2010
DOI: 10.1007/s11205-010-9727-z
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Composite Indices of Development and Poverty: An Application to MDGs

Abstract: The measurement of development or poverty as multidimensional phenomena is very difficult because there are several theoretical, methodological and empirical problems involved. The literature of composite indicators offers a wide variety of aggregation methods, all with their pros and cons. In this paper, we propose a new, alternative composite index denoted as MPI (Mazziotta-Pareto Index) which, starting from a linear aggregation, introduces penalties for the countries or geographical areas with 'unbalanced' … Show more

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Cited by 140 publications
(71 citation statements)
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“…It is the so-called Mazziotta Pareto Index (MPI) Pareto 2007 and, based on the assumption of ''nonsubstitutability'' of the dimensions, which are assumed have equal importance; no compensation between them is allowed. Applications of the MPI have been carried out in recent years to discuss the millennium development goals (MDG) (De Muro et al 2009), to verify social inequality in the Italian regions (Mazziotta et al 2010a, b), to measure the Italian health infrastructure endowment (Mazziotta and Pareto 2011) and to assess quality of life levels among Italian provinces (Mazziotta and Pareto 2012). Therefore we have aggregated the indicators of each dimension by arithmetic mean and summarized the partial composite indices according to the MPI method.…”
Section: Non-compensatory Indexmentioning
confidence: 99%
“…It is the so-called Mazziotta Pareto Index (MPI) Pareto 2007 and, based on the assumption of ''nonsubstitutability'' of the dimensions, which are assumed have equal importance; no compensation between them is allowed. Applications of the MPI have been carried out in recent years to discuss the millennium development goals (MDG) (De Muro et al 2009), to verify social inequality in the Italian regions (Mazziotta et al 2010a, b), to measure the Italian health infrastructure endowment (Mazziotta and Pareto 2011) and to assess quality of life levels among Italian provinces (Mazziotta and Pareto 2012). Therefore we have aggregated the indicators of each dimension by arithmetic mean and summarized the partial composite indices according to the MPI method.…”
Section: Non-compensatory Indexmentioning
confidence: 99%
“…Nonetheless, consensus was growing-also in light of the evident failure of the structural adjustment programmes of the World Bank and International Monetary Fund (IMF)-about the irreducibility of these phenomena to the income dimension. (De Muro et al 2010).…”
Section: Development Of What? a Review Of The Shift To A Multidimensimentioning
confidence: 99%
“…The RISK composite indicator was created following the Reig-Martinez et al Muro et al (2010) composite indicator sets 100 as the mean indicator; values greater than 100, therefore, indicate that there is a high risk of the farm dropping out, while values less than 100 indicate a farm that is profitable and has a good chance of surviving. Table 2 lists the correlations 11 among contextual variables and explanatory variables (i.e.…”
Section: Selection Of Input/output Variablesmentioning
confidence: 99%