Contingent valuation of health and mood impacts of PM2.5 in Beijing, China
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| Title: | Contingent valuation of health and mood impacts of PM2.5 in Beijing, China |
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| Authors: | Hao Yin, Massimo Pizzol, Jette Bredahl Jacobsen, Linyu Xu |
| Source: | Hao, Y, Pizzol, M, Jacobsen, J B & Xu, L 2018, 'Contingent valuation of health and mood impacts of PM2.5 in Beijing, China', Science of the Total Environment, vol. 630, pp. 1269-1282. https://doi.org/10.1016/j.scitotenv.2018.02.275 |
| Publisher Information: | Elsevier BV, 2018. |
| Publication Year: | 2018 |
| Subject Terms: | Air Pollutants/analysis, Mood impacts, welfare loss, PM2.5, Particulate Matter/analysis, 01 natural sciences, Environmental Exposure/statistics & numerical data, Air Pollution, 11. Sustainability, Humans, name=SDG 3 - Good Health and Well-being, Cities, 0105 earth and related environmental sciences, Air Pollutants, PM, 1. No poverty, Environmental Exposure, 3. Good health, Air Pollution/statistics & numerical data, Affect, 13. Climate action, Beijing, Particulate Matter, Perception, WTP/WTA, Health impacts, name=SDG 11 - Sustainable Cities and Communities, Random forest |
| Description: | Air pollution from PM2.5 affects many cities worldwide, causing both health impacts and mood depression. One of the obstacles to implementing environmental regulations for PM2.5 reduction is that there are limited studies of PM2.5 welfare loss and few investigations of mood depression caused by PM2.5. This article describes a survey study conducted in Beijing, China to estimate the welfare loss due to PM2.5. In total, 1709 participants completed either a face-to-face or online survey. A contingent valuation method was applied to elicit people's willingness to pay to avoid PM2.5 pollution and willingness to accept a compensation for such pollution. The payment/compensation was evaluated for two outcome variables: perceived health impacts and mood depression caused by PM2.5 pollution. This is one of few papers that explicitly studies the effects of PM2.5 on subjective well-being, and to the authors' knowledge, the first to estimate welfare loss from PM2.5 using a random forest model. Compared to the standard Turnbull, probit, and two-part models, the random forest model gave the best fit to the data, suggesting that this may be a useful tool for future studies too. The welfare loss due to health impacts and mood depression is CNY 1388.4/person/year and CNY 897.7/person/year respectively, indicating that the public attaches great importance to mood, feelings and happiness. The study provides scientific support to the development of economic policy instruments for PM2.5 control in China. |
| Document Type: | Article |
| Language: | English |
| ISSN: | 0048-9697 |
| DOI: | 10.1016/j.scitotenv.2018.02.275 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/29554748 https://vbn.aau.dk/da/publications/13047314-4165-4ea3-a9bc-4b69a6b5c0ef https://doi.org/10.1016/j.scitotenv.2018.02.275 http://www.scopus.com/inward/record.url?scp=85042704217&partnerID=8YFLogxK https://vbn.aau.dk/da/publications/contingent-valuation-of-health-and-mood-impacts-of-pm25-in-beijing-china(13047314-4165-4ea3-a9bc-4b69a6b5c0ef).html https://eksperter.aau.dk/da/publications/contingent-valuation-of-health-and-mood-impacts-of-pm25-in-beijin https://www.sciencedirect.com/science/article/pii/S0048969718306764 https://pubmed.ncbi.nlm.nih.gov/29554748/ https://www.ncbi.nlm.nih.gov/pubmed/29554748 https://vbn.aau.dk/en/publications/contingent-valuation-of-health-and-mood-impacts-of-pm25-in-beijing-china(13047314-4165-4ea3-a9bc-4b69a6b5c0ef).html |
| Rights: | Elsevier TDM |
| Accession Number: | edsair.doi.dedup.....1beece2e1ff563cfc854336b8bcc243a |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | Air pollution from PM2.5 affects many cities worldwide, causing both health impacts and mood depression. One of the obstacles to implementing environmental regulations for PM2.5 reduction is that there are limited studies of PM2.5 welfare loss and few investigations of mood depression caused by PM2.5. This article describes a survey study conducted in Beijing, China to estimate the welfare loss due to PM2.5. In total, 1709 participants completed either a face-to-face or online survey. A contingent valuation method was applied to elicit people's willingness to pay to avoid PM2.5 pollution and willingness to accept a compensation for such pollution. The payment/compensation was evaluated for two outcome variables: perceived health impacts and mood depression caused by PM2.5 pollution. This is one of few papers that explicitly studies the effects of PM2.5 on subjective well-being, and to the authors' knowledge, the first to estimate welfare loss from PM2.5 using a random forest model. Compared to the standard Turnbull, probit, and two-part models, the random forest model gave the best fit to the data, suggesting that this may be a useful tool for future studies too. The welfare loss due to health impacts and mood depression is CNY 1388.4/person/year and CNY 897.7/person/year respectively, indicating that the public attaches great importance to mood, feelings and happiness. The study provides scientific support to the development of economic policy instruments for PM2.5 control in China. |
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| ISSN: | 00489697 |
| DOI: | 10.1016/j.scitotenv.2018.02.275 |