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DÜNYA YEŞİL KAHVE İHRACATININ AĞ ANALİZİ YÖNTEMİYLE İNCELENMESİ

Year 2024, Volume: 38 Issue: 1, 268 - 309, 29.03.2024
https://doi.org/10.48070/erciyesakademi.1423914

Abstract

Yeşil kahve dünya dış ticaretinde önemli bir ekonomik değere sahiptir. Ürün Karmaşıklık Endeksi'ne göre 104. en çok işlem gören ve 1024. en karmaşık üründür. 2021 yılında dünyada yaklaşık 10 milyon ton yeşil kahve üretimi, 7,8 milyon ton yeşil kahve ihracatı ve 7,5 milyon ton yeşil kahve ithalatı yapılmıştır. Bu çalışmada belirlenmiş araştırma soruları çerçevesinde 1986, 1995, 2000, 2010, 2013, 2018, 2020, 2021, 2022 yılları ihracat değerleri kullanılıp ağ analizi yapılarak dünya yeşil kahve ihracatında öncü ülkelerin ağ görselleri çıkartılmış ve elde edilen istatistiki değerler yorumlanmıştır. Buna göre ilk dönemlerde ticari bağlantı kuramayan ülkelerin sonraki dönemlerde bağlantı kurmaya başladıkları, ağların yoğunluklarının olumlu ekonomik dönemlerde giderek arttığı, özellikle salgın dönemi 2020 ve 2022 Rusya-Ukrayna savaşı dönemi gibi olumsuz ekonomik gelişmelerin olduğu yıllarda ise ağların yoğunluklarının azaldığı görülmüştür. Ayrıca dönemlere göre istatistiki değerlerde ve çekirdek ve çevre ülkelerde önemli değişimler tespit edilmiştir.

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INVESTIGATION OF WORLD GREEN COFFEE EXPORT USING NETWORK ANALYSIS

Year 2024, Volume: 38 Issue: 1, 268 - 309, 29.03.2024
https://doi.org/10.48070/erciyesakademi.1423914

Abstract

Green coffee has an important economic value in world foreign trade. It is the 104th most traded and 1024th most complex product according to the Product Complexity Index. In 2021, approximately 10 million tons of green coffee was produced, 7.8 million tons of green coffee was exported and 7.5 million tons of green coffee was imported in the world. In this study, within the framework of the research questions determined, the export values of 1986, 1995, 2000, 2010, 2013, 2018, 2020, 2021, 2022 were used and network analysis was performed, network visuals of the leading countries in world green coffee exports were extracted and the obtained statistical values were interpreted. Accordingly, it has been observed that countries that could not establish commercial connections in the early periods began to establish connections in later periods, the density of the networks gradually increased in positive economic periods, and the density of the networks decreased in years of negative economic developments, especially during the epidemic period, 2020 and the 2022 Russia-Ukraine war period. In addition, significant changes were detected in statistical values and in core and peripheral countries according to periods.

References

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  • Angelidis, G., Bratsas, C., Makris, G., Ioannidis, E., Varsakelis, N. C., & Antoniou, I. E. (2021). Global value chains of covid-19 materials: a weighted directed network analysis. Mathematics, 9(24), 3202. https://doi.org/10.3390/math9243202
  • Anh, H. N., Bokelmann, W., Thi T. N., Thi N. D., & Van M. N. (2019). Smallholders’ preferences for different contract farming models: Empirical evidence from sustainable certified coffee production in Vietnam. Sustainability, 11(14), 3799. https://doi.org/10.3390/su11143799
  • Atmadji, E., SA, E. S. A., & Suhardiman, Y. H. (2018). Comparison analysis of imported coffee of Malaysia from Indonesia and Vietnam. Economic Journal of Emerging Markets, 10(1), 93-98. https://doi.org/10.20885/ejem.vol10.iss1.art10
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  • Bacsi, Z., Fekete F. M., & Ma’ruf, M. I. (2023). A graph-based network analysis of global coffee trade—the impact of COVID-19 on trade relations in 2020. Sustainability, 15(4), 3289.
  • Bargawi, H. K., & Newman, S. A. (2017). From futures markets to the farm gate: A study of price formation along Tanzania’s coffee commodity chain. Economic geography, 93(2), 162-184.
  • Bilen, C., El Chami, D., Mereu, V., Trabucco, A., Marras, S., & Spano, D. (2022). A Systematic Review on the Impacts of Climate Change on Coffee Agrosystems. Plants, 12(1), 102.
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  • Cifuentes, J. C. A., & Nates, D. E. (2016). The international coffee price and its effect on the retail price for the five main cities in Colombia. Revista Finanzas y Política Económica, 8(2), 379-399.
  • Çubukçu, C., & Özbay, B. (2016). Ülkelerin ihracat ilişkilerine göre ilişkisel ağ analizi. International Conference on Computer Science and Engineering, Tekirdağ.
  • Deina, C., Amaral Prates, M. H., Alves, C. H. R., Martins, M. S. R., Trojan, F., Stevan Jr, S. L., & Siqueira, H. V. (2022). A methodology for coffee price forecasting based on extreme learning machines. Information Processing in Agriculture, 9(4), 556-565.
  • Deng, G., Lu, F., Wu, L., & Xu, C. (2021). Social network analysis of virtual water trade among major countries in the world. Science of The Total Environment, 753, 142043. https://doi.org/10.1016/j.scitotenv.2020.142043
  • Dong, G., Qing, T., Tian, L., Du, R., & Li, J. (2021). Optimization of crude oil trade structure: a complex network analysis. Complexity, 2021, 1-11. https://doi.org/10.1155/2021/3480546
  • Dumor, K., Li, Y., Ampaw, E. M., Essel, C. H. K., Essel, E. O., & Mutiiria, O. M. (2021). Situating Africa in the exports patterns of China's Belt and Road Initiative: A network analysis. African Development Review, 33(2), 343-356. https://doi.org/10.1111/1467-8268.12540
  • Dupas, M. C., Halloy, J., & Chatzimpiros, P. (2022). Power law scaling and country-level centralization of global agricultural production and trade. Environmental Research Letters, 17(3), 034022.
  • Edelmann, H., Quinones-Ruiz, X. F., & Penker, M. (2022). How close do you like your coffee?-Examining proximity and its effects in relationship coffee models. Journal of Rural Studies, 91, 24-33.
  • Erkekoğlu, H., & Yılmaz, B. (2020). OECD ülkelerinin grup içi ticari ilişkilerinin ağ analizi ile değerlendirilmesi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (1), 321-344.
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  • Food and Agriculture Organization of the United Nations, (2023, Mayıs 20, c). Trade - crops and livestock products. http://www.fao.org/faostat/en/#compare
  • Fracasso, A., Nguyen, H. T., & Schiavo, S. (2018). The evolution of oil trade: A complex network approach. Network Science, 6(4), 545-570. https://doi.org/10.1017/nws.2018.6
  • Fu, Y., Xue, L., Yan, Y., Pan, Y., Wu, X., & Shao, Y. (2021). Energy network embodied in trade along the belt and road: spatiotemporal evolution and influencing factors. Sustainability, 13(19), 10530.
  • Gençer, M. (2017). Sosyal ağ analizi yöntemlerine bir bakış. Yıldız Sosyal Bilimler İncelemesi, 3(2), 19-34.
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There are 78 citations in total.

Details

Primary Language Turkish
Subjects International Economics (Other), Agricultural Economics
Journal Section Articles
Authors

Fatih Boz 0000-0002-8976-1003

Halil Özekicioğlu 0000-0003-4499-0168

Hüseyin Topuz 0000-0002-9806-3784

Early Pub Date March 26, 2024
Publication Date March 29, 2024
Submission Date January 23, 2024
Acceptance Date March 14, 2024
Published in Issue Year 2024 Volume: 38 Issue: 1

Cite

APA Boz, F., Özekicioğlu, H., & Topuz, H. (2024). DÜNYA YEŞİL KAHVE İHRACATININ AĞ ANALİZİ YÖNTEMİYLE İNCELENMESİ. Erciyes Akademi, 38(1), 268-309. https://doi.org/10.48070/erciyesakademi.1423914

ERCİYES AKADEMİ | 2021 | erciyesakademi@erciyes.edu.tr Bu eser Creative Commons Atıf-Gayri Ticari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.