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

Qinxin Sheng () and Tianshu Zhang
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Qinxin Sheng: Hohai University, Business School
Tianshu Zhang: Hohai University, Business School

A chapter in Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023), 2023, pp 131-137 from Springer

Abstract: 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.

Keywords: Light pollution; FE model; Var model; Pulse function (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-218-7_16

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DOI: 10.2991/978-94-6463-218-7_16

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