EXPLORING INNOVATIVE ACTIVITIES IN TURKISH MANUFACTURING INDUSTRY

Bu çalışmanın amacı Türk İmalat Sanayiinde patent aktivitesinin doğasını araştırmaktır. Literatürde patentleme veya yenilikçi faaliyetler araştırılırken pek çok değişken kullanılmaktadır. Bu çalışma için seçilen bağımlı değişken her bir yıl için patent başvuru sayısıdır. Bağımlı değişken negatif olmayan bir tamsayı olduğu için ve verinin doğrusal olmayan doğasını göz önüne alabilmek için sayma sayı yöntemi kullanılmıştır. 2003-2008 yılları arasında Türk İmalat Sanayii için koşullu sabit etkiler Poisson panel regresyonu tahmin edilmiştir. Türk İmalat Sanayii için elde edilen sonuçlar, Schumpeteryan teoriyi desteklemektedir. Ayrıca, Ar-Ge harcamaları ve Ar-Ge personel 1 This paper is based on the study presented at the Anadolu International Conference in Economics which was held in Eskişehir on 19-21 June 2013 ? yoğunluğu, patent aktivitesine yön veren önemli faktörlerdir. Bu çalışma, yenilikçi aktivitelerin geleneksel bakış açısını içinde barındırmakla birlikte, kullanılan ekonometrik yöntem bağlamında bu bakış açısını bir adım öteye taşımaktadır

TÜRK İMALAT SANAYİİNDE YENİLİKÇİ ETKİNLİKLERİN SAYMA VERİ ANALİZİ KULLANILARAK ARAŞTIRILMASI

The purpose of this paper is to investigate the nature of patenting activity in the context of Turkish manufacturing industry. The literature tells us that many variables can be used while investigating patenting or innovative activity. The dependent variable chosen for this study is the number of patent applications per year. Since the dependent variable is a non-negative integer, count data methodology is employed in order to capture the non-linear nature of the data. A conditional fixed effects Poisson panel regression has been estimated for Turkish manufacturing industry for the 2003-2008 period. The results indicate that the evidence from Turkish manufacturing industries support the Schumpeterian theory. Furthermore, R&D expenditures and R&D personnel intensity are important drivers of patenting activities. This study encompasses the traditional point of view towards innovative activity; however manages to take this view one step further in terms of the econometric technique used. JEL Classification: O31, C23, C25, L6

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