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Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi

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  • Mariel, Petr
  • Khan, Mohammad Asif
  • Meyerhoff, Jürgen

Abstract

Air pollution is one of the most pressing problems in India, taking millions of lives annually. Despite unprecedented air quality deterioration, little is known about individuals’ preferences for air quality improvement in India. As a first step, this study presents results from a discrete choice experiment eliciting the preferences for air quality improvement of inhabitants in South Delhi, India, which is part of the city of Delhi and where air pollution is causing extensive health hazards. Adequate knowledge about individuals’ preferences can help in designing more effective health and environmental policies. Overall, we find a significant willingness to pay for improving the air quality in South Delhi. As expected, people with a higher level of education and a higher income are more willing to pay to alleviate and prevent the effects of air pollution. At the same time, significant gender effects are identified; women seem to have more homogeneous preferences regarding air quality than men. Furthermore, due to income inequalities, a significant number of respondents are not willing to pay.

Suggested Citation

  • Mariel, Petr & Khan, Mohammad Asif & Meyerhoff, Jürgen, 2022. "Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 432-447.
    • Handle: RePEc:eee:ecanpo:v:74:y:2022:i:c:p:432-447
    DOI: 10.1016/j.eap.2022.03.006
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    2. Li, Yuxin & Yao, Zili & Guo, Zhanfeng, 2023. "Willingness to pay and preferences for rural tourism attributes among urban residents: A discrete choice experiment in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 460-471.

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    More about this item

    Keywords

    Air quality improvement; Discrete choice experiments; Willingness to pay; South Delhi; Individuals’ preferences;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • N55 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Asia including Middle East
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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