@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 = {<p>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.</p>
},
	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.}
}
