Dario D'INgiullo

Internal high-skilled migration is acknowledged as one of the key engines of regional innovation and growth. Using detailed NUTS-3 cross-sectional migration data for 2012, the analysis highlights the importance of three forms of social capital (SC)—namely sociability, community involvement, and political engagement—in shaping graduates’ mobility across Italian provinces. The findings indicate that higher SC in the origin province discourages high-skilled outflows, whereas significant SC differences between origin and destination (with higher SC in the latter) may motivate graduates to migrate. The results also reveal that several variables pertaining to the agglomeration economies are crucial drivers of domestic migrations.

Sustainable development is increasingly recognized for its reliance on grassroots, bottom-up practices embedded in local communities. The economic literature has tested various influencing factors on household behaviors, such as culture or social cohesion, often considering proxies of so-called “intangible capitals” separately. This article aims to jointly consider the pivotal role of three of these potential capitals that could have a trigger effect on pro-environmental behaviors, specifically, social capital (sc), human capital (hc), and institutional quality (iq). In particular, our study, by adopting a PVAR approach, analyzes if and to what extent sc, hc, and iq influence the priority goal of increasing waste-sorting practices in the 20 Italian regions. Additionally, rooted in a robust theoretical framework, we present an in-depth analysis, with the trend of impulses from statistically significant variables—having observed the important roles played by hc, sc, and particularly iq, as well as the control variables GDP per capita and population density—in increasing the percentage of waste sorting. This impulse analysis suggests for policy interventions that there would be immediate effects (1–2 years) due to the improvement of our intangible capitals, but also a short duration. This suggests the need for lasting and structural interventions.

The occurrence of criminal activities has the potential to hinder socioeconomic advancement, preventing individuals from investing in human capital and pursuing employment opportunities. Our investigation focuses on the hypothesis that the NEET (not in education, employment, or training) rate is related to crime levels. Through an econometric analysis based on regional data, we examine the impact of crimes against property and against persons on NEET rates within central-northern and southern Italy, while controlling for prevalent determinants of the NEET phenomenon. Our findings reveal that, compared with prevailing discouragement factors such as youth unemployment and lack of interest in tertiary education, crime exerts a more pronounced influence on elevating NEET rates. This effect is particularly evident in the relatively less developed southern regions, where violent crimes, although relatively uncommon, may disproportionately contribute to feelings of apprehension and uncertainty regarding future prospects.

The recent rapid increase in Internet data traffic and use of digital technologies—observed during the pandemic and forecasted as a consequence of the massive digital transition occurring in the world economies—are feeding concerns about the related possible negative environmental impacts, in terms of both energy consumption and Carbon Dioxide (CO₂) emissions. We contribute to such debate by analysing the relation between two different digitalization dimensions, namely fixed and mobile broadband connections penetration, and CO₂emissions at the country level. Our paper provides empirical evidence, based on a panel of 35 OECD countries, that higher fixed and mobile broadband penetration levels are associated with lower levels of CO₂emissions, according to an Environmental Kuznets Curve-type relation. Moreover, we investigate whether the environmental effects of these two digitalization dimensions differ across high- and low-income OECD countries. By adopting fixed-effects models and fixed-effects two-stage least square estimators, the results, besides substantiating the Kuznet’s hypothesis in both groups of nations, confirm that higher fixed and mobile broadband penetration levels are associated to a reduction of CO₂emissions.

Internal migration in Italy has been characterised by deep changes in its composition, because of the growing share of high-skilled migrants (the emigration of which contributes to widening the internal brain drain) and the decreasing proportion of low-skilled migrants. Furthermore, recent interest in the literature in the role played by noneconomic elements in affecting migration decisions has highlighted the importance of a nonpecuniary factor, namely social capital (SC). For these reasons, this paper empirically investigates the role played by SC in interprovincial selective migration, considering migrants according to two education levels using data on 103 Italian provinces (2004–2012). The main findings reveal that provincial SC mainly contributes to reducing the migration flows of low-skilled individuals, albeit while also deterring the emigration of high-skilled individuals. Control variables confirm that better income conditions represent an important determinant of high-skilled migrants most likely because they seek to earn more, while better socioeconomic conditions such as labour market efficiency mostly influence those with a lower level of education.

Our article presents an empirical investigation of the relationship between the export performance of Italian provinces and the quality of their local institutions, specifically the rule of law, over the period 2004–2016. According to the results obtained by different econometric approaches (OLS, FE, SYS-GMM), in general a secure and well-defined legal framework – by reducing transaction costs and uncertainty, facilitating capital accumulation and an increase in the firms' scale of production – is associated with better export performance. Interestingly, when the analysis is replicated at the level of the Italian macro-areas (North, Centre and South), the results indicate that the rule of law has a statistically significant and positive association with export performance only in northern provinces, thus suggesting that the effectiveness of this institutional dimension might depend on the level of development of the socioeconomic and institutional features at the local level, i.e. only when a set of suitable economic incentive mechanisms are already in place.

Italy has the highest rate of individuals Not in Employment, Education or Training (NEET) in Europe, and its NEET has the highest gender bias in Western Europe. A marked heterogeneity, however, accompanies the age sub-groups, and women’s conditions become systematically worse with advancing age. Using data from 2019, we investigate the association between the probability of being NEET and a set of individual and regional (socioeconomic and institutional) characteristics, examining whether and to what extent the role of these determinants varies depending on gender within two distinct age groups: young (15–24) and adult (25–34) NEETs. In general, we find clear evidence that women are at a relative disadvantage compared to men and, as age increases, both positive and negative determinants show relations that tend to weaken for men and to worsen for women. The results of our analyses also suggest that social/family obligations affect men and women differently, to the detriment of women, and that this disparity widens with age. The contrast between the position of men and women within marriage is empirically confirmed and perfectly captured by marginal effects with opposite signs. The policy implications of our analysis are discussed in the concluding section of this paper.

We investigate the role of human capital (HC) in the Chinese inland-coastal inequality and, related to this, how the consequences of the 2007–2008 crisis may induce China to re-focus its development path on HC. We compare panel data analyses for two periods (1998–2008 and 2009–2017) for two diverging groups of provinces (the richer/coastal and the relatively poor/inland areas). In the first period, the economic strengths that influenced the Chinese take-off and the dualism are confirmed. However, the results show that an evolution in local economic endowments is taking place: first, HC has a more evident economic effect after the crisis only in the inland provinces; second, the development path of the inland area is changing, with an evolution towards more productive sectors which can favor higher returns to HC.

In the last few decades, the role of institutions has received renewed attention as a key factor to foster regional growth and innovative performance, raising researchers’ interest in assessing the mechanisms through which the institutional framework could affect innovation. This paper, by focusing attention to the Emilia-Romagna context, empirically investigates the effects on innovative capacity related to higher institutional quality and to its dimensions. This region, in fact, provides – due to the performance achieved in the new economic scenario (EMU, globalisation, Industry 4.0) – a relevant testing ground to verify the extent to which the evolution of regional institutions has favoured the creation of a fertile ecosystem able to promote innovative capacity. The main findings reveal a positive role associated with two fundamental institutional components: the quality of public services (government effectiveness) and the degree of association and social cooperation (voice and accountability), which represent the most important institutional dimensions in this region.