从移民适应角度调查孟加拉国沿海地区的损失和损害:来自库尔纳和萨特希拉地区的定性研究

WORLD Pub Date : 2024-01-30 DOI:10.3390/world5010005
Sumya Naz, Tasin Islam Himel, Taufiqur Rafi, Sazzadul Islam, Saleha Bushra Neha, Syeda Tabassum Islam, Mahmud Hasan, N. M. Ha-Mim, Md. Zakir Hossain, K. R. Rahaman
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引用次数: 0

摘要

本研究旨在从适应的角度研究沿海地区遭受的损失和破坏。本研究还试图评估在将移民作为减轻损失和破坏对沿海社区影响的重要方法时所采用的适应技术。本研究评估了适应制约因素造成的损失和破坏程度。研究选择了孟加拉国库尔纳省的库尔纳和萨特赫拉两个地区。在这两个地区,研究人员对生活在农村地区、受到气候相关影响和灾害影响的个人进行了二十四次详细访谈和一次焦点小组讨论(FGD)。此外,还对居住在库尔纳市辖区内非正规定居点的气候移民进行了七次访谈。在确定合适的访谈对象的过程中,结合使用了特定标准和滚雪球抽样技术。本研究采用 NVivo 14 软件对访谈获得的文本数据进行主题分析。在编码过程中,我们依次采用了语义编码、潜在编码、分类、模式探索和主题创建等方法,所有这些方法都符合研究目的。研究表明,大多数受影响者利用季节性和临时性迁移作为一种适应策略,以应对气候变化的缓慢影响,如农村地区气温升高和盐度增加,以及当他们的适应能力受到限制时。相反,他们则选择永久性迁移,以应对飓风和河流侵蚀等严重气候事件造成的严格限制,使他们别无选择,只能迁往城市地区。社会网络是影响迁移选择的关键,因为一些家庭的迁移决定取决于城市亲戚和农村邻居提供的信息。然而,并不是所有受影响的人都表示希望搬迁;还有一些人出于对出生地的眷恋和对祖先领地的奉献精神,选择留在农村地区。由于城市生活成本高昂,他们认为选择不迁移是应对气候造成的损失和破坏的更实际的选择。研究结果有助于决策者确定移民战略和政策,以应对孟加拉国沿海人口迁移的不利影响。此外,它还有助于确定应对气候移民在城市和农村环境中所面临挑战的战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Loss and Damage in Coastal Region of Bangladesh from Migration as Adaptation Perspective: A Qualitative Study from Khulna and Satkhira District
This study aims to examine the loss and damage experienced by coastal regions from the perspective of adaptation. It also seeks to evaluate the adaptation techniques employed when migration is utilized as a significant approach to mitigate the effects of loss and damage on coastal communities. This study evaluates the extent of loss and damage caused by constraints on adaptation. Two districts, Khulna and Satkhira, in the Khulna division of Bangladesh, were chosen for the study. In these districts, a total of twenty-four detailed interviews and one focus group discussion (FGD) were conducted with individuals living in rural areas whom climate-related effects and disasters have impacted. Additionally, seven interviews were conducted with climate migrants residing in informal settlements within the words of Khulna City Corporation. The process of identifying appropriate interview candidates involves utilizing a combination of specific criteria and snowball sampling techniques. The study employed NVivo 14 software to conduct theme analysis on textual data obtained from interviews. In the coding procedure, we sequentially employed semantic coding, latent coding, categorization, pattern exploration, and theme creation, all of which were in line with the research aim. The study indicates that most affected persons utilize seasonal and temporary movement as an adaptive strategy to deal with the slow effects of climate change, such as increasing temperatures and salinity in rural regions, and when they encounter limitations in their ability to adapt. Conversely, they opted for permanent migration in response to stringent constraints imposed by severe climate events like cyclones and river erosion, leaving them with no alternative but to move to urban regions. Social networks are crucial in influencing migration choices, as several families depend on information provided by urban relatives and rural neighbors to inform their relocation decisions. Nevertheless, not all individuals impacted by the situation express a desire to relocate; others opt to remain in rural areas due to their sentimental attachment to their birthplaces and a sense of dedication to their ancestral territory. Due to the exorbitant cost of urban life, they believe that opting not to migrate is a more practical option for addressing the repercussions of climate-induced loss and damage. The study’s findings aid policymakers in determining migration strategies and policies to address the adverse effects of coastal population displacement in Bangladesh. Additionally, it aids in determining strategies to address the challenges faced by climate migrants in both urban and rural environments.
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