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- Publisher Website: 10.1080/12265934.2018.1514275
- Scopus: eid_2-s2.0-85053399798
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Article: Spatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong
Title | Spatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong |
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Authors | |
Keywords | Urban air pollution Spatio-temporal boundary effects Health effects Particulate matter Hong Kong |
Issue Date | 2019 |
Publisher | Routledge. 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? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/261207 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 0.697 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Nam, K | - |
dc.contributor.author | Li, M | - |
dc.contributor.author | Wang, Y | - |
dc.contributor.author | Wong, KKH | - |
dc.date.accessioned | 2018-09-14T08:54:18Z | - |
dc.date.available | 2018-09-14T08:54:18Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | International Journal of Urban Sciences, 2019, v. 23 n. 4, p. 498-518 | - |
dc.identifier.issn | 1226-5934 | - |
dc.identifier.uri | http://hdl.handle.net/10722/261207 | - |
dc.description.abstract | In 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.language | eng | - |
dc.publisher | Routledge. The Journal's web site is located at http://www.tandfonline.com/loi/rjus20 | - |
dc.relation.ispartof | International Journal of Urban Sciences | - |
dc.subject | Urban air pollution | - |
dc.subject | Spatio-temporal boundary effects | - |
dc.subject | Health effects | - |
dc.subject | Particulate matter | - |
dc.subject | Hong Kong | - |
dc.title | Spatio-temporal boundary effects on pollution-health costs estimation: the case of PM2.5 pollution in Hong Kong | - |
dc.type | Article | - |
dc.identifier.email | Nam, K: kmnam@hku.hk | - |
dc.identifier.email | Wang, Y: ywan86@hku.hk | - |
dc.identifier.authority | Nam, K=rp01953 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/12265934.2018.1514275 | - |
dc.identifier.scopus | eid_2-s2.0-85053399798 | - |
dc.identifier.hkuros | 290036 | - |
dc.identifier.volume | 23 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 498 | - |
dc.identifier.epage | 518 | - |
dc.identifier.isi | WOS:000492297700004 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1226-5934 | - |