VE Zárate-Mirón, R Moreno - Competitiveness Review: An …, 2024 - emerald.com
… This paper aims to evaluate the role of cluster strength on regional … cluster-level data into several indicators of regional cluster strength to proxy for different aspects of the cluster …
… However, based on studies carried out before the 2008 GreatRecession, we know that firms belonging to local clusters achieve higher profitability and productivity as well as higher …
A Fogli, E Hill, F Perri - NBER International Seminar on …, 2013 - journals.uchicago.edu
… progresses we find that counties around those in which unemployment increased initially are more likely to be “infected” with high unemployment, generating clusters of counties …
… In this regard, we apply an agglomerative hierarchical clustering (AHC) analysis … of the pre-recession period and during the period of the recession. Cluster analysis allows visualizing …
WB Beyers - Economic Development Quarterly, 2013 - journals.sagepub.com
… For Cluster 6—in many ways the states with the least similarity in their industrial structure—… than it was earlier in the GreatRecession. This cluster includes Nevada with its unique …
VE Zárate-Mirón, R Moreno-Serrano - CIERMMI Women in Science, 2024 - ecorfan.org
… cluster strength in the region, and cluster diversity, a measure of how diversified the presence of clusters … by strong clusters and high innovation before the GreatRecession present less …
… , we identify geographic clusters of … recession and demographic composition, industrial structure and state context. Our findings contribute new evidence regarding the GreatRecession’…
E Croci Angelini, F Farina, S Sorana - Economies, 2024 - mdpi.com
To evaluate variations in the well-being dimensions of European citizens, we rely upon Principal Component Analysis methodology, whereby a large set of interrelated indicators are …
KJ Bennett, M Yuen, F Blanco-Silva - Journal of Rural Studies, 2018 - Elsevier
… Because the dimension is low (three outcomes of interest), we employed spectral clustering … 8 clusters. By further imposition of the bicriteria measure for assessing quality of clustering, …