1,721,012 research outputs found
Inclusive Europe: the impact of the EU Cohesion Policy on immigrants’ economic integration in Italy
Full text linkBy examining the impacts of the Cohesion Policy on immigrants’ economic integration, this study provides evidence on how the European Union promotes inclusion. Focusing on Italian municipalities, we estimate the causal effects of immigrant-related projects on the wage gap between natives and immigrants during the 2007–2018 period. We find a significant decrease in the average wage gap of approximately 7.6%. Specifically, Cohesion Policy played a positive role in immigrant economic inclusion through interventions targeted at supporting the employment and mobility of workers. For the inclusive dimension of the Next Generation EU program, this is key evidence to start with
Inclusive Europe: the impact of the EU Cohesion Policy on immigrants' economic integration in Italy
No full textBy examining the impacts of the Cohesion Policy on immigrants’ economic integration, this study provides evidence on how the European Union promotes inclusion. Focusing on Italian municipalities, we estimate the causal effects of immigrant-related projects on the wage gap between natives and immigrants during the 2007–2018 period. We find a significant decrease in the average wage gap of approximately 7.6%. Specifically, Cohesion Policy played a positive role in immigrant economic inclusion through interventions targeted at supporting the employment and mobility of workers. For the inclusive dimension of the Next Generation EU program, this is key evidence to start with
Interregional redistribution and risk sharing through public budget. The case of Italy in times of crisis (2000–2016)
No full textSince the post-war period, large differences in economic performance of Italian regions have brought the public sector to play a predominant role in interregional redistribution and risk sharing. However, the recent Great Crisis may have changed this attitude. The comparison of regional Net Fiscal Flows in the periods 2000–2008 and 2009–2016 shows that in the aftermath of the crisis fiscal policies lost substantial part of their effectiveness in both interregional long-run redistribution and short-run income stabilization. Over time, the role of government in providing support to poorer regions and to areas more severely hit by the economic slump becomes less significant and sometimes even perverse, amplifying rather than counterbalancing regional differences in per capita income and financial capacity
Organizational factors affecting higher education collaboration networks: evidence from Europe
No full textWe explore the role of organizational factors in research collaboration networks among European universities. The study of organizational drivers in shaping collaboration patterns is crucial for policy design aimed at reducing research fragmentation and fostering knowledge creation and diffusion. By using Exponential Random Graph Models (ERGMs) and controlling for spatial factors, we investigate the role of two main mechanisms guiding the partners’ selection process: organizational attributes and homophily. We investigate two distinct scientific collaboration networks (i.e., projects and publications) and two research domains (Physical Sciences and Engineering, and Life Sciences) over the 2011–2016 time period. Our empirical evidence reveals that, among the main dimensions indicated by the literature, research capability (measured by the dimension of doctoral programs) has the clearest and most stable impact either on the tendency to establish collaboration ties or as homophily effect. In terms of policy implications, it emerges that organizational similarity in research capability matters and policy makers should consider doctoral programs as a strategic variable to promote successful collaborations in scientific research
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Do company-owned academic patents influence firm performance? Evidence from the Italian industry
No full textWe document that firms holding academic patents in their portfolios perform better in terms of market power since they benefit from academic knowledge spillovers generated by academic patents. On the other hand, we detect a negative effect on firms’ short-term profitability imputable to a larger fixed cost associated to the acquisition and exploitation of these patents. In terms of policy, our analysis suggests focusing on company-owned academic patents. A set of economic incentives dedicated to university–industry knowledge transfer through academic patents could support integration between basic and applied research
Cross-border equity portfolio choices and the diversification motive. A fractional regression approach
No full textUsing a panel fractional regression model to evaluate the determinants of shares of international investment positions, we find some strong empirical support to the claim that a diversification motive is relevant. It turns out that less synchronized economies attract larger portfolio investment shares. The utmost relevance of trade relationships among countries in shaping international investment positions is also confirmed. (C) 2013 Elsevier B.V. All rights reserved
More technology, more loans? How advanced digital technologies influence firms’ financing conditions
Full text linkThe paper investigates the effects of the adoption of advanced digital technologies (i.e., Industry 4.0) on firms' credit conditions through a signaling effect. The empirical analysis exploits microdata from the Bank of Italy's "Survey on Manufacturing and Service Firms"available for the period 2015-2019, integrated with balance sheet information provided by Cerved. We use a binary endogenous treatment effect model and IV estimation strategy to determine the average effect of digital technology adoption on firms' financing variables. The results can be summarized as follows: (i) the adoption of digital technologies (DT) lowers the likelihood of being credit rationed; (ii) the adoption of DT is associated with a higher level of leverage but with a lower cost of debt; (iii) the increased firm's debt is associated with a composition effect resulting in an expansion of bank debt and a reduction in financial debt. These results, which are robust to a number of checks, suggest that digital technology adoption improves firms' financial conditions, with lower constraints and lower costs, and also influences the between the firm and the financial institutions
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