Does population and industrial agglomeration exacerbate China’s pollution?
Zhouyan Xiao,
Huihui Li and
Le Sun
Journal of Environmental Planning and Management, 2022, vol. 65, issue 14, 2696-2718
Abstract:
The spatial Durbin model is used to explore the effects of population and industrial agglomeration on production and consumption pollution and spatial spillover differences by using provincial panel data from 2000 to 2018 in China. It is found that industrial agglomeration exacerbates production and consumption pollution within and adjacent to regions, and moderate population agglomeration is conducive to optimizing resource allocation and promoting the sharing of pollution control facilities, which can mitigate production and consumption pollution within and adjacent to regions. Although production pollution is in line with the environmental Kuznets curve, economic growth does not alleviate the consumption pollution brought about by daily life. Consumption pollution is mainly influenced by the consumption level, and everyone is the main subject of pollution. Consumption pollution is much more difficult to manage than production pollution and should be managed from the level of consumption demand.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2021.1978059 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:65:y:2022:i:14:p:2696-2718
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20
DOI: 10.1080/09640568.2021.1978059
Access Statistics for this article
Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page
More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().