@article {663, title = {European Union Macroregional Strategies: Overview on the Adriatic-Ionian Region Seaports}, journal = {Industria}, year = {2024}, doi = {10.1430/114410}, author = {Amatore, A.E. and Bregoli, D. and Iacobucci, D. and Liscio, M.C. and Olimini, Z. and Sospiro, P.} } @article {630, title = {Entrepreneurial ecosystems and economic resilience at local level}, journal = {Entrepreneurship and Regional Development}, volume = {33}, year = {2021}, pages = {689-716}, abstract = {The main aim of this paper is to investigate if and to what extent entrepreneurial ecosystems (EE) have an impact on economic resilience at local level. The paper is based on a quantitative analysis for the Italian provinces (NUT-3 level) and presents two novelties: first, it provides a composite index of EE at local level by capturing the different aspects encompassing political, social, cultural and economic dimensions of an EE; second, it analyzes the role of EE in terms of resistance to and recovery from external shocks. The empirical results show that EE has a relevant role in explaining the resilience of local systems to economic shocks. The positive effect also remains when controlling for the direct impact of new firm formation, thus highlighting that the EE concept has a greater significance for characterizing resilience and entrepreneurial activity at local level than entrepreneurial rates. {\textcopyright} 2021 Informa UK Limited, trading as Taylor \& Francis Group.}, doi = {10.1080/08985626.2021.1888318}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105797927\&doi=10.1080\%2f08985626.2021.1888318\&partnerID=40\&md5=71f52e94ece21097d3c0b3bc024ca781}, author = {Iacobucci, D. and Perugini, F.} } @article {631, title = {Entrepreneurial ecosystems in Italy}, journal = {Industria}, volume = {41}, year = {2020}, pages = {239-267}, abstract = {The main aim of this paper is to develop a measure of entrepreneurial ecosystems (ee) at local level. We select and aggregate into a composite index 13 variables that represent the different features of an ee. Data refers to Italian provinces (nuts-3 level) in the years 2004 and 2011. The ee index shows a large variation between Italian provinces but a high persistence over time. We analyse the consistency of the index to different weighting procedure, normalization and aggregation methods. We also check for the sensitivity of the index in ranking the provinces to the removal of each variable. {\textcopyright} 2020 Societa Editrice il Mulino. All rights reserved.}, doi = {10.1430/97564}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091417022\&doi=10.1430\%2f97564\&partnerID=40\&md5=6713fe691ae0cc549ab81fdc5c189456}, author = {Iacobucci, D. and Perugini, F.} } @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 {581, title = {Small firms and bank financing in bad times}, journal = {Small Business Economics}, year = {2019}, publisher = {Springer New York LLC}, abstract = {

This paper aims to analyze access to bank financing by small firms belonging to business groups compared to independent firms. We consider Italian manufacturing firms during the severe credit-crunch during 2010{\textendash}2012 caused by the financial crisis and subsequent domestic recession. We expect belonging to a business group to facilitate access to bank financing as the result of two different mechanisms: (i) the implicit guarantee provided by group belonging (affiliation effect) and (ii) the transfer of resources via the internal capital market (portfolio effect). The empirical evidence confirms our hypotheses. Belonging to a business group facilitates access to bank financing, while the presence of an internal capital market, which substitutes for both the decision to obtain bank financing and the amount borrowed, makes firms that are part of a business group less dependent than independent firms on this type of financing. {\textcopyright} 2019, Springer Science+Business Media, LLC, part of Springer Nature.

}, issn = {0921898X}, doi = {10.1007/s11187-019-00164-7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064335540\&doi=10.1007\%2fs11187-019-00164-7\&partnerID=40\&md5=2f70a062bfa23a6d83401a672dba9a25}, author = {Cainelli, G. and Giannini, V. and Iacobucci, D.} } @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 {Cainelli2018, title = {Agglomeration, networking and the Great Recession}, journal = {Regional Studies}, year = {2018}, note = {cited By 0; Article in Press}, 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 {583, title = {Changing models of innovation in the eu textile and clothing industry}, journal = {Industria}, volume = {39}, year = {2018}, pages = {173-194}, publisher = {Societa Editrice il Mulino}, abstract = {

Firms in the textile and clothing industry are generally considered as {\guillemotleft}suppliers dominated{\guillemotright} for their innovation model, being characterized by low investment in r\&d and little capabilities for autonomous innovation. As a result, technological innovation is not considered a key competitive factor. This situation is supposed to rapidly changing as a result of the increasing relevance of the so-called transversal technologies, such as ict, and the diffusion of open innovation models. The main aim of this paper is to analyze the characteristics and changes in the innovation model of eu firms in the textile and clothing industry over the last two decades. Empirical results reveal that in general firms remain characterized by a low intensity of innovation and patenting activity. However, the patenting and co-patenting activity of firms and the technological span of patents have significantly increased during the last decade, suggesting significant changes in their innovation model. Moreover, the innovation activity is highly concentrated in specific areas within the eu. {\textcopyright} Societa Editrice Il Mulino 2018. All rights reserved.

}, issn = {00197416}, doi = {10.1430/91315}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057956385\&doi=10.1430\%2f91315\&partnerID=40\&md5=5cdfaba226a7595e83e97b51ed26508b}, author = {Iacobucci, D. and Perugini, F.} } @article {582, title = {Collaboration for innovation and project failure. A dynamic analysis}, journal = {Economics of Innovation and New Technology}, volume = {27}, year = {2018}, pages = {717-730}, publisher = {Routledge}, abstract = {

The aim of this paper is to investigate the hypothesis that there is a complex and bidirectional relation between collaboration and failure in innovation projects. On the one hand, collaboration in innovative activities may increase the likelihood of project failure. At the same time, the failure in innovation projects may induce the firm to collaborate in order to overcome the problems that determined the failure of innovation projects (induced collaboration). Up to now, we are not aware about the existence of any empirical paper analysing the interaction between these two mechanisms. This paper aims at filling this gap by providing a motivation for the induced collaboration and testing its empirical relevance in a dynamic framework. The empirical analysis is carried out by using two consecutive German Community Innovation Surveys referring to the period 2006{\textendash}2010. The empirical results support the hypothesis of a bidirectional causal relationship between collaboration and failure. {\textcopyright} 2017, {\textcopyright} 2017 Informa UK Limited, trading as Taylor \& Francis Group.

}, issn = {10438599}, doi = {10.1080/10438599.2017.1389125}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032196901\&doi=10.1080\%2f10438599.2017.1389125\&partnerID=40\&md5=adb72ca49b57eeca1cd8d06c5fbe7ed1}, author = {Guzzini, E. and Iacobucci, D. and Palestrini, A.} } @article {Cainelli2017365, title = {Business groups and the great recession in Italy [I gruppi d{\textquoteright}impresa e la grande recessione]}, journal = {Industria}, volume = {38}, number = {3}, year = {2017}, note = {cited By 0}, pages = {365-383}, doi = {10.1430/88849}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045927415\&doi=10.1430\%2f88849\&partnerID=40\&md5=16b9c0c23e26ef49ad30dbaf659d095e}, author = {Cainelli, G. and Giannini, V. and Iacobucci, D.} } @article {584, title = {Il ruolo delle riviste italiane di economia}, journal = {Scienze Regionali}, volume = {16}, year = {2017}, pages = {287-294}, publisher = {Societa Editrice il Mulino}, issn = {17203929}, doi = {10.14650/86468}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034987139\&doi=10.14650\%2f86468\&partnerID=40\&md5=e64f5c9185dba886a964f91309bca237}, author = {Iacobucci, D.} } @article {585, title = {The dark side of collaborations for innovation: Are collaborations with universities darker than those with other partners?}, journal = {Industria}, volume = {37}, year = {2016}, pages = {613-636}, publisher = {Societa Editrice il Mulino}, abstract = {

In addition to its advantages, collaboration for innovation might increase the cost of innovation because of leakages of strategic information, appropriability problems and coordination difficulties. When collaborating with public research institutions (pris) the latter problem is expected to be more severe, thus raising the probability of project failure. The aim of this paper is to investigate whether and to what extent collaboration for innovation raises the probability of failure, i.e. delay or abandonment of innovative projects. It also aims to verify whether and to what extent collaboration with PRIs increases the likelihood of failure. We use data from the fourth Italian Community Innovation Survey (cis 4), which collected data for the three-year period 2002-2004. The empirical results support the hypothesis that collaboration significantly affects the probability of delay or abandonment of innovative projects. However, collaboration with PRIs does not increase the likelihood of failure compared to collaboration with other partners. Moreover, we find that delays are influenced by cost factors (such as lack of financial resources) or knowledge factors (such as lack of qualified personnel) while abandonment is significantly associated with market factors (such as uncertain demand).

}, issn = {00197416}, doi = {10.1430/86053}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017646412\&doi=10.1430\%2f86053\&partnerID=40\&md5=ace67a6a95eb6aa6e09536d2212b7e95}, author = {Guzzini, E. and Iacobucci, D.} } @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.} }