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Article: Spatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong

TitleSpatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong
Authors
KeywordsUrban air pollution
Spatio-temporal boundary effects
Health effects
Particulate matter
Hong Kong
Issue Date2019
PublisherRoutledge. The Journal's web site is located at http://www.tandfonline.com/loi/rjus20
Citation
International Journal of Urban Sciences, 2019, v. 23 n. 4, p. 498-518 How to Cite?
AbstractIn this study, we estimate PM2.5-caused health costs in Hong Kong and examine spatio-temporal boundary effects on the estimated results. During the period between 2012 and 2016, mean annual welfare loss from PM2.5 pollution is estimated to be US$1.5–1.8 billion or 0.5%–0.7% of Hong Kong’s gross domestic product. Premature deaths associated with chronic exposure are the most important health endpoint, accounting for >95% of the total costs. The estimated results are subject to large spatio-temporal boundary effects. On the one hand, disregarding cross-district heterogeneity in air quality and socioeconomic conditions leads to a downward bias of up to 13%, due to spatial correlations among PM2.5 levels, district population, and household incomes. On the other hand, neglecting intra-year variations in PM2.5 concentrations results in overestimation of up to 18%, due to nonlinearity in concentration–response relationships. The estimation bias from coarse analysis units likely further increases in national or global studies, given the magnitude of the spatio-temporal variations involved at these levels.
Persistent Identifierhttp://hdl.handle.net/10722/261207
ISSN
2019 Impact Factor: 1.831
2015 SCImago Journal Rankings: 0.302
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNam, K-
dc.contributor.authorLi, M-
dc.contributor.authorWang, Y-
dc.contributor.authorWong, KKH-
dc.date.accessioned2018-09-14T08:54:18Z-
dc.date.available2018-09-14T08:54:18Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Urban Sciences, 2019, v. 23 n. 4, p. 498-518-
dc.identifier.issn1226-5934-
dc.identifier.urihttp://hdl.handle.net/10722/261207-
dc.description.abstractIn this study, we estimate PM2.5-caused health costs in Hong Kong and examine spatio-temporal boundary effects on the estimated results. During the period between 2012 and 2016, mean annual welfare loss from PM2.5 pollution is estimated to be US$1.5–1.8 billion or 0.5%–0.7% of Hong Kong’s gross domestic product. Premature deaths associated with chronic exposure are the most important health endpoint, accounting for >95% of the total costs. The estimated results are subject to large spatio-temporal boundary effects. On the one hand, disregarding cross-district heterogeneity in air quality and socioeconomic conditions leads to a downward bias of up to 13%, due to spatial correlations among PM2.5 levels, district population, and household incomes. On the other hand, neglecting intra-year variations in PM2.5 concentrations results in overestimation of up to 18%, due to nonlinearity in concentration–response relationships. The estimation bias from coarse analysis units likely further increases in national or global studies, given the magnitude of the spatio-temporal variations involved at these levels.-
dc.languageeng-
dc.publisherRoutledge. The Journal's web site is located at http://www.tandfonline.com/loi/rjus20-
dc.relation.ispartofInternational Journal of Urban Sciences-
dc.subjectUrban air pollution-
dc.subjectSpatio-temporal boundary effects-
dc.subjectHealth effects-
dc.subjectParticulate matter-
dc.subjectHong Kong-
dc.titleSpatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong-
dc.typeArticle-
dc.identifier.emailNam, K: kmnam@hku.hk-
dc.identifier.emailWang, Y: ywan86@hku.hk-
dc.identifier.authorityNam, K=rp01953-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/12265934.2018.1514275-
dc.identifier.scopuseid_2-s2.0-85053399798-
dc.identifier.hkuros290036-
dc.identifier.volume23-
dc.identifier.issue4-
dc.identifier.spage498-
dc.identifier.epage518-
dc.identifier.isiWOS:000492297700004-
dc.publisher.placeUnited Kingdom-

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