Revista de Ciencias Económicas ISSN Impreso: 0252-9521 ISSN electrónico: 2215-3489

OAI: https://revistas.ucr.ac.cr/index.php/economicas/oai
CLUSTERS, MERCADOS DE COMPETENCIA IMPERFECTA Y AUTOORGANIZACIÓN: LA ECONOMÍA COMO UN SISTEMA COMPLEJO
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Keywords

COMPLEX SYSTEMS
SELF-ORGANIZATION
IMPERFECT COMPETITION MARKETS
INCREASING RETURNS
CLUSTERS OR ENTERPRISE NETWORKING
INNOVATION
COMPETITIVENESS
TERRITORY
LOCAL DEVELOPMENT.
SISTEMAS COMPLEJOS
AUTOORGANIZACIÓN
MERCADOS DE COMPET ENCIA IMPERFECTA
RENDIMIENT OS CRECIENT ES
CLUST ERS O R EDE S DE EMPRESAS
INNOVACIÓN
COMPETITIVIDAD
TERRITORIO Y DESARROLLO LOCAL

How to Cite

Acuña O, M. (2022). CLUSTERS, MERCADOS DE COMPETENCIA IMPERFECTA Y AUTOORGANIZACIÓN: LA ECONOMÍA COMO UN SISTEMA COMPLEJO. Revista De Ciencias Económicas, 31(2), 157–177. https://doi.org/10.15517/rce.v31i2.12746

Abstract

Complex systems ruled by principles such as self-organization, interaction,
interdependence, back-feeding, initial conditions sensitivity and continuous emergence
and adaptation, is a new theoretical approach, still not very used to analyze space issues of
production organization and/or market structure leading to clusters or firm’s networking.
theoretical as well as methodological goodness of such complex systems, explaining
how clusters emerge and their functioning patterns are here explored. According to theory, it turns out that is imperfect competition which gives rise to this kind of firm’s arrangements, and that it is increasing returns which make more attractive for enterprises to establish themselves nearby certain economic activity within a territory, ie, these special attributes are main gathering forces for clustering firms. determining whether clusters are complex systems of self-organizing space production pattern or not is addressed in this paper, ie, that imperfect competition lies under the process of clustering, which in turn is a complex, open and non-linear production organizing system evolving endogenously thorough changing and adapting processes, which at last, is the structuring
axis of the cluster.

https://doi.org/10.15517/rce.v31i2.12746
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