data, selects the national systems with records of the requested taxa, and send back the data, integrating the answers in an interactive map (fig. 1).
Flow-chart of the SpatialDataInfrastructure of the NA2RE project, the New Atlas of Amphibians and Reptiles of Europe, a system of
This paper develops an empirical model to test the spatial spillover effects of transport infrastructure on economic growth. It uses spatial econometric techniques and provincial panel data of China from 1993 to 2004 to analyze the contribution of transport infrastructure to the economic growth of local province and its spatial spillover effects on the economic growth of other provinces. The main findings include: (1) Transport infrastructure and economic growth of China show an evident pattern of spatial clustering. They largely congregate in developed eastern coastal regions, forming a gradient gradually diminishing from east to west. (2) Output elasticity of local transport infrastructure is 0.106, between the values calculated by early researchers with time series data and panel data. (3) Spatial output spillovers from transport infrastructure are largely positive, but evidences of negative spatial spillovers are also found with population density spatial weights matrix model.
between the two halves down to rough-
ly one-half hour. While the bridge forms the main tangible element in
an effort to increase the economic competitiveness of the region,
elites recognise that less tangible forms of infrastructure must also be
developed. Specifically, regional elites acknowledge that