New patterns in the position of CEE countries in global value chains: functional specialisation approach

Abstract

Research background: High servitisation of manufacturing makes it impossible to separate services from manufactured goods properly, which implies difficulties in the assessment of the position of the country on the smile curve, i.e. in the proper assignment of products or services to one of the industrial process steps: pre-production, pure fabrication or post-production services. Therefore, we propose to use the business functions of industries identified with the aid of labour market data rather than the industrial classification of products in order to create a more appropriate measure of the position of countries in GVCs.

Purpose of the article: We aim to identify and analyse the patterns of functional specialisation for eight Central and Eastern European Countries (CEECs) ? the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia and Slovenia ? both at the country and industry level. In addition, we analyse functional specialisation patterns for Germany, which serves as a reference country.

Methods: To assess functional specialisation patterns, we employ the methodology proposed by Timmer et al. (2019a). It allows us to obtain functional specialisation indices for four different business functions ? management, R&D, marketing, and fabrication. To compute them, we combine two sources of data ? domestic value added from decomposed sectoral input-output tables (the World Input Output  Database) and the Occupations Database built up by Timmer et al. (2019a).

Findings & value added: Our research shows a very heterogeneous pattern in CEEC countries' position in GVCs by taking into account their functional specialisation at the countries and industries levels. Poland and Slovakia focus primarily on low value-added fabrication processes, the Baltic countries and Slovenia specialise in management services, Hungary and Latvia gain in marketing services, and the Czech Republic and Slovenia win in R&D activities. We indicate that some CEE countries (Poland, Slovakia) could be stuck in a functional trap, and our approach could be a valuable tool for assessing the process of coming out of it.

Keywords

functional specialisation, gross export decomposition, occupations, economic upgrading, CEE countries

References

1. Antr?s, P., Chor, D., Fally, T., & Hillberry, R. (2012). Measuring the upstreamness of production and trade flows. American Economic Review, 102(3), 412?416. doi: 10.1257/aer.102.3.412. DOI: https://doi.org/10.1257/aer.102.3.412
   View in Google Scholar
2. Balassa, B. (1965). Trade liberalisation and ?revealed? comparative advantage. Manchester School of Economic and Social, 33, 99?123. DOI: https://doi.org/10.1111/j.1467-9957.1965.tb00050.x
   View in Google Scholar
3. Blažek, J. (2016). Towards a typology of repositioning strategies of GVC/GPN suppliers: the case of functional upgrading and downgrading. Journal of Economic Geography, 16(4), 849?869. doi: doi.org/10.1093/jeg/lbv044. DOI: https://doi.org/10.1093/jeg/lbv044
   View in Google Scholar
4. Buckley, P. J., Strange, R., Timmer, M. P., & de Vries, G. (2020). Catching-up in the global factory: analysis and policy implications. Journal of International Business Policy, 3, 79?106. doi: 10.1057/s42214-020-00047-9. DOI: https://doi.org/10.1057/s42214-020-00047-9
   View in Google Scholar
5. Cattaneo, O., Gereffi, G., Miroudot, S., & Aglioni, D. (2013). Joining, upgrading and being competitive in global value hcains: a strategic framework. World Bank Policy Research Paper, 6406, 1?52. DOI: https://doi.org/10.1596/1813-9450-6406
   View in Google Scholar
6. Chen, B. (2017). Upstreamness, exports, and wage inequality: evidence from Chinese manufacturing data. Journal of Asian Economics, 48, 66?74. doi: 0.1016/j. asieco.2016.11.003. DOI: https://doi.org/10.1016/j.asieco.2016.11.003
   View in Google Scholar
7. Chen, Q., Gao, Y., Pei, J., de Vries, G., & Wang, F. (2018). Formerly assembled, but now designed in China? Assessing the domestic value-added of activities in gross exports. GGDC Research Memorandum, 1?41(180).
   View in Google Scholar
8. Cieślik, A., Michałek, J., & Szczygielski, K. (2019). What matters for firms? Participation in Global Value Chains in Central and East European countries? Equilibrium. Quarterly Journal of Economics and Economic Policy, 14(3), 481?502. doi: 10.24136/eq.2019.023. DOI: https://doi.org/10.24136/eq.2019.023
   View in Google Scholar
9. de Backer, K., & Miroudot, S. (2014). Mapping global value chains. ECB Working Paper Series, 1677. doi: 10.1787/5k3v1trgnbr4-en. DOI: https://doi.org/10.2139/ssrn.2436411
   View in Google Scholar
10. de Vries, G., Jiang, A., Lemmers, O., & Wei, S. J. (2020). Firm productivity and functional specialisation. World Economy. Advance online publication. doi: 10.1111/twec.13055. DOI: https://doi.org/10.1111/twec.13055
    View in Google Scholar
11. Degain, C., Meng, B., & Wang, Z. (2017). Recent trends in global trade and global value chains. In Global value chain development report 2017: measuring and analyzing the impact of GVCs on economic development. WTO.
    View in Google Scholar
12. EC (2014) High-level group on business services. Retrieved from http://ec.europa.eu/DocsRoom/documents/4981/attachments/1/translations.
    View in Google Scholar
13. Fally, T. (2011). On the fragmentation of production in the US. University of Colorado-Boulder, mimeo. University of Colorado-Boulder.
    View in Google Scholar
14. Fontagné, L., & Harrison, A. (2017). The factory-free economy: outsourcing, servitization and the future of industry. NBER Working Papers, 23016, 1?34. doi: 10.3386/w23016. DOI: https://doi.org/10.1093/acprof:oso/9780198779162.003.0001
    View in Google Scholar
15. Gereffi, G. (2019). Economic upgrading in global value chains. In S. Ponte, G. Gereffi, & G. Raj-Reichert (Eds.). Handbook on global value chains. Edward Elgar Publishing, 240?254. DOI: https://doi.org/10.4337/9781788113779.00022
    View in Google Scholar
16. Javorcik, B. (2020). Global supply chains will not be the same in the post-COVID-19 world. In R. Baldwin & S. J. Evenett (Eds.). COVID-19 and trade policy: Why turning inward won?t work. Washington: CEPR Press, 111?116.
    View in Google Scholar
17. Krugman, P. R. (1980). Scale economies, product differentiation, and the pattern of trade. American Economic Review, 70(5), 950?959.
    View in Google Scholar
18. Krugman, P. R. (1991). Increasing returns and economic geography. Journal of Political Economy, 99, 483?499. doi: 10.3386/w3275. DOI: https://doi.org/10.1086/261763
    View in Google Scholar
19. Kr?minas, P., Rybakovas, E., & Paliokait?, A. (2019). Global value chains and middle-income trap: skills, innovation, and integration in Central and Eastern Europe. Retrieved from https://www.visionary.lt/wp-content/uploads/2020/03/ Global-value-chains-and-middle-income-trap-skills-innovation-and-integration-in-CEE.pdf.
    View in Google Scholar
20. Meng, B., & Wei, S. J. (2020). Measuring smile curves in global value chains. Oxford Bulletin of Economics and Statistics, 82(5), 988?1016. doi: 10.1111/ obes.12364. DOI: https://doi.org/10.1111/obes.12364
    View in Google Scholar
21. OECD (2020). COVID-19 and global value chains: policy options to build more resilient production networks. OECD Policy Responses, 1?11. Retrieved from http://www.oecd.org/coronavirus/policy-responses/covid-19-and-global-value-chains-policy-options-to-build-more-resilient-production-networks-04934ef4/.
    View in Google Scholar
22. OECD (2018). Multinational enterprises in the global economy: heavily debated but hardly measured. Paris: OECD. Retrieved from https://www.oecd.org/in dustry/ind/MNEs-in-the-global-economy-policy-note.pdf.
    View in Google Scholar
23. Ohlin, B. (1967). Interregional and international trade. Cambridge: Harvard University Press.
    View in Google Scholar
24. Ricardo, D. (1817). On the principles of political economy and taxation. London: John Murray.
    View in Google Scholar
25. Shih, S. (1996). Me-too is not my style: challenge difficulties, break through bottlenecks, create value. Taipei: The Acer Foundation. Retrieved from http://211.79.206.2/ocp/skin/ajax/ACER_SCH_000_W_FIT/ebook.php?bookNo=180116053827497.
    View in Google Scholar
26. Stöllinger, R. (2018). Smile curves economics vs comparative advantages: does functional specialisation matter for economic growth. Retrieved from https://www.etsg.org/ETSG2018/papers/211.pdf.
    View in Google Scholar
27. Stöllinger, R. (2019). Testing the smile curve: functional specialisation in GVCs and value creation. WIIW Working Papers, 163, 1?45.
    View in Google Scholar
28. Stöllinger, R. (2021). Testing the smile curve: functional specialisation and value creation in GVCs. Structural Change and Economic Dynamics, 56, 93?116. doi: 10.1016/j.strueco.2020.10.002. DOI: https://doi.org/10.1016/j.strueco.2020.10.002
    View in Google Scholar
29. Taglioni, D., & Winkler, D. (2016). Making global value chains work for development. Washington: World Bank Group. DOI: https://doi.org/10.1596/978-1-4648-0157-0_fm
    View in Google Scholar
30. Timmer, M., Stehrer, R., & de Vries, G. (2014). Functional specialization in international trade. ETSG Conference Paper. Retrieved from https://www.etsg.org/E TSG2014/Papers/255.pdf.
    View in Google Scholar
31. Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., & de Vries, G. J. (2015). An illustrated user guide to the world input?output database: the case of global automotive production. Review of International Economics, 23(3), 575?605. doi: 10.1111/roie.12178. DOI: https://doi.org/10.1111/roie.12178
    View in Google Scholar
32. Timmer, M., Miroudot, S., & De Vries, G. (2019a). Functional specialisation in trade. Journal of Economic Geography, 19(1), 1?30. doi: 10.1093/jeg/lby056.
    View in Google Scholar
33. Timmer, M., Miroudot, S., & De Vries, G. (2019b). Functional specialisation in trade [dataset /supplementary data]. Journal of Economic Geography, 19(1), 1?30. doi: 10.1093/jeg/lby056. DOI: https://doi.org/10.1093/jeg/lby056
    View in Google Scholar
34. Wang, Z., Wei, S. J., Yu, X., & Zhu, K. (2017). Characterizing global value chains: production length and upstreamness. NBER Working Paper, 23261. DOI: https://doi.org/10.3386/w23261
    View in Google Scholar