SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION
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 cu...
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| Language: | English |
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Mehmet Akif Ersoy University
2023-11-01
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| Series: | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/2831721 |
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| _version_ | 1832584535080960000 |
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| author | Yusuf Kalkan |
| author_facet | Yusuf Kalkan |
| author_sort | Yusuf Kalkan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-98dca2892e9d458c8f9ccea586d7c659 |
| institution | Kabale University |
| issn | 2149-1658 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Mehmet Akif Ersoy University |
| record_format | Article |
| series | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| spelling | doaj-art-98dca2892e9d458c8f9ccea586d7c6592025-01-27T13:19:08ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582023-11-011031898191510.30798/makuiibf.1219000273SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSIONYusuf Kalkan0https://orcid.org/0000-0003-4246-8624GÜMÜŞHANE ÜNİVERSİTESİThe 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.https://dergipark.org.tr/en/download/article-file/2831721high technology exportgeographic information systemsmoran indexgeographically weighted regression.yüksek teknoloji i̇hracatıcoğrafi bilgi sistemimoran i̇ndekscoğrafi ağırlıklı regresyon. |
| spellingShingle | Yusuf Kalkan SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi high technology export geographic information systems moran index geographically weighted regression. yüksek teknoloji i̇hracatı coğrafi bilgi sistemi moran i̇ndeks coğrafi ağırlıklı regresyon. |
| title | SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_full | SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_fullStr | SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_full_unstemmed | SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_short | SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION |
| title_sort | spatial analysis of high tech exports with geographically weighted regression |
| topic | high technology export geographic information systems moran index geographically weighted regression. yüksek teknoloji i̇hracatı coğrafi bilgi sistemi moran i̇ndeks coğrafi ağırlıklı regresyon. |
| url | https://dergipark.org.tr/en/download/article-file/2831721 |
| work_keys_str_mv | AT yusufkalkan spatialanalysisofhightechexportswithgeographicallyweightedregression |