Contents |
Authors:
Lamiya Huseynova, ORCID: https://orcid.org/0000-0003-4633-6493 Ph.D., Azerbaijan State University of Economics (UNEC), Republic of Azerbaijan Adil Huseynov, ORCID: https://orcid.org/0000-0002-0657-8511 Ph.D., Associate Professor, Azerbaijan State University of Economics (UNEC), Republic of Azerbaijan
Pages: 87-98
Language: English
DOI: https://doi.org/10.21272/mmi.2023.1-08
Received: 02.09.2022
Accepted: 20.03.2023
Published: 31.03.2023
Download: |
Views: |
Downloads: |
|
|
|
Abstract
The activities of companies in the foreign market that offer their products and services face several unique challenges, domestic and international, global competition, and additional requirements at several levels. Therefore, developing best practices and considering the evolution of trading processes, strategies, regulations, and technological innovations are mandatory for continuity and prosperity in the international market. The article carries out a bibliometric analysis of publications by keywords «international trade» and «innovations» in the system of international commodity-monetary relations in the conditions of innovative processes and prospects of international exchange of scientific and technical knowledge and technologies. The article aims to investigate the functional link between international trade and the level of the country’s innovative development and confirm the hypothesis about the significance of this link. The following methodological tools were used in the article: Canonical Correlation Analysis and Multivariate Panel Data Regression Model. Forty-four European and Asian countries are investigated. The period of the investigation is from 2006 to 2021. The array of input variables includes a set of indicators, six of which characterize the innovative development of the studied countries; five indicators represent international trade; and three indicators control and describe the socio-economic development of nations. The revealed correlation-regression dependences generally provide a basis for confirming the hypothesis of a direct relationship between the country’s innovative development level and its positioning in the field of international trade. The obtained results proved the presence of a direct statistically significant relationship between High technology exports, Import and Current account balance; Innovation index and External balance on goods and services. An inverse functional dependence was found between the indicator Patent applications by residents and the Current account balance. In the future, it is necessary to adapt the proposed methodology to develop a functional basis for the analysis of the impact of innovations on the ecosystem of specific enterprises; to consider the national aspects of conducting business, and the state policy implication of supporting the digitization of crucial stages of production.
Keywords: innovations, international trade, management of international trade, innovative development, Canonical Analysis, panel regression.
JEL Classification: L91, R40.
Cite as: Huseynova, L., & Huseynov, A (2023). Management of International Trade in the Context of Ensuring Innovative Development Marketing and Management of Innovations, 1, 87-98. https://doi.org/10.21272/mmi.2023.1-08
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Amaral, A., Morgan, M. G., Mendonça, J., & Fuchs, E. R. (2023). National core competencies and dynamic capabilities in times of crisis: Adaptive regulation of new entrants in advanced technology markets. Research Policy, 52(4), 104715. [Google Scholar] [CrossRef]
- Ben Hassine, H., & Mathieu, C. (2021). Price and quality competitiveness across OECD countries: An approach to quality by R&D expenditure. The World Economy, 44(8), 2344-2382. [Google Scholar] [CrossRef]
- Chen, S., Akimoto, K., Sun, Y., Kagatsume, M., & Wang, N. (2021). The sustainability of regional decarbonization through the global value chain analytical framework: A case study of Germany. Journal of Cleaner Production, 317, 128335. [Google Scholar] [CrossRef]
- Chen, J., Zhao, D., Hassan, T., & Zhao, Y. (2022). Do import technology spillovers impact eco-efficiency in manufacturing industries: A spillover decomposition analysis. The Singapore Economic Review. [Google Scholar] [CrossRef]
- Choi, B. (2023). The Impact of Financial Development on Innovation-Based Exports: Do All Firms Benefit Equally?. The Quarterly Review of Economics and Finance. [Google Scholar] [CrossRef]
- De Rassenfosse, G., Grazzi, M., Moschella, D., & Pellegrino, G. (2022). International patent protection and trade: Transaction-level evidence. European Economic Review, 147, 104160. [Google Scholar] [CrossRef]
- Huang, T. (2022). Trade protection and firm innovation in China. International Journal of Emerging Markets. [Google Scholar] [CrossRef]
- Ito, K., Ikeuchi, K., Criscuolo, C., Timmis, J., & Bergeaud, A. (2019). Global value chains and domestic innovation. In RIETI Discussion Paper 19-E-028, April. Research Institute of Economy, Trade and Industry. Tokyo. [Google Scholar]
- Klevenhusen, A., Coelho, J., Warszawski, L., Moreira, J., Wanke, P., & Ferreira, J. J. (2021). Innovation efficiency in OECD countries: A non-parametric approach. Journal of the Knowledge Economy, 12, 1064-1078. [Google Scholar] [CrossRef]
- Kolenikov, S. (2001) Applied econometric analysis in the statistical package Stata. School of Economics. 46 p.
- Ma, Q., Han, X., Badeeb, R. A., & Khan, Z. (2022). On the sustainable trade development: Do Financial inclusion and eco‐innovation matter? Evidence from method of moments quantile regression. Sustainable Development, 30(5), 1044-1055. [Google Scholar] [CrossRef]
- Meng, Y., Wu, H., Wang, Y., & Duan, Y. (2022). International trade diversification, green innovation, and consumption-based carbon emissions: The role of renewable energy for sustainable development in BRICST countries. Renewable Energy, 198, 1243-1253. [Google Scholar] [CrossRef]
- Polanec, S., Smith, P. A., & Bavdaž, M. (2021). Determination of the Threshold in Cutoff Sampling Using Response Burden with an Application to Intrastat. Journal of Official Statistics, 38(4), 1205-1234. [Google Scholar]
- Schram, A., & Townsend, B. (2021). International trade and investment and food systems: what we know, what we don’t know, and what we don’t know we don’t know. International Journal of Health Policy and Management, 10(12), 886. [Google Scholar] [CrossRef]
- Schwab, K. (2015). The Fourth Industrial Revolution. What It Means and How to Respond. Retrieved from [Link]
- Shadikhodjaev, S. (2021). Technological neutrality and regulation of digital trade: how far can we go?. European Journal of International Law, 32(4), 1221-1247. [Google Scholar] [CrossRef]
- Siddik, M. N. A., Kabiraj, S., Hosen, M. E., & Miah, M. F. (2021). Blockchain technology and facilitation of international trade: An empirical analysis. FIIB Business Review, 10(3), 232-241. [Google Scholar] [CrossRef]
- Silva, P. M., Moutinho, V. F., & Teixeira Vale, V. (2022). A new approach of innovation and network on export in trade fair context: evidence from Portuguese SMEs. Journal of Business & Industrial Marketing, 37(3), 509-528. [Google Scholar] [CrossRef]
- Statista (n.d.). The Statistics Portal. Retrived from [Link]
- Tandra, M., & Suroso, J. S. (2022). Designing a new cryptocurrency with hard fork and stablecoin approach as a disruptive innovation in payment system of international trade. Journal of Theoretical and Applied Information Technology, 100(19), 5724-5760.
- Wang, C., Liu, T., Wen, D., Li, D., Vladislav, G., & Zhu, Y. (2021). The impact of international electronic commerce on export trade: Evidence from China. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 2579-2593. [Google Scholar] [CrossRef]
- World Bank. World Development Indicators. Retrieved from [Link]
- Wu, D., Wu, L., & Ye, Y. (2022). Industrial structure optimization, economic development factors and regional economic risk prevention in post COVID-19 period: empirical analysis based on panel data of Guangdong regional economy. Journal of Combinatorial Optimization, 44(5), 3735-3777. [Google Scholar] [CrossRef]
- Ye, Y., Xu, S., Mariani, M. S., & Lü, L. (2022). Forecasting countries’ gross domestic product from patent data. Chaos, Solitons & Fractals, 160, 112234. [Google Scholar] [CrossRef]
- Zhou, L., Xiao, W., & Yan, N. (2023). International comparative research on the relevance of science and technology and the innovation ability of the rare earth industry-from the perspective of technology-industry mapping based on patent information. Resources Policy, 80, 103257. [Google Scholar] [CrossRef].
|