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Title:Is the Environmental Kuznets Curve Still Relevant in the Modern Context? – Insights From Air Pollutants in Chinese Cities
Authors:ID Wang, Jun (Author)
ID Park, Shinah (Author)
ID Akar, Gulsah (Author)
Files:URL https://ojs.upr.si/index.php/fm/article/download/199/92
 
.pdf MGT_Wang_Jun_2025.pdf (808,13 KB)
MD5: BBCE138A6787F82DE33FA84F6E275CEC
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:ZUP - University of Primorska Press
Abstract: This study investigated the presence of EKC-like relationships between various socioeconomic variables and air pollution indicators across 151 Chinese cities, analysed by quadratic regression models and geographic weighted regression (GWR) analysis. The results present critical insights into the applicability and limitations of the EKC. Only Air Quality Index, Nitrogen Dioxide (NO2), and Fine Particulate Matter (PM2.5) show statistically significant correlations with one socioeconomic variable, respectively, in an EKC-like pattern which is meaningful in reality. GWR coefficients serve as a diagnostic tool to identify those burdened cities where stricter emissions standards, greener industrial practices, or economic restructuring should be prioritized. The spatial dependencies challengethe EKC’s assumption of isolated environmental-economic dynamics. Stricter environmental regulations in developed areas often lead to the displacement of polluting activities to regions with laxer standards. Policy efforts in tackling air pollution should focus on directly reducing emissions through localized, technology-based interventions rather than relying on economic growth to eventually improve air quality. Spatially targeted policies informed by city-specific patterns are essential, as pollution outcomes are shaped by regional industrial structures, population density, and cross-boundary spillover effects.
Keywords:Air pollution, City development, Industrialization, Sustainable development, Carbon Neutral
Publication status:Published
Publication version:Version of Record
Publication date:30.09.2025
Year of publishing:2025
Numbering:Vol. 23, no. 3
PID:20.500.12556/RUP-22255 This link opens in a new window
eISSN:1854-6935
DOI:https://doi.org/10.26493/1854-6935.23.327-358 This link opens in a new window
Publication date in RUP:18.12.2025
Views:163
Downloads:0
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Record is a part of a journal

Title:Managing Global Transitions
Publisher:University of Primorska Press
ISSN:1854-6935

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License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

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