16987.pdf

The so called "Startup Act" (Decree Law 179/2012, converted into Law 221/2012), has introduced in Italy the notion of innovative companies with a high technological value, denoted as the innovative startups. Among them, the Italian government includes the category of SIAVS ("Startup I...

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Γλώσσα:English
Έκδοση: Firenze University Press 2022
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/978-88-5518-304-8_18
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spelling oapen-20.500.12657-563252022-06-02T03:25:32Z Chapter Determinants of social startups in Italy Palazzo, Lucio Sabatino, Pietro Ievoli, Riccardo Start-up Well-being Provinces Glm zero inflated count models The so called "Startup Act" (Decree Law 179/2012, converted into Law 221/2012), has introduced in Italy the notion of innovative companies with a high technological value, denoted as the innovative startups. Among them, the Italian government includes the category of SIAVS ("Startup Innovative A Vocazione Sociale"), which represents a relatively new field of interest in both scientific and normative perspective. A social startup must satisfy the same requirement of other innovative startups, usually operating in sectors such as social assistance, education, health, social tourism and culture which can have a direct (social) impact on collective well-being. Furthermore, they must produce specific reporting of the produced social impact, enjoying also some tax benefits. In 2020 more than 200 SIAVS are registered in Italy, more than doubled with respect to 2015. This work is concerned with the empirical analysis of innovative companies focused in funding and implementing solutions to social, cultural, or environmental issues. Specifically, the aim of the paper is to investigate what are the relevant factors for the arise of SIAVS in Italy. The response variable is based on the number of active social startups in Italian provinces while the set of explanatory variables is composed by economic and demographic indicators at the provincial level. Generalized linear models (GLM) for discrete outcomes are applied and compared, even taking into account the zero-inflated issue arising due to the distribution of these particular data. 2022-06-01T12:19:20Z 2022-06-01T12:19:20Z 2021 chapter ONIX_20220601_9788855183048_510 2704-5846 9788855183048 https://library.oapen.org/handle/20.500.12657/56325 eng Proceedings e report application/pdf Attribution 4.0 International 16987.pdf https://books.fupress.com/doi/capitoli/978-88-5518-304-8_18 Firenze University Press 10.36253/978-88-5518-304-8.18 10.36253/978-88-5518-304-8.18 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788855183048 127 6 Florence open access
institution OAPEN
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language English
description The so called "Startup Act" (Decree Law 179/2012, converted into Law 221/2012), has introduced in Italy the notion of innovative companies with a high technological value, denoted as the innovative startups. Among them, the Italian government includes the category of SIAVS ("Startup Innovative A Vocazione Sociale"), which represents a relatively new field of interest in both scientific and normative perspective. A social startup must satisfy the same requirement of other innovative startups, usually operating in sectors such as social assistance, education, health, social tourism and culture which can have a direct (social) impact on collective well-being. Furthermore, they must produce specific reporting of the produced social impact, enjoying also some tax benefits. In 2020 more than 200 SIAVS are registered in Italy, more than doubled with respect to 2015. This work is concerned with the empirical analysis of innovative companies focused in funding and implementing solutions to social, cultural, or environmental issues. Specifically, the aim of the paper is to investigate what are the relevant factors for the arise of SIAVS in Italy. The response variable is based on the number of active social startups in Italian provinces while the set of explanatory variables is composed by economic and demographic indicators at the provincial level. Generalized linear models (GLM) for discrete outcomes are applied and compared, even taking into account the zero-inflated issue arising due to the distribution of these particular data.
title 16987.pdf
spellingShingle 16987.pdf
title_short 16987.pdf
title_full 16987.pdf
title_fullStr 16987.pdf
title_full_unstemmed 16987.pdf
title_sort 16987.pdf
publisher Firenze University Press
publishDate 2022
url https://books.fupress.com/doi/capitoli/978-88-5518-304-8_18
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