@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 {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 {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.} }