The New Global MPI 2018: Aligning with the Sustainable Development Goals
The New Global MPI 2018: Aligning with the Sustainable Development Goals
复制标题
2018 年新全球 MPI：与可持续发展目标保持一致
DOI：
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Sabina Jahan
中科院分区：
文献类型：
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作者：
Sabina Jahan
2018年初，联合国开发计划署人类发展报告办公室（HDRO）和牛津贫困与人类发展倡议（OPHI）同意调整和统一贫困衡量方法，并考虑改进指标，以更好地监测可持续发展目标（SDG）。本文阐述了 2018 年首次发布的全球联合多维贫困指数的规格，该指数是一种具有国际可比性的严重贫困衡量标准，反映了穷人在健康、教育和生活水平方面所经历的多重剥夺。它以 2010 年推出的原始 MPI 和 2014 年推出的创新 MPI 为基础。2018 年全球联合 MPI 中包含了这两者的最佳功能，这也反映了新数据的可能性，使全球 MPI 更好地与可持续发展目标保持一致。由于修订 MPI 以建立一个更可信、更合法的多维贫困衡量标准，以便能够利用现有数据进行各国之间的比较，这一目标很难实现，因此本文首先提出了与数据覆盖范围、可传播性、可比性、分解和稳健性相关的全球贫困衡量标准的五个关键原则。然后，本文借鉴专家干预、全球咨询、实证试验和这些原则，从概念上解释了对十个指标中的五个指标进行调整的动机和性质。它还认识到由于数据限制而无法做出的理想改变——例如包括有关环境、工作和安全或家庭内部不平等的数据。它还确定了与家庭构成以及土地和牲畜变量的使用有关的未来研究的关键问题。
Early in 2018, the United Nations Development Program’s Human Development Report Office (HDRO) and the Oxford Poverty and Human Development Initiative (OPHI) agreed to adjust and unify their methodologies on poverty measurement and consider indicator improvements, in order to better monitor the Sustainable Development Goals (SDGs). This paper sets out the specifications of a joint global Multidimensional Poverty Index first published in 2018, which is an internationally comparable measure of acute poverty that captures the multiple deprivations poor people experience with respect to health, education and living standards. It builds on the original MPI launched in 2010, and an innovative MPI launched in 2014. The best features of both of these are subsumed in the joint global MPI 2018, which also reflects new data possibilities to better align the global MPI to the Sustainable Development Goals. Because the objective of revising the MPI to create a more credible and legitimate measure of multidimensional poverty that enables comparisons across countries using existing data was challenging to realize, the paper first sets out five key principles for a global poverty measure related to data coverage, communicability, comparability, disaggregation, and robustness. Drawing on expert interventions, a global consultation, empirical trials, and these principles, the paper then explains conceptually the motivation and nature of adjustments that were made to five of the ten included indicators. It also recognizes desirable changes that could not be made due to data constraints – for example including data on the environment, work, and security, or on intrahousehold inequalities. And it identifies key issues for future research related to household composition and the use of land and livestock variables.
影响因子：
1
作者：
Alkire, Sabina;Jindra, Christoph;Vaz, Ana
通讯作者：
Vaz, Ana
影响因子：
6.9
作者：
Alkire, Sabina;Roche, Jose Manuel;Vaz, Ana
通讯作者：
Vaz, Ana