Assessing geographical effects in spatial diffusion processes: The case of euro coins

Abstract

International audienceWe examine how geographical structures impact diffusion processes within a regional system. From the example of euro coin diffusion across countries, we show how the relative position and population endowment of regions impact our understanding of interregional mobility, beyond simple spatial interaction effects. The mix of coins of different origins is a complex but unique trace of the movement of individuals within a common currency area, potentially revealing a new facet of European integration. We simulate an individual-based dynamic model where agents move and exchange coins across regions. We analyse the convergence towards a homogeneous mix of coins through time for a series of different theoretical spatial systems. This sensitivity analysis demonstrates the impact of the regularity and aggregation levels, or centrality/periphery effects, on spatial diffusion dynamics. We then calibrate the model against empirical data for the regions of 5 European countries and provide estimates of mobility rates, distance decay and population attractiveness factors, affecting the diffusion of coins, hence international movements and European integration

Space Matters: Extending Sensitivity Analysis to Initial Spatial Conditions in Geosimulation Models

“…Banos (2012) compares the behaviour of Schelling segregation model on city lattices formalized as either grid, random, scalefree and Sierpinski networks and concludes that the presence of cliques in graph-based urban structures favours segregationist behaviours. Le Texier and Caruso (2017), using a set of different theoretical spatial systems, demonstrate the impact of the regularity and aggregation levels, or centrality/periphery effects, on spatial diffusion dynamics of euro coins. Similar issues were also dealt with in physical sciences: for example, Horritt and Bates (2001) studies the effects of grid cell size on the behaviour of a raster flood model and shows that increasing resolution does not increase model prediction performance below a certain level.…”

Analysis on geo-effects of China’s overseas industrial parks: A case study of Cambodia Sihanoukville Special Economic Zone

“…Presently, the academic community tends to focus on geopolitics, geo-economics, geo-culture and geo-relations as separate dimensions, while the geo-effects as a whole are not so often discussed. Many researchers regard geographic effect as geo-effects and discuss their applications in different fields, including climatic changes (Apaydin et al, 2011), plants and animals (Biddle et al, 2016;Leamy et al, 2016), dispersal rates and routes (Silva and Steele, 2014), epidemic spreading and mental illness (Xu et al, 2006;Griffith and Jones, 2020), complex networks (Lin et al, 2005;Hayashi and Matsukubo, 2006), small-world networks (Yin et al, 2008;Liu et al, 2009), free trade area (Andresen, 2009), currency circulation (Texier and Caruso, 2017), commodities' super cycle (Daher et al, 2017), regional multiplier analysis (Hanink, 2007), export (Kristjansdottir et al, 2020), and so on. Literature review makes it evident that the fields of research on geographical effect have expanded from nature and environment to the social sciences and humanities.…”