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Air quality valuation using online surveys in three Asian megacities

Author

Listed:
  • Tan-Soo, Jie-Sheng

    (Lee Kuan Yew School of Public Policy, National University of Singapore)

  • Finkelstein, Eric

    (Duke-NUS Medical School, Singapore)

  • Qin, Ping

    (School of Applied Economics, Renmin University of China)

  • Jeuland, Marc

    (Sanford School of Public Policy, Duke University, USA)

  • Pattanayak, Subhrendu

    (Sanford School of Public Policy, Duke University, USA)

  • Zhang, Xiaobing

    (School of Economics, Renmin University of China)

Abstract

Due to worsening air quality across many cities in developing countries, there is an urgent need to consider more aggressive air pollution control measures. Valuation of the benefits of clean air is crucial for establishing the rationale for such policies, but is methodologically challenging, often expensive, and therefore remains limited. This study assesses the potential for more standardized and cost-effective measurement of the demand for air quality improvements, applying a contingent valuation procedure via online surveys, in three Asian megacities facing severe but varying pollution problems – Beijing, Delhi, and Jakarta. The study’s primary contribution is to demonstrate the viability of this approach, which significantly enhances comparability of valuations and their drivers across locations, and thereby has great potential for informing policy analysis and targeting of specific interventions. A second contribution is to supply sorely needed data on the benefits of clean air in these three particular Asian cities, which collectively have a population of about 50 million people. The annual willingness-to-pay for air quality to reach national standards is estimated to be US$150 in Jakarta (where average PM2.5 concentration, at 45µg/m3, exceeds national standards by the smallest amount, specifically a factor of 1.3), US$1845 in Beijing (PM2.5 at 58µg/m3, 1.7 times the standard), and US$1760 in Delhi (PM2.5 at 133µg/m3, 3.3 times the standard). The methods deployed could be applied more widely to construct a worldwide database of comparable air quality valuations.

Suggested Citation

  • Tan-Soo, Jie-Sheng & Finkelstein, Eric & Qin, Ping & Jeuland, Marc & Pattanayak, Subhrendu & Zhang, Xiaobing, 2023. "Air quality valuation using online surveys in three Asian megacities," EfD Discussion Paper 23-8, Environment for Development, University of Gothenburg.
  • Handle: RePEc:hhs:gunefd:2023_008
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    References listed on IDEAS

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    1. Hanna, Rema & Oliva, Paulina, 2015. "The effect of pollution on labor supply: Evidence from a natural experiment in Mexico City," Journal of Public Economics, Elsevier, vol. 122(C), pages 68-79.
    2. Eva Arceo & Rema Hanna & Paulina Oliva, 2016. "Does the Effect of Pollution on Infant Mortality Differ Between Developing and Developed Countries? Evidence from Mexico City," Economic Journal, Royal Economic Society, vol. 126(591), pages 257-280, March.
    3. Chen, Yuyu & Jin, Ginger Zhe & Kumar, Naresh & Shi, Guang, 2013. "The promise of Beijing: Evaluating the impact of the 2008 Olympic Games on air quality," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 424-443.
    4. John C. Whitehead, 2006. "Improving Willingness to Pay Estimates for Quality Improvements through Joint Estimation with Quality Perceptions," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 100-111, July.
    5. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    6. Marc Jeuland & Subhrendu K. Pattanayak & Randall Bluffstone, 2015. "The Economics of Household Air Pollution," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 81-108, October.
    7. Dale Whittington, 2010. "What Have We Learned from 20 Years of Stated Preference Research in Less-Developed Countries?," Annual Review of Resource Economics, Annual Reviews, vol. 2(1), pages 209-236, October.
    8. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    9. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    10. Elizabeth Frankenberg & Douglas McKee & Duncan Thomas, 2005. "Health consequences of forest fires in Indonesia," Demography, Springer;Population Association of America (PAA), vol. 42(1), pages 109-129, February.
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    More about this item

    Keywords

    Low and middle-income countries; air pollution; contingent valuation;
    All these keywords.

    JEL classification:

    • D00 - Microeconomics - - General - - - General

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