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Understanding household demand for indoor air pollution control in developing countries

Author

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  • Larson, Bruce A.
  • Rosen, Sydney

Abstract

More than 2 billion people rely on solid fuels and traditional stoves or open fires for cooking, lighting, and/or heating. Exposure to emissions caused by burning these fuels is believed to be responsible for a significant share of the global burden of disease. To achieve widespread health improvements, interventions that reduce exposures to indoor air pollution will need to be adopted and consistently used by large numbers of households in the developing world. Given that such interventions remain to be adopted by large numbers of these households, much remains to be learned about household demand for interventions designed (in part at least) to reduce indoor air pollution. A general household framework is developed that identifies in detail the determinants of household demand for indoor air pollution interventions, where demand for an intervention is expressed in terms of willingness to pay. Household demand is shown to be a combination of three terms: (1) the direct consumption effect; (2) the child health effect; and (3) the adult health effect. While micro-level data are not available to estimate directly this model, existing data and information are used to estimate just the health effects component of household demand. Based on such existing information, it might be concluded that household demand should seemingly be strong given that willingness to pay, based on existing information, is seemingly large compared to costs for common interventions like improved stoves. Given that household demand is not strong for existing interventions, this analysis shows that more clearly focused research on household demand for interventions is needed if such interventions are going to be demanded (i.e. adopted and used) by large numbers of households throughout the developing world. Four priority areas for future research are: (1) improving information on dose-response relationships between indoor air pollution and various health effects (e.g. increased mortality and morbidity risks); (2) improving information on impacts from interventions in terms of air pollution reductions and also cooking times, fuel use, and heat intensities; (3) improving information on household shadow values for improved health, with separate information for adult and child health; and (4) considering more directly household information, and its adequacy, for their ability to evaluate the relationships between fuel use and health.

Suggested Citation

  • Larson, Bruce A. & Rosen, Sydney, 2002. "Understanding household demand for indoor air pollution control in developing countries," Social Science & Medicine, Elsevier, vol. 55(4), pages 571-584, August.
  • Handle: RePEc:eee:socmed:v:55:y:2002:i:4:p:571-584
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    Citations

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    Cited by:

    1. MacCarty, Nordica A. & Bryden, Kenneth Mark, 2016. "An integrated systems model for energy services in rural developing communities," Energy, Elsevier, vol. 113(C), pages 536-557.
    2. Muhammad Irfan & Michael P. Cameron & Gazi Hassan, 2023. "The Causal Impact of Solid Fuel Use on Mortality A Cross- Country Panel Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 144-153, January.
    3. Raha, Debadayita & Mahanta, Pinakeswar & Clarke, Michèle L., 2014. "The implementation of decentralised biogas plants in Assam, NE India: The impact and effectiveness of the National Biogas and Manure Management Programme," Energy Policy, Elsevier, vol. 68(C), pages 80-91.
    4. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    5. Yin Feng & Jinhua Cheng & Jun Shen & Han Sun, 2019. "Spatial Effects of Air Pollution on Public Health in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 229-250, May.
    6. Richard S.J. Tol, 2017. "The Private Benefit of Carbon and its Social Cost," Working Paper Series 0717, Department of Economics, University of Sussex Business School.
    7. Irfan, Muhammad & Cameron, Michael P. & Hassan, Gazi, 2018. "Household energy elasticities and policy implications for Pakistan," Energy Policy, Elsevier, vol. 113(C), pages 633-642.
    8. Wang, Yu, 2010. "The analysis of the impacts of energy consumption on environment and public health in China," Energy, Elsevier, vol. 35(11), pages 4473-4479.
    9. Gebreegziabher, Zenebe & van Kooten, G. Cornelis & van Soest, Daan P., 2017. "Technological innovation and dispersion: Environmental benefits and the adoption of improved biomass cookstoves in Tigrai, northern Ethiopia," Energy Economics, Elsevier, vol. 67(C), pages 337-345.
    10. Krishna Prasad Pant, 2009. "Estimating Health Benefits When Behaviours are Endogenous: A Case of Indoor Pollution in Rural Nepal," Working Papers id:2214, eSocialSciences.
    11. Nduka, Eleanya, 2021. "How to get rural households out of energy poverty in Nigeria: A contingent valuation," Energy Policy, Elsevier, vol. 149(C).
    12. Sesan, Temilade, 2014. "What's cooking? Evaluating context-responsive approaches to stove technology development in Nigeria and Kenya," Technology in Society, Elsevier, vol. 39(C), pages 142-150.
    13. Helen Hoka Osiolo & Peter Kimuyu, 2017. "Demand for Indoor Air Pollution Abatement Interventions," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-19, September.
    14. Marc A Jeuland & Subhrendu K Pattanayak, 2012. "Benefits and Costs of Improved Cookstoves: Assessing the Implications of Variability in Health, Forest and Climate Impacts," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-15, February.
    15. Muhammad Irfan & Michael P. Cameron & Gazi Hassan, 2017. "Household Energy Elasticities in Pakistan: An Application of the LA-AIDS Model on Pooled Household Data," Working Papers in Economics 17/11, University of Waikato.
    16. Elizabeth Hendrickson & Art Whatley, 2011. "Reducing Indoor Air Pollution in Developing Countries through Diffusion of Clean Cookstove Technology," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    17. Sesan, Temilade, 2012. "Navigating the limitations of energy poverty: Lessons from the promotion of improved cooking technologies in Kenya," Energy Policy, Elsevier, vol. 47(C), pages 202-210.
    18. Jeuland, M.A. & Bhojvaid, V. & Kar, A. & Lewis, J.J. & Patange, O. & Pattanayak, S.K. & Ramanathan, N. & Rehman, I.H. & Tan Soo, J.S. & Ramanathan, V., 2015. "Preferences for improved cook stoves: Evidence from rural villages in north India," Energy Economics, Elsevier, vol. 52(PB), pages 287-298.
    19. Murat CETIN & Ibrahim DOGAN, 2015. "The Impact Of Education And Health On Economic Growth: Evidence From Romania (1980-2011)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 133-147, June.

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