New weighting scheme for the dimensions in multidimensional poverty indices

Belhadj, Besma

doi:10.1016/j.econlet.2012.03.029

Cited by 33 publications

(18 citation statements)

References 14 publications

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“…Weights determine the extent to which the selected attributes contribute to well-being and the degree by which we can substitute one attribute for another, interacting with the functional form used to aggregate dimensions. This can be easily seen by defining individual well-being S β as the weighted mean of order β of the achievements in the r dimensions, as suggested for instance by Maasoumi (1986), 13 See Cerioli and Zani (1990), Cheli et al (1994), Cheli (1995), Cheli and Lemmi (1995), Chiappero Martinetti (1994Martinetti ( , 2000, Betti et al (2002), Dagum and Costa (2004), Qizilbash and Clark (2005), , , Belhadj (2012), and Belhadj and Limam (2012). Deutsch and Silber (2005), Pérez-Mayo (2007), D'Ambrosio et al (2011 compare empirical results for multidimensional measures of poverty based on the fuzzy sets approach with those derived from applying alternative approaches (axiomatic approach, Information Theory, efficiency analysis, latent class analysis).…”

Section: Weighting Of Dimensionsmentioning

confidence: 99%

Multidimensional Poverty and Inequality

Aaberge

Brandolini

2015

Handbook of Income Distribution

250

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This paper examines different approaches to the measurement of multidimensional inequality and poverty. First, it outlines three aspects preliminary to any multidimensional study: the selection of the relevant dimensions; the indicators used to measure them; and the procedures for their weighting. It then considers the counting approach and the axiomatic treatment in poverty measurement. Finally, it reviews the axiomatic approach to inequality analysis. The paper provides a selective review of a rapidly growing theoretical literature with the twofold aim of highlighting areas for future research and offering some guidance on how to use multidimensional methods in empirical and policy-oriented applications.

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Section: Weighting Of Dimensionsmentioning

confidence: 99%

Multidimensional Poverty and Inequality

Aaberge

Brandolini

2015

Handbook of Income Distribution

250

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“…Many scholars measured the poverty situation of the farmers by constructing the poverty measurement indexes using UNDP on the MPI method, double critical value method, AF multidimensional poverty measurement, participatory poverty assessment (PPA), monetary approach to poverty Mathematical Problems in Engineering assessment, multidimensional poverty indicators (MDI), and other methods from income, education, health, living standards, and other aspects [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. (3) View of poverty measurement: whether it is measure of quality of life, measure of happiness degree, or measure of poverty degree, many scholars break the traditional one-dimensional measure method and propose to measure from multiple dimensions and establish properly evaluation indexes [31][32][33]. More and more authors used fuzzy set theory [34] to measure poverty from multidimensional perspective [35][36][37][38][39].…”

Section: Literature Reviewmentioning

confidence: 99%

The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity

Jing

Yan

et al. 2019

Mathematical Problems in Engineering

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Given that there are problems of difficulty to identify accurately the poverty alleviation subjects’ demands. This research puts forward and applies the fuzzy proximity method on the basis of the fuzzy set theory. The method can identify accurately the demands of poverty alleviation subjects. This study calculated the fuzzy proximity vector and the positive and negative ideal grades of the four demand types, according to six poverty characteristic indexes. The demand types are determined. Then, the paper takes a case about the demand identification of a poverty alleviation subject in a village, Shanxi province in China. The application result showed that (1) the demand identification model can help identify accurately the demands of poverty alleviation subjects; (2) the poverty alleviation strategies provide a reference for the government to carry out poverty alleviation work.

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“…Valoración de las relaciones entre actores Está dada de acuerdo a la frecuencia de interacción entre un mismo par de actores. Para ello, se utilizó el método de ponderación de pesos iguales (Belhadj, 2012), donde a las relaciones identificadas en cada fuente de información se les asignó un mismo valor de 0.25. De esta forma, el peso total de la relación entre un par de actores viene dada por la reiteración de la misma en las diferentes fuentes consultadas.…”

Section: Paso 2 Descripción De Los Vínculos Entre Actoresunclassified

Identificación y Análisis de una Red de Ayuda Humanitaria: Un Caso de Estudio

2017

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* Autor a quien debe ser dirigida la correspondencia.Recibido Jul. 4, 2016; Aceptado Sep. 6, 2016; Versión final Nov. 4, 2016, Publicado Abr. 2017 Resumen Con el propósito de abordar diversos desafíos que enfrenta la logística humanitaria, se identificó la configuración de la red de ayuda humanitaria de la ciudad de Manizales, Colombia y luego se analizó utilizando la teoría de grafos como componente del análisis de redes sociales. La logística humanitaria enfrenta varios desafíos debido a las circunstancias adversas en las cuales se desarrolla. En particular, la coordinación entre actores ha sido identificada como uno de los mayores problemas cuando ocurre un desastre. La configuración de la red permitió determinar la estructura general y algunas características particulares de la red objeto estudio. Se identificaron tres actores de relevancia y la existencia de cuatro comunidades dentro de la estructura general de la red. Así mismo, se evidenció la baja densidad de la red, la cual constituye un aspecto importante a considerar en la formulación de políticas públicas en torno a las capacidades para la atención de desastres. Palabras clave: logística humanitaria; ayuda humanitaria; gestión del riesgo de desastres; redes sociales; teoría de grafos Identification and Analysis of a Humanitarian Aid Network. A Case Study AbstractWith the purpose of addressing the several challenges that humanitarian logistics faces, the configuration of the humanitarian aid of Manizales city (Colombia) was identified and graph theory as a component of social network analysis was used. Humanitarian logistics faces these challenges due to adverse circumstances in which it takes place. In particular, coordination between actors has been identified as one of the biggest problems in this field of study. As a result, the overall structure and some particular network characteristics were determined. Also, the three most important actors and the existence of four communities were identified. The low network density was detected as one of the main problems, which constitutes an important aspect to consider in public policy formulation on disaster remediation.

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New weighting scheme for the dimensions in multidimensional poverty indices

Cited by 33 publications

References 14 publications

Multidimensional Poverty and Inequality

Multidimensional Poverty and Inequality

The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity

Identificación y Análisis de una Red de Ayuda Humanitaria: Un Caso de Estudio

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