KENDĠ KENDĠNE ORGANĠZE OLAN KRĠTĠKLĠK VE FĠRMA BÜYÜME DĠNAMĠKLERĠ

ÇalıĢmada kompleks davranıĢ dinamiklerinin aniden ve beklenmedik bir biçimde değiĢiklik gösterebildiği durumların kendiliğinden ortaya çıktığı fikrine dayanan “kendi kendine organize olan kritiklik” (KKOK) kavramının iktisadi olgulardan firma büyüme dinamiklerinde nasıl kullanılabileceği ortaya konulmaktadır. Kompleks sistem davranıĢlarını belirleyen evrensel kanunlar olarak nitelenen ölçeksizlik ve güç kanunlarına dayanan KKOK, genel Ģokların sonucu olarak görülen çığ gibi felaket olaylarının meydana geliĢini yakalayıp açıklayabildiğinden, iktisat için etkileyici bir analiz aracı olarak görülmeye baĢlamıĢtır. Bu amaçla çalıĢmada, Türkiye‟de ekonominin üretken reel kesimini oluĢturan imalat sanayi firmalarının çalıĢan sayısı, satıĢlar ve aktif toplamı düzeyinde evrimsel büyüme dinamikleri ile ilgili olarak, KKOK varlığı incelenmiĢtir. Firma büyümesinin k-ortalamalar kümeleme yöntemi ile oluĢturulan kümeleri için bir güç kanunu dağılımının varlığı test edilmiĢtir. Ampirik bulgularda kümelerin dağılımının güç kanununa uyduğu görülmüĢ ve böylece imalat sanayi firmalarının kendi kendine organize olan kritiklik özelliği gösterdiği hipotezinin reddedilemeyeceği sonucuna ulaĢılmıĢtır

SELF ORGANIZED CRITICALITY IN ECONOMICS ANDFIRM GROWTH DYNAMICS

The study reveals how the concept of "self-organizing complexity" (SOC), which is based on the idea that situations in which complex behavioral dynamics can change suddenly and unexpectedly, emerge spontaneously, can be used in firm growth dynamics from economic phenomena. The SOC, by determining whether scale invariance and power laws, which are universal laws that determine complex system behaviors, began to be seen as an impressive analysis tool for economics, as it could capture and explain catastrophic phenomena such as avalanches seen as the result of aggregate shocks. For this aim, presence of SOC is examined in the context of evolutionary growth dynamics for Turkish manufacturing firms, where size is approximated by the number of employees, volume of sales and total assets. The existence of a power law distribution for the clusters generated by the k-means clustering method of firm growth was tested. In the empirical findings the distribution of the clusters also proved to be in with power law, and thus, was concluded that the hypothesis of manufacturing firms showing self-organizing criticality characteristics, could not to be rejected.

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