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This paper proposes adequate strategies that companies, public administrators and organisations in the education industry can undertake to successfully face the challenges of digital transformation in a regional innovation system. This research considers stakeholders that operate in the Tyrol–Veneto macroregion (the Tyrol, South Tyrol and Veneto areas), a significant case of moderately innovative European macroregion.

This study undertakes explorative research based on a qualitative method. It adopts a place-based multi-stakeholder approach to emphasise the role of three categories of stakeholders (companies, educational system and regional governments) in facing digital changes. More precisely, interviews with 60 stakeholders from the Tyrol–Veneto macroregion were conducted and examined via both text mining analysis and content analysis. First, correspondence factor analysis was performed using IRaMuTeQ software to identify homogeneous subsets of concepts (pillars–i.e., macroareas of strategic actions). Second, two coding phases were implemented using NVivo software to detect strategic fields of action and specific strategic actions undertaken to address the challenges of digital transformation.

The results highlight that digital transformation is a pervasive challenge of regional innovative system that requires a multifaceted set of strategic actions falling into three main pillars. The first pillar, named “culture and skills”, includes three strategic fields of action as follows: digital education, talents and digital culture. The second pillar, named “infrastructures and technologies”, points out the need of information, interaction and artificial intelligence as key strategic fields of action. The third pillar, named “ecosystems”, highlights the importance of investing in medium- to long-term visions, partnerships and life quality. In brief, this study shows that standalone interventions are insufficient to tackle digital transformation from a systemic perspective. Moreover, this study outlines the potential contribution of each category of stakeholder to foster the digitalisation of the Tyrol–Veneto macroregion.

This study highlights the importance of developing digital culture and skills before investing in digital infrastructure and technology in a moderately innovative macroregion. Companies should alter their vision before reconfiguring their business models, invest in smart working and establish contacts with start-ups. In addition, this study recommends that public administration should mainly invest in digital education and partnerships, while, in terms of education and training organisations, it suggests providing digital skills to several cohorts of both students and workers. Policy implications call for the creation of new occasions of cooperation among stakeholders by fostering “table talks” as strategic and policy actions and by making more financial resources available to encourage the digital transformation processes.

The results of this study may be adapted to the characteristics of other regional innovative systems and used as a reference point in terms of the improvement of business, market and local development.

In the fashion of Martin (2012), we develop an innovative application to a standard, well-grounded methodology to investigate resilience in two critical dimensions: recovery and resistance. Our novel approach allows us to investigate the resilience performance to the 2008 financial crisis within countries of this macro-region according to their shock isolation and absorptive capacities.

By individually estimating six open economy DSGE models within the Central Europe and Baltic macro-region, we identify the business-cycle-volatility drivers for each country. Then, we use the outcome of our six estimates to conduct a principal component analysis to determine structural common characteristics required to explain economic resilience in the CEB macro-region.

In terms of resilience, Central European economies exhibit quite similar paths in terms of recovery, meaning they have similar economic structures. By contrast, Baltic countries behave differently, being outliers in opposite extreme positions. The contrary occurs for resistance: Baltic countries share a similar ranking, whereas Central European economies exhibit substantial differences.

It is important to acknowledge that a limitation of the analysis is that we explicitly consider each country as a stand-alone open economy which are subject to stochastic disturbances. Precisely, we do not model trade or other interactions across countries within the CEB region and with the rest of the world. Consequently, spillover effects in the aftermath of the shock are not accounted for.

We estimate the relative vulnerability or sensitivity of economies within the macro-region to disturbances and disruptions (resistance) and the speed and extent of recovery from such a disruption or recession (recovery). First, we built two different kinds of measures of resilience by aggregating the estimated parameters through non-centered and centered principal component analysis. Then, we use our model to investigate the relation between financial shock and the economic resilience across the region. The approach can be applied to several case studies, parsimoniously.

An aspect of globalization is the creation of macro-regions through integration. A macro-region is a territorial unit created through the process of cooperation, cohesion, and integration. Areas of integration can be political, economic, and social. An example of a macro-region is the European Union (EU). For EU member states and for acceding countries economic integration means accepting EU rules and regulations. The rationale behind these laws and rules is to increase economic, financial, and trade cooperation among partner countries. To increase the viability of this macro-region, the EU, has emphasized the need for social integration, which is the expansion of self-identification by individuals from viewing themselves as citizens of a country to a broader European identity, a citizen of Europe. This paper evaluates the impact of joining the European Union on the labor markets of Central and Eastern Europe countries, an economic integration; and the parallel expansion of the citizens’ identity expanding to include a European self-image, a social integration.

This study illustrates the economic and financial dynamics of the sector, analysing the evolution of the main ratios of profitability and financial structure of 1,559 Italian real estate companies divided into the three macro-regions: North, Centre and South, in the period 2011–2020. In this way, it is also possible to verify the responsiveness to the 2020 pandemic crisis.

The analysis uses descriptive statistics tools and the ANOVA method of analysis of variance, supplemented by the Tukey–Kramer test, to identify significant differences between the three Italian macro-regions.

The study shows the increase in profitability after the 2008 crisis, despite its reverberation in the years 2012–2013. The financial structure of companies improved almost everywhere. The pandemic had modest effects on performance.

In the future, other indices should be considered to gain a more comprehensive view. This is a quantitative study based on financial statements data that neglects other important economic and social factors.

Public policies could use this study for better interventions to support the sector. In addition, internal management can compare their company's performance with the industry average to identify possible improvements.

The research analyses an economic field that employs a large number of people, especially when considering the construction and real estate services covered by this analysis.

The study contributes to the literature by providing a quantitative analysis of industry dynamics, with comparative information that can be deduced from financial statements over the years.

Student mobility from the south to the north/centre of Italy is an increasingly crucial topic because the most important consequence is the continual depletion of universities situated in the southern regions. Using micro-data from the Italian Ministry of Education, University and Research (MIUR), the purpose of this paper is to investigate how contextual factors affect this mobility.

Empirical evidence is provided by developing a multilevel logit model of student decisions to move at university enrolment that allows us to identify the unique effects that student and province characteristics have on out-migration. Multilevel analysis is appropriate because the research questions focus on the role of province characteristics, variables that are measured at the macro level, on student-level outcome (out-migration) while controlling for student-level characteristics, variables that are measured at the micro level.

The present paper intends to contribute to the literature by quantifying the way in which contextual factors affect student mobility from the south to the north/centre of Italy. Findings show that province differences remain significant even after controlling for individual characteristics stressing the importance of the geographical dimension for student mobility. These findings have important policy implications for the future of university system in Italy.

This paper is relevant to the literature concerning this issue because most of the empirical applications are based on spatial models that do not take into account individual characteristics of the students. In addition, the multilevel methodology proposed can be easily generalise to other countries.

This paper analyses the consumption habits of tourists coming from different origins and choosing Italy as a holiday destination, in terms of expenditure level and composition. The economic role of both international and domestic demand and the plot of interactions going from tourist expenditure behaviour to the tourism industry have been measured. Furthermore, the impacts which localised expenditure (total and by item) can generate in each regional economic system are discussed, and estimates of the “centralising” and “leakage” effects are presented. The balance between these effects selects the net centralising regions of economic benefits deriving from tourism demand localised everywhere, with respect to those regions producing a net leakage of the positive effects generated by the demand localised in them.

The purpose of this paper is to identify actions and guidelines for enabling and fostering the Industry 4.0 adoption, as well as to understand the role of three ecosystem actors in these actions (i.e. companies, educational organizations and regional policy makers).

52 semi-structured expert interviews in the Tyrol-Veneto cross-border macro-region were carried out and interpreted using the innovation ecosystem concept. In particular, drawing from this latter, six ecosystem building blocks were identified and used to analyze the interviews' content.

The findings allow not only to build a comprehensive framework for action to support Industry 4.0 adoption, but also to confirm the importance of exploring Industry 4.0 through the lens of the ecosystem concept. Indeed, the authors show that R&D activities should be complemented with interorganizational actions, such as training and networking, and that all ecosystem actors should be involved in the Industry 4.0 adoption.

This is among the few studies that adopt the innovation ecosystem perspective to explore best practices for Industry 4.0 adoption, thus overcoming the weakness of existing papers based on a firm-level perspective. It also complements previous ecosystem-based research on Industry 4.0 by exploring the technology adoption side, rather than the technology provision one, and by considering the adoption of a wide set of technologies.

Purpose: This paper aims at studying the degree of equality of educational opportunity in the Italian university system.

Methodology: We build on the approaches developed by Peragine (2004, 2005) and Lefranc et al. (2006a, 2006b) and focus on the equality of educational opportunities for individuals of different social background. We propose different definitions of equality of opportunity in education. Then, we provide testable conditions with the aim of (i) testing for the existence of equality of opportunity (EOp) in a given distribution and (ii) ranking distributions on the basis of EOp. Definitions and conditions resort to standard stochastic conditions that are tested by using nonparametric tests developed by Beach and Davidson (1983) and Davidson and Duclos (2000).

Findings: Our empirical results show a strong family effect on the performances of students in the higher education and on the transition of graduates in the labor market. Moreover the inequality of opportunity turns out to be more severe in the South than in the regions of the North-Center.

Originality: This work contributes to the literature in three ways: first, it proposes a definition of equality of educational opportunities. Second, the paper develops a methodology in order to test for the existence of equality of opportunity in a given distribution and to rank distributions according to equality of opportunity. Third, we present empirical evidence on the degree of equality of educational opportunity in the Italian university system.