Labor Productivity in the Regions of Eastern Russia and Northeastern China

Based on data from Federal State Statistics Service, the National Bureau of Statistics of China and the Central Bank of the Russian Federation, an analysis of the dynamics and spatial differentiation of labor productivity in the regions of Russia and China was carried out. It was found that in most Russian regions labor productivity in the economy as a whole in 2022 was lower than the national value. Among the subjects with high values of the indicator, territories with a raw materials-based economic systems predominate. It was revealed that for 2017–2022 only in seven Russian regions, located mainly in the European part of the country, there was a decrease in the volume of added value per employee. All Far Eastern territories were characterized by positive dynamics of the indicator. Special attention is paid to the cross-country comparison and analysis of the level of labor productivity in neighboring Russian and Chinese regions involved in the processes of crossborder cooperation. The calculation results indicate that in 2017, labor productivity in the Chinese economy was lower than in the Russian one. However, in 2022, China, where this indicator grew rapidly in 2017–2022, surpassed Russia in production of gross value added per person employed in the economy. It was found that in 2022, labor productivity in the neighboring regions of China was significantly higher than in most regions of the East of the Russian Federation. It is shown that in Russia and China, as well as in most of the analyzed regions, labor productivity in the industrial sector is higher than in the economy as a whole.

Authors

Institutions

Publication Details

Journal
Problemy Dalnego Vostoka
Published
2024-12-15
DOI
https://doi.org/10.31857/s0131281224050086
Primary Topic
Regional Socio-Economic Development Trends
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Labor Productivity in the Regions of Eastern Russia and Northeastern China

L. M. Faleychik, И. А. Забелина, И.П. ГЛАЗЫРИНА
Problemy Dalnego Vostoka
Regional Socio-Economic Development Trends
article

Labor Productivity in the Regions of Eastern Russia and Northeastern China

L. M. Faleychik, И. А. Забелина, И.П. ГЛАЗЫРИНА
article en

Abstract

Based on data from Federal State Statistics Service, the National Bureau of Statistics of China and the Central Bank of the Russian Federation, an analysis of the dynamics and spatial differentiation of labor productivity in the regions of Russia and China was carried out. It was found that in most Russian regions labor productivity in the economy as a whole in 2022 was lower than the national value. Among the subjects with high values of the indicator, territories with a raw materials-based economic systems predominate. It was revealed that for 2017–2022 only in seven Russian regions, located mainly in the European part of the country, there was a decrease in the volume of added value per employee. All Far Eastern territories were characterized by positive dynamics of the indicator. Special attention is paid to the cross-country comparison and analysis of the level of labor productivity in neighboring Russian and Chinese regions involved in the processes of crossborder cooperation. The calculation results indicate that in 2017, labor productivity in the Chinese economy was lower than in the Russian one. However, in 2022, China, where this indicator grew rapidly in 2017–2022, surpassed Russia in production of gross value added per person employed in the economy. It was found that in 2022, labor productivity in the neighboring regions of China was significantly higher than in most regions of the East of the Russian Federation. It is shown that in Russia and China, as well as in most of the analyzed regions, labor productivity in the industrial sector is higher than in the economy as a whole.

Problemy Dalnego Vostoka(5)
Siberian Branch of the Russian Academy of Sciences (RU)
Siberian Branch, Russian Academy of Sciences
Decent work and economic growth
Openalex Percentile: Top 55%
Regional Socio-Economic Development Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.