Author
Listed:
- Qing Liu
(College of Resources, Hunan Agricultural University, Changsha 410128, China)
- Weihao Huang
(College of Resources, Hunan Agricultural University, Changsha 410128, China)
- Shilong Wu
(College of Resources, Hunan Agricultural University, Changsha 410128, China)
- Lianghui Tian
(College of Resources, Hunan Agricultural University, Changsha 410128, China)
- Hui Ren
(College of Resources, Hunan Agricultural University, Changsha 410128, China)
Abstract
To promote the sustainable use of land resources and improve air pollution control, this study investigates the spatiotemporal dynamics of industrial land development and the heterogeneity of PM 2.5 concentrations across regions. Based on national land transaction data and PM 2.5 raster datasets, the analysis employs Moran’s I, a hot and cold spot analysis, and multivariate linear regression to examine how the transaction frequency, transaction area, and total transaction price of industrial land influence PM 2.5 concentrations in 286 cities from 2010 to 2021. The study focuses on quantifying the impact of industrial land development on PM 2.5 concentrations. The main findings are as follows: (1) the frequency of industrial land transactions varies significantly across regions, with clear intra-regional differences. The transaction area and total transaction price decrease in the following order: “East-West-Central-North-East” and “East-Central-West-North-East”, respectively. (2) The spatial clustering of PM 2.5 concentrations has intensified, with hot spots concentrated in Eastern and Central cities. Cold spots are distributed in bands along the Southern coast and scattered patterns in Heilongjiang Province. (3) The influence of industrial land development on PM 2.5 concentrations has generally weakened nationwide, with the strongest effects observed in the Eastern region. Among the development indicators, the impact of the transaction area is increasing, while those of the transaction frequency and total price are declining, showing clear regional disparities. Therefore, integrating sustainable development principles into the adjustment of the industrial land market is essential for effective air pollution prevention.
Suggested Citation
Qing Liu & Weihao Huang & Shilong Wu & Lianghui Tian & Hui Ren, 2025.
"A Study of the Impact of Industrial Land Development on PM 2.5 Concentrations in China,"
Sustainability, MDPI, vol. 17(12), pages 1-25, June.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:12:p:5327-:d:1675026
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5327-:d:1675026. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.