This paper attempts to check the existence of geographic and industry distance effects, alongside other microeconomic determinants, on firms’ decisions to engage in R&D collaboration. Physical distance is defined by geographical coordinates while the measure of industry distance is based on the trade intensity between sectors. The model specified here refers to the combined spatial autoregressive model with autoregressive disturbances and it is estimated through the spatial two stage least square procedure. The results show that both geographical and industry proximity, positively affect the decision to cooperate in R&D.
Spatial and Industry Proximity in Collaborative Research: Evidendence from Italian Manufacturing Firms / Carboni, Oliviero Antonio. - In: THE JOURNAL OF TECHNOLOGY TRANSFER. - ISSN 0892-9912. - 38:6(2013), pp. 896-910.
Spatial and Industry Proximity in Collaborative Research: Evidendence from Italian Manufacturing Firms
CARBONI, Oliviero Antonio
2013-01-01
Abstract
This paper attempts to check the existence of geographic and industry distance effects, alongside other microeconomic determinants, on firms’ decisions to engage in R&D collaboration. Physical distance is defined by geographical coordinates while the measure of industry distance is based on the trade intensity between sectors. The model specified here refers to the combined spatial autoregressive model with autoregressive disturbances and it is estimated through the spatial two stage least square procedure. The results show that both geographical and industry proximity, positively affect the decision to cooperate in R&D.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.