Scientific Journal SPATIAL ECONOMICS - Spatial Organization of Global Value Chains in the Optical and Electronic Equipment Industry

In the section	Articles
Title of the article	Spatial Organization of Global Value Chains in the Optical and Electronic Equipment Industry
Pages	108-134
Author 1	Mikhail Vyacheslavovich Shatunov Postgraduate Student St. Petersburg State University Universitetskaya Nab., 7/9, St. Petersburg, 199034, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0009-0005-2572-0594
Author 2	Natalia Anatolyevna Navrotskaya Doctor of Economics, Professor of the Department of World Economics St. Petersburg State University Universitetskaya Nab., 7/9, St. Petersburg, 199034, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-0213-6863
Abstract	The increasing complexity of global value chains, the trends of globalization and deglobalization, the desire of some developing countries for resourcing and niashoring, economic shocks and trade wars, all this leads to a reconfiguration of trade flows and has a particularly significant impact on high-tech sectors, which include the optical and electronic equipment sector. The results of this article are based on combining two approaches to the study of trade flows between countries: value-added trade and the decomposition of value added into domestic and foreign components using the input-output method and the network approach. The ADB MRIO input-output tables for 2017 and 2022 for 73 countries were used to build a global map of trade flows, and the ADB MRIO input-output tables for 2000, 2007–2022 for 63 countries were used to study the specifics of Russia’s participation in the GVCs. The result of the study was the construction of a network structure of the spatial organization of global production systems in the optical and electronic equipment industry, the definition of the characteristics and features of the network, as well as the specifics of Russia’s involvement in global value chains in this sector. The resulting network model made it possible to determine the presence of 6 clusters that form interconnections according to the «core-periphery» principle, as well as to identify the specifics of the formation and development of these clusters. The core of the model consists of three mega-level centers of the PRC, the USA and the Republic of Korea, around which three global clusters and three sub-cores have formed, controlled by the main cores, which stand out significantly from the general periphery, the centers of which are Japan, Germany and Taiwan. An analysis of the network’s dynamics over the period under study showed its following features: stability and stability, formation by industry rather than geographical basis, increased involvement in the GVCs between the cores on the one hand and large Asian economies and small European countries on the other. The analysis of the specifics of Russia’s participation in the global production system of the industry under study showed the predominance of upward links with a high content of domestic added value in exports, the presence of strong relationships with domestic enterprises, high localization of production and weak dynamics of involvement in the GVCs
Code	339.9
JEL	C45, F10, F23, O11
DOI	https://dx.doi.org/10.14530/se.2024.4.108-134
Keywords	global value chains, GVCs, network analysis, optical and electronic equipment, global product networks, value-added trade
Download	SE.2024.4.108-134.Shatunov.pdf
For citation	Shatunov M.V., Navrotskaya N.A. Spatial Organization of Global Value Chains in the Optical and Electronic Equipment Industry. Prostranstvennaya Ekonomika = Spatial Economics, 2024, vol. 20, no. 4, pp. 108–134. https://dx.doi.org/10.14530/se.2024.4.108-134 (In Russian)
References	1. Akcil A., Sun Z., Panda S. COVID-19 Disruptions to Tech-Metals Supply Are a Wake-Up Call. Nature, 2020, no. 587 (7834), pp. 365–367. https://doi.org/10.1038/d41586-020-03190-8 2. Akino S., Yamanaka N., Huang Y., Kikuchi W. Global Value Chain Governance and Power Asymmetry between Lead Firms and Suppliers: Case of Apple’s Global Value Chain and the State of Its Governance. International Journal of Business and Management, 2021, vol. 16, no. 9, pp. 58–70. https://doi.org/10.5539/ijbm.v16n9p58 3. Amador J., Cabral S. Networks of Value-Added Trade. The World Economy, 2017, vol. 40, issue 7, pp. 1291–1313. https://doi.org/10.1111/twec.12469 4. Backer K.D., Miroudot S. Mapping Global Value Chains. European Central Bank. Working Paper No. 1677, 2013, 42 p. https://doi.org/10.2139/ssrn.2436411 5. Baldwin R.E., Evenett S.J. Value Creation and Trade in 21st Century Manufacturing: What Policies for UK Manufacturing? Journal of Regional Science, 2015, vol. 55, issue 1, pp. 31–50. https://doi.org/10.1111/jors.12175 6. Borin A., Mancini M. Measuring what Matters in Global Value Chains and Value-Added Trade. World Bank. Policy Research Working Paper No. 8804, 2019, 64 p. https://doi.org/10.1596/1813-9450-8804 7. Brenton P., Ferrantino M., Maliszewska M. Reshaping Global Value Chains in Light of COVID-19: Implications for Trade and Poverty Reduction in Developing Countries. World Bank, 2022, 144 p. https://doi.org/10.1596/978-1-4648-1821-9 8. Contreras M.G.A., Fagiolo G. Propagation of Economic Shocks in Input-Output Networks: A Cross-Country Analysis. Physical Review E, 2014, vol. 90, issue 6. https://doi.org/10.1103/physreve.90.062812 9. De Benedictis L., Nenci S., Santoni G., Tajoli L., Vicarelli C. Network Analysis of World Trade Using the BACI-CEPII Dataset. Global Economy Journal, 2014, vol. 14, issue 3–4, pp. 287–343. https://doi.org/10.1515/gej-2014-0032 10. De Benedictis L., Tajoli L. The World Trade Network. The World Economy, 2011, vol. 34, issue 8, pp. 1417–1454. https://doi.org/10.1111/j.1467-9701.2011.01360.x 11. Ernst D., Kim L. Global Production Networks, Knowledge Diffusion, and Local Capability Formation. Research Policy, 2002, vol. 31, issue 8, pp. 1417–1429. https://doi.org/10.2139/ssrn.2742956 12. Fagiolo G., Reyes J., Schiavo S. The Evolution of the World Trade Web: A Weighted-NetWork Analysis. Journal of Evolutionary Economics, 2010, vol. 20, pp. 479–514. https://doi.org/10.1007/s00191-009-0160-x 13. Gao Y., Zhang T., Ye J., Meng B. The Impact of COVID-19 Pandemic on Global Value Chains: Considering Firm Ownership and Digital Gap. WTO GVC Report Background Paper, 2022. https://doi.org/10.18356/9789210019316c006 14. Gereffi G. International Trade аnd Industrial Upgrading in the Apparel Commodity Chain. Journal of International Economics, 1999, vol. 48, issue 1, pp. 37–70. https://doi.org/10.1016/S0022-1996(98)00075-0 15. Gereffi G., Kaplinsky R. The Value of Value Chains: Spreading the Gains from Globalization. IDS Bullutin, 2001, vol. 32, no. 3, pp. 28–35. 16. Global Value Chain Development Report 2019: Technological Innovation, Supply Chain Trade, and Workers in a Globalized World. WTO, 2019, 184 p. Available at: https://www.worldbank.org/en/topic/trade/publication/global-value-chaindevelopment-report-2019/ (accessed October 2024). 17. Global Value Chain Development Report 2023: Resilient and Sustainable GVCs in Turbulent Times. WTO, 2023, 326 p. Available at: https://www.wto.org/english/res_e/publications_e/gvc_dev_rep23_e.htm (accessed October 2024). 18. Guide to Measuring Global Production. The UN. 2016, 194 p. Available at: https://unstats.un.org/unsd/nationalaccount/docs/Guide_to_Measuring_Global_Production_RU.pdf (accessed September 2024). (In Russian). 19. Hidalgo C.A., Hausmann R. The Building Blocks of Economic Complexity. Proceedings of the National Academy of Sciences, 2009, vol. 106, no. 26, pp. 10570–10575. https://doi.org/10.1073/pnas.0900943106 20. Huang H., Zhao J., Liu H., Ren S., Liu M., Liu H., An F., Guo Y., An H. Research on the Crisis Propagation in the Global Coal Trade Under the Russia-Ukraine Conflict. Scientific Reports, 2023, vol. 13. 15954. https://doi.org/10.1038/s41598-023-42643-8 21. Industrial Policy in the Eurasian Economic Union: Three Years of Integration. The Eurasian Economic Union. Moscow, 2018, 120 p. Available at: http://www.eurasiancommission.org/ru/Documents/Промышленная%20политика%20в%20ЕАЭС-3%20года%20интеграции-русс_.pdf (accessed October 2024). (In Russian). 22. Johnson R.C., Noguera G. Accounting for Intermediates: Production Sharing and Trade in Value Added. Journal of International Economics, 2012, vol. 86, issue 2, pp. 224–236. https://doi.org/10.1016/j.jinteco.2011.10.003 23. Koopman R., Wang Z., Wei S.-J. Give Credit Where Credit Is Due: Tracing Value Added in Global Production Chains. NBER. Working Paper No. 16426, 2010, 19 p. https://doi.org/10.3386/w16426 24. Koopman R., Wang Z., Wei S.J. Tracing Value-Added and Double Counting in Gross Exports. American Economic Review, 2014, vol. 104, no. 2, pp. 459–494. https://doi.org/10.2139/ssrn.1949669 25. Lola I.S., Bakeev M.B. Digital Transformation in the Manufacturing Industries of Russia: An Analysis of the Business Tendencies Observations Results. Vestnik Sankt-Peterburgskogo Universiteta. Ekonomika = St. Petersburg University Journal of Economic Studies, 2019, vol. 35, no. 4, pp. 628–657. https://doi.org/10.21638/spbu05.2019.407 (In Russian). 26. Meng B., Ye M., Wei S.-J. Measuring Smile Curves in Global Value Chains // Oxford Bulletin of Economics and Statistics, 2020, vol. 82, issue 5, pp. 988–1016. https://doi.org/10.1111/obes.12364 27. Multinational Enterprises and the International Transmission of Gender Policies and Practices. UNCTAD, 2021, 70 p. Available at: https://unctad.org/system/files/official-document/diaeinf2021d1_en.pdf (accessed October 2014). 28. Navrozkaia N.A., Sopilko N.Y. Bogomaz E.V. Management Potential of an International Trade Network Based on Cointegration Analysis. Vision 2025: Education Excellence and Management of Innovations through Sustainable Economic Competitive Advantage. Edited by K.S. Soliman; IBIMA, 2019, pp. 4440–4447. Available at: https://wtochairs.org/sites/default/files/Navrotskaia_Bogomaz_Sop..pdf (accessed September 2024). 29. New Technological Revolution: Challenges and Opportunities for Russia. Edited by V.N. Knyaaginin. Center for Strategic Research. 2017, 134 p. Available at: https://www.csr.ru/uploads/2017/10/novaya-tehnologicheskaya-revolutsiya-2017-10-13.pdf (accessed October 2024). (In Russian). 30. OECD Digital Economy Outlook 2017. Paris: OECD Publishing, 2017, 324 p. https://doi.org/10.1787/9789264276284-en 31. Pan A., Xiao T., Dai L. The Structural Change and Influencing Factors of Carbon Transfer Network in Global Value Chains. Journal of Environmental Management, 2022, vol. 318. 115558. https://doi.org/10.1016/j.jenvman.2022.115558 32. Piccardi C., Tajoli L. Existence and Significance of Communities in the World Trade Web. Physical Review E, 2012, vol. 85, issue 6. https://doi.org/10.1103/physreve.85.066119 33. Porter M. The Competitive Advantage. New York: The Free Press, 1985, 580 p. 34. Sohn J. Park S. The Single Allocation Problem in the Interacting Three-Hub Network. NetWorks, 2000, vol. 35, pp. 17–25. 35. Todeva E., Rakhmatullin R. Global Value Chains Mapping: Methodology and Cases for Policy Makers. European Union, 2016, 70 p. https://doi.org/10.2791/273290 36. Tsekeris T. Network Analysis of Inter-Sectoral Relationships and Key Sectors in the Greek Economy. Journal of Economic Interaction and Coordination, 2017, vol. 12, pp. 413–435. https://doi.org/10.1007/s11403-015-0171-7 37. Varela L.M., Rotundo G., Ausloos M., Carrete J. Complex Networks Analysis in Socioeconomic Models. Complexity and Geographical Economics. Edited by P. Commendatore, S.S. Kayam, I. Kubin. Cham: Springer, 2015, pp. 209–245. https://doi.org/10.1007/978-3-319-12805-4_9 38. Wang Z., Wei S.-J., Yu X., Zhu K. Measures of Participation in Global Value Chains and Global Business Cycles. NBER. Working Paper No. 23222, 2017, 34 p. https://doi.org/10.3386/w23222 39. Wu G., Pu Y., Shu T. Features and Evolution of Global Energy Trade Network Based on Domestic Value-Added Decomposition of Export. Energy, 2021, vol. 228. 120486. https://doi.org/10.1016/j.energy.2021.120486
Financing
Submitted	01.09.2024
Approved after reviewing	15.10.2024
Accepted for publication	29.11.2024
Available online	28.12.2024