An assessment of the technology level and knowledge intensity of regions in Turkey

Çelik, Necmettin; Akgüngör, Sedef; Kumral, Neşe

doi:10.1080/09654313.2019.1579301

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…In almost all provinces in Table 2, employment predominantly resides in low or medium‐low technology sectors. In line with the observations in Table 2, Çelik et al (2019) also affirm that, as per the majority of existing research, industrial activities in Turkey predominantly involve medium and low technologies. Still, an interesting observation from Table 2 is that in many higher risk provinces, employment is either heavily sector‐specific, as demonstrated by Bilecik, Karabük, Bartın, Trabzon, and Karaman, or the employment ratio in high and medium‐high technology sectors markedly falls below the national average.…”

Section: Resultssupporting

confidence: 68%

Regional development trap and economic complexity in Turkey: Evidence from provincial data

Çınar

2023

Regional Science Policy & Practice

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This study aims to identify the provinces at risk of regional development traps in Turkey for the 2017‐2021 period, as well as to uncover the statistical association between economic complexity and regional development traps. To achieve this, we calculated the modified regional development trap for Turkey by incorporating past regional performances and deviations from the national average. We also employed two different economic complexity measures derived from the literature. Our analysis indicates a negative correlation between regional development trap and economic complexity suggesting that provinces with more complex productive structures may be less likely to fall into the trap.

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Section: Resultssupporting

confidence: 68%

Regional development trap and economic complexity in Turkey: Evidence from provincial data

Çınar

2023

Regional Science Policy & Practice

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Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey

Kleiner-Schaefer

Schaefer

2022

J Technol Transf

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University-industry collaborations (UICs) are one of the main sources of external knowledge and technologies for industrial firms, particularly in the context of emerging markets (EMs) and firm development. It is thus highly relevant to identify potential barriers internal to the firm as well as in the regional innovation system that might prevent firms from using UICs for innovation, in particular in an EM context. In order to address this issue, we conduct a firm-level study of the R&D-related segment of the manufacturing industry in Istanbul. Logistic regression analysis is used to test the effect of potential barriers on using UICs for innovative activities. With this approach, we are able to identify barriers that prevent innovation-related UICs and thus form a bottleneck to collaborations in the first place. Our findings show that lack of information about UIC opportunities as well as lack of financial support for UICs are the most relevant barriers that inhibit firms’ usage of UICs for innovation. This firm-level evidence points out the importance of university technology transfer offices in regional innovation systems and for fruitful UICs. We further find that administrative barriers have no significant effect, while barriers related to trust and skill matching with scientific partners even have a reverse effect to what we would have expected from the literature. This finding might point towards an effect of perceived versus deterring barriers that has been observed in innovation studies before and might be relevant for studying UICs as well.

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Clustering potential of organized industrial zones in Türkiye

Sakarya

2023

Asia-Pac J Reg Sci

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An assessment of the technology level and knowledge intensity of regions in Turkey

Cited by 4 publications

References 24 publications

Regional development trap and economic complexity in Turkey: Evidence from provincial data

Regional development trap and economic complexity in Turkey: Evidence from provincial data

Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey

Clustering potential of organized industrial zones in Türkiye

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