Measuring Vulnerability to Multidimensional Poverty

Gallardo, Mauricio

doi:10.1007/s11205-019-02192-y

Cited by 51 publications

(41 citation statements)

References 54 publications

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“…Vulnerability to poverty has been analyzed using latent transition analysis [23] and multilevel models [24], whereby individual and household vulnerabilities to poverty have been linked to socioeconomic characteristics [25,26]. 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].…”

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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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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“…These features are all based on multidimensional relative poverty measurements. Previously, poverty measurement was often based on the family [ 8 , 9 ], and family members were in the same poverty state. However, different family members may also have different poverty situations due to differences in close relationships, resource endowments, and decision-making power.…”

Section: Introductionmentioning

confidence: 99%

Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China

Wei

Luo

Zhang

et al. 2021

IJERPH

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This study explores the impact of farmland transfer on the multidimensional relative poverty of the elderly in rural areas to provide a reference for the study of rural land transfer in China and improve the welfare system for the elderly. Based on the China Family Panel Studies (CFPS) rural sample data in 2018, this paper uses the AF multidimensional index measurement method to assess multidimensional relative poverty in rural areas. Logit regression estimation examines the single index poverty of rural older adults transferred from rural land and the impact of multidimensional relative poverty, using the propensity score matching method (PSM) to analyze the results’ robustness. The transfer of agricultural land has different impacts on the poverty of different rural elderly poverty indicators and negatively affects the comprehensive effect of rural elderly poverty. The transfer of agricultural land significantly alleviates rural elderly poverty. Reasonable and effective transfer of agricultural land, together with improved rural social security and a caring service system for the elderly, will promote the continuous operation of large-scale agricultural operations and alleviate rural elderly poverty.

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“…The greater importance that these dimensions could have in public policies assessed by the authors may not correspond directly to the dynamics that the processes of social exclusion (or of extended multidimensional poverty) really have in society. Also linked to the case of Chile, Gallardo sets a proposal to measure the vulnerability to multidimensional poverty related to different social characteristics capturing the "diversity of the existing risk among the different welfare dimensions" (Gallardo, 2019).…”

Section: Some Advancements At the National Levelmentioning

confidence: 99%

The Multidimensional Conception of Social Exclusion and the Aggregation Dilemma: A Solution Proposal Based on Multiple Correspondence Analysis

2021

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The main objective of the article is twofold. On the one hand, it aims to offer a critical analysis of the different operationalizations of the concept of social exclusion at the international level, including reflection on widely used methods such as the “At risk of poverty or social exclusion” rate. On the other hand, it offers an empirically tested proposal of indicator aggregation for the measurement of social exclusion. The debate regarding the measurement of social exclusion has been widely addressed, but there are hardly any proposals that test different systems of indicator aggregation. The multiple correspondence analysis allows the implementation of a new approach for measuring the weights of the indicators, based on the distance to the integration point, which is understood as the absence of problems. The proposed new system shows an important potential to be extrapolated to the comparative measurement of social exclusion, also allowing the comparison of different social groups. The empirical reference used for the analysis is the Survey on Social Needs and Social Integration of the FOESSA Foundation for Spain 2018.

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Measuring Vulnerability to Multidimensional Poverty

Cited by 51 publications

References 54 publications

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

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

Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China

The Multidimensional Conception of Social Exclusion and the Aggregation Dilemma: A Solution Proposal Based on Multiple Correspondence Analysis

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