ECRIN
ERI FEB RAS
2025-5
Issue's contents
russian version
RUS
previous article Regionalistica 2025 Volume 12 number 5 pages 5-26 next article

 

Title of the article Evolution of Interregional Economic Interactions in the European Union: Constants and Variables
Pages 5-26
Author

Dzhurka Natalya GennadievnaDzhurka Natalya Gennadievna
candidate of sciences (economics), senior research fellow
Economic Research Institute FEB RAS
153, Tikhookeanskaya Street, Khabarovsk, Russia, 680042
Institute of Economics RAS
32, Nakhimovsky Prospect, Moscow, Russia, 117218
This email address is being protected from spambots. You need JavaScript enabled to view it.
ORCID: 0000-0001-9242-5636

Abstract The paper provides empirical evidence that structures of interregional economic interactions formed on the principle of functional hierarchies can reproduce one level of system-wide effects over a long period of time. To search for such evidence, the multiregional social accounting matrices of the European Union for 2000–2017 are analyzed. Based on them, for spatial markets of different hierarchical levels, the dynamics of the system-wide effects and the degree of complexity of interregional economic interactions are assessed. The system-wide effects are measured by the average levels of spatial multipliers, and the complexity of interactions – by the average propagation lengths. The results of calculations show that structural transformations of interregional economic interactions can occur without any visible change in system-wide effects (average value of spatial multipliers during the period under review (2,5 euro / euro), as well as the distribution of regions according to levels of functional hierarchy in the European Union remained almost unchanged, while the complexity of spatial interactions decreased by 15,4% over an eighteen-year period). It is concluded that in multiregional systems (at least those organized according to the principle of functional hierarchies) there are feedback mechanisms that neutralize the results of individual changes and allow to talk about system-wide effects measured using the average values of spatial multipliers as spatial quasi-constants.
Code 332.1+339.9+330.44
DOI 10.14530/reg.2025.5.5
Keywords interregional economic interactions, functional hierarchy, system effect, complexity of interactions, spatial multiplier, average propagation length, European Union, NUTS-2 regions
Download 2025-05.5.pdf
For citation Dzhurka N.G. Evolution of Interregional Economic Interactions in the European Union: Constants and Variables. Regionalistica [Regionalistics]. 2025. Vol. 12. No. 5. Pp. 5–26. http://dx.doi.org/10.14530/reg.2025.5.5 (In Russian)
References 1. Butorina O.V., Borko Yu.A. Benefits of Regional Integration: Towards Redefining the Concept. Sovremennaya Evropa = Contemporary Europe. 2022. No. 1. Pp. 5–20. http://dx.doi.org/10.31857/S0201708322010016 (In Russian)
2. Bufetova A.N. Trends for the Concentration of Economic Activity and Uneven Spatial Development of Russia. Region: economika i sotsiologiya [Region: Economics and Sociology]. 2016. No. 2. Pp. 23–41. http://dx.doi.org/10.15372/REG20160202 (In Russian)
3. Dzhurka N.G. Spatial Economic Interactions: Structures and Generated Effects. Ed. by P.A. Minakir. Khabarovsk, 2024. 272 p. (In Russian)
4. Dzhurka N.G. Structure of Interregional Economic Interactions As a Factor in the Formation of System Effects in National Economies. Prostranstvennaya ekonomika = Spatial Economics. 2025. No. 2. Pp. 7–51. http://dx.doi.org/10.14530/se.2025.2.007-051 (In Russian)
5. Zakharchenko N.G., Dyomina O.V. The Role of the Energy Sector in Regional Economy: Estimating Multiplicative Effects. Prostranstvennaya ekonomika = Spatial Economics. 2013. No. 1. Pp. 33–54. http://dx.doi.org/10.14530/se.2013.1.033-054 (In Russian)
6. Kondratieva N.B. The European Model of Market Integration: Shaping and Perspective. Moscow, 2020. 384 p. (In Russian)
7. Kotov A.V. Strategic Spatial Development in the European Union. Moscow, 2024. 424 p. (In Russian)
8. Regional Policy of EU Countries. Ed. by A.V. Kuznetsov. Moscow, 2009. 230 p. (In Russian)
9. Regional Policy: Foreign Experience and Russian Realities. Ed. by A.V. Kuznetsov, O.V. Kuznetsova. Moscow, 2015. 137 p. (In Russian)
10. Suslov V.I., Ibragimov N.М., Melnikova L.V. Coalition Analysis and Effects of Regional Integration. Ekonomika regiona = Economy of Regions. 2018. No. 4. Pp. 1131–1144. http://dx.doi.org/10.17059/2018-4-6 (In Russian)
11. Suspitsyn S.A. Gradients in the Evolution of Russia’s Multiregional System. Region: ekonomika i sotsiologiya [Region: Economics and Sociology]. 2024. No. 2. Pp. 3–26. http://dx.doi.org/10.15372/REG20240201 (In Russian)
12. Akita T. Interregional Interdependence and Regional Economic Growth in Japan: An Input-Output Analysis. International Regional Science Review. 1994. Vol. 16. No. 3. Pp. 231–248. https://doi.org/10.1177/016001769401600301
13. Akita T., Kataoka M. Interregional Interdependence and Regional Economic Growth: An Interregional Input-Output Analysis of the Kyushu Region. Review of Urban and Regional Development Studies. 2002. Vol. 14. No. 1. Pp. 18–40. https://doi.org/10.1111/1467-940X.00046
14. Almazen-Gomez M.A., Llano C., Perez J., Mandras G. The European Regions in the Global Value Chains: New Results with New Data. Papers in Regional Science. 2023. Vol. 102. No. 6. Pp. 1097–1126. https://doi.org/10.1111/pirs.12760
15. Almazen-Gomez M.A., Llano C., Perez J., Rauhut D. Socioeconomic Impacts of Russian Invasion of Ukraine: A Multiregional Assessment for Europe. Journal of Regional Science. 2023. Vol. 64. No. 2. Pp. 333–354. https://doi.org/10.1111/jors.12676
16. Barbero J., Mandras G., Rodriguez-Crespo E., Rodriguez-Pose A. Quality of Government and Regional Trade: Evidence from European Union Regions. Regional Studies. 2021. Vol. 55. No. 7. Pp. 1240–1251. https://doi.org/10.1080/00343404.2021.1873934
17. Bolea L., Duarte R., Hewings G.J.D., Jimenez S., Sanchez-Choliz J. The Role of Regions in Global Value Chains: An Analysis for the European Union. Papers in Regional Science. 2021. Vol. 101. No. 4. Pp. 771–794. https://doi.org/10.1111/pirs.12674
18. Capello R., Calagliu A. Regional Growth and Disparities in a Post-COVID Europe: A New Normality Scenario. Journal of Regional Science. 2021. Vol. 61. No. 4. Pp. 710–727. https://doi.org/10.1111/jors.12542
19. Carrascal-Incera A., Hewings G.J.D. Income Interdependence in UK Multi-Regional Economy: A Meso-Level Analysis. International Regional Science Review. 2022. Vol. 47. No. 5–6. Pp. 591–621. https://doi.org/10.1177/01600176221125700
20. Chen W., Los B., McCann P., Ortega-Argiles R., Thissen M., van Oort F. The Continental Divide? Economic Exposure to Brexit in Regions and Countries on both Sides of The Channel. Papers in Regional Science. 2017. Vol. 97. No. 1. Pp. 25–54. https://doi.org/10.1111/pirs.12334
21. Daly G., Rojano S.I., Lopez N.G., Llano C., Perez-Balsalobre S., Echeverria X.V. Unveiling the Interregional Trade Flows Between Spain, France and Portugal. Available at: https://archive.espon.eu/sites/default/files/attachments/IRIE%20working%20paper%20on%20trade%20flows.pdf (accessed September 2025).
22. Defourny J., Thorbecke E. Structural Path Analysis and Multiplier Decomposition Within a Social Accounting Matrix Framework. The Economic Journal. 1984. Vol. 94. No. 373. Pp. 111–136. https://doi.org/10.2307/2232220
23. Dietzenbacher E., Romero I. Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths. International Regional Science Review. 2007. Vol. 30. No. 4. Pp. 362–383. https://doi.org/10.1177/0160017607305366
24. Dietzenbacher E., Romero I., Bosma N.S. Using Average Propagation Lengths to Identify Production Chains in the Andalusian Economy. Estudios de Economia Aplicada. 2005. Vol. 23. No. 2. Pp. 405–422.
25. Dushenin А.I., Ibragimov N.M., Ershov Yu.S. Multipliers in the Analysis of Interregional Interactions. Journal of Siberian Federal University. Humanities and Social Sciences. 2023. Vol. 16. No. 9. Pp. 1630–1643.
26. Isard W. Interregional and Regional Input-Output Analysis: A Model of a Space Economy. Review of Economics and Statistics. 1951. Vol. 33. No. 4. Pp. 318–328. https://doi.org/10.2307/1926459
27. Lopez-Alvarez J., Pedauga L.E., Rueda-Cantuche J.M., Banacloche S., Pinero P. What Really Matters Lies Beneath the National Level: FIGARO-REG and the Trade Exposure of Regions. Available at: https://unece.org/sites/default/files/2024-04/25_FIGARO-REG%20and%20the%20trade%20exposure%20of%20regions.pdf (accessed August 2025).
28. Men X. Spatial Spillover Effects of the Resource Curse: An Empirical Analysis in China. Frontiers in Environmental Science. 2022. Vol. 10. https://doi.org/10.3389/fenvs.2022.894328
29. Miller R.E. Interregional Feedbacks in Input-Output Models: Some Experimental Results. Western Economic Journal. 1969. Vol. 7. No. 1. Pp. 41–50. https://doi.org/10.1111/j.1465-7295.1969.tb01462.x
30. Romero I., Dietzenbacher E., Hewings G.J.D. Fragmentation and Complexity: Analyzing Structural Change in the Chicago Regional Economy. Revista de Economia Mundial. 2009. No. 23. Pp. 263–282.
31. Rossignol N., Llano C., Rojano S.I., Echeverria X.V., Komornicki T., Rosik P., Czapiewski K., Rauhut D., Cardoso R.V., Maruniak E. Interregional Relations in Europe. Available at: https://archive.espon.eu/sites/default/files/attachments/Policy%20Brief%20Interregional%20relations%20in%20Europe.pdf (accessed September 2025).
32. Round J.I. Decomposing Multipliers for Economic Systems Involving Regional and World Trade. The Economic Journal. 1985. Vol. 95. No. 378. Pp. 383–399. https://doi.org/10.2307/2233216
33. Sharma C., Pal D. Revisiting Resource Curse Puzzle: New Evidence from Heterogeneous Panel Analysis. Applied Economics. 2020. Vol. 53. No. 8. Pp. 897–912. https://doi.org/10.1080/00036846.2020.1817309
34. Sonis M., Hewings G.J.D. Economic Complexity As Network Complication: Multiregional Input-Output Structural Path Analysis. The Annals of Regional Science. 1998. Vol. 32. No. 3. Pp. 407–436. https://doi.org/10.1007/s001680050081
35. Sonis M., Hewings G.J.D., Okuyama Y. Trade Typhoon over Japan: Turbulence Metaphor and Spatial Production Cycles Feedback Loops of the Japanese Economy, 1980–85–90. Discrete Dynamics in Nature and Society. 2002. Vol. 7. Pp. 111–119. https://doi.org/10.1080/1026022021000000275
36. Thissen M., Lankhuizen M., van Oort F., Los B., Diodato D. EUREGIO: The Construction of a Global IO Database with Regional Detail for Europe for 2000–2010. Available at: https://papers.tinbergen.nl/18084.pdf (accessed May 2025).
37. Thissen M., van Oort F., Diodato D., Ruijs A. Regional Competitiveness and Smart Specialization in Europe. Place-Based Development in International Economic Networks. Cheltenham: Edward Elgar Publishing Limited, 2013. 255 p.
38. Wang R., Zameer H., Feng Y., Jiao Z., Xu L., Gedikli A. Revisiting Chinese Resource Curse Hypothesis Based on Spatial Spillover Effect: A Fresh Evidence. Resources Policy. 2019. Vol. 64. https://doi.org/10.1016/j.resourpol.2019.101521
39. Xu M., Liang S. Input-Output Networks Offer New Insights of Economic Structure. Physica A: Statistical Mechanics and Its Applications. 2019. Vol. 527. https://doi.org/10.1016/j.physa.2019.121178
Financing  
Date  

Баннер

Лицензия Creative Commons
Если не указано другое, контент этого сайта доступен по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.