Government Policy, Low‐ and High‐Skilled Labour, and Technical Inefficiency in Chinese Agriculture, 1952–2008

ABSTRACT We utilize Chinese provincial data to explore how government policies affected grain production between 1952 and 2008. We adapt the Caselli‐Coleman framework to allow multiple inputs including fertilizer, land and capital as well as skilled and unskilled labour. We also extend the method to allow for comparisons of production possibilities over time as well as across provinces. We derive measures of the technological frontier for Chinese agricultural production for each year over the 56‐year period. The empirical estimates illustrate how labour efficiency in Chinese grain production changed from 1952 to 2008, encompassing the Great Leap Forward (1958–1962), the collective farming period (1963–1977), and the rural economic reforms initiated in 1978. Government policies held back agricultural production in the 1960s and 1970s by limiting efficient use of labour at a time when the Green Revolution was raising grain yields dramatically throughout Asia. Reductions in labour efficiency led to a 12.9% average decline in grain output during the Great Leap Forward and little gain during the collective farming period. In contrast, rural reforms that allowed farmers to profit from production above their assigned quotas starting in 1978 significantly enhanced labour efficiency for the more skilled but had little impact on the productive efficiency of unskilled agricultural workers.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural Economics
Published
2026-08-03
DOI
https://doi.org/10.1111/1477-9552.70070
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Government Policy, Low‐ and High‐Skilled Labour, and Technical Inefficiency in Chinese Agriculture, 1952–2008

Peter F. Orazem, Yulong Chen
Journal of Agricultural Economics
Efficiency Analysis Using DEA
article

Government Policy, Low‐ and High‐Skilled Labour, and Technical Inefficiency in Chinese Agriculture, 1952–2008

Peter F. Orazem, Yulong Chen
article en

Abstract

ABSTRACT We utilize Chinese provincial data to explore how government policies affected grain production between 1952 and 2008. We adapt the Caselli‐Coleman framework to allow multiple inputs including fertilizer, land and capital as well as skilled and unskilled labour. We also extend the method to allow for comparisons of production possibilities over time as well as across provinces. We derive measures of the technological frontier for Chinese agricultural production for each year over the 56‐year period. The empirical estimates illustrate how labour efficiency in Chinese grain production changed from 1952 to 2008, encompassing the Great Leap Forward (1958–1962), the collective farming period (1963–1977), and the rural economic reforms initiated in 1978. Government policies held back agricultural production in the 1960s and 1970s by limiting efficient use of labour at a time when the Green Revolution was raising grain yields dramatically throughout Asia. Reductions in labour efficiency led to a 12.9% average decline in grain output during the Great Leap Forward and little gain during the collective farming period. In contrast, rural reforms that allowed farmers to profit from production above their assigned quotas starting in 1978 significantly enhanced labour efficiency for the more skilled but had little impact on the productive efficiency of unskilled agricultural workers.

Journal of Agricultural Economics
Central University of Finance and Economics (CN), Iowa State University (US)
Charles Koch Foundation
Decent work and economic growth
Openalex Percentile: Top 6%
Efficiency Analysis Using DEA
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.