This study examines the impact of refugee camp hosting on local communities, focusing on the Rohingya crisis in Cox’s Bazar, Bangladesh. It employs one-square kilometer grid-unit remote sensing measurements of annual night light density, deforestation, and land use, alongside with panel data from individuals residing near the camps in 2019 and 2023. By employing a difference-in-difference approach, the study compares areas and individuals situated at varying distances from the camps, both before and after the arrival of the displaced population from Myanmar’s Rakhine State. The results highlight the complex dynamics at play in areas hosting displaced populations. Particularly, the estimates indicate that when proximity of a grid to the refugee camps increases by 30 kms (18.6 miles), night density increases by 1.7 percent and deforestation increases by 0.02 percent. Land use results align with these findings, showing a decline in dense-open forests and an increase in land covered by grass and crops. The analysis of individual-level data is consistent, suggesting that Rohingya’s presence has been reflected on higher demand for formal jobs, better aid access, and more food consumption and variety largely attributed to the activities of humanitarian organizations. However, the presence of the displaced Rohingya population is also associated with heightened safety concerns and a higher prevalence of viral diseases such as diarrhea, fever, and cough.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in a computer with the following specifications:
• OS: Windows 11 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)
• Memory available: 15.7 GB
• Software version: Stata 18
~10 minutes runtime
The follow-up survey data is currently not available, and therefore, the package will not run completely at this time. However, the package is expected to be amended to include the entire dataset in the future.
Despite these limitations, this package includes detailed code, partial data, and a comprehensive reproducibility report to outline the analytical processes used by the authors. These resources aim to aid replicators in understanding and evaluating the methodologies employed, despite the inability to independently verify the exact results due to data access restrictions.
Most of the data used for this study is publicly available. However, one of the main sources, the Cox's Bazar Panel Survey, was provided directly by the Bangladesh Country Office and the follow-up is not yet publicly available. The Cox's Bazar Panel Survey Follow up is expected to be made public in the future.
Author | Affiliation | |
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Alvin Etang Ndip | World Bank | aetangndip@worldbank.org |
Sandra V. Rozo | World Bank | sandrarozo@worldbank.org |
María José Urbina | World Bank | murbinaflorez@worldbank.org |
Christina Wieser | World Bank | cwieser@worldbank.org |
2024-06
Location | Code |
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Bangladesh | BGD |
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.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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María José Urbina | World Bank | murbinaflorez@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 |
2024-06-20
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