| In the section | Articles |
| Title of the article | Estimating the Distances between Russian Regions with an Account for Transport Infrastructure |
| Pages | 96-124 |
| Author 1 | Dmitry Irekovich Galimov Senior Research Fellow Institute of Economic Forecasting RAS 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Leading Expert Center for Macroeconomic Analysis and Short-Term Forecasting 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Senior Research Fellow National Research University Higher School of Economics 20 Myasnitskaya St, Moscow, 101000, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0009-0007-3619-3050 |
| Author 2 | Andrey Andreevich Gnidchenko Candidate of Sciences (Economics), Senior Research Fellow Institute of Economic Forecasting RAS 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Leading Expert Center for Macroeconomic Analysis and Short-Term Forecasting 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Senior Research Fellow National Research University Higher School of Economics 20 Myasnitskaya St, Moscow, 101000, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-0678-8324 |
| Author 3 | Vladimir Alekseevich Salnikov Candidate of Sciences (Economics), Head of Laboratory Institute of Economic Forecasting RAS 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Head of Department Center for Macroeconomic Analysis and Short-Term Forecasting 47 Nakhimovsky Pr., Moscow, 117418, Russian Federation Leading Research Fellow National Research University Higher School of Economics 20 Myasnitskaya St, Moscow, 101000, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-4528-4348 |
| Abstract | This study is devoted to assessing the weighted average distances between the regions of Russia according to different metrics – the shortest distances on the sphere, as well as distances by railways and highways. Such aggregated estimates are necessary for researchers of interregional processes (from migration to cargo transportation), but these estimates are not publicly available. The article fills this gap. We describe the methods for estimating distances using various metrics (relying on the Russian Railways data on ‘tariff distances’ between railway stations, information on cities’ coordinates and population, and web-services for calculating inter-city distances). The proposed metrics can be considered as an economic distance metric developed in the context of gravitational interaction studies. We estimate the distances between Russian regions using recent and highly detailed data (the distances between 2840 railway stations, the population data gathered for about 10,000 settlements). For scientific and practical purposes, the open access to resulting estimates is provided. We discuss and interpret the cases of significant discrepancies in the estimates of distances between Russian regions according to different metrics. We demonstrate that, for a number of regions, location of transport infrastructure determines the need to choose the metric of interregional distance carefully, depending on the task. We estimate the weighted distance between all regions of Russia with an account for changes in regional structure of population; on this basis, we show that since 1990s migration has been directed to regions with greater relative transport connectivity |
| Code | 332.1+338.4 |
| JEL | C82, L92, R40 |
| DOI | https://dx.doi.org/10.14530/se.2024.1.096-124 |
| Keywords | coordinates, metrics, population, distance, cargo turnover, regions, cities, stations, roads, highways, Russia |
| Download | SE.2024.1.096-124.Galimov.pdf |
| For citation | Galimov D.I., Gnidchenko A.A., Salnikov V.A. Estimating the Distances between Russian Regions with an Account for Transport Infrastructure. Prostranstvennaya Ekonomika = Spatial Economics, 2024, vol. 20, no. 1, pp. 96–124. https://dx.doi.org/10.14530/se.2024.1.096-124 (In Russian) |
| References | 1. Abramov А., Gluschenko К. The Matrix of the Shortest Distances between Capital Cities of Russian Regions. Novosibirsk, 2000. Available at: (accessed January 2024). (In Russian). 2. Anderson J.E., van Wincoop E. Gravity with Gravitas: A Solution to the Border Puzzle. American Economic Review, 2003, vol. 93, no. 1, pp. 170–192. 3. Blainey G. The Tyranny of Distance: How Distance Shaped Australia’s History? MacMillan and Co, 1966, 366 p. 4. Condeco-Melhorado A., Zofio J., Christidis P. Drivers of Changes in Spanish Accessibility for the 1960–2010 Period. European Transport Research Review, 2017, vol. 9, 19. 5. Danilova I.V., Savelyeva I.P., Rezepin A.V. Impact of Inter-Territorial Cohesion on the Development of Regional Economic Spaces. Ekonomika Regiona = Economy of Region, 2022, vol. 18, no. 1, pp. 31–48. (In Russian). 6. De Freitas L., Blum S. An Accessibility-Based Methodology to Identify Corridor Speed Upgrades in the European Rail Network. Journal of Transport Geography, 2024, vol. 114, 103760. 7. Getis A., Aldstadt J. Constructing the Spatial Weights Matrix Using a Local Statistic. Geographical Analysis, 2004, vol. 36, issue 2, pp. 90–104. 8. Gladysheva A.A., Ratnikova T.A. The Determinants of the Distribution of Foreign Direct Investment in Russian Food Industry Companies. Prikladnaya Ekonometrika = Applied Econometrics, 2013, vol. 29, no. 1, pp. 97–116. (In Russian). 9. Goryunov A.P., Belousova A.V. Processes of Integration and Fragmentation of Economic Space: The Structure of Settlement Systems. Prostranstvennaya Ekonomika = Spatial Economics, 2017, no. 4, pp. 81–99. (In Russian). 10. Head K., Mayer T. Illusory Border Effects: Distance Mismeasurement Inflates Estimates of Home Bias in Trade. CEPII. Working Paper No. 2002-01, 2002. Available at: (accessed January 2024). 11. Huang R. Distance and Trade: Disentangling Unfamiliarity Effects and Transport Cost Effects. European Economic Review, 2007, vol. 51, issue 1, pp. 161–181. 12. Ivanova V.I. On the Dynamics of Spatial Interaction of Russian Regions. Economics and Geography. Edited by A.P. Zaostrovtsev, L.E. Limonov. Saint Petersburg, 2013, pp. 96–102. (In Russian). 13. Ivanova V.I. Regional Convergence of Income: Spatial Analysis. Prostranstvennaya Ekonomika = Spatial Economics, 2014, no. 4, pp. 100–119. (In Russian). 14. Karachurina L.B., Mkrtchyan N.V. The Experience of Calculating Distances between Different Types of Settlements in Russia to Assess the Range of Population Migration. Vestnik Sankt-Peterburgskogo Universiteta. Nauki o Zemle = Vestnik of Saint Petersburg University. Earth Sciences, 2023, vol. 68, no. 3, pp. 418–442. (In Russian). 15. Karney C. Algorithms for Geodesics. Journal of Geodesy, 2012, vol. 87, pp. 43–55. 16. Kells L., Kern W., Bland J. Plane and Spherical Trigonometry. New York; London: McGraw Hill Book Company, 1940, 600 p. 17. Kolomak Е.А. Spatial Concentration of Economic Activity in Russia. Prostranstvennaya Ekonomika = Spatial Economics, 2014, no. 4, pp. 82–99. (In Russian). 18. Lugovoy О., Dashkeyev V., Mazayev I., Fomchenko D., Polyakov Е., Hecht А. Analysis of Economic Growth in Regions: Geographical and Institutional Aspect. Moscow: Institute for the Economy in Transition, 2007. 164 p. (In Russian). 19. MacEachren A. Travel Time as the Basis of Cognitive Distance. The Professional Geo-grapher, 1980, vol. 32, issue 1, pp. 30–36. 20. Minakir P.A. Economy and Space (Rethinking’ Thesis’s). Prostranstvennaya Ekonomika = Spatial Economics, 2005, no. 1, pp. 4–26. (In Russian). 21. Rietveld P., Vickerman R. Transport in Regional Science: The ‘Death of Distance’ is Premature. Papers in Regional Science, 2004, vol. 83, issue 1, pp. 229–248. 22. Salas-Olmedo M., Garcia P., Gutierrez J. Accessibility and Transport Infrastructure Improvement Assessment: The Role of Borders and Multilateral Resistance. Transportation Research Part A: Policy and Practice, 2015, vol. 82, pp. 110–129. 23. Salnikov C.N., Filatov A.Yu. Russian Regional Matrix of Distances: Use in Econo-mic Analysis. Izvestiya DVFU. Ekonomika i Upravlenie = The Bulletin of the Far Eastern Federal University. Economics and Management, 2023, no. 3, pp. 67–81. (In Russian). 24. Schwartz A. Interpreting the Effect of Distance on Migration. Journal of Political Economy, vol. 81, no. 5, pp. 1153–1169. 25. Sinnott R.W. Virtues of the Haversine. Sky and Telescope, 1984, vol. 68, no. 2, pp. 158–159. 26. Stakhovych S., Bijmolt T. Specification of Spatial Models: A Simulation Study on Weights Matrices. Papers in Regional Science, 2009, vol. 88, issue 2, pp. 389–408. 27. Tariff Guide No. 4, Book 1; Book 2 (Part 1); Book 3. Council for Railway Transport of the Commonwealth member States, 2021. Available at: (accessed January 2024). (In Russian). 28. Tatevosov T.V. The Study of Spatial Patterns of Population Migration. Population Migration Statistics. Edited by A.G. Volkov. Moscow, 1973, pp. 35–48. (In Russian). 29. Tomaev A., Kaukin A., Pavlov P. Russian Domestic Trade: Applying the Gravity Model for Rail Cargo Flows. Ekonomicheskaya Politika = Economic Policy, 2020, vol. 15, no. 5, pp. 60–89. (In Russian). 30. Treyvish A.I. Mobility and Development of Society in the Pulsating Space. Geography of World Development. Issue 3. Edited by L.M. Sintserov. Moscow, 2016, pp. 16–38. (In Russian). 31. Vakulenko E.S., Mkrtchyan N.V., Furmanov K.K. Modelling Registered Migration Flows between Regions of the Russian Federation. Prikladnaya Ekonometrika = Applied Econometrics, 2011, vol. 21, no. 1, pp. 35–55. (In Russian). 32. Vincenty T. Direct and Inverse Solutions of Geodesics on the Ellipsoid with Application of Nested Equations. Survey Review, 1975, vol. 23, issue 176, pp. 88–93. 33. Wolf H. Intranational Home Bias in Trade. The Review of Economics and Statistics, 2000, vol. 82, issue 4, pp. 555–563. 34. Zemtsov S.P., Baburin V.L. Assessing the Potential of Economic-Geographical Position for Russian Regions. Ekonomika Regiona = Economy of Region, 2016, vol. 12, no. 1, pp. 117–138. (In Russian) |
| Financing | This work has been carried out within the framework of the program of fundamental research of the National Research University Higher School of Economics in 2024 (TOR-52) |
| Submitted | 20.02.2024 |
| Approved after reviewing | 28.02.2024 |
| Accepted for publication | 05.03.2024 |
| Available online | 01.04.2024 |