@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.}
}
