@article {RePEc:mul:j0hje1:doi:10.1430/107739:y:2023:i:1:p:129-152, title = {How Does the Localization of Innovative Start-ups Near the Universities Influence Their Performance?}, journal = {L{\textquoteright}industria}, number = {1}, year = {2023}, pages = {129-152}, abstract = {According to the knowledge spillover theory of entrepreneurship (kste), knowledge spillover tends to occur only within limited geographic areas, embedding economic activity based on this knowledge within the local context. The choice of localization of innovative start-ups near the public research centre (pri) as university from which the knowledge spillover comes could have an impact on their performance. The paper has the aim to demonstrate if the innovative start-ups that are localized near the pri show better performance in terms of profitability and sales. In the empirical analysis, we consider Italian start-ups born within 2012-2015 and their performance during the period 2012-2019 and we measure the road spatial distance (in kilometres) from start-up to the nearest research centres in the province of start-up. Specifically, firm performance is measured as roa (a measure of profit performance). Moreover, we include threshold values of sales to see the different impact of distance on different levels of sales in order to take into account the heterogeneity of this variable. Our results show as the distance is negative and significant for high level of sales and has an effect on the profitability of start-ups. Implications for researchers and policy makers were discussed, and areas for future research outlined.}, keywords = {Innovative Start-up, Italy, Knowledge Spillover, Knowledge-based Entrepreneurship, Universities}, url = {https://EconPapers.repec.org/RePEc:mul:j0hje1:doi:10.1430/107739:y:2023:i:1:p:129-152}, author = {Micozzi, Alessandra and Giannini, Valentina} } @article {598, title = {Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment}, journal = {Papers in Regional Science}, volume = {99}, year = {2020}, pages = {405-425}, publisher = {Blackwell Publishing Ltd}, abstract = {Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R\&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions. {\textcopyright} 2019 The Author(s). Papers in Regional Science {\textcopyright} 2019 RSAI}, keywords = {assessment method, development strategy, Innovation, policy implementation, regional development, specialization, technology policy}, issn = {10568190}, doi = {10.1111/pirs.12492}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076927157\&doi=10.1111\%2fpirs.12492\&partnerID=40\&md5=0915eca9a188b2df44da9945d6c2c4bd}, author = {D{\textquoteright}Adda, D. and Iacobucci, D. and Palloni, R.} } @article {579, title = {Agglomeration, networking and the Great Recession}, journal = {Regional Studies}, volume = {53}, year = {2019}, pages = {951-962}, publisher = {Routledge}, abstract = {

This paper analyzes how and to what extent firms{\textquoteright} external relations, such as belonging to a local cluster or a business group, affect the probability of firm survival and economic performance after the 2008 Great Recession. Using a large data set of Italian manufacturing companies for the period 2005{\textendash}12, it was found that belonging to a business group or a local cluster mitigates the selection effect determined by the real and financial shocks, while in the case of firms not belonging to groups, only the more efficient units survive. This means that firms belonging to a group or local cluster are expected to show a lower likelihood of failure and also lower performance compared with stand-alone firms. {\textcopyright} 2018, {\textcopyright} 2018 Regional Studies Association.

}, keywords = {agglomeration, business, data set, economic analysis, financial crisis, Italy, manufacturing, networking, probability}, issn = {00343404}, doi = {10.1080/00343404.2018.1511892}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053309295\&doi=10.1080\%2f00343404.2018.1511892\&partnerID=40\&md5=614bc6c55f4bf2ab7f9e3f8384b4eef6}, author = {Cainelli, G. and Giannini, V. and Iacobucci, D.} } @article {596, title = {Bank foundations, social capital and the growth of Italian provinces}, journal = {Regional Studies}, volume = {53}, year = {2019}, pages = {231-244}, publisher = {Routledge}, abstract = {

The funding role of bank foundations in the Italian economy, especially to the non-profit sector, significantly increased over the last 25 years. This paper constructs a novel measure of social capital at the provincial level that explicitly takes into account the bank foundations{\textquoteright} sectors of intervention (such as education, public health, and art and culture), together with other traditional aspects of social capital, and then tests the impact of bank foundations on the economic growth of Italian provinces. The findings suggest that the contribution of bank foundations to social capital positively affects the economic growth of provinces. {\textcopyright} 2018, {\textcopyright} 2018 Regional Studies Association.

}, keywords = {banking, economic growth, economic impact, Italy, regional development, social capital}, issn = {00343404}, doi = {10.1080/00343404.2018.1455971}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044974106\&doi=10.1080\%2f00343404.2018.1455971\&partnerID=40\&md5=a2480a72d8e44fd106375170775215e3}, author = {Calcagnini, G. and Giombini, G. and Perugini, F.} } @article {594, title = {Income distribution dynamics among Italian provinces. The role of Bank Foundations}, journal = {Applied Economics}, volume = {51}, year = {2019}, pages = {3198-3211}, publisher = {Routledge}, abstract = {

This paper investigates the convergence process and the distribution dynamics of income among Italian NUTS-3 provinces between 2003 and 2011. Findings show the existence of multiple steady-state equilibria which is consistent with the well-documented persistence in income disparities among Italian provinces. The role of grant-making activities by Bank Foundations is assessed on a conditioning scheme. Results suggest that Bank Foundations can affect the shape of the distribution of income and, in the long run, reduce polarization with a tendency for income to collapse towards a unimodal distribution. {\textcopyright} 2019, {\textcopyright} 2019 Informa UK Limited, trading as Taylor \& Francis Group.

}, keywords = {banking, convergence, income distribution, Italy}, issn = {00036846}, doi = {10.1080/00036846.2019.1572866}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061431000\&doi=10.1080\%2f00036846.2019.1572866\&partnerID=40\&md5=b04d4ccf7eec9541674ca1ee3e6fe5bf}, author = {Calcagnini, G. and Perugini, F.} } @article {580, title = {Is Smart Specialisation Strategy coherent with regional innovative capabilities?}, journal = {Regional Studies}, volume = {53}, year = {2019}, pages = {1004-1016}, publisher = {Routledge}, abstract = {

The implementation of the Smart Specialisation Strategy (S3) has required European regions to identify the technological domains in which they show superior innovative capabilities. This choice should promote specialization and facilitate diversification into new sectors. Given that regional specialization shows path dependence, successful diversification can be achieved in domains closely related to the existing knowledge base. The paper provides a first empirical assessment of the coherence between the technological domains chosen by Italian regions and those in which they show actual innovative capabilities, as measured by their patenting activity. {\textcopyright} 2018, {\textcopyright} 2018 Regional Studies Association.

}, keywords = {empirical analysis, Europe, Innovation, regional development, regional policy, specialization}, issn = {00343404}, doi = {10.1080/00343404.2018.1523542}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056099350\&doi=10.1080\%2f00343404.2018.1523542\&partnerID=40\&md5=8bda85ac3cf98fb76919176089a75488}, author = {D{\textquoteright}Adda, D. and Guzzini, E. and Iacobucci, D. and Palloni, R.} } @article {578, title = {Vertical relatedness and services outsourcing: A firm-level analysis}, journal = {Industrial and Corporate Change}, volume = {28}, year = {2019}, pages = {753-771}, publisher = {Oxford University Press}, abstract = {

This paper analyzes the relationship between local-level vertical relatedness and firms{\textquoteright} services outsourcing, using a data set of 46,671 Italian manufacturing firms observed over the period 1999-2007. The analysis uses a firm-level index of services outsourcing based on the Adelman index, and it proposes a new measure of vertical relatedness. Overall, the results suggest that it is not agglomeration per se that matters for services outsourcing but rather the presence of vertically related industries. The role of firm-level heterogeneity in terms of size, geographic location, and technological regime also emerges. {\textcopyright} 2018 The Author(s) 2018. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved.

}, keywords = {data set, heterogeneity, Italy, manufacturing, outsourcing}, issn = {09606491}, doi = {10.1093/icc/dty038}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073530269\&doi=10.1093\%2ficc\%2fdty038\&partnerID=40\&md5=d73132d61bc21fff0464b43c83894926}, author = {Cainelli, G. and Ganau, R. and Iacobucci, D.} } @article {595, title = {A Well-Being Indicator for the Italian Provinces}, journal = {Social Indicators Research}, volume = {142}, year = {2019}, pages = {149-177}, publisher = {Springer Netherlands}, abstract = {

In recent years, a significant number of papers has been published providing alternative measures of progress and well-being to Gross Domestic Product. Most of these papers differs in terms of their theoretical approach as well as their purpose and statistical methodology used to define what well-being is and how to measure it. In this paper, we construct a well-being indicator for the Italian provinces that shows a high degree of heterogeneity not only between the Northern and Southern Italian provinces, but also among adjacent provinces. {\textcopyright} 2018, Springer Science+Business Media B.V., part of Springer Nature.

}, keywords = {civil society, Gross Domestic Product, Italy, quality of life, socioeconomic indicator, territory}, issn = {03038300}, doi = {10.1007/s11205-018-1888-1}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044543892\&doi=10.1007\%2fs11205-018-1888-1\&partnerID=40\&md5=12e20f4b00963d996888aa47c308a449}, author = {Calcagnini, G. and Perugini, F.} } @article {588, title = {Academic spin-offs{\textquoteright} entrepreneurial teams and performance: a subgroups approach}, journal = {Journal of Technology Transfer}, volume = {43}, year = {2018}, pages = {714-733}, publisher = {Springer New York LLC}, abstract = {

Academic spin-offs{\textquoteright} entrepreneurial teams generally concentrate high levels of research and development experience while they are often found lacking in commercial skills. This prompts the integration of surrogate entrepreneurs (practitioners) but the literature questions the effectiveness of these artificially created teams. We argue that faultline theory applied to this context of different identity-based subgroups in a team can provide important insight, and complement the traditional approaches to top team diversity such as upper echelons theory. Our research compares the impact of the three main possible academic spin-off entrepreneurial team configurations on the two principal success-related tasks, innovation and sales, and considers the role important stakeholders, such as public research institutions and industrial partners, can have. In a sample of 164 academic spin-offs, we show that certain configurations are more suited to certain objectives and that faultline theory does indeed contribute to better our understanding of the entrepreneurial teams{\textquoteright} outcomes. Furthermore, the expectations one might have with regard to the extended entrepreneurial team as a possible remedy for weak core team configurations are not supported by our data. Implications for theory and practice are provided. {\textcopyright} 2017, Springer Science+Business Media, LLC.

}, keywords = {Academic spin-offs, Commercial performance, Diversity, Entrepreneurial teams, Faultline theory, Industrial research, Innovation, Societies and institutions}, issn = {08929912}, doi = {10.1007/s10961-017-9623-7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029506376\&doi=10.1007\%2fs10961-017-9623-7\&partnerID=40\&md5=6c0b418a9a68daaec50147776448fdfa}, author = {Ben-Hafa{\"\i}edh, C. and Micozzi, A. and Pattitoni, P.} } @article {566, title = {Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis}, journal = {Technological Forecasting and Social Change}, year = {2017}, abstract = {

The Internet of Things ({IoT}) is an emerging paradigm in the {ICT} sector and it is at the center of many current political and economic debates. Scholars, executives, and policymakers are becoming increasingly interested in understanding how to turn the {IoT} into reality, since various technological constraints (e.g., standardization and interoperability) limit the possibility of realizing an inclusive {IoT} information network. These constraints are exacerbated by the lack of a clear picture of the innovation dynamics and technology evolution of the {IoT}. This paper seeks to address this gap by mapping the development of {IoT} technologies. In particular, we have collected 61,972 {IoT} patents filed under the Patent Cooperation Treaty in the period 2000{\^a}{\texteuro}{\textquotedblleft}2012. We analyze temporal trends, cross-country dynamics and identity of the applicants. Moreover, we provide insights about the development of the most relevant {IoT} technologies by looking at triadic patent families.

}, keywords = {Innovation, Internet of Things, Patent analysis, Technology evolution}, issn = {0040-1625}, doi = {10.1016/j.techfore.2017.04.022}, url = {http://www.sciencedirect.com/science/article/pii/S0040162517305498}, author = {Ardito, Lorenzo and D{\textquoteright}Adda, Diego and Messeni Petruzzelli, Antonio} } @article {586, title = {Local variety and firm diversification: An evolutionary economic geography perspective}, journal = {Journal of Economic Geography}, volume = {16}, year = {2016}, pages = {1079-1100}, publisher = {Oxford University Press}, abstract = {

The aim of this article is to investigate whether and how local agglomeration forces-related and unrelated variety-influence firm diversification. Using a large dataset of 5112 Italian manufacturing business groups for the year 2001, and estimating Tobit models, we show the {\textquoteright}consistency{\textquoteright} between the patterns of firm diversification and that of the local system in which the firm is located. Specifically, firms located in local systems dominated by unrelated variety are more likely to show unrelated diversification patterns, while firms located in local systems dominated by related variety are more likely to show related diversification patterns. This supports the Evolutionary Economic Geography prediction of firm similarity {\textquoteright}within{\textquoteright} the same local system, and firm heterogeneity {\textquoteright}between{\textquoteright} different local systems. {\textcopyright} The Author (2015). Published by Oxford University Press.

}, keywords = {agglomeration, economic geography, heterogeneity, Italy, manufacturing}, issn = {14682702}, doi = {10.1093/jeg/lbv040}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991358593\&doi=10.1093\%2fjeg\%2flbv040\&partnerID=40\&md5=2df594c1e634fdf0a03cda9b19d3f804}, author = {Cainelli, G. and Iacobucci, D.} }