1,720,976 research outputs found
An Inter-temporal Relative Deprivation Index
No full textThe paper provides an axiomatic characterization of a new class of relative deprivation indices. Relative deprivation is the feeling that an individual experiences when she compares herself with someone who is better off. We believe that individuals not only take care of their relative position with respect to others but also of their relative position with respect to their own past. Therefore, we introduce a history-regarding reference group, while in the traditional relative deprivation framework the reference group is only other-regarding. The new index is sensitive to the proximity of transfers in the reference groups: an individual may feel more deprived if an increase in achievements occurs close or far to her current position. The new index is illustrated with an application to EU countries
Multidimensional Poverty Index with Dependence-Based Weights
No full textAn important aspect of the multidimensional perception of poverty phenomenon is the dependence among the underlying indicators. However, the commonly applied approaches to multidimensional poverty assessment do not capture this interdependence. In this paper we propose a new multidimensional poverty index accounting for the dependence and innovate over the weighting approach. The weighting method proposed here incorporates the copula-based rank dependence among well-being dimensions and contains necessary normative parameters. In particular, the latter includes the elasticity of substitution among dimensions and the belief-adjusting parameter, which specifies the direction of relation between the dependence and the weights. The results of poverty evaluation in the selected European countries suggest that multidimensional poverty is driven not only by the individual shortfalls, but also by the degree of interdependence among well-being indicators. Moreover, multidimensional poverty is relatively higher, if dimensional weights are in direct proportion to the dependence compared to the cases of inverse relation and equal weighting. Considering the novel weighting approach, this paper contributes to the literature on composite indicators by suggesting a channel to enclose the dependence structure in the multidimensional poverty index
Correction to: Well-Being and Territory: Methods and Strategies (Social Indicators Research, (2021), 10.1007/s11205-021-02645-3)
No full textUnfortunately, the following articles were by mistake included in other issues but are part of the Special Issue on Well-Being and Territory: Methods and Strategies “Tomaselli, V., Giuffrida, G., Gozzo, S. et al. Building Decision-making indicators Through Network Analysis of Big Data. Soc Indic Res 151, 33–49 (2020). https:// doi. org/ 10. 1007/ s11205- 020- 02363-2 “Crocetta, C., Antonucci, L., Cataldo, R. eta al. Higher-Order PLS-PM Approach for Different Types of Constructs. Soc Indic Res 154, 725–754 (2021). https:// doi. org/ artic le/ 10. 1007/ s11205- 020- 02563-w “Greco, F., Polli, A. Security Perception and People Well-being. Soc Indic Res 153, 741–758 (2021). https:// doi. org/ artic le/ 10. 1007/ s11205- 020- 02341-8 “Riniolo, V., Ortensi, L.E. Young Generations’ Activism in Italy: Comparing Political Engagement and Participation of Native Youths and Youths from a Migrant Background. Soc Indic Res 153, 923–955 (2021). https:// doi. org/ artic le/ 10. 1007/ s11205- 020- 02487-5 An article note was included in the original version of the Editorial article stating the above information. The original article has been corrected
Le ragioni della mobilità interna degli stranieri residenti in Italia
No full textThis paper studies the determinants of internal migration of resident foreigners in Italy from 1995 to 2006 by means of a new version of gravity model. The results show that the demographic and economic characteristics of regions of origin act as pull factors while neither the demographic nor the economic features of destination regions have effect as push determinants
Determinants of water conservation behaviour and spatial heterogeneity in their coefficients : [determinanti del comportamento di conservazione dell'acqua e l’eterogeneità spaziale nei loro coefficienti]
No full textt Questo studio indaga i determinanti del comportamento di conservazione dell'acqua attraverso un'analisi empirica completa ed esplora l’eterogeneità spaziale dei loro coefficienti a livello di unità regionale, con un focus specifico sull’Italia. I risultati della regressione logistica ordinale indicano che vari fattori sociodemografici, infrastrutturali, comportamentali e sociali, tra cui la fiducia nelle istituzioni pubbliche, la fiducia nelle persone e le donazioni caritatevoli, hanno un impatto significativo sulla conservazione dell’acqua. Inoltre, lo studio rivela
variazioni spaziali statisticamente significative nella relazione tra la conservazione dell'acqua e i suoi cinque fattori, tra cui l’educazione, il risparmio energetico e la fiducia nelle istituzioni pubbliche, utilizzando regressione ponderata geograficamente.This study investigates the determinants of water conservation behaviour through a comprehensive empirical analysis and explores spatial heterogeneity in their coefficients at a regional unit scale, with a specific focus on Italy. The results of the ordinal logistic regression indicate that various socio-demographic, infrastructural, behavioural, and social factors, including trust in public institutions, trust in people, and charitable donations, have a significant impact on water conservation. Furthermore, the study reveals statistically significant spatial variations in the relationship between water conservation and its five factors, including education, energy saving, and trust in public institutions, using geographically weighted regression
Optimal targeting under budget constraints in a humanitarian context
No full textThe paper uses Receiver Operating Characteristic (ROC) curves and related indexes to determine the opti- mal targeting strategy of a food voucher program for refugees. Estimations focus on the 2014 food voucher administered by the World Food Program to Syrian refugees in Jordan using data collected by the United Nations High Commissioner for Refugees. The paper shows how to use ROC curves to optimize targeting using coverage rates, budgets, or poverty lines as guiding principles to increase the overall efficiency of a program. As humanitarian organizations operate under increasing budget constraints and increasing demands for efficiency, the proposed approach addresses both concerns.The paper uses Receiver Operating Characteristic (ROC) curves and related indexes to determine the optimal targeting strategy of a food voucher program for refugees. Estimations focus on the 2014 food voucher administered by the World Food Program to Syrian refugees in Jordan using data collected by the United Nations High Commissioner for Refugees. The paper shows how to use ROC curves to optimize targeting using coverage rates, budgets, or poverty lines as guiding principles to increase the overall efficiency of a program. As humanitarian organizations operate under increasing budget constraints and increasing demands for efficiency, the proposed approach addresses both concerns. (C) 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Multidimensional Well-Being: A Bayesian Networks Approach
No full textThe study of multidimensional well-being has long recognized the importance of
formalizing the interaction between dimensions, but came short of treating this formally.
In this paper, we show that the statistical technique of Bayesian Networks is
an intuitive and powerful instrument that allows to model the dependence structure
among the dierent dimension of well-being. Moreover, Bayesian Networks are useful
to understand the eectiveness of policies directed to one or more dimensions, as well as
to design more eective interventions to improve well-being. The new approach is illustrated
with an empirical application for a selection of Western and Eastern European
countries
It is the Total that Does [Not] Make the Sum: Nature, Economy and Society in the Equitable and Sustainable Well-Being of the Italian Provinces
No full textOver the last years there has been an increasing interest in measuring well-being at local level. This is mainly due to the fact that socio-economic indicators at country level do not provide a complete picture of the living conditions in a territory. Moreover, the temporal dimension is also a fundamental aspect that allows analysing the trends of local well-being over time. The aim of this paper is to provide a more in-depth analysis of territorial disparities, inequalities and divergences across the Italian territories. In particular, this paper is one of the first attempts to analyse the overtime trend of the Italian well-being at provincial level (NUTS3) using a subset of indicators recently provided by ISTAT to measure the Equitable and Sustainable Well-being (BES) at local level. We apply a Bayesian latent variable model to construct three composite indicators related to the three main pillars of well-being, namely economic, social, and environmental. These composite indicators have been estimated for all the years between 2004 and 2016 for each Italian province. Results suggest that in the period of analysis the economic well-being has worsened in almost all provinces, with weak signs of recovery starting from 2014. On the contrary, social well-being improved in almost all provinces, with some exceptions in the South. The environmental well-being has increased over time as well, more in the Northern and Central provinces than in the South
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