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İLLERİN PATENT SAYISINI ETKİLEYEN FAKTÖRLER ÜZERİNE BİR UYGULAMA

Year 2021, Volume: 23 Issue: 3, 1179 - 1192, 30.09.2021
https://doi.org/10.16953/deusosbil.800077

Abstract

Türkiye’de 81 ilin patent sayısını etkileyen faktörlerin araştırıldığı bu çalışmada bağımlı değişken patentin olup olmaması iken; bağımsız değişkenler kişi başı gayrisafi yurtiçi hâsıla, lisansüstü mezun sayısı, teknoloji geliştirme bölgeleri ve devlet ve vakıf üniversitelerinin toplamından oluşan üniversite sayısıdır. Model tahmininde logit model tercih edilmiş olup tüm veriler 2018 yılına aittir. Model tahmin sonuçlarına göre ildeki patent üzerinde kişi başı gayrisafi yurtiçi hâsıla, lisansüstü mezun sayısı ve teknoloji geliştirme bölgeleri pozitif bir etkiye sahipken üniversite sayısı negatif bir etkiye sahiptir.

References

  • Acs, Z. J., Anselin, L. & Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge. Research Policy, 31, 1069-1085.
  • Beneito, P., Rochina-Barrachina, M. E. & Sanchis, A. (2018). International patenting decisions: empirical evidence with Spanis firms. Economia Politica, 35, 579-599.
  • Bergin, J. (2018). Patent policy, ınvestment and social welfare. International Journal of Industrial Organization, 61, 439-458.
  • Bettencourt, L. M. A., Lobo, J. & Strumsky, D. (2007). Invention in the city: increasing returns to patenting as a scaling function of metropolitan size. Research Policy, 36, 107-120.
  • Block, J. H. & Spiegel, F. (2013). Family firm density and regional innovation output: an exploratory analysis. Journal of Family Business Strategy, 4, 270-280.
  • Canh, N. P., Schinckus, C. & Thanh, S. D. (2019). Do economic openness and institutional quality influence patents? evidence from gmm systems estimates. International Economics, 157, 134-169.
  • Chan, H. P. (2010). The Determinants of international patenting for nine agricultural biotechnology firms. The Journal of Industrial Economics, 58(2), 247-278.
  • Chen, Z. & Zhang, J. (2019). Types of patents and driving forces behind the patent growth in China. Economic Modelling, 80, 294-302.
  • Gachanja, I. M., Nga’nga’, S. I. & Kiganane, L. M. (2020). Influence of organization learning on innovation output in manufacturing firms in Kenya. International Journal of Innovation Studies, 4, 16-26.
  • Griliches, Z. (1990). Patent statistics as economic indicators: a survey. Journal of Economic Literature, 28(4), 1661-1707.
  • Gujarati, D. N. (1999). Temel ekonometri, (Çev. Ü. Şenesen ve G.G. Şenesen), Literatür Yayıncılık, İstanbul.
  • Hayward, M., Caldwell, A., Steen, J., Gow, D. & Liesch, P. (2017). Entrepreneurs’ capital budgeting orientations and innovation outputs: evidence from Australian biotechnology firms. Long Range Planning, 50, 121-133.
  • Im, H. J. & Shon, J. (2019). The effect of technological imitation on corporate innovation: evidence from US patent data. Research Policy, 48, 1-18.
  • Jaffe, A. B., Trajtenberg, M. & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, 108 (3), 577-598.
  • Janger, J., Schubert, T., Andries, P., Rammer, C. & Hoskens, M. (2017). The EU 2020 innovation indicator: a step forward in measuring innovation outputs and outcomes?. Research Policy, 2017, 30-42.
  • Özer, H. (2004). Nitel değişkenli ekonometrik modeller teori ve bir uygulama. Nobel Yayın Dağıtım, 1. Basım, Ankara.
  • Schwartz, M., Peglow, F., Fritsch, M. & Günther, J. (2012). What drives innovation output from subsidized R&D cooperation?- project –level evidence from Germany. Technovation, 32, 58-369.
  • Stern, S., Porter, M. E. & Furman, J. L. (2000). The determinants of national innovative capacity. NBER Working Paper Series, Working Paper No: 7876, Cambridge.
  • Taalbi, J. (2020). Evolution and structure of technological systems – an innovation output network. Research Policy, 49, 1-22.
  • Tarı, R. (2011). Ekonometri. Umuttepe Yayınları, 7. Baskı, Kocaeli.
  • Tunç, H. (2008). Bir yenilik göstergesi olarak patent ve türkiye patent performansı. (Yayımlanmamış Yüksek Lisans Tezi). Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü, Isparta.
  • Tüylüoğlu, Ş. & Saraç, Ş. (2012). Gelişmiş ve gelişmekte olan ülkelerde inovasyonun belirleyicileri: ampirik bir analiz. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 7(1), 39-74.
  • Xu, S., Fenik, A. P. & Shaner, M. B. (2014). Multilateral alliances and innovation output: the importance of equity and technological scope. Journal of Business Research, 67, 2403- 2410.
  • Yaşar, N. (2020). Ar-Ge’de üniversite sanayi işbirliğinin patent başvurularına etkisinin istatistik analizi. International Journal of Applied Economic and Finance Studies, 5(1), 28-40.
  • Zhang, G., Duan, H. & Zhou, J. (2017). Network stability, connectivity and innovation output. Technological Forecasting&Social Change, 114, 339-349.
Year 2021, Volume: 23 Issue: 3, 1179 - 1192, 30.09.2021
https://doi.org/10.16953/deusosbil.800077

Abstract

References

  • Acs, Z. J., Anselin, L. & Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge. Research Policy, 31, 1069-1085.
  • Beneito, P., Rochina-Barrachina, M. E. & Sanchis, A. (2018). International patenting decisions: empirical evidence with Spanis firms. Economia Politica, 35, 579-599.
  • Bergin, J. (2018). Patent policy, ınvestment and social welfare. International Journal of Industrial Organization, 61, 439-458.
  • Bettencourt, L. M. A., Lobo, J. & Strumsky, D. (2007). Invention in the city: increasing returns to patenting as a scaling function of metropolitan size. Research Policy, 36, 107-120.
  • Block, J. H. & Spiegel, F. (2013). Family firm density and regional innovation output: an exploratory analysis. Journal of Family Business Strategy, 4, 270-280.
  • Canh, N. P., Schinckus, C. & Thanh, S. D. (2019). Do economic openness and institutional quality influence patents? evidence from gmm systems estimates. International Economics, 157, 134-169.
  • Chan, H. P. (2010). The Determinants of international patenting for nine agricultural biotechnology firms. The Journal of Industrial Economics, 58(2), 247-278.
  • Chen, Z. & Zhang, J. (2019). Types of patents and driving forces behind the patent growth in China. Economic Modelling, 80, 294-302.
  • Gachanja, I. M., Nga’nga’, S. I. & Kiganane, L. M. (2020). Influence of organization learning on innovation output in manufacturing firms in Kenya. International Journal of Innovation Studies, 4, 16-26.
  • Griliches, Z. (1990). Patent statistics as economic indicators: a survey. Journal of Economic Literature, 28(4), 1661-1707.
  • Gujarati, D. N. (1999). Temel ekonometri, (Çev. Ü. Şenesen ve G.G. Şenesen), Literatür Yayıncılık, İstanbul.
  • Hayward, M., Caldwell, A., Steen, J., Gow, D. & Liesch, P. (2017). Entrepreneurs’ capital budgeting orientations and innovation outputs: evidence from Australian biotechnology firms. Long Range Planning, 50, 121-133.
  • Im, H. J. & Shon, J. (2019). The effect of technological imitation on corporate innovation: evidence from US patent data. Research Policy, 48, 1-18.
  • Jaffe, A. B., Trajtenberg, M. & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, 108 (3), 577-598.
  • Janger, J., Schubert, T., Andries, P., Rammer, C. & Hoskens, M. (2017). The EU 2020 innovation indicator: a step forward in measuring innovation outputs and outcomes?. Research Policy, 2017, 30-42.
  • Özer, H. (2004). Nitel değişkenli ekonometrik modeller teori ve bir uygulama. Nobel Yayın Dağıtım, 1. Basım, Ankara.
  • Schwartz, M., Peglow, F., Fritsch, M. & Günther, J. (2012). What drives innovation output from subsidized R&D cooperation?- project –level evidence from Germany. Technovation, 32, 58-369.
  • Stern, S., Porter, M. E. & Furman, J. L. (2000). The determinants of national innovative capacity. NBER Working Paper Series, Working Paper No: 7876, Cambridge.
  • Taalbi, J. (2020). Evolution and structure of technological systems – an innovation output network. Research Policy, 49, 1-22.
  • Tarı, R. (2011). Ekonometri. Umuttepe Yayınları, 7. Baskı, Kocaeli.
  • Tunç, H. (2008). Bir yenilik göstergesi olarak patent ve türkiye patent performansı. (Yayımlanmamış Yüksek Lisans Tezi). Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü, Isparta.
  • Tüylüoğlu, Ş. & Saraç, Ş. (2012). Gelişmiş ve gelişmekte olan ülkelerde inovasyonun belirleyicileri: ampirik bir analiz. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 7(1), 39-74.
  • Xu, S., Fenik, A. P. & Shaner, M. B. (2014). Multilateral alliances and innovation output: the importance of equity and technological scope. Journal of Business Research, 67, 2403- 2410.
  • Yaşar, N. (2020). Ar-Ge’de üniversite sanayi işbirliğinin patent başvurularına etkisinin istatistik analizi. International Journal of Applied Economic and Finance Studies, 5(1), 28-40.
  • Zhang, G., Duan, H. & Zhou, J. (2017). Network stability, connectivity and innovation output. Technological Forecasting&Social Change, 114, 339-349.
There are 25 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Zeynep Karaca 0000-0001-8046-7222

Publication Date September 30, 2021
Submission Date September 25, 2020
Published in Issue Year 2021 Volume: 23 Issue: 3

Cite

APA Karaca, Z. (2021). İLLERİN PATENT SAYISINI ETKİLEYEN FAKTÖRLER ÜZERİNE BİR UYGULAMA. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 23(3), 1179-1192. https://doi.org/10.16953/deusosbil.800077