Revisions of the global multidimensional poverty index: indicator options and their empirical assessment

Alkire, Sabina; Kanagaratnam, Usha

doi:10.1080/13600818.2020.1854209

Cited by 72 publications

(84 citation statements)

References 16 publications

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“…Table 3 shows that in all countries for which national MPI age disaggregations have been performed and reported, the findings suggest that children live, on average, more frequently in poor households than adults. Similarly, in at least 84 out of 107 countries included in the 2020 global MPI, multidimensional poverty incidence among children was unambiguously higher (non-overlapping 95%-level confidence intervals) than among adults and in no country were adults significantly more frequently at home in multidimensionally poor households than children [80]. Findings of age disaggregation thus clearly support the prioritisation of children's deprivations when these are being considered as part of all-population MPIs, reinforcing the advantage of integrated measurement that does allow for such straightforward juxtapositions by disaggregation.…”

Section: Country Example(s)mentioning

confidence: 97%

Children and Multidimensional Poverty: Four Measurement Strategies

Dirksen

Alkire

2021

Sustainability

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Empirically, official multidimensional measures of poverty often show children to be the poorest age group. Such poverty measures and their analysis can be used to directly inform policies to reduce children’s multiple deprivations. This paper introduces methods to produce official national statistics on multidimensional poverty that inform child-focused anti-poverty policies. In doing so, it recognises the importance of parsimonious, consistent measures, given practical constraints such as policy makers’ time. The paper does not recommend constructing several disjoint poverty measures which cannot be straightforwardly interpreted and used alongside one another, as these may create confusion or dilute policy attention. To create a compact and high-information measurement platform, the paper introduces four measurement strategies that have been used to directly uncover policy-relevant data on children’s experience of multidimensional poverty, and that are consistent with official population-level statistics. The four are as follows: (1) Include children’s deprivations as indicators of multidimensional poverty in national measures. (2) Disaggregate multidimensional poverty indices and their associated information platform to compare children and adults. (3) Analyse individual child deprivations and explore gendered and intra-household inequalities. (4) Construct an individual measure of child multidimensional poverty that is directly linked to the official national measure, but contains additional indicators across the life course of children. The paper illustrates these four strategies and the child-relevant statistics they yield, using examples from official poverty measures and previous research. It discusses the strengths and challenges of each method from conceptual, policy, and technical perspectives, and examines how they can be used for descriptive and prescriptive purposes in line with the Sustainable Development Goals.

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Section: Country Example(s)mentioning

confidence: 97%

Children and Multidimensional Poverty: Four Measurement Strategies

Dirksen

Alkire

2021

Sustainability

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“…Nghiên cứu này có thể giúp các nhà hoạch định chính sách hiểu rõ hơn về đói nghèo tại địa phương bằng cách xác định người nghèo, xác định vị trí và mô tả các đặc điểm của họ, để có các biện pháp giảm nghèo theo các điều kiện cụ thể của từng quận. Alkire và Kanagaratnam 19 đã thực hiện nghiên cứu về "Sửa đổi chỉ số nghèo đa chiều toàn cầu: các lựa chọn chỉ số và đánh giá thực nghiệm". Nghiên cứu kiểm tra, đánh giá giữa lý luận quy chuẩn đã được được áp dụng và thực tiễn các chỉ báo khác nhau để sửa đổi, bổ sung chỉ số MPI năm 2018, với mục tiêu là phù hợp hơn với SDGs.…”

Section: Tổng Quan Nghiên Cứu đO Lường Nghèo đA Chiềuunclassified

Assessment of multi-dimensional poverty in Quang Ngai province

Huynh

2021

Sci. Tech. Dev. J. Econ. Law. Manag.

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According to the multidimensional poverty line applied for the period 2016 - 2020, the quality of life of impoverished people in Quang Ngai province was dramatically low, forcing residents to face up to a serious shortage of basic social needs. Poverty in terms of their income was the main factor in the poverty structure of Quang Ngai province (generally over 90% of the total poor households). By 2020, the number of poor households who missed the criteria of hygienic toilets was the highest, accounting for 59.59% of the total number of poor households. The figures for the inaccessibility of the marginalized to basic needs were disproportionately high, with 40.64% people lacking telecommunications services such as telephones or the Internet, 40.59% using unhygienic water sources, 35.09% having a housing area per capita of less than 8 square meters and 33.53% living in temporary houses. The indicator with the least deficiency rate was the children’s schooling status and access to health services. However, the number of households whose members did not possess health insurance was extremely high, which might potentially bear the risk of households falling back into the poverty status when a member of the family gets a disease. Changes in multidimensional poverty show that although urban areas have a high rate of people escaping from poverty, the rate of households falling back to poverty status is also higher than that of rural areas; The rate of households falling into poverty in rural areas is much higher than that in urban areas. The Covid 19 pandemic and natural disasters which occurred in 2020 also significantly contributed to increasing the number of poor households. In order to reduce poverty and improve people's capacity to access basic social services, Quang Ngai province needs to pay attention to creating livelihoods, promoting the achievements of education universalization and the health insurance system, and improving the efficiency of investment in infrastructure on the basis of integrating the Target Programs.

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“…In recent literature, the practice has been to measure poverty across multiple domains, including health, education, economy, and environment. A growing number of studies have estimated multidimensional poverty both globally and nationally [ 11 , 12 ]. In the recent years, the Oxford Poverty and Human Development Initiative (OPHI) has been providing global estimates of multidimensional poverty for more than 100 countries [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…A growing number of studies have estimated multidimensional poverty both globally and nationally [ 11 , 12 ]. In the recent years, the Oxford Poverty and Human Development Initiative (OPHI) has been providing global estimates of multidimensional poverty for more than 100 countries [ 12 ]. The Sustainable Development Goal (SDG) 1 aims to eradicate extreme poverty in all its forms everywhere while SDG-3 aims to end the TB epidemic by 2030 [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Association of multidimensional poverty and tuberculosis in India

2021

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Background Reduction of multidimensional poverty and tuberculosis are priority development agenda worldwide. The SDGs aims to eradicate poverty in all forms (SDG 1.2) and to end tuberculosis (SDG 3.3.2) by 2030. While poverty is increasingly being measured across multiple domains, reduction of tuberculosis has been an integral part of public health programmes. Though literature suggests a higher prevalence of tuberculosis among the economically poor, no attempt has been made to understand the association between multidimensional poverty and tuberculosis in India. The objective of this paper is to examine the association of multidimensional poverty and tuberculosis in India. Methods The unit data from the National Family Health Survey-4, conducted in 2015–16 covering 628,900 households and 2,869,043 individuals across 36 states and union territories of India was used in the analysis. The survey collected information on the self-reported tuberculosis infection of each member of a sample household at the time of the survey. Multidimensional poverty was measured in the domains of education, health, and standard of living, with a set of 10 indicators. The prevalence of tuberculosis was estimated among the multidimensional poor and non-poor populations across the states of India. A binary logistic regression model was used to understand the association of tuberculosis and multidimensional poverty. Results Results suggest that about 29.3% population of India was multidimensional poor and that the multidimensional poverty index was 0.128. The prevalence of tuberculosis among the multidimensional poor was 480 (95% CI: 464–496) per 100,000 population compared to 250 (95% CI: 238–262) among the multidimensional non-poor. The prevalence of tuberculosis among the multidimensional poor was the highest in the state of Kerala (1590) and the lowest in the state of Himachal Pradesh (220). Our findings suggest a significantly higher prevalence of tuberculosis among the multidimensional poor compared to the multidimensional non-poor in most of the states in India. The odds of having tuberculosis among the multidimensional poor were 1.82 times higher (95% CI, 1.73–1.90) compared to the non-poor. Age, sex, smoking, crowded living conditions, caste, religion, and place of residence are significant socio-demographic risk factors of tuberculosis. Conclusion The prevalence of tuberculosis is significantly higher among the multidimensional poor compared to the multidimensional non-poor in India.

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Revisions of the global multidimensional poverty index: indicator options and their empirical assessment

Cited by 72 publications

References 16 publications

Children and Multidimensional Poverty: Four Measurement Strategies

Children and Multidimensional Poverty: Four Measurement Strategies

Assessment of multi-dimensional poverty in Quang Ngai province

Association of multidimensional poverty and tuberculosis in India

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