Assessing the sustainability of China's coastal regions: A perspective on local coupling and telecoupling
Miao Hu,
Yongtao Bian and
Guangxing Ji
Ecological Modelling, 2025, vol. 501, issue C
Abstract:
The transboundary flow of resource elements has resulted in unprecedented transfers of environmental and social impacts, inevitably influencing a region's environmental carrying capacity and sustainability. Consequently, evaluating the effects of both internal and external resource elements on regional sustainability is crucial for advancing sustainable development. This study distinguishes between internal and external resource elements that support the development of China's coastal areas, based on local coupling and telecoupling theories. It employs the emergy analysis method to assess the degree of dependence of these coastal areas on external resource elements, as well as the environmental loading pressures resulting from both internal and external resource elements and evaluates the sustainability of China's coastal regions. Furthermore, the spatial and temporal evolution characteristics of environmental load pressure were analyzed using the Local Indicators of Spatial Association time path, while the driving forces affecting sustainability were examined through the Logarithmic Mean Divis Index method. The results indicate that social development in China's coastal areas increasingly relies on external resource elements. In Hebei, Liaoning, and Shandong, the environmental load pressure primarily arises from the utilization of internal resources, whereas in Tianjin and Shanghai, it mainly stems from external resources. Overall, the sustainability of China's coastal areas is trending downward. Enhancing emergy intensity, promoting sustainable resource use, and reducing reliance on imported resources can contribute to improved sustainability. Finally, several actionable suggestions are provided.
Keywords: Emergy analysis; Resource flow; Transboundary coupling; Environmental pressure; Sustainable development (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380024003624
Full text for ScienceDirect subscribers only
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:eee:ecomod:v:501:y:2025:i:c:s0304380024003624
DOI: 10.1016/j.ecolmodel.2024.110974
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().