Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106238
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Social Sciences | en_US |
dc.creator | Chen, S | en_US |
dc.creator | Ding, YZ | en_US |
dc.date.accessioned | 2024-05-03T00:45:56Z | - |
dc.date.available | 2024-05-03T00:45:56Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/106238 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Chen S, Ding Y. Tackling Heavy Metal Pollution: Evaluating Governance Models and Frameworks. Sustainability. 2023; 15(22):15863 is available at https://dx.doi.org/10.3390/su152215863. | en_US |
dc.subject | Heavy metal pollution | en_US |
dc.subject | Governance mode | en_US |
dc.subject | State-centric governance | en_US |
dc.subject | Market governance | en_US |
dc.subject | Network governance | en_US |
dc.subject | Voluntary governance | en_US |
dc.title | Tackling heavy metal pollution : evaluating governance models and frameworks | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 22 | en_US |
dc.identifier.doi | 10.3390/su152215863 | en_US |
dcterms.abstract | Water pollution by heavy metals represents a significant threat to both the environment and public health, with a pronounced risk of stomach cancer and fatalities linked to the consumption of heavy metal-contaminated water. Consequently, the need for effective governance in heavy metal remediation is paramount. Employing a comprehensive review of the existing literature, this study delves into prevalent governance models, including state-centric governance, market governance, network governance, and voluntary governance. The primary objective of this research is to pinpoint the optimal framework for heavy metal remediation and the most efficient governance model. Through an analysis informed by the simplified Multi-Criteria Decision Analysis (MCDA) method, this study presents key findings, offering valuable insights for policymakers, environmental agencies, and industries seeking holistic strategies to combat heavy metal pollution and alleviate its detrimental consequences. These findings significantly contribute to the ongoing global efforts to safeguard the environment, enhance public health, and mitigate the adverse impacts of heavy metal contamination. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sustainability, Nov. 2023, v. 15, no. 22, 15863 | en_US |
dcterms.isPartOf | Sustainability | en_US |
dcterms.issued | 2023-11 | - |
dc.identifier.isi | WOS:001113417000001 | - |
dc.identifier.eissn | 2071-1050 | en_US |
dc.identifier.artn | 15863 | en_US |
dc.description.validate | 202405 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | School of Geography and the Environment, University of Oxford | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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sustainability-15-15863.pdf | 1.24 MB | Adobe PDF | View/Open |
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