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- Publisher Website: 10.1016/j.marpolbul.2013.07.032
- Scopus: eid_2-s2.0-84884159134
- PMID: 23932418
- WOS: WOS:000326211600020
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Article: Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation
Title | Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation |
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Authors | |
Keywords | Environmental remediation HATS Intervention analysis Seemingly unrelated regression Time series |
Issue Date | 2013 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/marpolbul |
Citation | Marine Pollution Bulletin, 2013, v. 74 n. 1, p. 56-65 How to Cite? |
Abstract | Large scale environmental remediation projects applied to sea water always involve large amount of capital investments. Rigorous effectiveness evaluations of such projects are, therefore, necessary and essential for policy review and future planning. This study aims at investigating effectiveness of environmental remediation using three different Seemingly Unrelated Regression (SUR) time series models with intervention effects, including Model (1) assuming no correlation within and across variables, Model (2) assuming no correlation across variable but allowing correlations within variable across different sites, and Model (3) allowing all possible correlations among variables (i.e., an unrestricted model). The results suggested that the unrestricted SUR model is the most reliable one, consistently having smallest variations of the estimated model parameters. We discussed our results with reference to marine water quality management in Hong Kong while bringing managerial issues into consideration. © 2013 Elsevier Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/189465 |
ISSN | 2023 Impact Factor: 5.3 2023 SCImago Journal Rankings: 1.445 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | IP, RHL | - |
dc.contributor.author | Li, WK | - |
dc.contributor.author | Leung, KMY | - |
dc.date.accessioned | 2013-09-17T14:41:55Z | - |
dc.date.available | 2013-09-17T14:41:55Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Marine Pollution Bulletin, 2013, v. 74 n. 1, p. 56-65 | - |
dc.identifier.issn | 0025-326X | - |
dc.identifier.uri | http://hdl.handle.net/10722/189465 | - |
dc.description.abstract | Large scale environmental remediation projects applied to sea water always involve large amount of capital investments. Rigorous effectiveness evaluations of such projects are, therefore, necessary and essential for policy review and future planning. This study aims at investigating effectiveness of environmental remediation using three different Seemingly Unrelated Regression (SUR) time series models with intervention effects, including Model (1) assuming no correlation within and across variables, Model (2) assuming no correlation across variable but allowing correlations within variable across different sites, and Model (3) allowing all possible correlations among variables (i.e., an unrestricted model). The results suggested that the unrestricted SUR model is the most reliable one, consistently having smallest variations of the estimated model parameters. We discussed our results with reference to marine water quality management in Hong Kong while bringing managerial issues into consideration. © 2013 Elsevier Ltd. | - |
dc.language | eng | - |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/marpolbul | - |
dc.relation.ispartof | Marine Pollution Bulletin | - |
dc.rights | © <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Environmental remediation | - |
dc.subject | HATS | - |
dc.subject | Intervention analysis | - |
dc.subject | Seemingly unrelated regression | - |
dc.subject | Time series | - |
dc.subject.mesh | Conservation of Natural Resources | - |
dc.subject.mesh | Environmental Monitoring | - |
dc.subject.mesh | Environmental Remediation - economics - methods - statistics and numerical data | - |
dc.subject.mesh | Models, Theoretical | - |
dc.subject.mesh | Water Pollution - prevention and control | - |
dc.title | Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation | - |
dc.type | Article | - |
dc.identifier.email | IP, RHL: ryanhlip@hku.hk | - |
dc.identifier.email | Li, WK: hrntlwk@hkucc.hku.hk | - |
dc.identifier.email | Leung, KMY: kmyleung@hku.hk | - |
dc.identifier.authority | Li, WK=rp00741 | - |
dc.identifier.authority | Leung, KMY=rp00733 | - |
dc.identifier.doi | 10.1016/j.marpolbul.2013.07.032 | - |
dc.identifier.pmid | 23932418 | - |
dc.identifier.scopus | eid_2-s2.0-84884159134 | - |
dc.identifier.hkuros | 224457 | - |
dc.identifier.volume | 74 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 56 | - |
dc.identifier.epage | 65 | - |
dc.identifier.isi | WOS:000326211600020 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0025-326X | - |