The Effect of Cultural Capital on High School Dropout: An Investigation in the Italian Provinces

Exploring young people’s perceptions about secondary school: Critical issues and improvements to prevent dropout risk in disadvantaged contexts

“…These domains, and relevant indicators, are also considered as the theoretical reference for our analysis. Barberis 2018;Thomson, 2018), grade retention (Jimerson et al, 2002), student mobility (South et al, 2007), low achievement in the first grade and student engagement (Ream & Rumberger, 2008).…”

“…More in depth, disadvantaged areas show higher rates of early school dropout. In fact, sociodemographic, cultural and economic elements, that affect student performance (Cunha et al 2006) and sociocultural disadvantages, can drive secondary school dropout (Ripamonti & Barberis, 2018). Robert (2010), amongst others, analysed the relationships between social origin, school choice and student performance in 23 OECD countries, employing the PISA 2006 survey.…”

“…This framework was operationalised by analysing the Italian secondary school system, which is characterised by heterogeneity among dropouts and across the country. The quota of early dropout is higher in the Southern regions and islands than in the centre-north (e.g., Veneto, 6.9%; Umbria, 6.7%; see Ripamonti & Barberis, 2018). Amongst the EU regions, the Italian region of Sardinia, with a population of 1.64 million, experiences not only an intrinsic socioeconomic disadvantage, because of its insularity, but also one of the highest rate of early dropout (21.2%, well above the target of 10%) and NEET (24.1% against 10.9% for the EU-28 average; CRENoS, 2019).…”

“…Neglecting young people’s opinions, feelings and perceptions about their secondary school learning path can lead to biased policy actions. Further research would benefit from studies at a micro level, which are more informative about individuals’ attitude, perceptions and choice (Agasisti et al, 2014; Pastore, 2018; Ripamonti & Barberis, 2018).…”

Analysis Of Spatial Distribution Of Human Development Index In Republic Of Bashkortostan

“…Spatial econometric analysis tools are used to simulate the indicators that are included in the estimation of human potential, first of all, the human capital (Kalapouti, Petridis, Malesios, & Dey, 2017;Jaya, Toharudin, & Abdullah, 2018;Ripamonti, & Barberis, 2017). The goal of the study by (Kalapouti, Petridis, Malesios, & Dey, 2017) was studying the influence of the share of patent applications, development level, unemployment level, and the degree of technological diversification on the efficiency of innovations.…”