IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v33y2022i1d10.1134_s1075700722010063.html
   My bibliography  Save this article

Endogenization of Household Consumption in the Expanded Input–Output Model

Author

Listed:
  • E. A. Edinak

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • A. R. Sayapova

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • A. A. Shirov

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

The article examines the relationship between the level of demand of income groups of the population and labor income. The influence of demand of various income groups of the population on production parameters has been investigated. As a calculation tool, input–output tables with an expanded total cost coefficient matrix by adding elements of wages and household consumption to it have been used. The conclusion has been substantiated that the growth of income and demand in low-income groups of the population has the greatest effect on production in the real sector, and in high-income groups of the population—on the products of the service sector. Large-scale sectors of the economy have been identified, the activities of which are most influenced by the demand of certain income groups, taking into account the induced effects that form in the economy. It has been noted that the growth in demand in low-income groups of the population is most reflected in the incomes of high-income groups of the population. It has been shown that even relatively modest structural shifts in the volume of wages by decile groups can lead to tangible structural and total changes in output. The analysis of the impact on production volumes of changes in the qualification structure of employment, reflecting smaller differences in the response of sectors of the economy to changes in demand of different qualification groups of workers than income groups, has been carried out.

Suggested Citation

  • E. A. Edinak & A. R. Sayapova & A. A. Shirov, 2022. "Endogenization of Household Consumption in the Expanded Input–Output Model," Studies on Russian Economic Development, Springer, vol. 33(1), pages 1-10, February.
    • Handle: RePEc:spr:sorede:v:33:y:2022:i:1:d:10.1134_s1075700722010063
    DOI: 10.1134/S1075700722010063
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700722010063
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1134/S1075700722010063?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. E. A. Edinak & A. A. Shirov, 2021. "Assessment of the Relationship between the Qualification Structure of Employment and Household Consumption Using Input–Output Tables," Studies on Russian Economic Development, Springer, vol. 32(6), pages 593-602, November.
    2. Neil Lee & Stephen Clarke, 2017. "Who gains from high-tech growth? High-technology multipliers, employment and wages in Britain," SPRU Working Paper Series 2017-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. M. Yu. Ksenofontov & A. A. Shirov & D. A. Polzikov & A. A. Yantovskii, 2018. "Assessing Multiplier Effects in the Russian Economy: Input-Output Approach," Studies on Russian Economic Development, Springer, vol. 29(2), pages 109-115, March.
    4. Steenge, Albert E. & Incera, André Carrascal & Serrano, Mònica, 2020. "Income distributions in multi-sector analysis; Miyazawa’s fundamental equation of income formation revisited," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 377-387.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. V. Gotovsky, 2022. "Dualism of Methodologies in Macroeconomic Statistics and Analysis," Studies on Russian Economic Development, Springer, vol. 33(6), pages 618-630, December.
    2. A. A. Shirov, 2022. "Macrostructural Analysis and Forecasting in Modern Conditions of Economic Development," Studies on Russian Economic Development, Springer, vol. 33(5), pages 495-505, October.

    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. E. A. Edinak, 2020. "Estimating Total Labor Input for Supporting Informed Economic Policy Decisions," Studies on Russian Economic Development, Springer, vol. 31(6), pages 655-662, November.
    2. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    3. A. A. Shirov, 2022. "Macrostructural Analysis and Forecasting in Modern Conditions of Economic Development," Studies on Russian Economic Development, Springer, vol. 33(5), pages 495-505, October.
    4. V. A. Malakhov & K. V. Nesytykh, 2022. "Russia’s Long-Term Macroeconomic Losses and Benefits from the Low-Carbon Development of the World and Domestic Energy Industry," Studies on Russian Economic Development, Springer, vol. 33(4), pages 392-401, August.
    5. Gutierrez-Posada, Diana & Kitsos, Tasos & Nathan, Max & Nuccio, Massimiliano, 2021. "Do Creative Industries Generate Multiplier Effects? Evidence from UK Cities, 1997-2018," SocArXiv xs8zg, Center for Open Science.
    6. Kemeny, Tom & Osman, Taner, 2018. "The wider impacts of high-technology employment: Evidence from U.S. cities," Research Policy, Elsevier, vol. 47(9), pages 1729-1740.
    7. B. N. Porfiriev & A. A. Shirov & O. O. Yanushevich & D. I. Grachev & D. A. Polzikov & I. V. Zolotnitskii & S. D. Arutyunov, 2023. "Development of Subsidized Prosthodontic Care: Socio-Economic Problems and Opportunities," Studies on Russian Economic Development, Springer, vol. 34(1), pages 68-76, February.
    8. A. O. Baranov & A. V. Goreev, 2022. "Analysis of the Multiplier Effects Produced by Investment in a Dynamic Input–Output Model," Studies on Russian Economic Development, Springer, vol. 33(6), pages 687-696, December.
    9. A. A. Shirov, 2018. "Use of Input–Output Approach for Supporting Decisions in the Field of Economic Policy," Studies on Russian Economic Development, Springer, vol. 29(6), pages 588-597, November.
    10. A. V. Gotovsky, 2022. "Dualism of Methodologies in Macroeconomic Statistics and Analysis," Studies on Russian Economic Development, Springer, vol. 33(6), pages 618-630, December.
    11. S. V. Chepel, 2023. "Modeling the Environmental Macrostructural and Social Impacts of Reducing Energy Subsidies (by the Example of Uzbekistan)," Studies on Russian Economic Development, Springer, vol. 34(5), pages 713-723, October.

    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:spr:sorede:v:33:y:2022:i:1:d:10.1134_s1075700722010063. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.