Members of workgroups

WG1: Economic Geography modeling

Leader: Pasquale Commendatore (Università di Napoli ‘Federico II’, Italy)
Co-leader: SaimeSuna KAYAM (Istanbul Technical University, Turkey)

The main objective of WG1 is to put forward a representation of the EU as a multi-level complex evolving system that will provide the theoretical and conceptual basis for the research work of the other WGs. In broad terms, the work plan includes the following steps: i) a throughout assessment of the literature on economic geography modelling; ii) building multiregional NEG models; iii) in collaboration with the other WGs, incorporate results and outcomes originated from the various lines of research; iv) in collaboration with the other WGs, validate the results through empirical analyses and computational calibrations.

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WG2:Institutions and markets

Leader: Alan Kirman (Université d'Aix-Marseille III, France)
Co-leader: Spiros Bougheas (University of Notthingam, UK)

The main objective of WG2 is threefold: first, to assess within the new theoretical framework the impact of various economic policy instruments on regional inequalities, economic welfare and competitiveness; second, to investigate on the geographical characteristics of the financial and labour markets; third, to evaluate how the economic environment determined by these characteristics affects the capacity of regions to attract entrepreneurial activity. The work plan involves the following steps: i) a complete assessment of the NEG literature dealing with the effects of policy intervention on the spatial distribution of the economic activity; ii) extension of existing models to include labour and financial markets with different regional characteristics; iii) in collaboration with the other WGs, verify the economic impact of different policy interventions in the context of multiregional models; in collaboration with the other WGs, extend these models to account for the spatial dimension of the labour and credit markets;

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WG3: Social and industrial interactions

Leader: Michael Kopel (University of Graz, Austria) 
Co-leader: Gian Italo Bischi (Università di Urbino, Italy)

The main objective of WG3 is threefold: first, to provide disaggregated analyses of multi-level spatial economic systems. These analyses will focus on the interrelationship between individual location choices and the economic, social and institutional environment; second, to analyze the social and economic networks that may emerge at various scales. Third, identify possible interconnections among networks. This will help, for example, to highlight how the properties of a network at some level (for example, the degree of interconnectedness) can be affected by processes taking place within networks at a different level; a secondary objective is to provide more sophisticated descriptions of agents behaviour within NEG models. The work plan involves the following steps: 1) reformulate NEG models by introducing different assumptions on individual agents behaviour (i.e. strategic interaction between firms; workers decisions based on social interactions); 2) in collaboration with WG4, build models of social and economic interactions and networks for different aggregation levels; in collaboration with the other WGs, incorporate these network structures in a more general framework in which the different levels are interconnected; in collaboration with the other WGs, validate the results through empirical analyses and computational calibrations.

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WG4: Mathematical and computational methods and tools.

Leader: Tönu Puu (Umea Universitet, Sweden)
Co-lader: Florian Wagener (University of Amsterdam, The Netherlands)

The main objective of WG4 is to develop mathematical and computational methods and tools for analysing strategic interaction, heterogeneity, complexity and nonlinear dynamics. The activity of WG4 will be constantly coordinated with that of the other groups. More specific tasks will be accomplished according to the following work plan: collection of data required to understand the topological properties of the EU as a complex trade network; preliminary work on multiregional economic geography models and on disaggregated models of economic and social networks; building of more sophisticated models that takes into account the research carried out by the other WGs; calibration exercises and empirical analysis to validate the theoretical results.

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