Productivity without movement: evidence from state-level decomposition of labor productivity in India, 1980–2023

This article examines the long-run evolution of labor productivity in India, utilizing McMillan’s and De Vries’s state-level decomposition of aggregate labor productivity into within-sector and between-sector components from 1980 to 2023. The analysis finds that labor productivity within-sector rises, but the between-sector effect remains weak, challenging the conventional narrative of structural transformation. Changes in agricultural employment shares have not been accompanied by increases in manufacturing employment shares, revealing a distinct pattern of employment transformation in India. Furthermore, the findings show that manufacturing sector plays a dominant role in driving labor productivity rather than the service sector indicating a pattern of productivity without movement. The study also highlights the coexistence of modest static gains and pervasive negative dynamic effects, suggesting that structural change in India has been episodic rather than transformative. This article concludes by discussing the implications of this pattern for industrial policy, labor market reforms, regional development and inclusive growth.

Authors

Institutions

Publication Details

Journal
Journal of the Asia Pacific Economy
Published
2026-11-06
DOI
https://doi.org/10.1080/13547860.2026.2755909
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Productivity without movement: evidence from state-level decomposition of labor productivity in India, 1980–2023

Arfat Ahmad Sofi, Md Quaisar Ali
2 links
Journal of the Asia Pacific Economy
Economic Growth and Productivity
article

Productivity without movement: evidence from state-level decomposition of labor productivity in India, 1980–2023

Arfat Ahmad Sofi, Md Quaisar Ali
article en

Abstract

This article examines the long-run evolution of labor productivity in India, utilizing McMillan’s and De Vries’s state-level decomposition of aggregate labor productivity into within-sector and between-sector components from 1980 to 2023. The analysis finds that labor productivity within-sector rises, but the between-sector effect remains weak, challenging the conventional narrative of structural transformation. Changes in agricultural employment shares have not been accompanied by increases in manufacturing employment shares, revealing a distinct pattern of employment transformation in India. Furthermore, the findings show that manufacturing sector plays a dominant role in driving labor productivity rather than the service sector indicating a pattern of productivity without movement. The study also highlights the coexistence of modest static gains and pervasive negative dynamic effects, suggesting that structural change in India has been episodic rather than transformative. This article concludes by discussing the implications of this pattern for industrial policy, labor market reforms, regional development and inclusive growth.

Journal of the Asia Pacific Economy
Birla Institute of Technology and Science, Pilani - Goa Campus (IN), Birla Institute of Technology and Science, Pilani (IN)
Decent work and economic growth, Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Economic Growth and Productivity
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.

Laika access coming soon