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Improving stove evaluation using survey data: Who received which intervention matters

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  • Mueller, Valerie
  • Pfaff, Alexander
  • Peabody, John
  • Liu, Yaping
  • Smith, Kirk R.
Abstract
As biomass fuel use in developing countries causes substantial harm to health and the environment, efficient stoves are candidates for subsidies to reduce emissions. In evaluating improved stoves' relative benefits, little attention has been given to who received which stove intervention due to choices that are made by agencies and households. Using Chinese household data, we find that the owners of more efficient stoves (i.e., clean-fuel and improved-biomass stoves, as compared with traditional-biomass and coal stoves) live in less healthy counties and differ, across and within counties, in terms of household characteristics such as various assets. On net, that caused efficient stoves to look worse for health than they actually are. We control for counties and household characteristics in testing stove impacts. Unlike tests that lack controls, our preferred tests with controls suggest health benefits from clean-fuel versus traditional-biomass stoves. Also, they eliminate surprising estimates of health benefits from coal, found without using controls. Our results show the value, for learning, of tracking who gets which intervention.

Suggested Citation

  • Mueller, Valerie & Pfaff, Alexander & Peabody, John & Liu, Yaping & Smith, Kirk R., 2013. "Improving stove evaluation using survey data: Who received which intervention matters," Ecological Economics, Elsevier, vol. 93(C), pages 301-312.
  • Handle: RePEc:eee:ecolec:v:93:y:2013:i:c:p:301-312
    DOI: 10.1016/j.ecolecon.2013.06.001
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    References listed on IDEAS

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    Cited by:

    1. Bensch, Gunther & Peters, Jörg, 2015. "The intensive margin of technology adoption – Experimental evidence on improved cooking stoves in rural Senegal," Journal of Health Economics, Elsevier, vol. 42(C), pages 44-63.
    2. Jacopo Bonan & Stefano Pareglio & Massimo Tavoni, 2014. "Access to Modern Energy: a Review of Impact Evaluations," Working Papers 2014.96, Fondazione Eni Enrico Mattei.
    3. Li, Fanlue & He, Ke & Wang, Yuejie & Zhang, Junbiao, 2021. "Does Indoor Air Pollution from Solid Fuels Influence the Mental Health of Rural Residents? Evidence from China," 2021 Conference, August 17-31, 2021, Virtual 315024, International Association of Agricultural Economists.
    4. Gunther Bensch & Jörg Peters, 2014. "The Intensive Margin of Technology Adoption - Experimental Evidence on Improved Cooking Stoves in Rural Senegal," Ruhr Economic Papers 0494, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. repec:zbw:rwirep:0494 is not listed on IDEAS

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