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Faculty of Graduate Studies

Cayley Boyd

  • BA (University of Manitoba, 2019)

Notice of the Final Oral Examination for the Degree of Master of Arts

Topic

The indirect effects of clean cookstoves: Foraging time, gender, and agricultural production in Rwanda

Department of Economics

Date & location

  • Thursday, April 17, 2025

  • 3:00 P.M.

  • Business and Economics Building

  • Room 371

Reviewers

Supervisory Committee

  • Dr. Colette Salemi, Department of Economics, University of Victoria (Supervisor)

  • Dr. Chris Auld, Department of Economics, UVic (Member) 

External Examiner

  • Dr. Laura Parisi, Department of Gender Studies, University of Victoria 

Chair of Oral Examination

  • Dr. Ana Maria Peredo, School of Environmental Studies, UVic

Abstract

Well-designed improved cookstove interventions reduce the foraging time requirement for energy provision. What are the indirect effects of this time savings, particularly for the women and children who traditionally collect fuelwood for their households? In this paper, I study the impacts of the Tubeho Neza clean technology program in Rwanda, which to date has delivered 1.5 million improved cookstoves to rural Rwandan households. I use the Integrated Household Living Conditions Survey (EICV, 2011, 2013-14, 2016-17) and proprietary stove delivery data from DelAgua for my analysis. I examine several outcomes, including minutes spent foraging, school expenditures, missing school in the previous week, and the production of crops traditionally cultivated by women. Given the limited geographic information in the EICV, I measure individual treatment intensity based on the cumulative stove receipt at the district level post-treatment. Drawing on recent advances in the econometrics literature, I estimate a difference-in-differences two-way fixed effects regression specification for two separate treatment groups based on their year of initial treatment (2014 or 2016). I also use an event study with binary treatment classification to examine evidence of parallel pre-trends and as a post-treatment robustness check. Across outcome variables, I fail to reject the null hypothesis of zero treatment effect, but these null findings are likely due to the coarse treatment definition.

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