Xiaohan Sun1, *
1Institute of Problem Solving, Beijing Jiaotong University, Jiaoda East Road, Beijing, China
*Corresponding author. Email: jyhzsjng@163.com
Corresponding Author
Xiaohan Sun
Available Online 10 November 2022.
DOI
10.2991/978-94-6463-005-3_54How to use a DOI?
Keywords
Artificial Intelligence; Real Economy; Internet+ Industry; Stata
Abstract

Based on the cross-sectional data of 162 cities in my country, this paper takes “Internet +” as the core explanatory variable, selects five control variables, and constructs a weighted least squares and quantile regression model to explore the impact on the real economy. The study found that the impact of “Internet +” on the real economy was significantly negative, and a “crowding-out effect” had occurred; under the conditions of different levels of the real economy, the “crowding-out effect” of “Internet +” was constant, but the degree of crowding out would vary. Marginal increase. Combined with the research results, relevant suggestions are put forward from the perspectives of how to develop the real economy in a healthy and effective manner and from the perspectives of big data, artificial intelligence, and blockchain serving the real economy, in order to promote better and faster development of the real economy. Fiscal and financial policies play a leading and safeguarding role in the real economy; give full play to the role of artificial intelligence’s weakened geographic location on the flow of factors and industrial agglomeration, accurately support the intelligence of local traditional advantageous real industries, and realize the continuous transformation of new and old kinetic energy for industrial development.

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 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
Series
Atlantis Highlights in Engineering
Publication Date
10 November 2022
ISBN
978-94-6463-005-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-005-3_54How 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  - Xiaohan Sun
PY  - 2022
DA  - 2022/11/10
TI  - Using the Quantile Regression Model to Study the Impact of My Country’s Big Data, Artificial Intelligence and Blockchain on the Real Economy
BT  - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
PB  - Atlantis Press
SP  - 542
EP  - 549
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-005-3_54
DO  - 10.2991/978-94-6463-005-3_54
ID  - Sun2022
ER  -