Proposal of a Multidimensional Poverty Index for Spanish Municipalities

2022 ◽  
pp. 31-54
Author(s):  
Francisco Espasandin-Bustelo ◽  
Juan Ganaza Vargas ◽  
Julio García-del-Junco ◽  
Jaime Ortega Gutierrez

There are two objectives that impel this work: first, to propose a valid, reliable, and parsimonious poverty index, named Municipal Poverty Index-Urban Audit (MPI-UA), and second, to describe the evolution of the multidimensional poverty risk of the Spanish municipalities according to C. For the construction of the MPI-UA, the information provided by the URBAN AUDIT database on Spanish municipalities with a population in excess of 20,000 inhabitants has been used. The validated data have been analyzed with the PLS technique to identify the variables that allow the establishment of the MPI-UA, although previously certain variables have had to be transformed. This chapter has valuable implications insofar as there is no known multidimensional poverty index for Spanish municipalities. Moreover, it may be of probable use for academics. In the case of local managers, the index can be useful both for the knowledge of the situation and for the design of public policies to reduce poverty.

2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Mohd Khairi Ismail ◽  
Chamhuri Siwar ◽  
Rospidah Ghazali

The planning and development of Agropolitan Project in Malaysia began in 2007 and was aimed at eradicating extreme poverty in Malaysia. This study aims to discuss the design and construction of Agropolitan Project in eradicating extreme poverty among its participants. This study uses the Multidimensional Poverty Index (MPI) found in the 11th Malaysian Plan, which includes the dimension of education, health, living standards, and earning. In addition, this study utilizes a survey involving 45 participants of an agropolitan project from Gahai, Lipis,Pahang. The result shows that only 5 of the respondents fall into the multidimensional poverty category, which involves 11.9 percent of the household members. The result of this study shows that the planning and development of Gahai Agropolitan Project, Lipis has succeeded in eradicating extreme poverty among the project participants. Deprivation faced by the respondents based on the MPI analysis can help policy makers in the design and construction of future agropolitan projects.


2019 ◽  
Vol 11 (2) ◽  
pp. 53-60
Author(s):  
Wara Rukmi ◽  
◽  
Ismu Ari ◽  
Anestia Prabandari

Author(s):  
Sabina Alkire ◽  
Mihika Chatterjee ◽  
Adriana Conconi ◽  
Suman Seth ◽  
Ana Vaz

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