Data Analysis of the Impact of Income and Geographical Location on the Chinese People’s Happiness Index
Authors
Yinhao Liu1, Meili Liu2, Jeng-Eng Lin3, Chun-Te Lee4, *
1Department of Computer Science, Wenzhou Kean University, Wenzhou, Zhejiang, China
2Institute of Artificial Intelligence, Midea Group, Shenzhen, China
3Department of Mathematical Sciences, George Mason University, Washington DC, USA
4Department of Mathematics, Wenzhou Kean University, Wenzhou, Zhejiang, China
*Corresponding author.
Email: chulee@kean.edu
Corresponding Author
Chun-Te Lee
Available Online 2 December 2022.
- DOI
- 10.2991/978-94-6463-010-7_82How to use a DOI?
- Keywords
- Happiness; Correlation Coefficient; Normalization; Linear Regression; K-Means
- Abstract
With the advancement of China’s reform and opening up, the life goal of the Chinese people has gradually shifted from solving the problem of food and clothing to pursuing happiness. However, everyone has their own definition of happiness, and there are many factors that affect happiness. Based on the “Top 30 Happiest Cities in China in 2019”, as well as the per capita disposable income of these 30 cities and the distribution of the three major industries, this article explains the impact of income and geographic location on the People’s Happiness Index.
- 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
TY - CONF AU - Yinhao Liu AU - Meili Liu AU - Jeng-Eng Lin AU - Chun-Te Lee PY - 2022 DA - 2022/12/02 TI - Data Analysis of the Impact of Income and Geographical Location on the Chinese People’s Happiness Index BT - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) PB - Atlantis Press SP - 820 EP - 830 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-010-7_82 DO - 10.2991/978-94-6463-010-7_82 ID - Liu2022 ER -