Araştırma Makalesi
BibTex RIS Kaynak Göster

ŞEKİLLENMİŞ TEKNOLOJİ YAYILIMI İLE VERİMLİLİK ARASINDAKİ BAĞLANTI: BİLGİ ÜRETİMİ

Yıl 2022, Cilt: 44 Sayı: 1, 20 - 35, 24.06.2022
https://doi.org/10.14780/muiibd.1135365

Öz

Bu çalışma, çeşitli ekonomilerde sektörler arası ara mal işlemleri yoluyla şekillenmiş teknoloji akışlarını
incelemekte ve bunların inovasyonla olan bağlantılarına ilişkin belirsizliğe odaklanmaktadır. Şekillenmiş
araştırma transferi’nin endüstriler arasındaki ara mal işlemleri yoluyla emek verimliliği üzerindeki
doğrudan etkisi ile bilgi yaratma yoluyla dolaylı etkisini karşılaştırıyoruz. Araştırma sermayesi için bir
ağırlıklandırma yöntemi olarak girdi-çıktı tablolarını ve çoklu denklem GMM yaklaşımını kullanıyoruz.
Model, emek verimliliğini ve bilgi üretimini ölçen iki denklemden oluşmakta, bilgi üretimi verimliliğin
açıklayıcı değiskeni olarak ölçülmektedir. Eşzamanlı denklem sonuçlarımız, şekillenmiş teknoloji
yayılmalarının her iki kanalının da anlamlı olduğunu göstererek, tanıttığımız sistemi desteklemektedir.
Bilgi üretimi yoluyla teknoloji transferinin doğrudan ve dolaylı kullanımı aracılığıyla emek verimliliğinin
arttığını gözlemliyoruz.

Kaynakça

  • Aldieri, L. (2013). Knowledge technological proximity: evidence from US and European patents. Economics of Innovation and New Technology, 22(8), 807-819. https://doi.org/10.1080/10438.599.2013.788838
  • Aldieri, L., Sena, V., & Vinci, C. (2018). Domestic R&D spillovers and absorptive capacity: Some evidence for US, Europe and Japan. International Journal of Production Economics, 198, 38-49. https://doi.org/10.1016/j. ijpe.2018.01.015
  • Bloom, N., Schankerman, M., & van Reenen, J. (2013). Identifying technology spillovers and product market rivalry. Econometrica, 81(4), 1347-1393. https://doi.org/10.3982/ECTA9466
  • Gonçalves, E., & B. Ferreira Neto, A. (2016). Intersectoral flows of technological knowledge in emerging countries: An input-output analysis. CEPAL review. https://ideas.repec.org/s/ecr/col070.html
  • Gonçalves, E., Perobelli, F., & Araújo, I. (2017). Estimating intersectoral technology spillovers for Brazil. The Journal of Technology Transfer, 42, 1377-1406. https://ideas.repec.org/s/kap/jtecht.html
  • Griliches, Z. (1976). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10(1), 92-116. https://doi.org/10.2307/3003321
  • Grossman, G. M., & Helpman, E. (1991). Quality ladders in the theory of growth. The Review of Economic Studies, 58(1), 43-61. https://doi.org/10.2307/2298044
  • Hu, A. G., & Jaffe, A. (2003). Patent citations and international knowledge flow: the cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849-880.
  • Jaffe, A. (1986). Technological opportunity and spillovers of R&D: Evidence from Firms’ Patents, Profits and Market Value. American Economic Review, 76, 984-1001. http://www.nber.org/papers/w1815
  • Los, B., & Verspagen, B. (2000). R&D spillovers and productivity: Evidence from U.S. manufacturing microdata. Empirical Economics, 25, 127-148. https://doi.org/10.1007/s001.810.050007
  • Neuhäusler, P., Frietsch, R., & Kroll, H. (2019). Probabilistic concordance schemes for the re-assignment of patents to economic sectors and scientific publications to technology fields. Fraunhofer ISI Discussion Papers Innovation Systems and Policy Analysis, 60.
  • Oikawa, K. (2017). Inter-firm technological proximity and knowledge spillovers. Public Policy Review, 13(3). https://ideas.repec.org/s/tcr/wpaper.html
  • Romer, P. (1990). Endogenous technological change. Journal of Political Economy, 98(5), 71-102. https://www. jstor.org/stable/2937632
  • Terleckyj, N. (1980). Effects of R&D on the productivity growth of industries. University of Chicago Press.
  • Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R. and de Vries, G. J. (2015), An illustrated user guide to the world input–output database: the case of global automotive production. Review of International Economics, 23, 575–605.
  • Verspagen, B. (1997). Measuring intersectoral technology spillovers: estimates from the European and US patent office databases. Economic Systems Research, 9(1), 47-65. https://doi.org/10.1080/095.353.19700000004
  • Wooldridge, J. (2002). Econometric analysis of cross section and panel data. The MIT Press.

THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION

Yıl 2022, Cilt: 44 Sayı: 1, 20 - 35, 24.06.2022
https://doi.org/10.14780/muiibd.1135365

Öz

This study examines embodied technology flows through intermediate good transactions between industries
in various economies and focuses on the ambiguity about their link to innovation. The model consists
of two equations measuring labor productivity and knowledge production, and knowledge production
is measured as the explanatory variable of productivity. We compare direct effect of embodied research
transfer on labor productivity through intermediate good transactions between industries and its indirect
effect via knowledge creation. We use input-output tables as a proximity mechanism for research capital
and utilize production function approach. Simultaneous equations results support the system we introduce,
indicating that both channels of embodied technology spillovers are significant. We observe that labor
productivity soars with direct and indirect utilization of technology transfer via knowledge production.

Kaynakça

  • Aldieri, L. (2013). Knowledge technological proximity: evidence from US and European patents. Economics of Innovation and New Technology, 22(8), 807-819. https://doi.org/10.1080/10438.599.2013.788838
  • Aldieri, L., Sena, V., & Vinci, C. (2018). Domestic R&D spillovers and absorptive capacity: Some evidence for US, Europe and Japan. International Journal of Production Economics, 198, 38-49. https://doi.org/10.1016/j. ijpe.2018.01.015
  • Bloom, N., Schankerman, M., & van Reenen, J. (2013). Identifying technology spillovers and product market rivalry. Econometrica, 81(4), 1347-1393. https://doi.org/10.3982/ECTA9466
  • Gonçalves, E., & B. Ferreira Neto, A. (2016). Intersectoral flows of technological knowledge in emerging countries: An input-output analysis. CEPAL review. https://ideas.repec.org/s/ecr/col070.html
  • Gonçalves, E., Perobelli, F., & Araújo, I. (2017). Estimating intersectoral technology spillovers for Brazil. The Journal of Technology Transfer, 42, 1377-1406. https://ideas.repec.org/s/kap/jtecht.html
  • Griliches, Z. (1976). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10(1), 92-116. https://doi.org/10.2307/3003321
  • Grossman, G. M., & Helpman, E. (1991). Quality ladders in the theory of growth. The Review of Economic Studies, 58(1), 43-61. https://doi.org/10.2307/2298044
  • Hu, A. G., & Jaffe, A. (2003). Patent citations and international knowledge flow: the cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849-880.
  • Jaffe, A. (1986). Technological opportunity and spillovers of R&D: Evidence from Firms’ Patents, Profits and Market Value. American Economic Review, 76, 984-1001. http://www.nber.org/papers/w1815
  • Los, B., & Verspagen, B. (2000). R&D spillovers and productivity: Evidence from U.S. manufacturing microdata. Empirical Economics, 25, 127-148. https://doi.org/10.1007/s001.810.050007
  • Neuhäusler, P., Frietsch, R., & Kroll, H. (2019). Probabilistic concordance schemes for the re-assignment of patents to economic sectors and scientific publications to technology fields. Fraunhofer ISI Discussion Papers Innovation Systems and Policy Analysis, 60.
  • Oikawa, K. (2017). Inter-firm technological proximity and knowledge spillovers. Public Policy Review, 13(3). https://ideas.repec.org/s/tcr/wpaper.html
  • Romer, P. (1990). Endogenous technological change. Journal of Political Economy, 98(5), 71-102. https://www. jstor.org/stable/2937632
  • Terleckyj, N. (1980). Effects of R&D on the productivity growth of industries. University of Chicago Press.
  • Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R. and de Vries, G. J. (2015), An illustrated user guide to the world input–output database: the case of global automotive production. Review of International Economics, 23, 575–605.
  • Verspagen, B. (1997). Measuring intersectoral technology spillovers: estimates from the European and US patent office databases. Economic Systems Research, 9(1), 47-65. https://doi.org/10.1080/095.353.19700000004
  • Wooldridge, J. (2002). Econometric analysis of cross section and panel data. The MIT Press.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi
Bölüm Makaleler
Yazarlar

Cemil Faruk Durmaz Bu kişi benim 0000-0002-2304-8870

Yayımlanma Tarihi 24 Haziran 2022
Gönderilme Tarihi 3 Şubat 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 44 Sayı: 1

Kaynak Göster

APA Durmaz, C. F. (2022). THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 44(1), 20-35. https://doi.org/10.14780/muiibd.1135365
AMA Durmaz CF. THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. Haziran 2022;44(1):20-35. doi:10.14780/muiibd.1135365
Chicago Durmaz, Cemil Faruk. “THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi 44, sy. 1 (Haziran 2022): 20-35. https://doi.org/10.14780/muiibd.1135365.
EndNote Durmaz CF (01 Haziran 2022) THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 44 1 20–35.
IEEE C. F. Durmaz, “THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION”, Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 44, sy. 1, ss. 20–35, 2022, doi: 10.14780/muiibd.1135365.
ISNAD Durmaz, Cemil Faruk. “THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION”. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 44/1 (Haziran 2022), 20-35. https://doi.org/10.14780/muiibd.1135365.
JAMA Durmaz CF. THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2022;44:20–35.
MLA Durmaz, Cemil Faruk. “THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION”. Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi, c. 44, sy. 1, 2022, ss. 20-35, doi:10.14780/muiibd.1135365.
Vancouver Durmaz CF. THE NEXUS BETWEEN EMBODIED TECHNOLOGY DIFFUSION AND PRODUCTIVITY: KNOWLEDGE PRODUCTION. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2022;44(1):20-35.