Vulnerability to Multi-Dimensional Poverty: An Empirical Comparison of Alternative Measurement Approaches

Azeem, Muhammad Masood; Mugera, Amin; Schilizzi, Steven

doi:10.1080/00220388.2017.1344646

Cited by 42 publications

(34 citation statements)

References 57 publications

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“…Our goal is to focus on this state in order to highlight the performance of 27 municipalities directly or indirectly affected by sector-based projects. The analysis is based on georeferentiated data (Lelo, 2011) from the last IBGE ‡ ‡ census (1991, 2000 and 2010) and takes three indicators into account: the income per capita, the percentage of population vulnerable to poverty and the inequality (Sen, 2005;Ehrhart, 2009;Azeem et al, 2017;Santos et al, 2017;Menshikov et al, 2017 The more recent the year, the higher the income per capita in all groups. However, the data shows better results in terms of income increase than in terms of decrease of vulnerability to poverty.…”

Section: National Programmes Between Economic Growth and Human Developmentmentioning

confidence: 99%

The Brazilian Amazon: a resource curse or renewed colonialism?

Iorio¹,

Monni²,

Brollo³

2018

JESI

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The aim of this paper is to highlight the effect of the endowment of resources on development through the analysis of the impact of national strategy, both at a regional and local level. The research focuses on the Legal Amazon † , through the georeferenced analysis of socio-economic data from the last three censuses (1991, 2000 and 2010), in order to demonstrate how the Brazilian national energy strategy is contributing to the perpetuation of the phenomenon of the endowment trap ‡ at a regional level. Despite boosting the national growth, the concentration of sector-based projects in resource-abundant areas is unable to eradicate inequalities, which in turn perpetuates the path dependence § .

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Section: National Programmes Between Economic Growth and Human Developmentmentioning

confidence: 99%

The Brazilian Amazon: a resource curse or renewed colonialism?

Iorio¹,

Monni²,

Brollo³

2018

JESI

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“…Specifically, Gloede et al evaluated more than 4000 households in Thailand and Vietnam to measure the degree of risk for household poverty [27], while Gallardo et al adopted the multidimensional poverty vulnerability measurement approach based on mean risk behavior to analyze Chile's vulnerability to poverty using the multidimensional poverty vulnerability index (MPVI) [28]. Azeem et al compared the ex-post poverty and the ex-ante vulnerability to poverty of households and considered that most vulnerable households could be accurately identified through ex-ante measures of vulnerability to poverty [29]. Omotoso et al focused on the issue of child poverty and believed that vulnerable "non-poverty-stricken" children were more vulnerable to poverty than children living in chronic poverty [30].…”

Section: Introductionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

et al. 2021

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The COVID−19 pandemic has significantly impacted the economy and livelihoods of people worldwide. To analyze the impact of the pandemic on material conditions, income levels, health conditions, industrial development and employment opportunities of farmers in China’s rural areas, especially poor areas and explore whether farmers can achieve stable poverty eradication during the COVID−19 pandemic, we interviewed 2662 farm households in poverty−stricken areas of China and used the multidimensional poverty measurement model, three−step feasible generalized least squares and propensity score matching to analyze data. We achieved the following results. First, the overall level of multidimensional poverty vulnerability index (MPVI) of the surveyed households was low and the MPVI of each dimension varied significantly. The MPVI of households in the treated group was higher than that of the control group. Second, COVID−19 increased farm households’ vulnerability to multidimensional poverty in poverty−stricken regions; MPVI increased by 27.9%. Third, COVID−19′s impact on various dimensions differed: the greatest impact was on the vulnerability to health deprivation, followed by industrial development, employment and income deprivation. However, the pandemic slightly reduced the vulnerability to material deprivation. Finally, we proposed various measures in response to the impact of the pandemic to assist farm households in poverty−stricken areas.

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“…For instance, defining vulnerability as the insight to poverty status in at least one period in the future and for forecasting trend (Pritchett, Suryahadi and Sumarto 2000;Feeny & McDonald, 2016), by considering risk profiles using expected low utility (Ligon and Schecter2003), and by describing the dynamic nature of this concept regarding future macroeconomic shocks (Glewwe and Hall 1998;Alfani et al, 2019). The choice to measure is essential when examing the ex-post poverty, but it is not as important when analyzing the ex-ante vulnerability with respect to poverty (Azeem et al, 2018).…”

Section: Background and Empirical Strategymentioning

confidence: 99%

Application of Geographic Information Systems (GIS) for Measuring the Impact Income Vulnerability on Rural Households: A Case Study of the 2010 Floods in Pakistan

Saleem¹,

Mizunoya²,

Yabar³

et al. 2020

JSD

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While the economic impact of natural disasters has been studied extensively, there are rather few studies that have addressed their impact on household income. This research tries to fill this gap by analyzing their actual effect on household income caused by the 2010 floods. We look at the impact of natural disasters on rural households in Pakistan after a massive flooding event in 2010. We used the difference-in-difference (DID) approach, which showed statistical significance at 1 percent. We also calculated the household distance from the rivers to see how vulnerable household income is to such kinds of shock-like floods. The results showed that the sample households living near had more impact as compared to the ones living far. Stata and Geographical Information System (GIS) software packages have been used for regression analysis and calculation of distance, respectively. This research will not only give insight in order to understand household income losses but will allow government, policymakers, and International Aid agencies to plan, make countermeasure strategies before designing post-disaster projects. After taking into account the effect of floods, which tend to have far more impact on the households, which are located near the source of the flooding. In this case, they need to focus more in terms of reconstruction of infrastructure, particularly for the households which are near these flooded areas. Firstly, this finding can give policymakers insight in terms of strategies to develop agriculture and non-agriculture employment opportunities. Secondly, it is essential to reduce income vulnerability and improve rural household finance economic conditions.

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Vulnerability to Multi-Dimensional Poverty: An Empirical Comparison of Alternative Measurement Approaches

Cited by 42 publications

References 57 publications

The Brazilian Amazon: a resource curse or renewed colonialism?

The Brazilian Amazon: a resource curse or renewed colonialism?

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

Application of Geographic Information Systems (GIS) for Measuring the Impact Income Vulnerability on Rural Households: A Case Study of the 2010 Floods in Pakistan

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