Static and Dynamic Disparities between Monetary and Multidimensional Poverty Measurement: Evidence from Vietnam

Tran, Van Quang; Alkire, Sabina; Klasen, Stephan

doi:10.1108/s1049-258520150000023008

Cited by 41 publications

(33 citation statements)

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“…Across nine European countries, Whelan, Layte, and Maître (2004) found mismatches between income poverty and material deprivation. Using longitudinal data for Vietnam, Tran, Alkire and Klasen (2015) observed that the overlap between income poverty and multidimensional poverty was even less than 50%. For further discussions on relevant studies, see , Ch 1.…”

Section: Non-monetary Standard Of Livingmentioning

confidence: 99%

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

Bag

Seth

2017

Soc Indic Res

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As part of Sustainable Development Goals, the United Nations have set targets of upgrading slums and reducing poverty in all its dimensions by 2030. Policies towards improving the living conditions of slum-dwellers require proper assessment of their standard of living as well as understanding the associated characteristics. In this paper, using slum-level primary household survey data from three largest Indian cities, we, first, assess the standard of living of slum dwellers using both monetary and non-monetary approaches and then explore how various household and spatial characteristics are consistently or differently associated with both forms of assessments. We use standard monetary indicators, but to assess non-monetary standard of living, use a counting approach framework and justify the selection of specific indicators in the context of slums. Our analysis yields some interesting observations as some characteristics are differently associated with monetary and non-monetary living standards, which should affect policy designs in slums.

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Section: Non-monetary Standard Of Livingmentioning

confidence: 99%

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

Bag

Seth

2017

Soc Indic Res

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“…Vietnam has been one of the most successful countries in the developing world in terms of economic growth and poverty reduction. he rapid economic growth, together with market liberalization and trade openness that took place during the last two decades, has lited a large share of the population out of poverty (see Tran, Alkire, and Klasen 2015). Nonetheless, poverty is still a central issue in the country as nearly 43 percent of the population still lives on less than $2 a day (World Bank 2013), and many people earn their living by engaging in agricultural activities.…”

Section: Income Diversity and Poverty Transitions: Evidence From Vietnammentioning

confidence: 99%

Income Diversity and Poverty Transitions: Evidence from Vietnam

Tran

2016

World Food Policy

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The large share of the population in rural areas of the developing world has been diversifying their livelihood to nonagricultural activities. However, the amount of the literature that discusses the possible effects of the diversity on a household's well‐being is still limited. This study contributes to this strand of the literature by investigating the effects of income diversity on poverty transitions. The analysis is based on household panel data collected in the 2000s from Vietnam and applied to a multinomial logit model. The results show that households with better access to markets are more able to diversify their income sources to nonagricultural activities and the diversity is helpful for a household to escape poverty or to avoid falling into poverty.

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“…A few studies have investigated the role of household characteristics in explaining discrepancies between monetary and multidimensional poverty using survey data and regression modelling. Research in South Africa and Vietnam find that household size, gender and education of the household head and ethnicity are associated with varying levels of poverty mismatch (Klasen, 2000;Tran et al, 2015). With respect to children, a study in Tanzania found the degree of mismatch between monetary and non-monetary child poverty to be larger for lower levels of maternal education (Ballón et al, 2016).…”

Section: Individualistic Factorsmentioning

confidence: 99%

“…Migration as a result of lack of economic opportunities, for example, may lead to greater economic resources for the family but also leave children without parental care with potential negative consequences for wellbeing and care (Gassmann et al, 2013). Geographical indicators can be used as proxies to investigate the role of socioeconomic conditions, with studies finding differential poverty outcomes depending on residence in urban or rural areas or particular districts (Klasen, 2000;Tran et al, 2015).…”

Section: Structural Factorsmentioning

confidence: 99%

“…By capitalising on secondary quantitative panel data and combining this with the analysis of purposively collected qualitative data from multiple stakeholders, findings shed unique light on drivers of poverty mismatch and provide impetus into policies aiming to reduce all forms of child poverty. This study focuses on Ethiopia and Vietnam, representing countries with rapid poverty reduction but considerable mismatch between monetary and multidimensional poverty (OPHI, 2015;Tran et al, 2015;World Bank, 2015). Exploring poverty mismatch in diverse country contexts allows for learning lessons from across low-and middle-income country contexts and regional specificities.…”

Section: Introductionmentioning

confidence: 99%

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Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

Roelen

2018

Eur J Dev Res

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An expanding evidence base suggests that children experiencing monetary and multidimensional poverty are not the same. This article breaks new ground by providing a unique mixed methods investigation of drivers of child poverty mismatch in Ethiopia and Vietnam, considering the role of measurement error and individualistic and structural factors. The analysis capitalises on large-scale secondary quantitative panel data and combines this with purposively collected primary qualitative data in both countries. It finds that factors at the household and structural level can mediate the effects of monetary poverty in terms of multidimensional poverty and vice versa, but that the size and sign of these effects are specific to place and time. The policy mix aiming to reduce all forms of child poverty need to be targeted on the basis of a multidimensional assessment of poverty and reflect the complex and contextspecific interactions between determinants of child poverty.Une base de données croissante suggère que les enfants qui connaissent une pauvreté monétaire sont différents de ceux qui connaissent une pauvreté multidimensionnelle. Cet article ouvre une nouvelle voie en fournissant une analyse unique sur les facteurs entrainant un déséquilibre de la pauvreté infantile en É thiopie et au Vietnam, en utilisant des méthodes mixtes et en considérant le rôle de l'erreur de mesure et des facteurs individualistes et structurels. L'analyse s'appuie sur des données d'un panel quantitatif secondaire à grande échelle et les combines avec des données qualitatives primaires recueillies délib-érément dans les deux pays. Elle constate que les facteurs au niveau des ménages et de la structure peuvent agir comme médiateurs des effets de la pauvreté monétaire en termes de pauvreté multidimensionnelle et vice et versa, mais que le taille et le signe de ces effets sont spécifiques au lieu et au temps. Le dosage des politiques visant à réduire toutes les formes de pauvreté infantile doit être ciblé sur la base d'une évaluation multidimensionnelle de la pauvreté et refléter les interactions complexes et contextuelles entre les déterminants de la pauvreté infantile.

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Static and Dynamic Disparities between Monetary and Multidimensional Poverty Measurement: Evidence from Vietnam

Abstract: This study has been prepared within the OPHI theme on multidimensional measurement.

Cited by 41 publications

References 43 publications

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

Income Diversity and Poverty Transitions: Evidence from Vietnam

Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

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