Proximity, networking and knowledge production in Europe: What lessons for innovation policy?

By Emanuela Marrocu, Raffaele Paci, Stefano Raimondo Usai. 2013

178 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/f7ce226f4b363ebb252cd9ddfbf22b5e182b7530

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Roberta Rabellotti
2. C. Pietrobelli
3. R. Crescenzi
4. J. Neilson
5. S. Iammarino
6. Henry S. C. Yeung
7. E. Giuliani

In Political Science and International Relations

1. R. Crescenzi
2. Roberta Rabellotti
3. C. Pietrobelli
4. S. Iammarino

Citations in the corpus

• The Complementary Effects of Proximity Dimensions on Knowledge Spillovers (2014, unknown): “Following the extensive analysis done by Marrocu et al. (2013), the geographical matrix G is confined to the range 0–600 km since the spatial spillovers are localized and limited in space.15 Similar considerations apply to the technological matrix T, which generates relevant spillovers only when…”
• Innovation drivers, value chains and the geography of multinational corporations in Europe (2014, background): “…availability of regional data for the entire European Union, in the case of the EU 25 the ‘social filter’ includes two major domains: educational achievements (Crescenzi 2005; Malecki 1997; Marrocu et al. 2013) and productive employment of human resources (Fagerberg et al. 1997; Gordon 2001).”