Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Measurement and Spatio-Temporal Differentiation of Common Prosperity Level in China

Evidence From the Analysis of Location-Based Big Data

Authors
Qianqian Zhang1, *, Meng Li1
1School of Business Administration, Shandong Women’s University, Jinan, 250300, China
*Corresponding author. Email: 601150323@qq.com
Corresponding Author
Qianqian Zhang
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_69How to use a DOI?
Keywords
common prosperity; level measurement; spatial-temporal pattern; location-based big data
Abstract

This paper constructs an evaluation index system from the dimensions of affluence and common degree, and uses entropy-TOPSIS method to measure the common affluence level of China’s provinces during 2016–2020. Based on Dagum Gini coefficient, Moran index and effect model, regional differences, spatio-temporal evolution and convergence steady state were analyzed. The results show that: ① Education expenditure has a negative effect on affluence, but the regression coefficient of the interaction between per capita GDP and education expenditure is significantly positive; ② In the original model, the influence of science and technology expenditure on affluence is not significant, but the influence of science and technology expenditure becomes significantly positive after the interaction effect between research expenditure and unemployment rate is added; ③ In the interaction effects, it is found that the interaction terms containing unemployment rate are significant, and all are negative effects. Based on the research conclusions, this paper puts forward suggestions from the aspects of governance means, development patterns, and financial system. Trying to provide relevant policy suggestions for the government.

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 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_69How 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  - Qianqian Zhang
AU  - Meng Li
PY  - 2023
DA  - 2023/08/10
TI  - Measurement and Spatio-Temporal Differentiation of Common Prosperity Level in China
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 669
EP  - 676
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_69
DO  - 10.2991/978-94-6463-198-2_69
ID  - Zhang2023
ER  -