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Estimating the value of the reduction in air pollution during the Beijing Olympics

  • Xiaoyan Du (a1) and Robert O. Mendelsohn (a2)


This study estimates the willingness-to-pay (WTP) of Beijing residents in order to maintain the improved air quality experienced during the Olympic Games. A double-bounded contingent valuation method is applied to a survey of 566 Beijing residents. The results indicate that the mean annual WTP per household is between CNY 22,000 and 24,000, and the median WTP is around CNY 1,700. The WTP for this actually experienced improvement is significantly higher than the results from previous hypothetical WTP surveys in China.



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Alberini, A. (1995), ‘Efficiency vs bias of willingness-to-pay estimates: bivariate and interval-data models’, Journal of Environmental Economics and Management 29(2): 169180.
Arrow, K., Solow, R., Portney, P., Learmer, E., Radner, R., and Schuman, H. (1993), ‘Report of the NOAA panel on contingent valuation’, Federal Register 58(10): 46014614.
BMEPB (Beijing Municipal Environmental Protection Bureau) (2007, 2008), Air Quality Daily and Monthly Report, Beijing: BMEPB.
Cai, C. and Zheng, X. (2007), ‘Application of contingent valuation method in valuing health gains from air quality improvement’, Research of Environmental Sciences 20: 150154.
Cameron, T.A. (1988), ‘A new paradigm for valuing non-market goods using referendum data: maximum likelihood estimation by censored logistic regression’, Journal of Environmental Economics and Management 15: 355379.
Cameron, T.A. and James, M.D. (1987), ‘Efficient estimation methods for “closed ended” contingent valuation surveys’, Review of Economics and Statistics 69(2): 269276.
Cameron, T.A and Quiggin, J. (1994), ‘Estimation using contingent valuation data from a dichotomous choice with follow-up questionnaire’, Journal of Environmental Economics and Management 27(3): 218234.
Carson, R. and Hanemann, W. (2005), ‘Contingent valuation method’, in Maler, K.G. and Vincent, J. (eds), Handbook of Environmental Economics, Volume 2: Valuing Environmental Changes, Amsterdam: North Holland, pp. 821936.
EIA (Energy Information Administration) (2011), Annual Energy Outlook 2011, Washington, DC: Department of Energy.
Fu, B. (2008), ‘Blue skies for China’, Science 321(5889): 611.
Hanemann, M. (1984), ‘Discrete/continuous models of consumer demand’, Econometrica 52: 541561.
Holz, C. (2008), ‘China's economic growth 1978–2025: what we know today about China's economic growth tomorrow’, World Development 36(10): 16651691.
Jeanty, P.W. (2007), ‘Constructing Krinsky and Robb confidence intervals for mean and median willingness to pay (WTP) using Stata’, paper presented at 6th North American Stata Users’ Group Meeting, Boston, MA.
Kanninen, B. (1993), ‘Optimal experimental design for double-bounded dichotomous choice contingent valuation’, Land Economics 69(2): 138146.
Larsen, B., Hutton, G., and Khanna, N. (2008), ‘Air pollution’, In Copenhagen Consensus, Denmark: World Bank.
Mitchell, R.C. and Carson, R.T. (1989), Using Surveys to Value Public Goods: The Contingent Valuation Method, Washington, DC: Resources for the Future.
National Bureau of Statistics (2009), China Statistical Yearbook, Beijing.
Wang, H. and Mullahy, J. (2006), ‘Willingness to pay for reducing fatal risk by improving air quality: a contingent valuation study in Chongqing, China’, Science of the Total Environment 367(1): 5057.
Wang, X.J., Zhang, W., Li, Y., Yang, K.Z., and Bai, M. (2006), ‘Air quality improvement estimation and assessment using contingent valuation method, a case study in Beijing’, Environmental Monitoring and Assessment 120(1–3): 153168.
Wang, Y. and Zhang, Y.S. (2009), ‘Air quality assessment by contingent valuation in Ji'nan, China’, Journal of Environmental Management 90(2): 10221029.

Estimating the value of the reduction in air pollution during the Beijing Olympics

  • Xiaoyan Du (a1) and Robert O. Mendelsohn (a2)


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