Affiliation:
1. GÜMÜŞHANE ÜNİVERSİTESİ
Abstract
The development of High-Technology Exports (HTE) contributes to the increase of competitiveness and growth in national production, the development of commercial and economic cooperation with foreign countries, and the diversification of the economy. In addition, high technology exports reduce the current account deficit of the country's economy. Therefore, high-tech industries have become indispensable for economic development in a country. The aim of this study is to examine the existence of spatial (neighbourhood) relations of countries in high-technology exports. In this study, Exploratory Regression analysis was applied to determine the model that best explains HTE among the variables. Moran Index was used for spatial autocorrelation, Geographical Weighted Regression (GWR) method for spatial regression analysis, and Ordinary Least Squares (OLS) method, to compare with the GWR method. The GWR model established in this study showed that countries have a weak or strong spatial relationship with their neighboring countries in terms of HTE. It has been observed that this spatial relationship is strong in the countries neighboring China, which ranks first in HTE, while the spatial relationship is weak in countries where HTE is low.
Publisher
Mehmet Akif Ersoy Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi
Subject
Organic Chemistry,Biochemistry
Reference35 articles.
1. Akar, T. & Topoğlu, E. (2022). The effects of R&D expenditures and patent applications on exports of high technology products and information communication technologies. Anadolu University Journal of Faculty of Economics, 4(1), 20-35. doi: https://doi.org/10.54737/aujfe.1012957
Alemu, A. M. (2012). The effect of R&D on high-tech product export competitiveness: Empirical evidence from panel data of east asian economies. STI Policy Review, 3(1), 46-62. doi: https://doi.org/10.22675/STIPR.2012.3.1.046
2. ArcGIS. (2022). Exploratory Regression (Spatial Statistics). Erişim adresi https://pro.arcgis.com/en/pro-app/2.8/tool-reference/spatial-statistics/exploratory-regression.htm
ArcGIS. (2022). Interpreting GWR results. Erişim adresi https://desktop.arcgis.com/en/arcmap/latest/tools/spatial-statistics-toolbox/interpreting-gwr-results.htm
3. Aydın, O., Bostan, P. A. & Özgür, E. M. (2018). Mekânsal veri analizi teknikleriyle Türkiye’de toplam doğurganlık hızının dağılımı ve modellenmesi. Cografya Dergisi, 37, 27-45. doi: https://doi.org/10.26650/JGEOG434650
Braunerhjelm, P. & Thulin, P. (2008). Can countries create comparative advantages? R&D expenditures, hightech exports and country size in 19 OECD countries,1981–1999. International Economic Journal, 22(1), 95-111. doi: https://doi.org/10.1080/10168730801887026
4. Cooke, P., Heidenreich, M. & Braczyk, H. (2004). Regional innovation systems: The role of governance in a globalised world. London: Routledge.
5. Falk, M. (2009) High-tech exports and economic growth in industrialized countries. Applied Economics Letters, 16(10), 1025-1028. doi: https://doi.org/10.1080/13504850701222228