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The environmental effects of poverty programs and the poverty effects of environmental programs: The missing RCTs

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  • Alpízar, Francisco
  • Ferraro, Paul J.

Abstract

For decades, government agencies and nongovernmental organizations have invested in programs aimed at alleviating poverty and those aimed at protecting the environment. Whether these investments mutually reinforce each other or act in opposition has been widely debated by scholars. Studies that have tried to resolve this debate suffer from a variety of shortcomings, including the challenge of inferring causal relationships from non-experimental data. To help address some of these shortcomings, randomized controlled trials (RCTs) can play an important role. When done well, RCTs permit credible causal inferences and can be designed to directly test competing assumptions about how the world works. Yet few RCTs of poverty programs examine their effects on the environment. Worse, we know of no RCTs reporting the poverty effects of environmental interventions, which may be unsurprising given that environmental scholars rarely use RCTs. The lack of RCTs that can shed light on the relationships between actions to alleviate poverty and actions to reverse global environmental change is an obstacle to advancing the science and practice of sustainability. If scholars of poverty include environmental outcomes in their RCTs, and if environmental scholars use RCTs to study the poverty effects of environmental programs, the long-running debates about the dual challenges of alleviating poverty and protecting the environment could be resolved. Moreover, by forcing people to pay greater attention to the mechanisms and pathways that link the solutions to these two challenges, RCTs can make it more likely that environmental and poverty programs will be designed in ways that ensure progress on one challenge will also imply progress on the other.

Suggested Citation

  • Alpízar, Francisco & Ferraro, Paul J., 2020. "The environmental effects of poverty programs and the poverty effects of environmental programs: The missing RCTs," World Development, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:wdevel:v:127:y:2020:i:c:s0305750x19304322
    DOI: 10.1016/j.worlddev.2019.104783
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    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808, Decembrie.
    2. Beccy Wilebore & Maarten Voors & Erwin H Bulte & David Coomes & Andreas Kontoleon, 2019. "Unconditional Transfers and Tropical Forest Conservation: Evidence from a Randomized Control Trial in Sierra Leone," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 894-918.
    3. Jennifer Alix-Garcia & Craig McIntosh & Katharine R. E. Sims & Jarrod R. Welch, 2013. "The Ecological Footprint of Poverty Alleviation: Evidence from Mexico's Oportunidades Program," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 417-435, May.
    4. Johan A. Oldekop & Katharine R. E. Sims & Birendra K. Karna & Mark J. Whittingham & Arun Agrawal, 2019. "Reductions in deforestation and poverty from decentralized forest management in Nepal," Nature Sustainability, Nature, vol. 2(5), pages 421-428, May.
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    Cited by:

    1. Isaac Doku, 2022. "Are Developing Countries Using Climate Funds for Poverty Alleviation? Evidence from Sub-Saharan Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 3026-3049, December.
    2. Ayesha Siddiqa, 2021. "Determinants of Unemployment in Selected Developing Countries: A Panel Data Analysis," Journal of Economic Impact, Science Impact Publishers, vol. 3(1), pages 19-26.
    3. Heß, Simon & Jaimovich, Dany & Schündeln, Matthias, 2021. "Environmental effects of development programs: Experimental evidence from West African dryland forests," Journal of Development Economics, Elsevier, vol. 153(C).
    4. Daniel Runfola & Geeta Batra & Anupam Anand & Audrey Way & Seth Goodman, 2020. "Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach," Sustainability, MDPI, vol. 12(8), pages 1-13, April.

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