{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-11","version":"1"},"project_desc":{"authoring_entity":[{"name":"Abdoulaye Cisse","affiliation":"Agricultural and Resource Economics, University of California Berkeley","email":"cisse@berkeley.edu"},{"name":"Gabriel Englander","email":"aenglander@worldbank.org","affiliation":"World Bank"},{"name":"Daniel J. Ingram","affiliation":"Durrell Institute of Conservation and Ecology, University of Kent","email":"d.j.ingram@kent.ac.uk"}],"output":[{"type":"Working paper","title":"Conserving Wildlife through Demand Reduction and Supply Alternatives: Two Experiments in Restaurants in Kinshasa","description":"Policy Research Working Paper (PRWP) WPS11016","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099908401072537544\/IDU1e76413ef1d4e314f7a1a2da14d81137d49ee","doi":"https:\/\/doi.org\/10.1596\/1813-9450-11016"}],"datasets":[{"note":"Source: Authors' data collection. Data was collected in November 2023 and anonymized for analysis and data publication. Data are located in the folder \"data\/raw_data\", in the files: \"restaurants_gps_ano.dta\", \"retaurants_menu_ano.xlsx\", \"sales_data_ano.xlsx\".","access_type":"Data is forthcoming in the World Bank Microdata Library.","name":"Data on restaurants sales for selected restaurants in Kinshasa"},{"name":"Data on coupon assignment and attitudes towards wild meat consumption in Kinshasa","note":"Source: Authors' data collection. Data was collected in November 2023 and anonymized for analysis and data publication. Data are located in the folder \"data\/raw_data\", in the files: \"coupon_data_ano.xlsx\", \"survey_data_ano.dta\".","access_type":"Data is forthcoming in the World Bank Microdata Library."}],"software":[{"name":"R","version":"4.2.1"},{"name":"Stata","version":"18.0"}],"scripts":[{"file_name":"RR_COD_2024_223","zip_package":"RR_COD_2024_223.zip","title":"Reproducibility package (code and data) for Conserving Wildlife through Demand Reduction and Supply Alternatives: Two Experiments in Restaurants in Kinshasa","dependencies":"All R dependencies and their versions are listed in the file \"renv.lock\". The Stata code of the reproducibility package does not use dependencies.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank. "}],"title_statement":{"idno":"RR_COD_2024_223","title":"Reproducibility package for Conserving Wildlife through Demand Reduction and Supply Alternatives: Two Experiments in Restaurants in Kinshasa"},"production_date":"2024-11","abstract":"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\u2019 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.","geographic_units":[{"code":"COD","name":"Democratic Republic of the Congo"}],"keywords":[{"name":"wild meat consumption"},{"name":"randomized controlled trials"},{"name":"Central Africa"}],"data_statement":"All data sources are publicly available but not all are included in the reproducibility package.","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"reproduction_instructions":"Users should follow these instructions to reproduce the results:\n1. Download the datasets from the Microdata library.\n2. Change the global path in line 8 of \"merge_survey_with_coupons.do\" and run the do-file\n3. Open the RStudio project \"bushmeat_demand.Rproj\"\n4. Run the code \"renv::init()\" to initialize the renv environment and select option 1 to restore it from the lockfile\n5. Add a Google Maps API key in line 37 of make_figure1.R and activate that line for the code run\n6. In the same RStudio session, run all the scripts in the folder \"scripts\/make_data\" in alphabetical order\n7. In the same RStudio session, run all the scripts in the folder \"scripts\/tables\" in alphabetical order\n8. In the same RStudio session, run all the scripts in the folder \"scripts\/figures\" in alphabetical order","technology_requirements":"Runtime: 5 minutes","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 22H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz 2.90 GHz (2 processors)\n\u2022 Memory available: 128 GB\n\u2022 Software version: Stata 18.0 MP, R 4.2.1","disclaimer":"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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Gabriel Englander","affiliation":"World Bank","email":"aenglander@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}