File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.eneco.2017.10.013
- Scopus: eid_2-s2.0-85033554014
- WOS: WOS:000418208100038
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model
Title | Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model |
---|---|
Authors | |
Keywords | China Socioeconomic burden Computable general equilibrium Air pollution |
Issue Date | 2017 |
Citation | Energy Economics, 2017, v. 68, p. 478-489 How to Cite? |
Abstract | © 2017 Elsevier B.V. In this study, we apply to China the China Regional Energy Model, developed as part of the Regional Emissions Air-Quality Climate Health (REACH) assessment framework, and estimate PM 2.5 -associated health costs. We estimate that, in 2015, exposure to PM 2.5 caused a nationwide welfare loss of US$248 billion (3.6% of the baseline welfare level). Over half the cost is from mortalities associated with chronic exposure, followed by broader economic loss (38%) and direct loss from short-term exposure (9%). The cost varies among provinces (0.5%–5.8% of the baseline welfare level), due to subnational heterogeneity in air quality, population density, and income levels. The cost in absolute terms is large in populous, coastal provinces, such as Shandong, Jiangsu, Zhejiang, and Guangdong, but when the local economy size is controlled for, the Greater Beijing area and central inland provinces also suffer large welfare losses in relative terms. |
Persistent Identifier | http://hdl.handle.net/10722/251873 |
ISSN | 2021 Impact Factor: 9.252 2020 SCImago Journal Rankings: 2.500 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Xu | - |
dc.contributor.author | Ou, Xunmin | - |
dc.contributor.author | Yang, Xi | - |
dc.contributor.author | Qi, Tianyu | - |
dc.contributor.author | Nam, Kyung Min | - |
dc.contributor.author | Zhang, Da | - |
dc.contributor.author | Zhang, Xiliang | - |
dc.date.accessioned | 2018-03-29T02:21:35Z | - |
dc.date.available | 2018-03-29T02:21:35Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Energy Economics, 2017, v. 68, p. 478-489 | - |
dc.identifier.issn | 0140-9883 | - |
dc.identifier.uri | http://hdl.handle.net/10722/251873 | - |
dc.description.abstract | © 2017 Elsevier B.V. In this study, we apply to China the China Regional Energy Model, developed as part of the Regional Emissions Air-Quality Climate Health (REACH) assessment framework, and estimate PM 2.5 -associated health costs. We estimate that, in 2015, exposure to PM 2.5 caused a nationwide welfare loss of US$248 billion (3.6% of the baseline welfare level). Over half the cost is from mortalities associated with chronic exposure, followed by broader economic loss (38%) and direct loss from short-term exposure (9%). The cost varies among provinces (0.5%–5.8% of the baseline welfare level), due to subnational heterogeneity in air quality, population density, and income levels. The cost in absolute terms is large in populous, coastal provinces, such as Shandong, Jiangsu, Zhejiang, and Guangdong, but when the local economy size is controlled for, the Greater Beijing area and central inland provinces also suffer large welfare losses in relative terms. | - |
dc.language | eng | - |
dc.relation.ispartof | Energy Economics | - |
dc.subject | China | - |
dc.subject | Socioeconomic burden | - |
dc.subject | Computable general equilibrium | - |
dc.subject | Air pollution | - |
dc.title | Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.eneco.2017.10.013 | - |
dc.identifier.scopus | eid_2-s2.0-85033554014 | - |
dc.identifier.hkuros | 284122 | - |
dc.identifier.volume | 68 | - |
dc.identifier.spage | 478 | - |
dc.identifier.epage | 489 | - |
dc.identifier.isi | WOS:000418208100038 | - |
dc.identifier.issnl | 0140-9883 | - |