The Effect of National Entrepreneurship on National Competitiveness: Linear and Non-Linear Regression Analysis

Ulusal girişimcilik ve ulusal rekabetçilik, ülkelerin ekonomik kalkınmasını etkileyen iki temel faktördür. Bu çalışmada, ulusal girişimciliğin ulusal rekabetçilik üzerindeki etkisi incelenmiştir. Araştırma yöntemi olarak doğrusal ve doğrusal olmayan regresyon analizleri uygulanmıştır. Eğri tahmin modeli uygulamasıyla doğrusal olmayan regresyon model tahminleri elde edilmiştir. Elde edilen modeller karşılaştırmalı olarak sunulmuştur. Örneklem alan 52 ülkeden oluşmaktadır. Ülkelerin ulusal girişimcilik değerleri “Küresel Girişimcilik Monitörü (GEM)” raporlarından elde edilmiştir. Ulusal rekabetçilik puanları “Küresel Rekabetçilik Endeksi (GCI)” raporlarından elde edilmiştir. Araştırma dönemi pandemi öncesi 2019 yılıdır. Araştırma bulgularına göre doğrusal olmayan modeller arasında en yüksek açıklama yüzdesine sahip model “Qubic” tahmin modeli olarak belirlenmiştir. Qubic doğrusal olmayan model ile doğrusal model karşılaştırıldığında her iki modelin de anlamlı olduğu görülmüştür. Ayrıca doğrusal olmayan modelin açıklama yüzdesinin doğrusal modele göre daha yüksek olduğu sonucuna varılmıştır. Elde edilen bulgulara dayalı olarak, ulusal girişimcilik stratejilerinin belirlenmesinde genel girişimcilik stratejilerinin yanı sıra ülkeye özgü girişimcilik stratejilerinin geliştirilmesi önerilmiştir.

Anahtar Kelimeler:

Ulusal Girişimcilik, Ulusal Rekabetçilik, Doğrusal Olmayan Regresyon Modelleri, Eğri Tahmin Modelleri

The Effect of National Entrepreneurship on National Competitiveness: Linear and Non-linear Regression Analysis

National entrepreneurship and national competitiveness are two basic factors that affect the economic development of countries. In this study, the effect of national entrepreneurship on national competitiveness is examined. Linear and non-linear regression analyzes were applied as research method. Non-linear regression model estimates were obtained with the curve estimation model application. Obtained models are presented comparatively. The sample consists of 52 countries. The national entrepreneurship scores of the countries were obtained from the “Global Entrepreneurship Monitor (GEM)” reports. National competitiveness scores are derived from “Global Competitiveness Index (GCI)” reports. The research period is 2019 before the pandemic. According to the research findings, the model with the highest percentage of explanation among the non-linear models is determined as the "Qubic" estimation model. When the Qubic non-linear model and linear model are compared, both models are found to be significant. In addition, it is concluded that the percentage of explanation of the non-linear model is higher than the linear model. Based on the findings, it has been suggested to develop country-specific entrepreneurship strategies as well as general entrepreneurship strategies in determining national entrepreneurship strategies.

Keywords:

National Entrepreneurship, National Competitiveness, Non-linear Regression Models, Curve Estimation Models.,

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