Author
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
Suggested Citation
Anna Vasilyevna Belousova, 2025.
"Assessment of Sectoral Multiplier Effects of Employment in the Regional Economy,"
Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 120-137.
Handle:
RePEc:far:spaeco:y:2025:i:4:p:120-137
DOI: https://dx.doi.org/10.14530/se.2025.4.120-137
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
JEL classification:
- 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:far:spaeco:y:2025:i:4:p:120-137. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Sergey Rogov (email available below). General contact details of provider: https://edirc.repec.org/data/ecrinru.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.