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Over the last few years, there has been increased interest in compiling poverty indicators for children, as well as in providing uncertainty measures that are associated with point estimates. In this paper, we provide point, variance, and interval confidence estimates of the at-risk-of-poverty rate indicator for 33 European countries. Using the 2018 EU-SILC survey, we analysed the spatial distribution of poverty by providing graphical representations at the national level. Our results reveal rates of child poverty that are higher than in the national estimates for most of the countries. By considering the computation of standard errors, we used the bootstrap method thanks to its convenient properties. It is worth noting that, for some countries, such as Finland, Belgium, and Ireland, the confidence intervals do not overlap. These results suggest differences among countries not only in terms of child poverty, but also in terms of social protection and the welfare state.
Ilaria Benedetti; Gianni Betti; And Crescenzi. Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries. Sustainability 2020, 12, 8204 .
AMA StyleIlaria Benedetti, Gianni Betti, And Crescenzi. Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries. Sustainability. 2020; 12 (19):8204.
Chicago/Turabian StyleIlaria Benedetti; Gianni Betti; And Crescenzi. 2020. "Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries." Sustainability 12, no. 19: 8204.
Over the last years, there has been an increased interest in compiling poverty indicators as well as in providing uncertainty measures both at national and regional level. In this paper, we provide point and variance estimates of two widely used income-poverty indicators, which belong to the class of the Foster-Greer-Thorbecke (FGT), and two widely used income-inequality indicators. We focused on Mediterranean countries since they have been severely hit by the Great Recession which increased poverty intensity and socio-economic inequalities. By using the 2018 EU-SILC data we analysed the spatial distribution of poverty by constructing maps at NUTS2 territorial level. Our estimation results reveal that national poverty indicators hide a high heterogeneity of poverty across regions within each country, especially for Italy and Spain. This study also provides computations of standard errors at regional level which have been explored only in a limited number of papers. To this aim we adopted the Jackknife replication method thanks to its convenient properties. As expected, the uncertainty measure is influenced by the reduced number of sampling units in each NUTS2 region especially in some regions of Spain and Italy. The Jackknife method proved to perform well in the case of income-inequality indicators especially for Greece, Italy, Croatia and Portugal.
Ilaria Benedetti; Federico Crescenzi; Tiziana Laureti. Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries. Sustainability 2020, 12, 8159 .
AMA StyleIlaria Benedetti, Federico Crescenzi, Tiziana Laureti. Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries. Sustainability. 2020; 12 (19):8159.
Chicago/Turabian StyleIlaria Benedetti; Federico Crescenzi; Tiziana Laureti. 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries." Sustainability 12, no. 19: 8159.
Water used for irrigation is essential for global food production. Increased water scarcity, due to climate change, is a constraint to agricultural development, especially in arid and semi-arid areas. This increases pressure on agriculture which often manages water inefficiently and competes with other sectors for water use. Enhancing farmers’ production efficiency may lead to substantial water savings and conservation. Public sector is called to play a role in water governance and to introduce appropriate multilevel regulatory and incentive measures for better water management. This work applies a spatial stochastic frontier model to the case of high water-demanding fruit and vegetable crops in the Apulia region of Southern Italy, where water is scarce due to semi-arid climate and erratic rainfall. Using cross-sectional data from the EU Farm Accountancy Data Network, this work incorporates firm specific heterogeneity into technical efficiency analysis and implements an autoregressive specification of the inefficiency component. Results support the hypothesis that spatial heterogeneity exists in on-farm efficiency of irrigated crop production and is adequately captured by the spatial stochastic frontier model approach. Technical efficiency of farms with similar structural and management characteristics greatly varies across crops and geographical areas, because of the different natural resource endowment and agro-climatic factors. Policies providing incentives to on-farm adoption of modern water-saving technologies and measures to promote small family farm activities could effectively contribute to water conservation goal, but they should be well-articulated to account for agriculture spatial diverseness.
Tiziana Laureti; Ilaria Benedetti; Giacomo Branca. Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy. Socio-Economic Planning Sciences 2020, 73, 100856 .
AMA StyleTiziana Laureti, Ilaria Benedetti, Giacomo Branca. Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy. Socio-Economic Planning Sciences. 2020; 73 ():100856.
Chicago/Turabian StyleTiziana Laureti; Ilaria Benedetti; Giacomo Branca. 2020. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy." Socio-Economic Planning Sciences 73, no. : 100856.
Durante las últimas décadas, el concepto de calidad del trabajo y la integración de inmigrantes en el mercado laboral ha sido muy debatido en el ámbito de las ciencias sociales.Este artículo pretende contribuir a esta nueva área de investigación sobre indicadores subjetivos de la calidad del trabajo como medida de la integración de los inmigrantes en el mercado laboral francés, evaluando así las diferencias entre trabajadores nativos y migrantes.Al centrarnos en la brecha entre trabajadores nativos e inmigrantes en el contexto del mercado laboral francés, evaluamos la calidad del trabajo con indicadores subjetivos relacionados con el entorno laboral, tales como la posible implicación de las tareas laborales en riesgos para la salud, tensiones físicas u otros inconvenientes.
Ilaria Benedetti. The Native-Migrant Gap in Job Quality: an Analysis of the French Context Using Decomposition Methods. Studies of Applied Economics 2019, 37, 225 -245.
AMA StyleIlaria Benedetti. The Native-Migrant Gap in Job Quality: an Analysis of the French Context Using Decomposition Methods. Studies of Applied Economics. 2019; 37 (1):225-245.
Chicago/Turabian StyleIlaria Benedetti. 2019. "The Native-Migrant Gap in Job Quality: an Analysis of the French Context Using Decomposition Methods." Studies of Applied Economics 37, no. 1: 225-245.