Multifactor models for studying the EU countries’ international trade

Economic Annals-ХХI: Volume 175, Issue 1-2, Pages: 29-34

Citation information:
Dzyubanovska, N. (2019). Multifactor models for studying the EU countries’ international trade. Economic Annals-XXI, 175(1-2), 29-34. doi: https://doi.org/10.21003/ea.V175-05


Nataliia Dziubanovska
PhD (Economics),
Assistant Professor,
Ternopil National Economic University
11 Lvivska Str., Ternopil, 46009, Ukraine
dzyubanovska.n@gmail.com
ORCID ID: https://orcid.org/0000-0002-8441-5216

Multifactor models for studying the EU countries’ international trade

Abstract. Successful decision-making in the field of international trade is a background for further development of international trade in a balance between the economic interests of its participants. It is based on use of the latest tools for making such decisions, in particular, multifactor methods for economic processes analysis. The purpose of this study is to develop multifactor models of the international trade study by using factor, cluster and discriminant analyses to determine the quality of the model results depending on the method used. In the process of study, the following general scientific and special methods were used: system analysis to determine the directions of the international trade study; cluster analysis, factor and discriminant analysуs for the development of multifactor models of the international trade study.

Based on the results of factor analysis, 13 indicators were grouped according to their influence. With the help of cluster modelling, the EU countries were grouped according to quantitative indicators such as GDP, final consumption expenditure and gross capital formation. According to discriminant analysis, significance of the selected factors was interpreted. Consequently, such factors as exports and imports of goods and services, the population size and emigration of population have direct significant impact on the countries’ economic development, namely on GDP, final consumption expenditure and gross capital formation. Theoretical and methodological provisions are brought to the level of specific and practical proposals to form the basis of studying indicators of international trade and develop specific models for studying international trade by using multifactor modelling alternative methods.

Keywords: Multifactor Modelling; Discriminant Analysis; Clustering; International Trade; Factor Analysis

JEL Classification: С10; F14

DOI: https://doi.org/10.21003/ea.V175-05

References

  1. Salvatore, D. (2013). International Economics (11th edition). John Wiley & Sons, Inc.
    Retrieved from https://www.academia.edu/23746793/International_Economics_Eleventh_Edition_Dominick_Salvatore
  2. Bernard, A. B., Redding, S. J., & Schott, P. K. (2011). Multiproduct Firms and Trade Liberalization. The Quarterly Journal of Economics, 126(3), 1271-1318.
    doi: https://doi.org/10.1093/qje/qjr021
  3. Antràs, P., & Costinot, A. (2011). Intermediated Trade. The Quarterly Journal of Economics, 126(3), 1319-1374.
    doi: https://doi.org/10.1093/qje/qjr019
  4. Caliendo, L., & Rossi-Hansberg, E. (2012). The Impact of Trade on Organization and Productivity. The Quarterly Journal of Economics, 127(3), 1393-1467.
    doi: https://doi.org/10.1093/qje/qjs016
  5. Ludema, R. D., & Mayda, A. M. (2013). Do Terms-of-trade Effects Matter for Trade Agreements? Theory and Evidence from WTO Countries. The Quarterly Journal of Economics, 128(4), 1837-1893.
    doi: https://doi.org/10.1093/qje/qjt016
  6. Caron, J., Fally, T., & Markusen, J. R. (2014). International Trade Puzzles: A Solution Linking Production and Preferences. The Quarterly Journal of Economics, 129(3), 1501-1552.
    doi: https://doi.org/10.1093/qje/qju010
  7. Fan, H., Li, Y. A., & Yeaple, S. R. (2015). Trade Liberalization, Quality, and Export Prices. The Review of Economics and Statistics, 97(5), 1033-1051.
    doi: https://doi.org/10.1162/REST_a_00524
  8. Jonathan, E., Kortum, S., Neiman, B., & Romalis, J. (2016). Trade and the Global Recession. American Economic Review, 106(11), 3401-38.
    doi: https://doi.org/10.1257/aer.20101557
  9. Idrisov, G., Mau, V., & Bozhechkova, A. (2017). Searching for a New Growth Model. Voprosy Ekonomiki (Issues of Economics), 12, 5-23.
    doi: https://doi.org/10.32609/0042-8736-2017-12-5-23 (in Russ.)
  10. Johnson, R. C., & Noguera, G. (2017). A Portrait of Trade in Value-Added over Four Decades. Review of Economics and Statistics, 99(5), 896-911.
    doi: https://doi.org/10.1162/REST_a_00665
  11. Tintelnot, F. (2017). Global Production with Export Platforms. The Quarterly Journal of Economics, 132(1), 157-209.
    doi: https://doi.org/10.1093/qje/qjw037
  12. Rodrigo, A., Costinot, A., & Donaldson, D. (2017). Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade. American Economic Review, 107(3), 633-89.
    doi: https://doi.org/10.1257/aer.20150956
  13. Impullitti, G., & Licandro, O. (2018). Trade, Firm Selection and Innovation: The Competition Channel. The Economic Journal, 608(128), 189-229.
    doi: https://doi.org/10.1111/ecoj.12466
  14. Mutreja, P., Ravikumar, B., & Sposi, M. (2018). Capital Goods Trade, Relative Prices, and Economic Development. Review of Economic Dynamics, 27, 101-122.
    doi: https://doi.org/10.1016/j.red.2017.11.003
  15. Cristiano, A. (2019). The Creative Response and International Trade. Structural Change and Economic Dynamics, In Press, Corrected Proof.
    doi: https://doi.org/10.1016/j.strueco.2019.03.002
  16. Marchenko, I. S. (2018). International competitiveness of Ukraine in the European competitive area (Doctoral dissertation). Kharkiv.
    Retrieved from http://international-relations-tourism.karazin.ua/themes/irtb/resources/f015c8304bd07dfa6146279bf956468b.pdf (in Ukr.)
  17. Marets, O. R., & Mykhalets, K. A. (2017). Modeling foreign indicators between Ukraine and Germany. Hlobalni ta natsionalni problemy ekonomiky, 19, 576-579.
    Retrieved from http://global-national.in.ua/archive/19-2017/111.pdf (in Ukr.)
  18. Barna, M. Y. (2015). Analysis of factors of external influence on domestic trade of Ukraine and Lviv region. Rehionalna ekonomika (Regional Economy), 1(75), 48-55 (in Ukr.).
  19. Vahalík, B., & Staníčková, M. (2016). Key factors of foreign trade competitiveness: Comparison of the EU and BRICS by factor and cluster analysis. Society and Economy, 38(3), 295-317.
    Retrieved from https://akademiai.com/doi/pdf/10.1556/204.2016.38.3.1
  20. Kamaev, V. D. (Ed.). (2003). Economic theory: Textbook (10th edition). Moscow: VLADOS (in Russ.).
  21. Rodina, G. A. (Ed.). (2014). Macroeconomics: Textbook. Moscow: Yurait.
    Retrieved from https://www.biblio-online.ru/viewer/makroekonomika-380153#page/2 (in Russ.)
  22. Eurostat (2019). Database. Official web-site.
    Retrieved from https://ec.europa.eu/eurostat

Received 15.02.2019