Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023)

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Analysis of the Influencing Factors of Light Pollution in China: A Regression Model of Light Pollution Based on City-level Panel Data

Authors
Qinxin Sheng1, *, Tianshu Zhang1
1Business School, Hohai University, Changzhou, 213022, China
*Corresponding author. Email: 869436364@qq.com
Corresponding Author
Qinxin Sheng
Available Online 16 August 2023.
DOI
10.2991/978-94-6463-218-7_16How to use a DOI?
Keywords
Light pollution; FE model; Var model; Pulse function
Abstract

Light pollution has become one of the main pollution that perplexes human being. However, there is no unified evaluation criteria. Panel regression model can be used to evaluate the degree of light pollution. In this paper, China’s 161 cities as the study object, from the humanities, economy, society, biological aspects of these four selected 10 indicators for analysis. Through the FE model, the linear formula of light pollution level and the evaluation range of the index are established. The influence of certain strategy on light pollution in a certain area is known by the VAR model and the pulse function. High GDP cities are usually accompanied by very serious light pollution, population density is also one of the main factors causing light pollution. Therefore, we can take measures to promote the construction of ecological greening, increase the area of greening, and promote the development of the third service industry to reduce the level of light pollution.

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 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
16 August 2023
ISBN
978-94-6463-218-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-218-7_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  - Qinxin Sheng
AU  - Tianshu Zhang
PY  - 2023
DA  - 2023/08/16
TI  - Analysis of the Influencing Factors of Light Pollution in China: A Regression Model of Light Pollution Based on City-level Panel Data
BT  - Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023)
PB  - Atlantis Press
SP  - 131
EP  - 137
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-218-7_16
DO  - 10.2991/978-94-6463-218-7_16
ID  - Sheng2023
ER  -