Analysis of OECD Countries in Terms of Foreign Trade of a Wood-Based Product Group via Hierarchical Clustering
Öz
In today's globalizing world, economic cooperation is of great importance for countries to develop their trade networks. It is possible to consider the OECD as one of such collaborations. The main purpose of this study is to subject the export and import values of OECD countries in terms of plywood, veneered panel and similar laminated wood product group to hierarchical cluster analysis and to classify the countries according to their similarities. The plywood, veneered panel and similar laminated wood export and import data belonging to the years 2013-2023 of the countries subject to the study were provided from Trademap website. The results of the hierarchical cluster analysis indicated that it is possible to divide OECD countries into minimum 2 groups and maximum 4 groups in terms of export, and minimum 2 groups and maximum 5 groups in terms of import. Moreover, hierarchical cluster analysis revealed Türkiye's position among the OECD countries. It has been understood that Türkiye is in the cluster with the highest number of countries, in all clustering options in terms of both the export and import. This result demonstrated that Türkiye is similar to a large number of the OECD countries in terms of foreign trade of the relevant product group. It is possible to state that such studies may be important in terms of both seeing the current situation of the countries and making more effective assessments regarding the products or sectors under research.
Anahtar Kelimeler
Plywood, OECD, foreign trade, hierarchical clustering, wood-based product
Kaynakça
- Afzal, A., Khan, L., Hussain, M. Z., Hasan, M. Z., Mustafa, M., Khalid, A., Awan, R., Ashraf, F., Khan, Z. A., & Javaid, A. (2024). Customer segmentation using hierarchical clustering. 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Apr 5-7, 1–6, Pune, India.
- Akyüz, K. C., Yıldırım, İ., Ersen, N., Akyüz, İ., & Memiş, D. (2020). Competitiveness of the forest products industry in Turkey: The revealed comparative advantage index. Drewno, 63(205),155-170. https://doi.org/10.12841/wood.1644-3985.333.09
- Akyüz, K. C., Yıldırım İ., Balaban, Y., & Korkut, S. (2010). Analysis of forest product trade relationships between Turkey and European Union member states. African Journal of Biotechnology, 9(16), 2353-2359.
- Akyüz, İ., Ersen, N., Bayram, B. Ç., Acar, M., Akyüz, K. C., & Üçüncü, T. (2019). Investigation of the similarities of industrial wood production statistics of regional directorates of forestry in Turkey using cluster and discriminant analysis. Kastamonu University Journal of Forestry Faculty, 19(2), 214-224. https://doi.org/10.17475/kastorman.625588
- Benlaria, H. (2024). The impact of economic factors on Saudi Arabia’s foreign trade with BRICS countries: A gravity model approach. Economies, 12, 305. https://doi.org/10.3390/economies12110305
- Bouguettaya, A., Yu, Q., Liu, X., Zhou, X., & Song, A. (2015). Efficient agglomerative hierarchical clustering. Expert Systems with Applications, 42(5), 2785–2797. https://doi.org/10.1016/j.eswa.2014.09.054
- Braithwaite, J., Tran, Y., Fisher, G., Ellis, L. A., Smith, C. L., & Zurynski, Y. (2025). Health system performance on greenhouse gas emissions, climate change and development status in 38 OECD countries. Scientific Reports, 15, 5101. https://doi.org/10.1038/s41598-025-89485-0
- Bu, J., Liu, W., Pan, Z., & Ling, K. (2020). Comparative study of hydrochemical classification based on different hierarchical cluster analysis methods. International Journal of Environmental Research and Public Health, 17, 9515. https://doi.org/10.3390/ijerph17249515
- Cicioğlu, Ş., İbrahim, R. H. A. (2023). Analysis of foreign trade between Türkiye and Africa. Turkish Journal of Middle Eastern Studies, 10(2), 75-102. https://doi.org/10.26513/tocd.1356970
- Demiroğlu, Ö. (2019). Çekim modeli uygulamasında son gelişmeler ve yapısal/teorik çekim modeli. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 18(35), 889-904.