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Article type: Research Article
Authors: Su, Lin | Jia, Jingjing*
Affiliations: School of Business, Shanghai Dian Ji University, Shanghai, China
Correspondence: [*] Corresponding author: Jingjing Jia, School of Business, Shanghai Dian Ji University, Shanghai 201306, China. E-mail: jingjing86202203@163.com.
Abstract: Night light data can well reflect the economic prosperity and exploring the relationship between the nighttime light intensity and GDP can have a better understanding on the impact of night economy on regional GDP. After rectifying two satellites’ data, regression analysis was used to study the relationship between the average intensity of nighttime lights and GDP. The consequence showed that the GDP of Pudong New District, Chongming District and Shanghai is the most closely related to the average intensity of night light and presenting corresponding advice. It is the first application of multiple math models and calculations within the research field of nitghttime light intensify and GDP in Shanghai, which is a try in practice that has gained well calculated results and performed creativities.
Keywords: Shanghai, night light intensity, GDP
DOI: 10.3233/JCM-226545
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 3-8, 2023
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