Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications

Spatio-temporal evolution of urban innovation structure based on zip code geodatabase: An empirical study from Shanghai and Beijing

“…Some spatial statistical models such as Moran's I Index, Location Gini Coefficient, Lorenz Curve, Coefficient of Variation were used to measure disparities or clustering intensities (Lim, 2003;Zhang et al, 2007;Wang et al, 2014;Jiang, 2014), and further indicated uneven and clustering distributions of innovation activities, which was consistent with a scale-free statistical propert. Thirdly, extensive evidence of the spatial spillover effects of regional innovation were found (Moreno et al, 2005;Su, 2006;Zhang, 2013;Guastella et al, 2015). There was a significant correlation and spatial diffusion of innovation activities among regions.…”

How does industrial agglomeration affect regional innovation? A spatial econometric analysis

“…Based on tailor-made panel data for regions in China and India, Crescenzi et al (2012) argue that innovative regions, with intense agglomeration forces, good infrastructure endowment, a high degree of industrial specialization in both China and India generate positive knowledge spillovers to neighboring areas. Using data on a high-technology patenting activity in EU25 regions to estimate a spatial knowledge production function, Guastella & van Oort (2015) econometrically estimate and assess interregional research spillovers and support the existence of interregional innovation spillovers. Using provincial-level data from 2003 to 2011 in China, Song and Zhang (2017) explored possible channels of innovation spillovers across regions in China.…”