Measuring regional innovation performance in turkey

dc.contributor.advisor Baycan, Tüzin
dc.contributor.author Özen, Berna Sezen
dc.contributor.authorID 502122803
dc.contributor.department Urban and Regional Planning
dc.date.accessioned 2024-02-05T08:59:55Z
dc.date.available 2024-02-05T08:59:55Z
dc.date.issued 2022-12-23
dc.description Thesis(Ph.D.) -- Istanbul Technical University, Graduate School, 2022
dc.description.abstract Innovation Systems is an effective tool for examining the national and regional economies and policy-making. Although there are some studies on regional innovation measurement for Turkey, there has not been any study found focusing on the transitions through different time periods at the NUTS-3 level. The purpose of the thesis is (i) to evaluate the general status of the innovation performance of Turkey in international and national scales, (ii) to focus mainly on measuring and mapping regional innovation performances in Turkey by providing a temporal dynamic analysis of transitions of the regions (at NUTS-3 level) from one state of innovative performance to another over time from 2000 to 2017 based on the EU-defined performance grouping as innovation leaders, strong innovators, moderate innovators and modest innovators, (iii) to demonstrate in which issues the similarities and/or differences of the innovation performances occur within the regions and at interregional levels, (iv) to determine the factors related to these innovation performances and (v) to create related policies and strategies for establishing and managing an effective innovation system. Focusing on the intellectual assets, Markov Chains and Shorrocks Trace indices have revealed that there are regional disparities (between (i) regions located in the east and west of the country, (ii) metropolitan and non-metropolitan regions, (iii) high-developed and relatively less-developed regions). Five different panel data models were performed to identify the determinants of the innovation performances of the innovation leaders. These econometric models revealed that different innovation indicators may differently affect the different types of intellectual assets.
dc.description.degree Ph. D.
dc.identifier.uri http://hdl.handle.net/11527/24490
dc.language.iso en_US
dc.publisher Graduate School
dc.sdg.type Goal 9: Industry, Innovation and Infrastructure
dc.subject regional innovation systems
dc.subject bölgesel yenilik sistemleri
dc.subject Markov chain
dc.subject Markov zinciri
dc.title Measuring regional innovation performance in turkey
dc.title.alternative Türkiye'nin bölgesel inovasyon performansinin ölçülmesi
dc.type doctoralThesis
Dosyalar
Orijinal seri
Şimdi gösteriliyor 1 - 1 / 1
thumbnail.default.alt
Ad:
502122803.pdf
Boyut:
25.18 MB
Format:
Adobe Portable Document Format
Açıklama
Lisanslı seri
Şimdi gösteriliyor 1 - 1 / 1
thumbnail.default.placeholder
Ad:
license.txt
Boyut:
1.58 KB
Format:
Item-specific license agreed upon to submission
Açıklama