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Türkiye'nin Elektrikli Makine Rekabetinde Ar-Ge ve Verimlilik: AKÜ ve Panel Çekim Modeli

Yıl 2024, Cilt: 31 Sayı: 4, 723 - 741, 21.12.2024

Öz

Elektrikli makine ürünleri ulusların ekonomik kalkınmasında önemli bir rol oynamaktadır. Bu ürünler özellikle 18. yy sanayileşmenin gelişmesiyle birlikte ülkelerin ihracatına ve ekonomik verimliliğine katkı sağlamaktadır. Bu çalışma, 2004-2018 döneminde Türkiye'nin seçili OECD ülkelerine yönelik elektrikli makinelerdeki açıklanmış karşılaştırmalı üstünlüğünü (AKÜ) ve bunun belirleyicilerini panel çekim modeliyle analiz etmektedir. Özellikle katma değere sahip ürün gruplarında ülkeler arasındaki Ar-Ge ve verimlilik farklarının ele alınması büyük önem taşımaktadır. AKÜ endeksinden elde edilen bulgular, Türkiye'nin OECD ülkelerine karşı elektrikli makine ürünlerinde karşılaştırmalı dezavantaja sahip olduğunu göstermektedir. PPML yöntemi ile uygulanan panel çekim modeli bulgularına göre AKÜ endeksi üzerinde Türkiye ve OECD ülkelerinin GSYH'si pozitif; ülkeler arasındaki kişi başına GSYH, Ar-Ge ve işgücü verimliliği farkları ile mesafenin negatif bir etkisi olduğu tespit edilmiştir. Bu bağlamda Türkiye'nin yüksek teknoloji rekabetinde diğer ülkelerle olan Ar-Ge ve işgücü verimliliği farkını azaltması gerekmektedir. Bu hedefe ulaşmak için hükümetin üniversiteler ve teknoloji merkezlerinde teknik eğitim altyapı ve programlarını güçlendirmesi, Ar-Ge harcamalarına daha fazla mali kaynak ayırarak teknolojide rekabet avantajını artırması gerekmektedir.
Anahtar Kelimeler: Türkiye, Elektrikli Makineler, Rekabet, Ar-Ge ve Verimlilik, Panel Çekim Modeli
JEL Sınıflandırması: B22, C23, F18, O32

Kaynakça

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R&D and Productivity in Turkey's Electrical Machinery Competitiveness: RCA and Panel Gravity Model

Yıl 2024, Cilt: 31 Sayı: 4, 723 - 741, 21.12.2024

Öz

Electrical machine products play a significant role in the economic development of nations. These products have contributed to countries' exports and economic efficiency, especially since the industrialization of the 18th century. This study analyzes Turkey's revealed comparative advantage (RCA) in electric machinery against selected OECD countries for the period 2004-2018 using the panel gravity model. In particular, examining the differences in R&D and productivity between countries in high value-added product groups is of great importance. The findings from the RCA index indicate that Turkey has a comparative disadvantage in electrical machine products compared to OECD countries. According to the results of the panel gravity model applied using the PPML method, both Turkey's and OECD countries' GDP have a positive effect on the RCA index, while gaps in GDP per capita, R&D, and labor productivity between the countries, as well as distance, have a negative impact. In this context, Turkey needs to reduce the gap in R&D and labor productivity compared to other countries in order to enhance its competitiveness in high-tech sectors. To achieve this goal, the government should strengthen technical education infrastructure and programs at universities and technology centers and increase financial resources allocated to R&D to boost competitive advantage in technology.
Keywords: Turkey, Electrical Machines, Competition, R&D and Productivity, Panel Gravity Model
JEL Classification: B22, C23, F18, O32

Kaynakça

  • Abbas, S. and Waheed, A. (2017). Trade Competitiveness of Pakistan: Evidence from The Revealed Comparative Advantage Approach. Competitiveness Review: An International Business Journal, Vol. 27, Iss. 5, 462-475. https://doi.org/10.1108/CR-12-2015-0092
  • Akça, E. E. (2021). Determinants of Export Flows from Turkey to BRICS Countries: The Findings from the Augmented-Gravity Model Approach. Ekonomik Yaklasim, Vol. 32, Iss. 118. https://doi.org/10.5455/ey.17502
  • Akça, E. E. (2024). Economic, Geographical, Institutional, and Political Determinants of Bilateral Manufacturing Exports: A Structural Gravity Model Approach for Türkiye. Panoeconomicus, 1-19. https://doi.org/10.2298/PAN210719004A
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  • Altay, B. ve Gürpınar, K. (2008). Açıklanmış Karşılaştırmalı Üstünlükler ve Bazı Rekabet Gücü Endeksleri: Türk Mobilya Sektörü Üzerine Bir Uygulama. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakülltesi Dergisi, Cilt 10, Sayı 1, 257-274. https://dergipark.org.tr/en/download/article-file/19006
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  • Hardi, I., Dawood, T. C., and Syathi, P. B. (2021). Determinants Comparative Advantage of Non-Oil Export 34 Provinces in Indonesia. International Journal of Business, Economics, and Social Development, Vol. 2, Iss. 3, 98-106. https://doi.org/10.46336/ijbesd.v2i3.137
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  • Hassan, M. U. and Ahmad, H. K. (2018). An Estimation of Normalized Revealed Comparative Advantage and Its Determinants in Pakistan. Pakistan Vision, Vol. 19, Iss. 1, 231-257.
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  • Kiani, A., Ijaz, F. and Siddique, H. M. A. (2018). Determinants of Agricultural Exports of Pakistan: An Application of Gravity Model. Dialogue (Pakistan), Vol. 13, Iss. 4, 467-478.
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  • Kurniawati, R., Nawiyah, N. and Sutjiatmo, B. P. (2023). Indonesia's Electronic Export Potential in The Global Market with Gravity Panel Model Approach. West Science Journal Economic and Entrepreneurship, Vol. 1, Iss. 11, 389-397. https://doi.org/10.58812/wsjee.v1i11.397
  • Laursen, K. (2015). Revealed Comparative Advantage and The Alternatives as Measures of International Specialization. Eurasian Business Review, Vol. 5, 99-115. https://doi.org/10.1007/s40821-015-0017-1
  • Lee, S. M. (2020). Revealed Comparative Advantage of Selected ASEAN Countries’ Crustacean Export to Japan. In IOP Conference Series: Earth and Environmental Science, Vol. 414, No. 1, 012010. https://doi.org/10.1088/1755-1315/414/1/012010
  • Levene, H. (1960). Robust Tests for Equality of Variances. Contributions to Probability and Statistics, 278-292. Łukiewska, K. (2022). Impact of Labor Productivity on The Export Performance of The Food Industry in EU Member States. European Research Studies Journal, Vol. 25, Iss. 3, 74-83.
  • Martínez-Zarzoso, I. (2011). The Log of Gravity Revisited. Applied Economics, Vol. 45, Iss. 3, 311-327. https://doi.org/10.1080/00036846.2011.599786
  • Maryam, J. and Mittal, A. (2019). An Empirical Analysis of India’s Trade in Goods With BRICS. International Review of Economics, Vol. 66, 399-421. https://doi.org/10.1007/s12232-019-00328-7
  • Matyas, L. (1997). Proper Econometric Specification of the Gravity Model. The World Economy, Vol. 20, Iss. 3, 363-368.
  • Montobbio, F. and Sterzi, V. (2013). The Globalization of Technology in Emerging Markets: A Gravity Model on The Determinants of International Patent Collaborations. World Development, Vol. 44, 281-299. https://doi.org/10.1016/j.worlddev.2012.11.017
  • Muryani, M., Sari, D. R. and Landiyanto, E. A. (2019). Competitiveness Analysis and Factors That Influence The Export of Indonesian Shrimp Commodities. Opción: Revista de Ciencias Humanas y Sociales, Vol. 22, 1417-1432. https://repository.unair.ac.id/95360/
  • Nadiri, M. I. and Prucha, I. R. (1991). Comparison and Analysis of Productivity Growth and R&D Investment in The Electrical Machinery Industries of the United States and Japan, Productivity Growth in Japan and the United States. University of Chicago Press. 109-133. https://doi.org/10.7208/9780226360607-007
  • Noor, F., Bhutta, A. N. and Farooq, I. (2023). The Determinants of Leather Exports of Pakistan: A Gravity Panel Approach. Journal of Applied Economics and Business Studies, Vol. 7, Iss. 1, 47-66.
  • Obermayer, N. (2023). Examining Digital Readiness in the Era Of Industry 4.0 in Tunisia. In European Conference on Knowledge Management, Vol. 24, Iss. 2, 1579-1585. https://doi.org/10.34190/eckm.24.2.1474
  • Our World in Data (2024), https://ourworldindata.org/grapher/labor-productivity-per-hour-pennworldtable?tab=table&time=2004..2018, Erişim Tarihi (02.02.2024).
  • Pöyhönen, P. (1963). A Tentative Model for the Volume of Trade Between Countries. Weltwirtschaftliches Archiv, Vol. 90, 23-40. https://www.jstor.org/stable/40436776
  • Proença, I. and Faustino, H. C. (2015). Modelling Bilateral Intra-Industry Trade Indexes with Panel Data: A Semiparametric Approach. Computational Statistics, Vol. 30, 865-884. https://doi.org/10.1007/s00180-015-0556-z
  • Putra, I. and Nasrudin, N. (2023). Analysis of Indonesian Tuna Fish Export to Twelve Main Destination Countries: A Panel Gravity Model. Asian Journal of Business Environment, Vol. 13, Iss. 1, 31-41. https://doi.org/10.13106/ajbe.2023.vol13.no1.31
  • Rahman, M. M. (2007). The Causative Factors of Bangladesh's Exports: Evidence from The Gravity Model Analysis. In Proceedings of the 48th Annual Conference of the New Zealand Association of Economists.
  • Ramli, F. A., Handoyo, R. D., Ridzuan, A. R. and Razak, M. I. M. (2020). Analysis of Comparative Advantages and Export Determinants of Indonesian Tuna Fish. International Journal of Academic Research in Business and Social Sciences, Vol. 10, Iss. 5, 361-371. https://repository.unair.ac.id/117652/
  • Rosyadi, F. H., Mulyo, J. H., Perwitasari, H. and Darwanto, D. H. (2021). Export Intensity and Competitiveness of Indonesia's Crude Palm Oil to Main Destination Countries. Agricultural Economics (Czech Republic), Vol. 67, Iss. 5, 189-199. https://doi.org/10.17221/371/2020-AGRICECON
  • Sahu, P. K. and Heng, S. Y. (2017). India's Competitive Advantage and Export Performance: A Gravity Model Approach. Arthshastra Indian Journal of Economics & Research, Vol. 6, Iss. 6, 23-37.
  • Santos Silva, J. M. C. and Tenreyro, S. (2006). The Log of Gravity. Review of Economics and Statistics, 641–658. https://www.jstor.org/stable/40043025
  • Saray, M. O. ve Hark, R. (2015). OECD Ülkelerinin İleri-Teknoloji Ürünlerindeki Rekabet Güçlerinin Değerlendirilmesi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt 5, Sayı 1, 347-372. https://dergipark.org.tr/en/pub/ckuiibfd/issue/32904/365556
  • Sawyer, W. C., Tochkov, K. and Yu, W. (2017). Regional and Sectoral Patterns and Determinants of Comparative Advantage in China. Frontiers of Economics in China, Vol. 12, Iss. 1, 7-36. https://doi.org/10.3868/s060-006-017-0002-6
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  • Wang, J. P. (2016). Revealed Comparative Advantage of Capital-Intensive Industry in China. In International Conference on Computational Modeling. Simulation and Applied Mathematics, China.
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  • Wiranthi, P. E., Aminudin, I. and Dewi, E. R. (2019). A Gravity mModel for Indonesian Canned Tuna Exports to The European Union Market: An Application of PPML Estimator, Sriwijaya International Journal of Dynamic Economics and Business, 31-52. https://doi.org/10.29259/sijdeb.v3i1.31-52
  • World Bank (2024). https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS, Erişim Tarihi (02.02.2024).
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  • World Bank (2024). https://data.worldbank.org/indicator/NY.GDP.PCAP.KD, Erişim Tarihi (02.02.2024).
  • Yanar, R. ve Çelik, H. (2020). Sermaye-Yoğun Mal İhracatında Rekabet Gücünün Belirleyicileri: Türkiye için Yapısal Kırılmalı Bir Analiz. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD), Cilt 12, Sayı 22, 127-138. https://doi.org/10.20990/kilisiibfakademik.705593
  • Yapraklı, S. (2011). Uluslararası Rekabet Gücünü Etkileyen Makroekonomik Faktörler: Türk İmalat Sanayi Üzerine Bir Uygulama. Sosyal Ekonomik Araştırmalar Dergisi, Cilt 11, Sayı 22, 373-402. https://dergipark.org.tr/en/pub/susead/issue/28413/302361
  • Yilmaz, N. D. and Karaalp-Orhan, H. S. (2015). Comparative Advantage of Textiles and Clothing: Evidence for Top Exporters in Eastern Europe. Fibres & Textiles in Eastern Europe, Vol. 6, Iss. 114, 8-13.
Toplam 83 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Panel Veri Analizi , Büyüme, Kalkınma Ekonomisi - Makro, Sanayi Ekonomisi
Bölüm Makaleler
Yazarlar

Deniz Erenel 0000-0002-7331-2561

Yayımlanma Tarihi 21 Aralık 2024
Gönderilme Tarihi 16 Nisan 2024
Kabul Tarihi 4 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 31 Sayı: 4

Kaynak Göster

APA Erenel, D. (2024). Türkiye’nin Elektrikli Makine Rekabetinde Ar-Ge ve Verimlilik: AKÜ ve Panel Çekim Modeli. Journal of Management and Economics, 31(4), 723-741.