Araştırma Makalesi
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Artificial Intelligence and Export Performance: Insights from OECD Countries

Yıl 2025, Cilt: 7 Sayı: 4, 258 - 271, 30.12.2025
https://doi.org/10.54821/uiecd.1786964

Öz

This study investigates the effects of artificial intelligence (AI) investments and research and development (R&D) expenditures on export performance across 15 OECD countries. The analysis is conducted using a panel dataset covering the period from 2013 to 2023 and employs the Method of Moments Quantile Regression (MMQR) approach. This method allows for examining how the impacts of AI and R&D expenditures on export performance vary across different quantiles of the conditional distribution, rather than focusing solely on average effects. The findings reveal that the relationship between AI investments and export performance is neither linear nor homogeneous and differs depending on countries’ export performance levels. In particular, AI investments are found to exert a suppressing effect on exports in the short run, while simultaneously reducing volatility and playing a stabilizing role in export performance. The effects of R&D expenditures are observed to be more pronounced in countries with low and medium levels of export performance, whereas they weaken at higher export levels. Overall, the results highlight the necessity of designing AI and R&D oriented policies within an integrated, differentiated, and country-specific framework that accounts for heterogeneity in export performance across OECD economies.

Kaynakça

  • Aksoy, M., Yilmaz, M. K., Golgeci, I., Tatoglu, E., Canci, M., & Hızarcı, A. E. (2024). Untangling the influence of corporate sustainability on export intensity: The moderating role of R&D intensity. Journal of International Marketing, 32(4), 38-57. https://doi.org/10.1177/1069031X231214233
  • Battaglia, D., Neirotti, P., & Paolucci, E. (2018). The role of R&D investments and export on SMEs’ growth: A domain ambidexterity perspective. Management Decision, 56(9), 1883-1903. https://doi.org/10.1108/MD-02-2017-0136
  • Benfratello, L., Bottasso, A., & Piccardo, C. (2022). 'R&D and export performance: Exploring heterogeneity along the export intensity distribution'. Journal of Industrial and Business Economics, 49(2), 189-232. https://doi.org/10.1007/s40812-022-00209-1
  • Bojnec, Š. (2014). Research and development spending and export performance by the technological intensity of the products. Ekonomický Časopis, 62(10), 1065-1080. Available at: https://www.sav.sk/journals/uploads/0620145410%2014%20Bojnec%20+%20RS.pdf
  • Carboni, O. A., & Medda, G. (2020). Linkages between R&D, innovation, investment and export performance: Evidence from European manufacturing firms. Technology Analysis & Strategic Management, 32(12), 1379-1392. https://doi.org/10.1080/09537325.2020.1769841
  • Chen, X., Wu, Y., & Long, Y. (2025). Does artificial intelligence promote sustainable growth of exporting firms?. Sustainability, 17(16), 7273. https://doi.org/10.3390/su17167273
  • Chen, Y. A., & Dong, N. (2025). AI capabilities and export performance: The moderating role of province market development and cultural distance. International Journal of Emerging Markets, 20(12), 4907-4925. https://doi.org/10.1108/IJOEM-12-2023-2014
  • Chishty, S. K., Sayari, S., Mohamed, A. H., Mallick, M. F., Khan, N., & Inkesar, A. (2025). The utilisation of artificial intelligence in the export performance of MNCs: The role of cultural distance. Administrative Sciences, 15(5), 160. https://doi.org/10.3390/admsci15050160
  • D’Angelo, A. (2012). Innovation and export performance: A study of Italian high-tech SMEs. Journal of Management & Governance, 16(3), 393-423. https://doi.org/10.1007/s10997-010-9157-y
  • Fan, J., Liao, Y., & Yao, J. (2015). Power enhancement in high‐dimensional cross‐sectional tests. Econometrica, 83(4), 1497-1541. https://doi.org/10.3982/ECTA12749
  • Fang, Y., & Liu, W. (2025). Artificial intelligence and export green sophistication. The Journal of International Trade & Economic Development, 34(7), 1737-1760. https://doi.org/10.1080/09638199.2025.2545761
  • Goldar, B. (2013). R&D intensity and exports: A study of Indian pharmaceutical firms. Innovation and Development, 3(2), 151-167. https://doi.org/10.1080/2157930X.2013.828878
  • Gur, N., & Avşar, V. (2016). Financial system, R&D intensity and comparative advantage. The Journal of International Trade & Economic Development, 25(2), 213-239. https://doi.org/10.1080/09638199.2015.1045928
  • Han, L., Wojan, T. R., Tian, Z., & Goetz, S. J. (2024). How export performance is mediated by innovation, owner characteristics, and location. Economics Letters, 237, 111657. https://doi.org/10.1016/j.econlet.2024.111657
  • Khiewngamdee, C., & Chanaim, S. (2025). The role of institutional and innovation ecosystem in moderating the impact of green practices on export performance: Evidence from European countries. Sustainability, 17(20), 9146. https://doi.org/10.3390/su17209146
  • Kumar, S., Kumar, V., Chatterjee, S., Mariani, M., & De Massis, A. (2025). The role of artificial intelligence capabilities in enhancing export performance: A study of ambidexterity and dynamic capabilities. International Marketing Review, 42(4), 698-714. https://doi.org/10.1108/IMR-10-2024-0426
  • Kwon, H. B., Lee, J., & Brennan, I. (2025). Complex interplay of R&D, advertising and exports in USA manufacturing firms: Differential effects of capabilities. Benchmarking: An International Journal, 32(2), 459-491. https://doi.org/10.1108/BIJ-03-2023-0183
  • Lefebvre, E., Lefebvre, L. A., & Bourgault, M. (1998). R&D-related capabilities as determinants of export performance. Small Business Economics, 10(4), 365-377. https://doi.org/10.1023/A:1007960431147
  • Leung, T. Y., & Sharma, P. (2021). Differences in the impact of R&D intensity and R&D internationalization on firm performance–Mediating role of innovation performance. Journal of Business Research, 131, 81-91. https://doi.org/10.1016/j.jbusres.2021.03.060
  • Lin, C., Xiao, S., & Tang, P. (2024). Does artificial intelligence improve export technical complexity upgrade of manufacturing enterprises? Evidence from China. Sage Open, 14(3), 21582440241267126. https://doi.org/10.1177/21582440241267126
  • Liu, J., Qin, C., & Chu, X. (2025). Development of corporate artificial intelligence and the quality of export products. Finance Research Letters, 78, 107217. https://doi.org/10.1016/j.frl.2025.107217
  • Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173. https://doi.org/10.1016/j.jeconom.2019.04.009
  • Naidoo, K. (2024). R&D, exports and employment growth: Firm-level evidence using administrative data from South Africa. The Journal of International Trade & Economic Development, 33(5), 818-844. https://doi.org/10.1080/09638199.2023.2222423
  • Neethirajan, S. (2023). Artificial intelligence and sensor technologies in dairy livestock export: Charting a digital transformation. Sensors, 23(16), 7045. https://doi.org/10.3390/s23167045
  • Ou, J., Zheng, Z., Ou, X., & Zhang, N. (2024). Smart city construction, artificial intelligence development, and the quality of export products: A study based on micro-level data of Chinese enterprises. Sustainability, 16(19), 8640. https://doi.org/10.3390/su16198640
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10), 1089-1117. https://doi.org/10.1080/07474938.2014.956623
  • Rahman, M. S., Golder, U., & Ghosh, P. (2024). Corporate investment in artificial intelligence: The role of GDP, ICT exports, and patents. Journal of Economics and Management, 46, 613-636. https://doi.org/10.22367/jem.2024.46.21
  • Rauf, A., & Bao, Y. (2024). Assessing the effect of domestic and foreign R&D on export: Empirical evidence from China. International Journal of Emerging Markets, 19(11), 3828-3847. https://doi.org/10.1108/IJOEM-02-2022-0282
  • Sandu, S., & Ciocanel, B. (2014). Impact of R&D and innovation on high-tech export. Procedia Economics and Finance, 15, 80-90. https://doi.org/10.1016/S2212-5671(14)00450-X
  • Shu, C., Zhao, J., Yao, Q., & Zhou, K. Z. (2024). Green innovation and export performance in emerging market firms: A legitimacy-based view. Management and Organization Review, 20(1), 85-110. https://doi.org/10.1017/mor.2023.40
  • Sohrabpour, V., Oghazi, P., Toorajipour, R., & Nazarpour, A. (2021). Export sales forecasting using artificial intelligence. Technological Forecasting and Social Change, 163, 120480. https://doi.org/10.1016/j.techfore.2020.120480
  • Sousa, C. M., Tsinopoulos, C., Yan, J., & Benito, G. R. (2025). Finding the sweet spot: Effects of exporting on the relationship between R&D investment and NPD performance. International Marketing Review, 42(1), 35-63. https://doi.org/10.1108/IMR-02-2024-0039
  • Tinits, P., Yi, J., Fey, C. F., & Meng, S. (2025). Government R&D support’s effects on export performance via innovation: An analysis of organizational motivators as moderators. International Business Review, 34(1), 102345. https://doi.org/10.1016/j.ibusrev.2024.102345
  • Wang, F., Wong, W. K., Ortiz, G. G. R., Al Shraah, A., Mabrouk, F., Li, J., & Li, Z. (2023). Economic analysis of sustainable exports value addition through natural resource management and artificial intelligence. Resources Policy, 82, 103541. https://doi.org/10.1016/j.resourpol.2023.103541
  • Wang, Y., Wang, T., & Wang, Q. (2024). The impact of digital transformation on enterprise performance: An empirical analysis based on China’s manufacturing export enterprises. Plos one, 19(3), e0299723. https://doi.org/10.1371/journal.pone.0299723
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23(2), 193-233. https://doi.org/10.1002/jae.967
  • Xu, X., & Tian, C. (2025). Does artificial intelligence improve the quality of export products? Evidence from China. Applied Economics Letters, 32(1), 9-13. https://doi.org/10.1080/13504851.2023.2244224
  • Zaman, M., & Tanewski, G. (2024). R&D investment, innovation, and export performance: An analysis of SME and large firms. Journal of Small Business Management, 62(6), 3053-3086. https://doi.org/10.1080/00472778.2023.2291363
  • Zhang, Z., & Deng, F. (2023). How can artificial intelligence boost firms’ exports? Evidence from China. Plos one, 18(8), e0283230. https://doi.org/10.1371/journal.pone.0283230

Yapay Zeka ve İhracat Performansı: OECD Ülkelerinden Görüşler

Yıl 2025, Cilt: 7 Sayı: 4, 258 - 271, 30.12.2025
https://doi.org/10.54821/uiecd.1786964

Öz

Bu çalışma, yapay zekâ (YZ) yatırımları ve araştırma geliştirme (Ar-Ge) harcamalarının ihracat performansı üzerindeki etkilerini 15 OECD ülkesi örneğinde incelemektedir. Analiz, 2013–2023 dönemine ait panel veri seti kullanılarak gerçekleştirilmiş ve Method of Moments Quantile Regression (MMQR) yöntemi uygulanmıştır. Bu yöntem, yapay zekâ ve Ar-Ge harcamalarının ihracat performansı üzerindeki etkilerinin yalnızca ortalama düzeyde değil, dağılımın farklı kantillerinde nasıl değiştiğini ortaya koymaya olanak tanımaktadır. Bulgular, yapay zekâ yatırımlarının ihracat performansı üzerindeki etkisinin doğrusal ve homojen olmadığını; ülkelerin ihracat düzeylerine bağlı olarak farklılaştığını göstermektedir. Özellikle yapay zekâ yatırımlarının kısa vadede ihracat üzerinde baskılayıcı bir etki yarattığı, buna karşılık ihracat performansındaki oynaklığı azalttığı ve istikrar sağlayıcı bir rol üstlendiği tespit edilmiştir. Ar-Ge harcamalarının etkisi ise daha çok düşük ve orta düzeyde ihracat performansına sahip ülkelerde anlamlı bulunmakta, yüksek ihracat düzeylerinde zayıflamaktadır. Elde edilen sonuçlar, yapay zekâ ve Ar-Ge politikalarının ülke ve performans düzeylerine duyarlı, bütünleşik ve farklılaştırılmış bir çerçevede tasarlanması gerektiğini ortaya koymaktadır.

Kaynakça

  • Aksoy, M., Yilmaz, M. K., Golgeci, I., Tatoglu, E., Canci, M., & Hızarcı, A. E. (2024). Untangling the influence of corporate sustainability on export intensity: The moderating role of R&D intensity. Journal of International Marketing, 32(4), 38-57. https://doi.org/10.1177/1069031X231214233
  • Battaglia, D., Neirotti, P., & Paolucci, E. (2018). The role of R&D investments and export on SMEs’ growth: A domain ambidexterity perspective. Management Decision, 56(9), 1883-1903. https://doi.org/10.1108/MD-02-2017-0136
  • Benfratello, L., Bottasso, A., & Piccardo, C. (2022). 'R&D and export performance: Exploring heterogeneity along the export intensity distribution'. Journal of Industrial and Business Economics, 49(2), 189-232. https://doi.org/10.1007/s40812-022-00209-1
  • Bojnec, Š. (2014). Research and development spending and export performance by the technological intensity of the products. Ekonomický Časopis, 62(10), 1065-1080. Available at: https://www.sav.sk/journals/uploads/0620145410%2014%20Bojnec%20+%20RS.pdf
  • Carboni, O. A., & Medda, G. (2020). Linkages between R&D, innovation, investment and export performance: Evidence from European manufacturing firms. Technology Analysis & Strategic Management, 32(12), 1379-1392. https://doi.org/10.1080/09537325.2020.1769841
  • Chen, X., Wu, Y., & Long, Y. (2025). Does artificial intelligence promote sustainable growth of exporting firms?. Sustainability, 17(16), 7273. https://doi.org/10.3390/su17167273
  • Chen, Y. A., & Dong, N. (2025). AI capabilities and export performance: The moderating role of province market development and cultural distance. International Journal of Emerging Markets, 20(12), 4907-4925. https://doi.org/10.1108/IJOEM-12-2023-2014
  • Chishty, S. K., Sayari, S., Mohamed, A. H., Mallick, M. F., Khan, N., & Inkesar, A. (2025). The utilisation of artificial intelligence in the export performance of MNCs: The role of cultural distance. Administrative Sciences, 15(5), 160. https://doi.org/10.3390/admsci15050160
  • D’Angelo, A. (2012). Innovation and export performance: A study of Italian high-tech SMEs. Journal of Management & Governance, 16(3), 393-423. https://doi.org/10.1007/s10997-010-9157-y
  • Fan, J., Liao, Y., & Yao, J. (2015). Power enhancement in high‐dimensional cross‐sectional tests. Econometrica, 83(4), 1497-1541. https://doi.org/10.3982/ECTA12749
  • Fang, Y., & Liu, W. (2025). Artificial intelligence and export green sophistication. The Journal of International Trade & Economic Development, 34(7), 1737-1760. https://doi.org/10.1080/09638199.2025.2545761
  • Goldar, B. (2013). R&D intensity and exports: A study of Indian pharmaceutical firms. Innovation and Development, 3(2), 151-167. https://doi.org/10.1080/2157930X.2013.828878
  • Gur, N., & Avşar, V. (2016). Financial system, R&D intensity and comparative advantage. The Journal of International Trade & Economic Development, 25(2), 213-239. https://doi.org/10.1080/09638199.2015.1045928
  • Han, L., Wojan, T. R., Tian, Z., & Goetz, S. J. (2024). How export performance is mediated by innovation, owner characteristics, and location. Economics Letters, 237, 111657. https://doi.org/10.1016/j.econlet.2024.111657
  • Khiewngamdee, C., & Chanaim, S. (2025). The role of institutional and innovation ecosystem in moderating the impact of green practices on export performance: Evidence from European countries. Sustainability, 17(20), 9146. https://doi.org/10.3390/su17209146
  • Kumar, S., Kumar, V., Chatterjee, S., Mariani, M., & De Massis, A. (2025). The role of artificial intelligence capabilities in enhancing export performance: A study of ambidexterity and dynamic capabilities. International Marketing Review, 42(4), 698-714. https://doi.org/10.1108/IMR-10-2024-0426
  • Kwon, H. B., Lee, J., & Brennan, I. (2025). Complex interplay of R&D, advertising and exports in USA manufacturing firms: Differential effects of capabilities. Benchmarking: An International Journal, 32(2), 459-491. https://doi.org/10.1108/BIJ-03-2023-0183
  • Lefebvre, E., Lefebvre, L. A., & Bourgault, M. (1998). R&D-related capabilities as determinants of export performance. Small Business Economics, 10(4), 365-377. https://doi.org/10.1023/A:1007960431147
  • Leung, T. Y., & Sharma, P. (2021). Differences in the impact of R&D intensity and R&D internationalization on firm performance–Mediating role of innovation performance. Journal of Business Research, 131, 81-91. https://doi.org/10.1016/j.jbusres.2021.03.060
  • Lin, C., Xiao, S., & Tang, P. (2024). Does artificial intelligence improve export technical complexity upgrade of manufacturing enterprises? Evidence from China. Sage Open, 14(3), 21582440241267126. https://doi.org/10.1177/21582440241267126
  • Liu, J., Qin, C., & Chu, X. (2025). Development of corporate artificial intelligence and the quality of export products. Finance Research Letters, 78, 107217. https://doi.org/10.1016/j.frl.2025.107217
  • Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173. https://doi.org/10.1016/j.jeconom.2019.04.009
  • Naidoo, K. (2024). R&D, exports and employment growth: Firm-level evidence using administrative data from South Africa. The Journal of International Trade & Economic Development, 33(5), 818-844. https://doi.org/10.1080/09638199.2023.2222423
  • Neethirajan, S. (2023). Artificial intelligence and sensor technologies in dairy livestock export: Charting a digital transformation. Sensors, 23(16), 7045. https://doi.org/10.3390/s23167045
  • Ou, J., Zheng, Z., Ou, X., & Zhang, N. (2024). Smart city construction, artificial intelligence development, and the quality of export products: A study based on micro-level data of Chinese enterprises. Sustainability, 16(19), 8640. https://doi.org/10.3390/su16198640
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10), 1089-1117. https://doi.org/10.1080/07474938.2014.956623
  • Rahman, M. S., Golder, U., & Ghosh, P. (2024). Corporate investment in artificial intelligence: The role of GDP, ICT exports, and patents. Journal of Economics and Management, 46, 613-636. https://doi.org/10.22367/jem.2024.46.21
  • Rauf, A., & Bao, Y. (2024). Assessing the effect of domestic and foreign R&D on export: Empirical evidence from China. International Journal of Emerging Markets, 19(11), 3828-3847. https://doi.org/10.1108/IJOEM-02-2022-0282
  • Sandu, S., & Ciocanel, B. (2014). Impact of R&D and innovation on high-tech export. Procedia Economics and Finance, 15, 80-90. https://doi.org/10.1016/S2212-5671(14)00450-X
  • Shu, C., Zhao, J., Yao, Q., & Zhou, K. Z. (2024). Green innovation and export performance in emerging market firms: A legitimacy-based view. Management and Organization Review, 20(1), 85-110. https://doi.org/10.1017/mor.2023.40
  • Sohrabpour, V., Oghazi, P., Toorajipour, R., & Nazarpour, A. (2021). Export sales forecasting using artificial intelligence. Technological Forecasting and Social Change, 163, 120480. https://doi.org/10.1016/j.techfore.2020.120480
  • Sousa, C. M., Tsinopoulos, C., Yan, J., & Benito, G. R. (2025). Finding the sweet spot: Effects of exporting on the relationship between R&D investment and NPD performance. International Marketing Review, 42(1), 35-63. https://doi.org/10.1108/IMR-02-2024-0039
  • Tinits, P., Yi, J., Fey, C. F., & Meng, S. (2025). Government R&D support’s effects on export performance via innovation: An analysis of organizational motivators as moderators. International Business Review, 34(1), 102345. https://doi.org/10.1016/j.ibusrev.2024.102345
  • Wang, F., Wong, W. K., Ortiz, G. G. R., Al Shraah, A., Mabrouk, F., Li, J., & Li, Z. (2023). Economic analysis of sustainable exports value addition through natural resource management and artificial intelligence. Resources Policy, 82, 103541. https://doi.org/10.1016/j.resourpol.2023.103541
  • Wang, Y., Wang, T., & Wang, Q. (2024). The impact of digital transformation on enterprise performance: An empirical analysis based on China’s manufacturing export enterprises. Plos one, 19(3), e0299723. https://doi.org/10.1371/journal.pone.0299723
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of Applied Econometrics, 23(2), 193-233. https://doi.org/10.1002/jae.967
  • Xu, X., & Tian, C. (2025). Does artificial intelligence improve the quality of export products? Evidence from China. Applied Economics Letters, 32(1), 9-13. https://doi.org/10.1080/13504851.2023.2244224
  • Zaman, M., & Tanewski, G. (2024). R&D investment, innovation, and export performance: An analysis of SME and large firms. Journal of Small Business Management, 62(6), 3053-3086. https://doi.org/10.1080/00472778.2023.2291363
  • Zhang, Z., & Deng, F. (2023). How can artificial intelligence boost firms’ exports? Evidence from China. Plos one, 18(8), e0283230. https://doi.org/10.1371/journal.pone.0283230
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Uluslararası İktisat (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Hafidha Lahmeri 0009-0003-3380-3213

Gönderilme Tarihi 19 Eylül 2025
Kabul Tarihi 29 Aralık 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 4

Kaynak Göster

APA Lahmeri, H. (2025). Artificial Intelligence and Export Performance: Insights from OECD Countries. International Journal of Business and Economic Studies, 7(4), 258-271. https://doi.org/10.54821/uiecd.1786964

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