Impacts of refugee influx on the local economy and environmental degradation in Bangladesh: A spatial multilevel autoregressive analysis

IF 5.4 1区 经济学 Q1 DEVELOPMENT STUDIES World Development Pub Date : 2024-07-31 DOI:10.1016/j.worlddev.2024.106729
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Abstract

The number of people who have been forcibly displaced has increased steadily over the past decade. The recent Rohingya refugee exodus of an estimated 700,000 individuals surging into Bangladesh from Myanmar is just one example of this growing issue. Refugees generally affect the economic and social conditions and the local environment where they resettle. This study aims to examine the impacts of the Rohingya refugee influx on livelihood choice and income status in the host community as well as local environmental degradation. We conducted a questionnaire survey in all 147 villages of the Teknaf Upazila before and after the Rohingya refugee influx that included 5,769 and 6,825 households respectively. We used land cover maps created from remote sensing images to assess the region’s environmental degradation in a holistic fashion. Inherent regional characteristics may affect livelihood choice and income; therefore, we applied two statistical modeling approaches to mitigate such inherent regional biases—Multilevel Modeling and Multilevel Intrinsic Conditional Autoregressive Modeling. The statistical analyses used a combination of the household survey results and the land cover maps. Our study found significant income decreases between the two study periods, specifically among those engaged in farming and miscellaneous labor work. Furthermore, farmers with small agricultural land were crowded out of farming as a livelihood. The results also revealed the natural resource dependency of the host community and its association with ongoing environmental degradation. We located those who were left behind and did not benefit from relief interventions in the middle-south area and the middle of the west coast—this was likely due to geographical and topographical disadvantages. Our results illuminated the limitations of the current humanitarian system and emphasized the need for a sustainable perspective to be more strongly incorporated into future humanitarian efforts.

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难民潮对孟加拉国当地经济和环境退化的影响:空间多层次自回归分析
过去十年来,被迫流离失所的人数持续增加。最近,估计有 70 万罗辛亚难民从缅甸涌入孟加拉国,这只是这一日益严重问题的一个例子。难民通常会影响其定居地的经济和社会条件以及当地环境。本研究旨在探讨罗兴亚难民潮对收容社区的生计选择和收入状况以及当地环境退化的影响。在罗兴亚难民涌入之前和之后,我们对 Teknaf Upazila 的所有 147 个村庄进行了问卷调查,分别包括 5769 户和 6825 户家庭。我们利用遥感图像绘制的土地覆盖图,对该地区的环境退化情况进行了全面评估。固有的区域特征可能会影响生计选择和收入;因此,我们采用了两种统计建模方法来减轻这种固有的区域偏差--多层次建模和多层次内在条件自回归建模。统计分析结合使用了住户调查结果和土地覆被图。我们的研究发现,在两个研究期间,农民收入明显减少,尤其是从事农业和杂项劳动的农民。此外,拥有小块农田的农民被挤出了以农业为生的行列。研究结果还揭示了东道社区对自然资源的依赖及其与持续环境退化的关联。我们发现,中南部地区和西海岸中部的灾民没有从救济措施中受益,这很可能是由于地理和地形上的劣势造成的。我们的研究结果揭示了当前人道主义体系的局限性,并强调有必要将可持续观点更有力地纳入未来的人道主义工作中。
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来源期刊
World Development
World Development Multiple-
CiteScore
12.70
自引率
5.80%
发文量
320
期刊介绍: World Development is a multi-disciplinary monthly journal of development studies. It seeks to explore ways of improving standards of living, and the human condition generally, by examining potential solutions to problems such as: poverty, unemployment, malnutrition, disease, lack of shelter, environmental degradation, inadequate scientific and technological resources, trade and payments imbalances, international debt, gender and ethnic discrimination, militarism and civil conflict, and lack of popular participation in economic and political life. Contributions offer constructive ideas and analysis, and highlight the lessons to be learned from the experiences of different nations, societies, and economies.
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