School of Management, Hainan University, Haikou, 570228, Hainan Province, China.
VNU University of Economics and Business-Vietnam National University, Hanoi, Vietnam.
Environ Sci Pollut Res Int. 2023 Feb;30(6):16106-16119. doi: 10.1007/s11356-022-23143-0. Epub 2022 Sep 30.
Poverty is a multifaceted and location-based issue that cannot be quantified using monetary metrics alone. This study aims to evaluate the multidimensional poverty status of poor households in Ha Giang province, Vietnam, by using the DFID (Department for International Development) sustainable livelihood framework, an integrating technique for spatial recognition of multidimensional poverty, was developed and deployed to conduct a county-level poverty assessment in rural Vietnam. The multidimensional poverty standard is considered a novel approach to assess poverty, identify causes of poverty, and encourage poor households to sustainably escape poverty. A household survey was conducted in three rural districts, namely Dong Van, Hoang Su Phi, and Bac Quang in Ha Giang province, Vietnam, during 2016 to 2021. The results of the study show that surveyed households are deficient in all five main sources of livelihood, in which the three most deficient capital sources are natural capital, social capital, and financial capital. The findings revealed that the majority of farming households were classified as multidimensionally poor. The multidimensionally poor regions were not only poorer in single-dimensional and aggregate ratings than the income-poor and recognized poor regions, but they also had several vulnerabilities and insecurity. The assessment of multidimensional poverty, by distinguishing the poor, marginalized, and dispossessed dimensions, should be extremely beneficial for each region to design and execute poverty reduction programs accordingly, and it would contribute to improving the persistence of alleviating poverty. The article also proposes a number of sustainable poverty reduction measures, in which the root is to improve the spirit of self-raising to escape poverty of households.
贫困是一个多方面的、基于地点的问题,不能仅用货币指标来量化。本研究旨在通过使用 DFID(国际发展部)可持续生计框架评估越南河江省贫困家庭的多维贫困状况,这是一种用于多维贫困空间识别的综合技术,已被开发并部署用于在越南农村进行县级贫困评估。多维贫困标准被认为是评估贫困、确定贫困原因和鼓励贫困家庭可持续脱贫的一种新方法。2016 年至 2021 年期间,在越南河江省的东川、黄沙和巴库三个农村地区进行了家庭调查。研究结果表明,调查家庭在所有五个主要生计来源方面都存在不足,其中最缺乏的三种资本来源是自然资本、社会资本和金融资本。研究结果表明,大多数农户被归类为多维贫困。多维贫困地区不仅在单一维度和综合评级方面比收入贫困和公认贫困地区更贫困,而且还存在多种脆弱性和不安全性。通过区分贫困人口、边缘化人口和被剥夺人口的多维贫困评估,对每个地区制定和执行相应的减贫计划将非常有益,并有助于提高脱贫的可持续性。本文还提出了一些可持续减贫措施,其根本是提高家庭脱贫的自强精神。