4.5 Article

Valuation of Local Demand for Improved Air Quality: The Case of the Mae Moh Coal Mine Site in Thailand

期刊

ATMOSPHERE
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/atmos12091132

关键词

air pollution; air quality; particulate matter; PM2.5 PM10; contingent valuation; willingness to pay; demand curve; double hurdle model; bivariate tobit

资金

  1. UK Research and Innovation's Global Challenges Research Fund (UKRI GCRF) through the Trade, Development and the Environment Hub project [ES/S008160/1]
  2. Asian Institute of Technology Fellowship
  3. Royal Thai Government Fellowship

向作者/读者索取更多资源

This study estimated the willingness to pay for mitigation of atmospheric pollution in the Mae Moh district of Thailand, finding that factors such as education, occupation, income, and satisfaction with ambient quality significantly influenced individual willingness to pay. The study also discusses policy implications for atmospheric pollution management and areas for future research.
While the district of Mae Moh, Thailand has been well known for its atmospheric pollution associated with coal power production, economic assessment of demand for improved air quality has not been conducted to date. This study estimated local residents' individual and aggregate willingness to pay (WTP) for mitigation of atmospheric pollution in Mae Moh using the contingent valuation method (CVM), and analyzed the factors associated with the individual WTP using the bivariate tobit and double-hurdle regression techniques. Primary data were collected through face-to-face interviews with a stratified sample of 200 residents. The hypothetical scenarios used in the CVM module were 50% and 80% mitigation of atmospheric concentrations of major pollutants. The weighted average WTP was found to be THB 251.3 and 307.9 per annum (USD 8.4 and 10.3) for the 50% and 80% reduction scenarios, respectively. The aggregate WTP for the entire population of Mae Moh was THB 10,008,733 and 12,264,761 per annum (USD 336,294 and 412,096), respectively. Education, occupation type, income, expenses, satisfaction with ambient quality, and perceived sources of pollution had significant associations with the individual WTP. The paper concludes by discussing policy implications for atmospheric pollution management and avenues for future research.

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