Kamu-Üniversite-Sanayi İşbirliği (KÜSİ) Kapsamnda Bölgesel Etkinlik ve Potansiyel Değerlendirmesi
Üniversitelerde üretilen akademik bilginin sanayide katma de÷ere dönüútürülmesi yoluyla Türkiye’de etkin bir üniversite-sanayi iúbirli÷i modeli oluúturulmasna yönelik bir de÷erlendirme yapmak amacyla yaplan bu çalúmada, istatistiki bölge birimleri snflamasna göre 26 bölge ve 81 il düzeyinde Türkiye’nin üniversite-sanayi iúbirli÷i potansiyeli de÷erlendirilmiútir. Çalúma kapsamnda, illerin/bölgelerin üniversitesanayi iúbirli÷i ba÷lamnda etkin olma durumu, etkin olmayanlarn etkin olmasna yönelik gerçek bir hedef ilin/bölgenin belirlenmesi ve etkinlik sralamas yaplabilmesi adna srasyla veri zarflama analizi, serbest atlabilir zarflama analizi ve süper etkinlik ölçümü metotlarndan yararlanlmútr. Çalúma sonucunda, Türkiye’de üniversite ve sanayi potansiyeli açsndan illerin etkinlikleri de÷erlendirilmiú, kendilerine referans alabilecekleri iller belirlenmiú ve iller potansiyelleri açsndan sralanmútr.
Regional Efficiency and Potential Evaluation withinGovernment-University-Industry Collaboration (GUIC)
The aim of this research is to present a provincial level assessment of Turkey in terms of creating an effective university-industry collaboration that converts academic knowledge produced in universities to added-value in industry. University-industry collaboration potential of 26 regions by using Classification of Statistical Region Units and 81 provinces in Turkey is evaluated. Data Envelopment Analysis, Free Disposal Hull Analysis and Super Efficiency Measurement methods are used in order to measure the efficiency of regions/provinces, identify reference provinces for inefficient regions/provinces and rank the efficient regions/provinces in terms of university-industry collaboration. In the result of the study, the efficiencies of the regions/provinces in Turkey in terms of university and industrial potential are calculated, the region/province references for inefficient region/provinces are determined and regions/provinces are ranked by their university and industry potential.
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