2019
DOI: 10.1016/j.seps.2018.11.005
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Social capital and well-being in the Italian provinces

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Cited by 43 publications
(39 citation statements)
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“…Furthermore, the legislation allows the constitution of a "mixed social cooperative," combining the purposes of the two categories of social co-operatives previously described.4 Similar variables were employed in various studies, such asCappelli et al (2021),Ezcurra and Rios (2019),Kitsos and Bishop (2018) andLee (2014).5 The Appendix shows the main descriptive statistics of the explanatory variables (TableA1) and the correlation matrix (TableA2).6 As argued byMenard (2002), the general rule is that VIFs with a value exceeding 5 need further investigation, while VIFs with a value exceeding 10 indicate serious multicollinearity requiring correction.7 I created an inverse distance function for KNN matrices and applied a row standardization method, which implies that the sum in each row of the weighting matrix equals 1. FollowingCalcagnini and Perugini (2019), I adopted this type of weighting matrix because the number of neighbours is not allowed to vary. It is of particular relevance in dealing with Italian provinces, given geographical irregularity.…”
mentioning
confidence: 99%
“…Furthermore, the legislation allows the constitution of a "mixed social cooperative," combining the purposes of the two categories of social co-operatives previously described.4 Similar variables were employed in various studies, such asCappelli et al (2021),Ezcurra and Rios (2019),Kitsos and Bishop (2018) andLee (2014).5 The Appendix shows the main descriptive statistics of the explanatory variables (TableA1) and the correlation matrix (TableA2).6 As argued byMenard (2002), the general rule is that VIFs with a value exceeding 5 need further investigation, while VIFs with a value exceeding 10 indicate serious multicollinearity requiring correction.7 I created an inverse distance function for KNN matrices and applied a row standardization method, which implies that the sum in each row of the weighting matrix equals 1. FollowingCalcagnini and Perugini (2019), I adopted this type of weighting matrix because the number of neighbours is not allowed to vary. It is of particular relevance in dealing with Italian provinces, given geographical irregularity.…”
mentioning
confidence: 99%
“…The analysis of economic development cannot ignore the consideration of a key actor in the implementation of these aspects, which is represented by public administration. This work is focused on local governments, which contribute to the definition and implementation of social and economic policies (Calcagnini & Perugini, 2019). We analyzed the relation between local public policies for economic development (considering cities' governance and financial engagement) and local entrepreneurial presence (total number of active firms), as an indicator of economic development.…”
Section: Discussionmentioning
confidence: 99%
“…At the same time, we cannot address the issue of economic development without paying due attention to the role played by a key actor in economic development management: public administration (Calcagnini & Perugini, 2019). On this aspect, Sustainable Development Goal no.…”
Section: Introductionmentioning
confidence: 99%
“…From an economic perspective, it is unquestionable that competitive and well-functioning territories offer better conditions for achieving other, equally relevant outcomes with important societal implications. The growing awareness of the importance of territorial efficiency as key pillar for economic consolidation has translated into a large stock of scientific work analyzing different aspects of territorial performance (see, e.g., Balaguer-Coll et al 2007;Cherchye et al, 2008;Lin et al, 2011;Calcagnini and Perugini, 2018;Karagiannis and Karagiannis, 2018). In parallel, governing bodies have recently proposed specific measures aimed at stimulating territorial competitiveness (e.g., European Commission, 2017; OECD, 2017).…”
Section: Introductionmentioning
confidence: 99%