IDEAS home Printed from https://ideas.repec.org/a/aiy/journl/v9y2023i3p310-324.html
   My bibliography  Save this article

Causal analysis of the interinfluence of workforce productivity and rail freight intensity in the regions of the Ural Federal District

Author

Listed:
  • Mikhail B. Petrov

    (Institute of Economics of the Ural Branch of RAS, Yekaterinburg, Russia)

  • Leonid A. Serkov

    (Institute of Economics of the Ural Branch of RAS, Yekaterinburg, Russia)

  • Kseniya A. Zavyalova

    (Institute of Economics of the Ural Branch of RAS, Yekaterinburg, Russia)

Abstract

Relevance. The development of the railway industry has a significant positive impact on socio-economic dynamics at both the state and regional levels, which has been confirmed by numerous domestic and foreign studies. However, the issue of mutual influence of such categories as regional labour productivity and rail freight intensity has been little studied. At the same time, the most important task today is to find effective incentives for the growth of regional labour productivity. Research objective. This study aims to econometric analysis of the relationship between rail freight intensity and workforce productivity in the Ural Federal District (UFD). Data and Methods. The study uses official statistical data on Russian regions provided by the Federal State Statistics Service. The methods of Vector Error Correction Models (VECM) and pooled mean group estimates (PMG method) formed the methodological basis of the study. Results. The study has shown that there is a relationship between workforce productivity and rail freight intensity. At that point, in a short-term period growth of rail freight intensity leads to an increase in workforce productivity, which in a long-term period itself becomes an incentive to increase the shipped commodity mass and rail freight intensity. Conclusions. The findings can be of interest to public authorities at the national and regional levels, for heads of industrial structures and functional institutions, representatives of business and scientific communities interested in the development and modernization of transport infrastructure, being a basic condition for the increased intensity of cargo transportation in the region.

Suggested Citation

  • Mikhail B. Petrov & Leonid A. Serkov & Kseniya A. Zavyalova, 2023. "Causal analysis of the interinfluence of workforce productivity and rail freight intensity in the regions of the Ural Federal District," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 9(3), pages 310-324.
    • Handle: RePEc:aiy:journl:v:9:y:2023:i:3:p:310-324
    DOI: https://doi.org/10.15826/recon.2023.9.3.019
    as

    Download full text from publisher

    File URL: https://journals.urfu.ru/index.php/r-economy/article/view/7179
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.15826/recon.2023.9.3.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    2. Ant�nio Afonso & João Tovar Jalles, 2015. "Fiscal sustainability: a panel assessment for advanced economies," Applied Economics Letters, Taylor & Francis Journals, vol. 22(11), pages 925-929, July.
    3. António Afonso & João Tovar Jalles, 2016. "The elusive character of fiscal sustainability," Applied Economics, Taylor & Francis Journals, vol. 48(28), pages 2651-2664, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magazzino, Cosimo & Brady, Gordon L. & Forte, Francesco, 2019. "A panel data analysis of the fiscal sustainability of G-7 countries," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    2. António Afonso & José Carlos Coelho, 2024. "Budgetary constrained governments: drivers of time varying fiscal sustainability in OECD countries," Working Papers REM 2024/0325, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    3. María del Carmen Ramos-Herrera & María A. Prats, 2020. "Fiscal Sustainability in the European Countries: A Panel ARDL Approach and a Dynamic Panel Threshold Model," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    4. Afonso, António & Coelho, José Carlos, 2024. "Drivers of fiscal sustainability: A time-varying analysis for Portugal," International Economics, Elsevier, vol. 178(C).
    5. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    6. Pierre ALDAMA & Jérôme Creel, 2017. "Fiscal policy in the US : Ricardian after all ?," Documents de Travail de l'OFCE 2017-23, Observatoire Francais des Conjonctures Economiques (OFCE).
    7. Feng, Xuesong & Tao, Zhibin & Shi, Ruolin, 2024. "The Spatiotemporal exploration of intercity transport energy efficiency in the mainland of China on the basis of improved stochastic frontier modelling," Renewable Energy, Elsevier, vol. 224(C).
    8. repec:spo:wpmain:info:hdl:2441/4718gto3ar8s3r4k307p0bvbcs is not listed on IDEAS
    9. Aldama Pierre & Jérôme Creel, 2016. "Why fiscal regimes matter for fiscal sustainability analysis : an application to France," Documents de Travail de l'OFCE 2016-15, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. Manel Daldoul & Ahlem Dakhlaoui, 2018. "Using the LMDI Decomposition Approach to Analyze the Influencing Factors of Carbon Emissions in Tunisian Transportation Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 22-28.
    11. Isik, Mine & Ari, Izzet & Sarica, Kemal, 2021. "Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach," Utilities Policy, Elsevier, vol. 70(C).
    12. Afonso, António & Alves, José & Monteiro, Sofia, 2024. "Sovereign risk dynamics in the EU: The time varying relevance of fiscal and external (im)balances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    13. Robaina, Margarita & Neves, Ana, 2021. "Complete decomposition analysis of CO2 emissions intensity in the transport sector in Europe," Research in Transportation Economics, Elsevier, vol. 90(C).
    14. William Irungu Nganga & Julien Chevallier & Simon Wagura Ndiritu, 2018. "Regime changes and fiscal sustainability in Kenya with comparative nonlinear Granger causalities across East-African countries," Working Papers halshs-01941226, HAL.
    15. Malte Rengel, 2020. "Sustainability of European fiscal balances: Just a statistical artifact?," Empirical Economics, Springer, vol. 58(4), pages 1681-1712, April.
    16. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    17. Diego Martínez‐López, 2022. "Subnational borrowing and bailouts: When the federal government looks at the votes (differently) and its borrowing matters," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(3), pages 609-633, June.
    18. Huiling Wang & Jiaxin Luo & Mengtian Zhang & Yue Ling, 2022. "The Impact of Transportation Restructuring on the Intensity of Greenhouse Gas Emissions: Empirical Data from China," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    19. Vicente Sebastian Espinoza & Javier Fontalvo & Paola Ramírez & Jaime Martí-Herrero & Margarita Mediavilla, 2022. "Energy Transition Scenarios for Fossil Fuel Rich Developing Countries under Constraints on Oil Availability: The Case of Ecuador," Energies, MDPI, vol. 15(19), pages 1-25, September.
    20. Liu, Ningyin & Zhang, Yan & Fath, Brian D., 2021. "The material metabolism characteristics and growth patterns of the central cities of China's Beijing-Tianjin-Hebei region," Ecological Modelling, Elsevier, vol. 448(C).
    21. Xue-ting Jiang & Min Su & Rongrong Li, 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.

    More about this item

    Keywords

    regional development; regional transportation system; workforce productivity; rail freight intensity; vector error correction models (VECM); method of pooled mean group estimates (PMG method);
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiy:journl:v:9:y:2023:i:3:p:310-324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.