Multidimensional Poverty Index and Happiness

Strotmann, Harald; Volkert, Jürgen

doi:10.1007/s10902-016-9807-0

Cited by 26 publications

(16 citation statements)

References 40 publications

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“…Moreover, the income-life satisfaction relationship in this study was comparable to the average r effect size of 0.28 computed for low-income samples in developing countries in Howell and Howell's (2008) meta-analysis. The current study also confirms the results of research reporting a negative relationship between the MPI and life satisfaction in people living in the poorest districts of Peru (Mateu et al, 2020) and India (Strotmann & Volkert, 2018).…”

Section: Discussionsupporting

confidence: 90%

Life Satisfaction among the Poorest of the Poor: A Study in Urban Slum Communities in India

Sulkers

Loos

2022

Psychol Stud

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This study investigates the level and predictors of life satisfaction in people living in slums in Kolkata, India. Participants of six slum settlements (n = 164; 91% female) were interviewed and data on age, gender, poverty indicators and life satisfaction were collected. The results showed that the level of global life satisfaction in this sample of slum residents did not significantly differ from that of a representative sample of another large Indian city. In terms of life-domain satisfaction, the slum residents were most satisfied with their social relationships and least satisfied with their financial situation. Global life satisfaction was predicted by age, income and non-monetary poverty indicators (deprivation in terms of health, education and living standards) (R2 15.4%). The current study supports previous findings showing that people living in slums tend to report higher levels of life satisfaction than one might expect given the deprivation of objective circumstances of their lives. Furthermore, the results suggest that factors other than objective poverty make life more, or less, satisfying. The findings are discussed in terms of theory about psychological adaptation to poverty.

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Section: Discussionsupporting

confidence: 90%

Life Satisfaction among the Poorest of the Poor: A Study in Urban Slum Communities in India

Sulkers

Loos

2022

Psychol Stud

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“…Very few studies examine the relationship between over-indebtedness and poverty based on non-monetary measure of poverty. Recently, using the concept of multidimensional poverty (Strotmann & Volkert, 2016) demonstrated that debt problems have significant negative impact on wellbeing. Over-indebted households also have a higher rate of basic deprivation (Russell et al, 2011).…”

Section: Debt-poverty Nexusmentioning

confidence: 99%

The threshold effects of household indebtedness on multidimensional poverty

Ntsalaze

Ikhide

2017

IJSE

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DeclarationBy submitting this dissertation electronically, I declare that the entirety of the work contained therein is my own, original work, that I am the sole author thereof (save to the extent explicitly otherwise stated), that reproduction and publication thereof by Stellenbosch University will not infringe any third party rights and that I have not previously in its entirety or in part submitted it for obtaining any qualification.This dissertation includes two published and one accepted but not yet published original papers in peer-reviewed international journals. The fourth paper representing chapter eight is ready for submission for peer review. The development and writing of the papers (published and unpublished) were the principal responsibility of myself and, for each of the cases where this is not the case, a declaration is included in the dissertation indicating the nature and extent of the contributions of co-authors. AbstractGlobal household indebtedness has reached unprecedented levels over the past few decades.The household sector has had to cope with significant losses in income and wealth as well as the burden of debt service since the beginning of the financial crisis. Research focus on this phenomenon, together with its social implications, has grown. This study uses the National Income Dynamics Study (NIDS) data to empirically investigate the effects of household debt on multidimensional poverty. This was achieved through four independent research papers meant to address different angles of the subject. Chapter 5 provides a snapshot of the prevalence of over-indebtedness, using various international indicators and the National Credit Regulator (NCR) indicator, and describes which households are over-indebted. A total of eight percent of South African households are overindebted, and 61.4 percent of those households are found in the lowest income category (R0 -R2 000), spending more than 45 percent of their household income on debt repayments, which is beyond levels that are considered sustainable. The alarming revelation is that, according to the unsecured debt indicator, 15.2 percent of households are over-indebted, while 11 percent of households are driven below the relative income poverty line after making debt repayments. Stellenbosch University https://scholar.sun.ac.za 3The racial distribution indicates that households headed by Africans are overrepresented (79%).Most over-indebted households are found amongst those who own their places of residence (78.6%), do not receive government grants (71.7%), are male (53.8%), and have an unemployed household head (53.5%).Chapter 6 examines the presence of thresholds in the debt-poverty nexus at micro level, i.e. the tipping point above which debt is associated with more multidimensional poverty. By applying the Generalised Additive Model (GAM) using regression splines, the study finds the existence of critical tipping points between household debt service-to-income ratio and multidimensional poverty along with other explanatory variables (age...

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“…It is also worth noting that recent studies have paid increasing attention to poverty reduction from the perspective of multidimensionality (e.g. income, health, and education) (Alkire & Foster, 2011 ; Nowak & Scheicher, 2017 ; Strotmann & Volkert, 2018 ). We argue that knowledge of the relationship between mobile Internet use and multidimensional poverty would provide important insights for policymakers as to what sorts of interventions might be used in reducing multidimensional poverty.…”

Section: Introductionmentioning

confidence: 99%

Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China

Yang

Wang

et al. 2021

Soc Indic Res

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Although reducing poverty has become an important issue for rural development in China, few studies have analyzed the role of mobile Internet use in multidimensional poverty. To fill this gap, this study investigated the impact of mobile Internet use on multidimensional poverty, using data collected from a household survey in rural China. Because households generally decide whether to use mobile Internet by themselves, an endogenous switching regression model was employed to control for potential selection bias. In total, 9.63% of the households were identified as multidimensionally poor and the adjusted multidimensional poverty incidence was 5.47%. The results also showed that mobile Internet use has a significant negative impact on multidimensional poverty. Further, we provide evidence of heterogeneity in the effect of mobile Internet use across regions. These findings highlight the importance of mobile Internet use in multidimensional poverty reduction strategies for rural households.

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Multidimensional Poverty Index and Happiness

Cited by 26 publications

References 40 publications

Life Satisfaction among the Poorest of the Poor: A Study in Urban Slum Communities in India

Life Satisfaction among the Poorest of the Poor: A Study in Urban Slum Communities in India

The threshold effects of household indebtedness on multidimensional poverty

Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China

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