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KÜRESELLEŞMENİN FARKLI BOYUTLARININ YÜKSEK TEKNOLOJİ İHRACATI ÜZERİNE ETKİSİ: GELİŞMİŞ ÜLKELER

Yıl 2022, , 972 - 992, 27.12.2022
https://doi.org/10.36543/kauiibfd.2022.040

Öz

Bu çalışmada gelişmiş ülkelerde yüksek teknoloji ihracatı ile gelir, ekonomik küreselleşme ve kültürel küreselleşme arasındaki ilişki 1996-2018 dönemi için analiz edilmektedir. Bu ilişkiyi analiz etmek için analizin birinci kısmında kulüp yakınsama yöntemi kullanılarak gelişmiş ülkeler yüksek teknoloji ihracatı verisi kullanılarak gruplara ayrılmıştır. Analizin ikinci kısmında ise elde edilen üç farklı kulüp için yatay kesit bağımlılığı, eğim homojenliği, durağanlık, eşbütünleşme ve uzun dönem katsayı tahmincisi testlerine yer verilmiştir. Analizin birinci kısmında elde edilen kulüpler şu ülkelerden oluşmaktadır: Kulüp 1 (Kanada, Çek Cumhuriyeti, Estonya, Fransa, Hong Kong, Almanya, İrlanda, İsrail, İtalya, Japonya, Letonya, Hollanda, Singapur, Slovakya, Güney Kore, İsviçre, Büyük Britanya, ABD), Kulüp 2 (Danimarka, Finlandiya, Yunanistan, Norveç, Portekiz, Slovenya, İspanya) ve Kulüp 3 (Güney Kıbrıs, İzlanda, Malta, Yeni Zelanda). Ardından analizin ikinci kısmında kulüp yakınsama yöntemi ile elde edilen bu üç kulüp için yatay kesit bağımlılığı, eğim homojenliği, durağanlık, eşbütünleşme ve AMG (uzun dönem katsayı tahmincisi) testleri uygulanmıştır. Bu durumda elde edilen sonuçlara göre, gelişmiş ülkelerinde yüksek teknoloji ihracatının düşük olduğu kulüplere yakınsayan ülkelerde ekonomik ve kültürel küreselleşmenin yüksek teknoloji ihracatını artırıcı etkisi göze çarparken, yüksek teknoloji ihracatının yüksek değerlerine yakınsayan ülkelerin bulunduğu Kulüp 1 ülkelerinde ise gelirin yüksek teknoloji ihracatı üzerindeki artırıcı etkisi dikkat çekmektedir.

Kaynakça

  • Breitung, J. (2005). A parametric approach to the estimation of cointegration vectors in panel data. Econometric Reviews, 24(2), 151-173.
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Charutawephonnukoon, P., Jermsittiparsert, K., & Chienwattanasook, K. (2021). Impact of high technology exports, patent applications and research and development expenditure on economic growth: evidence from ASEAN countries. Psychology and Education, 58(2), 1956-1972.
  • Cieślik, A., & Wciślik, D. R. (2020). Convergence among the CEE-8 economies and their catch-up towards the EU-15. Structural Change and Economic Dynamics, 55, 39-48.
  • Erdil Sahin, B., (2019). Impact of high technology export on economic growth: an analysis on Turkey. Journal of Business, Economics and Finance (JBEF), V.8(3), p.165-172.
  • Gökmen, Y. & Turen, U. (2013). The determinants of high technology exports volume: A panel data analysis of EU-15 countries. International Journal of Management, Economics and Social Sciences, 2(3), 217–232. ISSN 2304 – 1366.
  • Furman, J.L., Porter, M.E. & Stern, S., (2002). The determinants of national innovative capacity, Research Policy, 31(6), 899-933. Göçer, İ. (2013). Ar-Ge harcamalarının yüksek teknolojili ürün ihracatı, dış ticaret dengesi ve ekonomik büyüme üzerindeki etkileri. Maliye Dergisi, 165(2), 215-240.
  • Gygli, S., Haelg, F. & Potrafke, N. & Sturm, J. (2019). The KOF Globalisation Index – revisited, Review of International Organizations, 14(3), 543-574.
  • Hobday, M., Cawson, A. & Kim, S. R. (2001). Governance of technology in the electronics industries of East and South-East Asia. Technovation. 21(4), 209-226.
  • Hodrick, R. J., & Prescott, E. C. (1997). Postwar US business cycles: An empirical investigation. Journal of Money, Credit, and Banking, 1-16.
  • Ismail, N.M. (2013). Innovation and high-tech trade in asian countries, International Conference on Recent Developments in Asian Trade Policy and Integration, 20th and 21st February, 2013 at the Kuala Lumpur Teaching Centre, the University of Nottingham Malaysia Campus.
  • Kabaklarli, E., Duran, M. S., & Üçler, Y. T. (2017). The determinants of high-technology exports: A panel data approach for selected OECD countries. In DIEM: Dubrovnik international economic meeting, 3(1), 888-900). Sveučilište u Dubrovniku.
  • Keeble, D., & Wilkinson, F. (2000). High-technology SMEs, regional clustering and collective learning: an overview. High-technology clusters, networking and collective learning in Europe, 1-20.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312.
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels, Cambridge Working Papers in Economics, 435.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Phillips, P. C., & Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771-1855.
  • Sara, T.S., Jackson, F.H. & Upchurch, L.T. (2012). Role of innovation in hi-tech-exports of a nation. International Journal of Business and Management, 7(7).
  • Seyoum, B. (2004). The role of factor conditions in high-technology exports: An emprical examination. The Journal of High Technology Management Research, 15(1), 145-162.
  • Tariq H. M, Xiang, T. & Huo, C. (2021). The transformation of national patents for high-technology exports: Moderating effects of national cultures, International Business Review, 30(1), 101771, ISSN 0969-5931.
  • Tebaldi, E. (2011), The Determinants of high-technology exports: A panel data analysis, Atlantic Economic Journal, 39(4), 343-353.
  • Westerlund, J. & Edgerton, D.L (2007). A panel bootstrap cointegration test, Economics Letters, 97(3), 185-190. World Bank (2021). World Development Indicators.
  • Yuanyuan Cheng, & Xin Yao, (2021). Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity, Renewable and Sustainable, 135, 110157.

THE EFFECT OF DIFFERENT DIMENSIONS OF GLOBALIZATION ON HIGH-TECH EXPORTS: ADVANCED COUNTRIES

Yıl 2022, , 972 - 992, 27.12.2022
https://doi.org/10.36543/kauiibfd.2022.040

Öz

In this study, the relationship between high technology exports and income, economic globalization and cultural globalization in developed countries is analyzed for the period 1996-2018. In order to analyze this relationship, in the first part of the analysis, developed countries were divided into groups using high technology export data using the club convergence method. In the second part of the analysis, cross-section dependency, slope homogeneity, stationarity, cointegration and long-term coefficient estimator tests are included for the three different clubs obtained. The clubs obtained in the first part of the analysis consist of the following countries: Club 1 (Canada, Czech Republic, Estonia, France, Hong Kong, Germany, Ireland, Israel, Italy, Japan, Latvia, Netherlands, Singapore, Slovakia, South Korea, Switzerland, Great Britain, USA), Club 2 (Denmark, Finland, Greece, Norway, Portugal, Slovenia, Spain) and Club 3 (South Cyprus, Iceland, Malta, New Zealand). Then, in the second part of the analysis, cross-section dependence, slope homogeneity, stationarity, cointegration and AMG (long-term coefficient estimator) tests were applied for these three clubs obtained by club convergence method. According to the results obtained in this case, the increasing effect of economic and cultural globalization on high-tech exports is striking in countries that converge to clubs with low high-tech exports in developed countries, while the increasing effect of income on high-tech exports in Club 1 countries where countries converge with high-tech exports is remarkable.

Kaynakça

  • Breitung, J. (2005). A parametric approach to the estimation of cointegration vectors in panel data. Econometric Reviews, 24(2), 151-173.
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Charutawephonnukoon, P., Jermsittiparsert, K., & Chienwattanasook, K. (2021). Impact of high technology exports, patent applications and research and development expenditure on economic growth: evidence from ASEAN countries. Psychology and Education, 58(2), 1956-1972.
  • Cieślik, A., & Wciślik, D. R. (2020). Convergence among the CEE-8 economies and their catch-up towards the EU-15. Structural Change and Economic Dynamics, 55, 39-48.
  • Erdil Sahin, B., (2019). Impact of high technology export on economic growth: an analysis on Turkey. Journal of Business, Economics and Finance (JBEF), V.8(3), p.165-172.
  • Gökmen, Y. & Turen, U. (2013). The determinants of high technology exports volume: A panel data analysis of EU-15 countries. International Journal of Management, Economics and Social Sciences, 2(3), 217–232. ISSN 2304 – 1366.
  • Furman, J.L., Porter, M.E. & Stern, S., (2002). The determinants of national innovative capacity, Research Policy, 31(6), 899-933. Göçer, İ. (2013). Ar-Ge harcamalarının yüksek teknolojili ürün ihracatı, dış ticaret dengesi ve ekonomik büyüme üzerindeki etkileri. Maliye Dergisi, 165(2), 215-240.
  • Gygli, S., Haelg, F. & Potrafke, N. & Sturm, J. (2019). The KOF Globalisation Index – revisited, Review of International Organizations, 14(3), 543-574.
  • Hobday, M., Cawson, A. & Kim, S. R. (2001). Governance of technology in the electronics industries of East and South-East Asia. Technovation. 21(4), 209-226.
  • Hodrick, R. J., & Prescott, E. C. (1997). Postwar US business cycles: An empirical investigation. Journal of Money, Credit, and Banking, 1-16.
  • Ismail, N.M. (2013). Innovation and high-tech trade in asian countries, International Conference on Recent Developments in Asian Trade Policy and Integration, 20th and 21st February, 2013 at the Kuala Lumpur Teaching Centre, the University of Nottingham Malaysia Campus.
  • Kabaklarli, E., Duran, M. S., & Üçler, Y. T. (2017). The determinants of high-technology exports: A panel data approach for selected OECD countries. In DIEM: Dubrovnik international economic meeting, 3(1), 888-900). Sveučilište u Dubrovniku.
  • Keeble, D., & Wilkinson, F. (2000). High-technology SMEs, regional clustering and collective learning: an overview. High-technology clusters, networking and collective learning in Europe, 1-20.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312.
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels, Cambridge Working Papers in Economics, 435.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.
  • Phillips, P. C., & Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771-1855.
  • Sara, T.S., Jackson, F.H. & Upchurch, L.T. (2012). Role of innovation in hi-tech-exports of a nation. International Journal of Business and Management, 7(7).
  • Seyoum, B. (2004). The role of factor conditions in high-technology exports: An emprical examination. The Journal of High Technology Management Research, 15(1), 145-162.
  • Tariq H. M, Xiang, T. & Huo, C. (2021). The transformation of national patents for high-technology exports: Moderating effects of national cultures, International Business Review, 30(1), 101771, ISSN 0969-5931.
  • Tebaldi, E. (2011), The Determinants of high-technology exports: A panel data analysis, Atlantic Economic Journal, 39(4), 343-353.
  • Westerlund, J. & Edgerton, D.L (2007). A panel bootstrap cointegration test, Economics Letters, 97(3), 185-190. World Bank (2021). World Development Indicators.
  • Yuanyuan Cheng, & Xin Yao, (2021). Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity, Renewable and Sustainable, 135, 110157.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Şenay Saraç 0000-0002-7093-3995

Aykut Yağlıkara 0000-0001-6728-2477

Yayımlanma Tarihi 27 Aralık 2022
Kabul Tarihi 8 Kasım 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Saraç, Ş., & Yağlıkara, A. (2022). KÜRESELLEŞMENİN FARKLI BOYUTLARININ YÜKSEK TEKNOLOJİ İHRACATI ÜZERİNE ETKİSİ: GELİŞMİŞ ÜLKELER. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 13(26), 972-992. https://doi.org/10.36543/kauiibfd.2022.040

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