High aggregate levels of wildlife consumption in cities in Central Africa highlight the need for solutions that balance wildlife protection, local livelihoods, and the relational values between people and nature. This study explores the impacts of demand and supply-side interventions on wild meat consumption through two randomized control trials in restaurants in Kinshasa, Democratic Republic of the Congo: a demand-side experiment and a supply-side experiment. In the demand-side experiment, 544 subjects were given a coupon to their restaurant of choice and randomly assigned to view either a treatment video discouraging wildmeat consumption or a control video unrelated to wildmeat. Treatment group subjects are 31% less likely to order wild meat than control group subjects, though this difference is not statistically significant and may be affected by social desirability bias. In the supply-side experiment, we assessed the effect of randomly reducing the price of Moambe Chicken, a potential alternative to wild meat, on restaurants’ total wild meat sales. We estimate that a 1% reduction in the price of Moambe Chicken reduces total wild meat sales by 0.91%. Although this relationship is not statistically significant, it suggests that interventions increasing the availability and affordability of alternatives to wild meat may reduce wild meat consumption. Our experiments advance previous research by utilizing actual consumption data rather than self-reported data, assessing social desirability bias, and preregistering all statistical specifications to enhance research integrity. Policy implications: We provide preliminary evidence suggesting that both wild meat demand reduction through social marketing campaigns and supply expansion via affordable alternatives could contribute to effective wildlife conservation in Central Africa.
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise, version 22H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz 2.90 GHz (2 processors)
• Memory available: 128 GB
• Software version: Stata 18.0 MP, R 4.2.1
Runtime: 5 minutes
Users should follow these instructions to reproduce the results:
All data sources are publicly available but not all are included in the reproducibility package.
Author | Affiliation | |
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Abdoulaye Cisse | Agricultural and Resource Economics, University of California Berkeley | cisse@berkeley.edu |
Gabriel Englander | World Bank | aenglander@worldbank.org |
Daniel J. Ingram | Durrell Institute of Conservation and Ecology, University of Kent | d.j.ingram@kent.ac.uk |
2024-11
Location | Code |
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Democratic Republic of the Congo | COD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Gabriel Englander | World Bank | aenglander@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
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