| In the section | Articles |
| Title of the article | Assessment of Sectoral Multiplier Effects of Employment in the Regional Economy |
| Pages | 120-137 |
| Author | Anna Vasilyevna Belousova Candidate of Sciences (Economics), Senior Research Fellow Economic Research Institute FEB RAS 153 Tikhookeanskaya St., Khabarovsk, 680042, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0001-6569-2982 |
| Abstract | The article addresses the problem of obtaining estimates of multiplier effects for regional employment generated by changes in final demand for manufactured products, broken down by types of economic activity. For the economy of the model region, Khabarovsk Krai, a quantitative analysis of sectoral employment multipliers for 2017-2021 is conducted based on regionalized national input-output tables using the modified Flagg localization coefficient (FLQ+) method. The industries with the highest employment multipliers are identified (in the model region these are education (2017-2021), production of textiles, clothing, leather and leather goods (2017-2021), healthcare and social services (2017), and the activities of hotels and catering establishments (2018-2021)). Based on the matrix of total labor costs, the structure of multiplier effects is determined for each of the 33 studied activities: changes in employment in the production of final products (direct effect) and in the production of intermediate products (indirect effect). The industries for which indirect effects prevail over the direct ones are identified (in the model region these are production of coke and petroleum products (2017-2021), mining (2017-2020), metallurgical production and production of finished metal products (2017-2021), production of chemicals and chemical products (2017-2021), production of food products, including beverages, and tobacco (2017, 2019)). The presence of the relevant industries confirms the need to take into account inter-industry interactions when assessing the sectoral structure of labor demand. The results obtained for the model region are compared with the results of studies conducted for the national economy, and their consistency is revealed |
| Code | 332.14 |
| JEL | R58 |
| DOI | https://dx.doi.org/10.14530/se.2025.4.120-137 |
| Keywords | labor demand, inter-industry employment multipliers, direct multiplier effect, indirect multiplier effect, Khabarovsk Krai |
| Download | |
| For citation | Belousova A.V. Assessment of Sectoral Multiplier Effects of Employment in the Regional Economy. Prostranstvennaya Ekonomika = Spatial Economics, 2025, vol. 21, no. 4, pp. 120-137. https://dx.doi.org/10.14530/se.2025.4.120-137 (In Russian) |
| References | 1. Analysis and Forecasting Development Economics of the Republic of Buryatia Analysis and Forecasting Development Economics of the Republic of Buryatia. Edited by A.O. Baranov, Z.B.-D. Dondokov. Ulan-Ude: Buryat Scientific Centre of SB RAS, 2019, 202 p. (In Russian). 2. Belousova A.V. Multiplier Effects in MacroregionтАЩs Economy. Development of Large Socio-Economic Systems: Far Eastern Macroregion. Edited by P.A. Minakir, A.G. Isaev. Economic Research Institute FEB RAS. Khabarovsk: ERI FEB RAS, 2023, pp. 70-82. (In Russian). 3. Belousova A.V., Isaev A.G. Assessment of Multiplier Effects in the Economy of the Far Eastern Federal District: Interindustry Modeling. Regionalistica = Regionalistics, 2023, vol. 10, no. 6, pp. 9-20. (In Russian). 4. Belousova A.V., Isaev A.G. Decomposition of Multiplicative Effects in a Two-Sector Economy: Influence of External Demand (On the Example of the Far Eastern Constituent Entities of the Russian Federation). Regionalistica = Regionalistics, 2024, vol. 11, no. 6, pp. 5-17. (In Russian). 5. Bonfiglio A., Chelli F. Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation. Economic Systems Research, 2008, vol. 20, issue 3, pp. 243-258. 6. Chepel A.A., Chernyavskiy A.V. Regional Input-Output Multipliers: Methodological and Informational Issues. Ekonomicheskiy Zhurnal Vysshey Shkoly Ekonomiki = Higher School of Economics Economic Journal, 2022, vol. 26, no. 1, pp. 37-68. (In Russian). 7. Edinak E.A. Estimating Total Labor Input for Supporting Informed Economic Policy Decisions. Problemy Prognozirovaniya = Studies on Russian Economic Development, 2020, vol. 31, no. 6, pp. 655-662. (In Russian). 8. Flegg A.T., Lamonica G.R., Chelli F.M., Recchioni M.C., Tohmo T.A. New Approach to Modelling the Input-Output Structure of Regional Economies Using Non-Survey Methods. Journal of Economic Structures, 2021, vol. 10. 12. 9. Flegg A.T., Tohmo T. Estimating Regional Input Coefficients and Multipliers: The Use of FLQ Is Not a Gamble. Regional Studies, 2016, vol. 50, issue 2, pp. 310-325. 10. Flegg A.T., Webber C.D. On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply. Regional Studies, 1997, vol. 31, issue 8, pp. 795-805. 11. Kronenberg T. Construction of Regional Input-Output Tables Using Nonsurvey Methods: The Role of Cross-Hauling. International Regional Science Review, 2009, vol. 32, issue 1, pp. 40-64. 12. Ksenofontov M.Y., Shirov A.A., Polzikov D.A., Yantovskii A.A. Assessing Multiplier Effects in the Russian Economy: Input-Output Approach. Problemy Prognozirovaniya = Studies on Russian Economic Development, 2018, vol. 29, no. 2, pp. 109-115. (In Russian). 13. Lukin E.V. About the Role of Input-Output Balance in Government Regulation of the Economy. Ekonomicheskie i Sotsialnye Peremeny: Fakty, Tendentsii, Prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2017, vol. 10, no. 3, pp. 41-58. (In Russian). 14. Ponomarev Yu.Yu., Evdokimov D.Yu. Assessment of Extended Multiplicative Socio-Economic Effects on the Basis of Input-Output Balance Model. Ekonomicheskoe Razvitie Rossii = Russian Economic Developments, 2020, no. 27, no. 7, pp. 30-45. (In Russian). 15. Shirov A.A. Use of Input-Output Approach for Supporting Decisions in the Field ╨╛f Economic Policy. Problemy Prognozirovaniya = Studies on Russian Economic Development, 2018, vol. 29, no. 6 (171), pp. 588-597. (In Russian). 16. Szabo N. Methods for Regionalizing Input-Output Tables. Regional Statistics, 2015, vol. 5, issue 1, pp. 44-65. |
| Financing | |
| Submitted | 20.08.2025 |
| Approved after reviewing | 10.11.2025 |
| Accepted for publication | 07.12.2025 |
| Available online | 25.12.2025 |
