Bu çalışmanın temel amacı, firmaların sahip olduğu teknoloji yoğunluğu ve büyüme hızı
gibi dinamiklerin inovasyon ve büyüme ilişkisinde oynadığı rolün tespit edilmesidir. Ayrıca, firma
büyüklüğü ve firma yaşı gibi değişkenlerin büyüme üzerinde yaratacağı etkiler de dikkate alınarak,
sürdürülebilir büyüme açısından en uygun firma yapısının hangisi olacağının belirlenmesi
amaçlanmaktadır. Bu amaç doğrultusunda inovasyon ve büyüme arasındaki ilişki, AB Endüstriyel ArGe Yatırım Skorbordu veri tabanında yer alan, dünya genelindeki en yüksek 2500 Ar-Ge yatırımcısı
firma arasından seçilen 302 firmanın, 2005-2016 dönemini kapsayan verileri üzerine panel kantil
regresyon ve sistem-genelleştirilmiş momentler metodu (GMM) tahmincisi kullanılarak ampirik
olarak test edilmiştir. Analizde inovasyon göstergesi olarak veri zarflama analiziyle her bir örneklem
ve yıl için hesaplanan inovasyon etkinliği skorları kullanılmıştır. Analiz sonuçlarına göre, nispeten
daha küçük ölçekli, genç, hızlı büyüyen ve yenilikçi “süperstar” firmalar tarafından gerçekleştirilecek
inovasyonun firma büyümesi üzerindeki etkisinin diğerlerine kıyasla çok daha büyük olacağı
sonucuna varılmaktadır.
İnovasyon Etkinliği Firma Büyümesi Firma Dinamikleri Veri Zarflama Analizi Panel Kantil Regresyon
The main purpose of this study is to determine the role of firm dynamics such as
technological intensity and growth rate of firms in the relationship between innovation and growth.
Moreover, in this study it is aimed to determine the most appropriate firm structure in terms of
sustainable growth considering the effects of variables such as firm size and firm age on growth. In
line with this purpose, the relationship between innovation and growth was empirically tested by
applying panel quantile regression and system-generalized method of moments (GMM) estimators
covering the period of 2005-2016 for the sample of 302 firms. These 302 firms were selected from the
database of the EU Industrial R&D Investment Scoreboard among World’s 2500 top R&D investors.
Innovation efficiency scores calculated from data envelopment analysis for each sample and year
were used as an innovation indicator in the analysis. According to the results of the analysis, it has
been concluded that the impact of innovation to be realized by the relatively smaller sized, young,
fast-growing and innovative “superstar” firms on firm growth will be much larger than others.
Innovation Efficiency Firm Growth Firm Dynamics Data Envelopment Analysis Panel Quantile Regression
Primary Language | Turkish |
---|---|
Journal Section | Makaleler |
Authors | |
Publication Date | April 30, 2021 |
Acceptance Date | February 1, 2021 |
Published in Issue | Year 2021 Issue: 58 |
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