Teknolojik Başarının Ekonomik Büyüme Üzerindeki Etkisi: Panel ARDL Yaklaşımından Kanıt

Öz

Son zamanlarda, uluslararasındaki teknolojik yenilikler, daha yüksek ekonomik büyüme oranları ve kalkınma için en güçlü araçtır. Teknolojinin yayılmasında/kabul edilmesinde daha yüksek bir başarı düzeyi, daha etkili ekonomik büyüme yaratabilir. Bu motivasyon göz önüne alındığında, çalışma, 1990 - 2020 döneminde seçilen 72 ülkede teknolojik başarıların ekonomik büyüme, brüt sermaye oluşumu, orta ve yüksek teknoloji ihracatı ve istihdam üzerindeki etkisini incelemeyi amaçlamaktadır. Verilerin analizinde Pesaran'ın kesit artırılmış Im-Pesaran-Shin (CIPS) testi ve ayrıca Hansen'in ortak değişkenli Augmented Dickey-Fuller (CADF) birim kök testleri, Pedroni eşbütünleşme testi ve ardından Pesaran ARDL modeli uygulanmıştır. ARDL modeli sonuçları, Havuzlanmış Ortalama Grup tahmincisine göre uzun vadede teknoloji başarı endeksi ile GSYİH, brüt sermaye oluşumu, orta ve yüksek teknoloji ihracatı ve istihdam anlamlılığı arasında yüzde 1 düzeyinde istatistiksel olarak anlamlı bir nedensellik ve pozitif ilişkiler ortaya koymaktadır. Sonuç olarak, teknolojik yenilikler ekonomik büyüme ve makroekonomik faktörlerle bağlantılıdır, yani daha yüksek büyüme elde etmek için teknolojiye adapte olmak ve ayrıca teknolojiye özgü ürünler üretmek ve ticaretini yapmak gerekir.

Anahtar Kelimeler

• Teknoloji Başarı Endeksi
• Ekonomik Büyüme
• Teknolojik Yenilik
• Teknolojinin Benimsenmesi
• ARDL Metodolojisi

The Impact of Technological Achievement on Economic Growth: Evidence from a Panel ARDL Approach

Öz

In recent times, technological innovations among nations are the most powerful instrument for higher economic growth rates and development. A higher level of achievement in the diffusion/adoption of technology can create more effective economic growth. Given this motivation, the study aims to examine the impact of technological achievements on economic growth, gross capital formation, medium and high-tech exports, and employment in chosen 72 countries over the period of 1990 - 2020. The unit root tests of the cross-section augmented Im-Pesaran-Shin (CIPS) test of Pesaran and also covariate Augmented Dickey-Fuller (CADF) test of Hansen, the Pedroni cointegration test, and then Pesaran ARDL model has been applied in the analysis of data. The ARDL model results reveal a statistically significant causality and positive relationships between the technology achievement index and GDP growth, gross capital formation, medium and high-tech exports, and employment significance at 1 percent level in the long run according to Pooled Mean Group (PMG) estimator. Consequently, technological innovations are linked with economic growth and macroeconomic factors, that is to say, to get higher growth needs to grow up adaptation of technology and also to produce and trade technology-specific products.

Anahtar Kelimeler

• Technology Achievement Index
• Economic Growth
• Technological Innovation
• Technology Adoption
• ARDL Methodology

Kaynakça

1. Aghion, P., Bergeaud, A., Lequien, M., & Melitz, M. J. (2018). The Impact of Exports on Innovation: Theory and Evidence. SSRN Electronic Journal, 1–33. https://doi.org/10.2139/ssrn.3171084
2. Ahmad, M., Jiang, P., Murshed, M., Shehzad, K., Akram, R., Cui, L., & Khan, Z. (2021). Modelling the dynamic linkages between eco-innovation, urbanization, economic growth and ecological footprints for G7 countries: Does financial globalization matter? Sustainable Cities and Society, 70(October 2020), 102881. https://doi.org/10.1016/j.scs.2021.102881
3. Ali, T. M. (2017). Technological Achievements and Economic Development : The Significance of Technological Achievement Gap in Selected East and South Asian Countries. STI Policy Review, 8(August), 113–156.
4. Ali, T. M., Bashir, T., & Kiani, A. K. (2015). Assessment of Technological Capabilities of OIC Countries. Science, Technology and Society, 20(1), 114–131. https://doi.org/10.1177/0971721814561394
5. Blind, K., & Jungmittag, A. (2004). Foreign Direct Investment, Imports and Innovations in the Service Industry. Review of Industrial Organization, 25(2), 205–227. https://doi.org/10.1007/s11151-004-3537-x
6. Bujari, A. A., & Venegas-Martínez, F. (2016). Technological Innovation and Economic Growth in Latin America Procesos de Innovación Tecnológica y Crecimiento Económico en América Latina. Remef - The Mexican Journal of Economics and Finance, 11(2), 77–89.
7. Cassiman, B., Golovko, E., & Martínez-Ros, E. (2010). Innovation, exports and productivity. International Journal of Industrial Organization, 28(4), 372–376. https://doi.org/10.1016/j.ijindorg.2010.03.005
8. Chien, F., Ananzeh, M., Mirza, F., Bakar, A., Vu, H. M., & Ngo, T. Q. (2021). The effects of green growth, environmental-related tax, and eco-innovation towards carbon neutrality target in the US economy. Journal of Environmental Management, 299(September), 113633. https://doi.org/10.1016/j.jenvman.2021.113633

9. De Hoyos, R. E., & Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. Stata Journal, 6(4), 482–496. https://doi.org/10.1177/1536867x0600600403
10. Fan, P. (2011). Innovation capacity and economic development: China and India. Economic Change and Restructuring, 44(1–2), 49–73. https://doi.org/10.1007/s10644-010-9088-2
11. Frankel, J. A., & Romer, D. (1999). Does trade cause growth? American Economic Review, 89(3), 379–399. https://doi.org/10.1257/aer.89.3.379
12. Fu, X. (2005). Exports, technical progress and productivity growth in a transition economy: A non-parametric approach for China. Applied Economics, 37(7), 725–739. https://doi.org/10.1080/00036840500049041
13. Gani, A. (2009). Technological Achievement, High Technology Exports and Growth. Journal of Comparative International Management, 12(2), 31.
14. Gyedu, S., Heng, T., Ntarmah, A. H., He, Y., & Frimppong, E. (2021). The impact of innovation on economic growth among G7 and BRICS countries: A GMM style panel vector autoregressive approach. Technological Forecasting and Social Change, 173(September), 121169. https://doi.org/10.1016/j.techfore.2021.121169
15. Hammar, N., and Belarbi, Y. (2021). R&D, innovation and productivity relationships: Evidence from threshold panel model. International Journal of Innovation Studies, 5(3), 113–126. https://doi.org/10.1016/j.ijis.2021.06.002
16. Hansen, B. E. (1995). Rethinking the univariate approach to unit root testing: Using covariates to increase power. Econometric Theory, 11(5), 1148–1171. https://doi.org/10.1017/S0266466600009993
17. Hashem Pesaran, M. (2007). A pair-wise approach to testing for output and growth convergence. Journal of Econometrics, 138(1), 312–355. https://doi.org/10.1016/j.jeconom.2006.05.024
18. Hashem Pesaran, M., and 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
19. Holland, D., and Pain, N. (1998). The Diffusion Of Innovations In Central And Eastern Europe: A Study Of The Determinants And Impact Of Foreign Direct Investment. National Institute of Economic and Social Research, 1–48. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.156.9930&rep=rep1&type=pdf
20. Khan, A., Chenggang, Y., Hussain, J., and Kui, Z. (2021). Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries. Renewable Energy, 171, 479–491. https://doi.org/10.1016/j.renene.2021.02.075
21. Kirchhoff, B. A., Newbert, S. L., Hasan, I., and Armington, C. (2007). The Influence of University R & D Expenditures on New Business Formations and Employment Growth. Baylor University, 979, 1000.
22. Li, G., and Wei, W. (2021). Financial development, openness, innovation, carbon emissions, and economic growth in China. Energy Economics, 97, 105194. https://doi.org/10.1016/j.eneco.2021.105194
23. Li, Y., and Solaymani, S. (2021). Energy consumption, technology innovation, and economic growth nexuses in Malaysian. Energy, 232, 121040. https://doi.org/10.1016/j.energy.2021.121040
24. Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42. https://doi.org/10.1016/0304-3932(88)90168-7
25. Maradana, R. P., Pradhan, R. P., Dash, S., Zaki, D. B., Gaurav, K., Jayakumar, M., & Sarangi, A. K. (2019). Innovation and economic growth in European Economic Area countries: The Granger causality approach. IIMB Management Review, 31(3), 268–282. https://doi.org/10.1016/j.iimb.2019.03.002
26. Palangkaraya, A. (2012). The Link between Innovation and Export: Evidence from Australia’s Small and Medium Enterprises. ERIA Discussion Paper Series.
27. Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3), 597–625. https://doi.org/10.1017/S0266466604203073
28. Pesaran, M. Hashem. (2008). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, 371–413. https://doi.org/10.1017/ccol0521633230.011
29. Pesaran, M.H. (2004). General Diagnostic tests for Cross Section dependence in Panels:Cambridge working Paper in Economics. IZA Discussion Paper, 1240.
30. Pradhan, R. P., Arvin, M. B., and Bahmani, S. (2018). Are innovation and financial development causative factors in economic growth? Evidence from a panel granger causality test. Technological Forecasting and Social Change, 132(February), 130–142. https://doi.org/10.1016/j.techfore.2018.01.024
31. Pradhan, R. P., Arvin, M. B., Nair, M., and Bennett, S. E. (2020). The dynamics among entrepreneurship, innovation, and economic growth in the Eurozone countries. Journal of Policy Modeling, 42(5), 1106–1122. https://doi.org/10.1016/j.jpolmod.2020.01.004
32. Pradhan, R. P., Arvin, M. B., Nair, M., Bennett, S. E., Bahmani, S., and Hall, J. H. (2018). Endogenous dynamics between innovation, financial markets, venture capital and economic growth: Evidence from Europe. Journal of Multinational Financial Management, 45, 15–34. https://doi.org/10.1016/j.mulfin.2018.01.002
33. Santacreu, A. M. (2015). Innovation, diffusion, and trade: Theory and measurement. Journal of Monetary Economics, 75, 1–20. https://doi.org/10.1016/j.jmoneco.2015.06.008
34. Shen, F., Liu, B., Luo, F., Wu, C., Chen, H., and Wei, W. (2021). The effect of economic growth target constraints on green technology innovation. Journal of Environmental Management, 292(April), 112765. https://doi.org/10.1016/j.jenvman.2021.112765
35. Solow, R. M. (1957). Technical Change and the Aggregate Production Function. The MIT Press, 39(3), 312–320.
36. Sultanuzzaman, M. R., Fan, H., Mohamued, E. A., Hossain, M. I., and Islam, M. A. (2019). Effects of export and technology on economic growth: Selected emerging Asian economies. In Economic Research-Ekonomska Istrazivanja, 32 (1), 2515–2531. https://doi.org/10.1080/1331677X.2019.1650656
37. Ulku, H. (2007). R&D, innovation and output: Evidence from OECD and nonOECD countries. Applied Economics, 39(3), 291–307. https://doi.org/10.1080/00036840500439002
38. Ustabaş, A., and Ersin, Ö. Ö. (2016). The Effects of R&D and High Technology Exports on Economic Growth: A Comparative Cointegration Analysis for Turkey and South Korea. International Conference on Eurasian Economies 2016, August, 44–55. https://doi.org/10.36880/c07.01475
39. Wang, K. H., Umar, M., Akram, R., and Caglar, E. (2021). Is technological innovation making world “Greener”? An evidence from changing growth story of China. Technological Forecasting and Social Change, 165(July 2020), 120516. https://doi.org/10.1016/j.techfore.2020.120516
40. Westerlund, J., and Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185–190. https://doi.org/10.1016/j.econlet.2007.03.003
41. Westerlund, J., and Hosseinkouchack, M. (2016). Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi-squared and Normal Limiting Distributions. Oxford Bulletin of Economics and Statistics, 78(3), 347–364. https://doi.org/10.1111/obes.12127
42. Wu, J., Ma, Z., and Zhuo, S. (2017). Enhancing national innovative capacity: The impact of high-tech international trade and inward foreign direct investment. International Business Review, 26(3), 502–514. https://doi.org/10.1016/j.ibusrev.2016.11.001