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Haze, health, and income: An integrated model for willingness to pay for haze mitigation in Shanghai, China

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  • Ouyang, Xiaoling
  • Zhuang, Wuxu
  • Sun, Chuanwang

Abstract

Most existing studies indicate that residentsö willingness to pay (WTP) for environmental protection mainly depends on income and the degree of environmental pollution. However, owing to lack of suitable data, less research has focused on why people have higher or lower WTP for environmental protection, and many questions about their reasons remain unanswered. Based on contingent valuation questionnaires in 16 districts of Shanghai, this study investigates the influencing factors of residentsö WTP for haze mitigation. To avoid a multicollinearity problem, we integrate principal component analysis and the probit model to examine the determinants of WTP. Results show that residentsö WTP for haze mitigation ranges from 343.31 to 359.48 USD. The major influencing factors of residentsö WTP include subjective knowledge of haze impacts, understanding of the frequency and severity of haze, and social trust in haze data published by the government. In particular, we find that owing to anti-haze household expenditure on mitigating the effects of haze pollution on health, residents who considered that the areas they lived in were more influenced by haze pollution do not always have higher WTP for haze mitigation. Results of this study have policy implications for haze mitigation regarding the effect of anti-haze household expenditure.

Suggested Citation

  • Ouyang, Xiaoling & Zhuang, Wuxu & Sun, Chuanwang, 2019. "Haze, health, and income: An integrated model for willingness to pay for haze mitigation in Shanghai, China," Energy Economics, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303305
    DOI: 10.1016/j.eneco.2019.104535
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    as
    1. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    2. Siqi Zheng & Jing Cao & Matthew Kahn & Cong Sun, 2014. "Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 398-414, April.
    3. Amirnejad, Hamid & Khalilian, Sadegh & Assareh, Mohammad H. & Ahmadian, Majid, 2006. "Estimating the existence value of north forests of Iran by using a contingent valuation method," Ecological Economics, Elsevier, vol. 58(4), pages 665-675, July.
    4. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
    5. Neidell, Matthew J., 2004. "Air pollution, health, and socio-economic status: the effect of outdoor air quality on childhood asthma," Journal of Health Economics, Elsevier, vol. 23(6), pages 1209-1236, November.
    6. Lo, Alex Y. & Jim, C.Y., 2015. "Protest response and willingness to pay for culturally significant urban trees: Implications for Contingent Valuation Method," Ecological Economics, Elsevier, vol. 114(C), pages 58-66.
    7. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    8. Adaman, Fikret & KaralI, Nihan & Kumbaroglu, Gürkan & Or, Ilhan & Özkaynak, Begüm & Zenginobuz, Ünal, 2011. "What determines urban households' willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey," Energy Policy, Elsevier, vol. 39(2), pages 689-698, February.
    9. Shao, Shuai & Tian, Zhihua & Fan, Meiting, 2018. "Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China," World Development, Elsevier, vol. 105(C), pages 83-94.
    10. Sun, Cong & Kahn, Matthew E. & Zheng, Siqi, 2017. "Self-protection investment exacerbates air pollution exposure inequality in urban China," Ecological Economics, Elsevier, vol. 131(C), pages 468-474.
    11. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    12. S. V. Ciriacy-Wantrup, 1947. "Capital Returns from Soil-Conservation Practices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(4_Part_II), pages 1181-1196.
    13. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.
    14. Bennett, Richard M. & Blaney, Ralph J. P., 2003. "Estimating the benefits of farm animal welfare legislation using the contingent valuation method," Agricultural Economics, Blackwell, vol. 29(1), pages 85-98, July.
    15. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    16. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
    17. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    18. Guo, Xiurui & Liu, Haifeng & Mao, Xianqiang & Jin, Jianjun & Chen, Dongsheng & Cheng, Shuiyuan, 2014. "Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China," Energy Policy, Elsevier, vol. 68(C), pages 340-347.
    19. Kraeusel, Jonas & Möst, Dominik, 2012. "Carbon Capture and Storage on its way to large-scale deployment: Social acceptance and willingness to pay in Germany," Energy Policy, Elsevier, vol. 49(C), pages 642-651.
    Full references (including those not matched with items on IDEAS)

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