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Household contributions to and impacts from air pollution in India

Author

Listed:
  • Narasimha D. Rao

    (International Institute for Applied Systems Analysis (IIASA)
    Yale University)

  • Gregor Kiesewetter

    (International Institute for Applied Systems Analysis (IIASA))

  • Jihoon Min

    (International Institute for Applied Systems Analysis (IIASA))

  • Shonali Pachauri

    (International Institute for Applied Systems Analysis (IIASA))

  • Fabian Wagner

    (International Institute for Applied Systems Analysis (IIASA))

Abstract

Airborne fine particulate matter (PM2.5) is the largest environmental risk factor for premature mortality worldwide, and the probable cause of several hundred thousand premature deaths every year in India. Indian households contribute to ambient PM2.5 directly from several sources, including biomass-burning cook stoves and transport, and indirectly through the manufacturing of products triggered by their purchases. Here, we quantify consumption-based PM2.5 contributions from, as well as the mortality burden suffered by, urban and rural households by income deciles. Indirect PM2.5 emissions contribute almost twice as much to ambient PM2.5 concentrations as direct emissions from biomass cook stoves. We find that the impacts are distributed differently from contributions. We show that the mortality risk from indirect sources falls disproportionately on lower-income households. This suggests that industry‐wide pollution controls can reduce inequity in the impacts of ambient air pollution. However, as low-income households face an order of magnitude higher mortality risks from indoor air pollution, clean cooking fuels remain the most effective way to reduce the number of premature deaths from air pollution in India.

Suggested Citation

  • Narasimha D. Rao & Gregor Kiesewetter & Jihoon Min & Shonali Pachauri & Fabian Wagner, 2021. "Household contributions to and impacts from air pollution in India," Nature Sustainability, Nature, vol. 4(10), pages 859-867, October.
  • Handle: RePEc:nat:natsus:v:4:y:2021:i:10:d:10.1038_s41893-021-00744-0
    DOI: 10.1038/s41893-021-00744-0
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    References listed on IDEAS

    as
    1. Jihoon Min & Narasimha D. Rao, 2018. "Estimating Uncertainty in Household Energy Footprints," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1307-1317, December.
    2. Ekholm, Tommi & Krey, Volker & Pachauri, Shonali & Riahi, Keywan, 2010. "Determinants of household energy consumption in India," Energy Policy, Elsevier, vol. 38(10), pages 5696-5707, October.
    3. Cropper, Maureen L. & Guttikunda, Sarath & Jawahar, Puja & Lazri, Zachary & Malik, Kabir & Song, Xiao-Peng & Yao, Xinlu, 2019. "Applying Benefit-Cost Analysis to Air Pollution Control in the Indian Power Sector," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 10(S1), pages 185-205, April.
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    Cited by:

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    2. Yang, Tianqi & Shu, Yun & Zhang, Shaohui & Wang, Hongchang & Zhu, Jinwei & Wang, Fan, 2023. "Impacts of end-use electrification on air quality and CO2 emissions in China's northern cities in 2030," Energy, Elsevier, vol. 278(PA).
    3. Cao, Jing & Ma, Rong, 2023. "Mitigating agricultural fires with carrot or stick? Evidence from China," Journal of Development Economics, Elsevier, vol. 165(C).
    4. Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
    5. Huang, Liqing & Zhu, Bangzhu & Wang, Ping & Chevallier, Julien, 2022. "Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 344-352.

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