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

  • Xiaoling Ouyang
  • , Wuxu Zhuang
  • , Chuanwang Sun*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

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.

Original languageEnglish
Article number104535
JournalEnergy Economics
Volume84
DOIs
StatePublished - Oct 2019

Keywords

  • Anti-haze household expenditure
  • Haze mitigation
  • Principal component analysis
  • Probit model
  • Willingness to pay

Fingerprint

Dive into the research topics of 'Haze, health, and income: An integrated model for willingness to pay for haze mitigation in Shanghai, China'. Together they form a unique fingerprint.

Cite this