A decomposition of economic growth decompositions

Abstract This paper critically compares the ability of all three decomposition techniques that explain economic growth and its variation between regions and nations. Old time shift-and-share analysis (S&S) presumes that industry mix and regional competitiveness are all important. Structural decomposition analysis (SDA) presumes that final demand growth and input–output coefficient changes are all that matter. Growth accounting (GA) presumes the same for the growth of production factors and technological progress. This paper concludes that an econometric estimation of a GA equation without its residual factor productivity growth component, but with industry mix and demand components from S&Ss and SDAs, respectively, offers the best approach to explain longer term economic growth and variations therein.

Authors

Institutions

Publication Details

Journal
The Annals of Regional Science
Published
2024-09-27
DOI
https://doi.org/10.1007/s00168-024-01309-7
Citations
2
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A decomposition of economic growth decompositions

Jan Oosterhaven
2 citations
The Annals of Regional Science
Economic Growth and Productivity
2.26
article

A decomposition of economic growth decompositions

Jan Oosterhaven
article en
2 citations

Abstract

Abstract This paper critically compares the ability of all three decomposition techniques that explain economic growth and its variation between regions and nations. Old time shift-and-share analysis (S&S) presumes that industry mix and regional competitiveness are all important. Structural decomposition analysis (SDA) presumes that final demand growth and input–output coefficient changes are all that matter. Growth accounting (GA) presumes the same for the growth of production factors and technological progress. This paper concludes that an econometric estimation of a GA equation without its residual factor productivity growth component, but with industry mix and demand components from S&Ss and SDAs, respectively, offers the best approach to explain longer term economic growth and variations therein.

The Annals of Regional ScienceVol. 73(4)
University of Groningen (NL)
Openalex Percentile: Top 8%
Economic Growth and Productivity
2.26
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.