1.

Record Nr.

UNINA9910298503703321

Titolo

Complexity and Geographical Economics : Topics and Tools / / edited by Pasquale Commendatore, Saime Kayam, Ingrid Kubin

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-12805-1

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (381 p.)

Collana

Dynamic Modeling and Econometrics in Economics and Finance, , 1566-0419 ; ; 19

Disciplina

330.9

Soggetti

Regional economics

Spatial economics

Economic geography

System theory

Economic theory

European Economic Community literature

Game theory

Regional/Spatial Science

Economic Geography

Complex Systems

Economic Theory/Quantitative Economics/Mathematical Methods

European Integration

Game Theory, Economics, Social and Behav. Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Part A. Economic Geography Modelling -- Part B. Institutions and Markets -- Part C. Industrial Interactions.

Sommario/riassunto

The uneven geographical distribution of economic activities is a huge challenge worldwide and also for the European Union. In Krugman’s New Economic Geography economic systems have a simple spatial structure. This book shows that more sophisticated models should visualise the EU as an evolving trade network with a specific topology and different aggregation levels. At the highest level, economic



geography models give a bird eye’s view of spatial dynamics. At a medium level, institutions shape the economy and the structure of (financial and labour) markets. At the lowest level, individual decisions interact with the economic, social and institutional environment; the focus is on firms’ decision on location and innovation. Such multilevel models exhibit complex dynamic patterns – path dependence, cumulative causation, hysteresis – on a network structure; and specific analytic tools are necessary for studying strategic interaction, heterogeneity and nonlinearities.