Socioeconomic differences in population growth in 19th century Liaoning, China: a decomposition

We decompose population growth in 19 th century Liaoning in northeast China into the shares accounted for by different socioeconomic groups, and by time periods with different economic conditions as reflected in grain prices. This decomposition reveals who benefitted the most when social and economic conditions supported population increase. Previous studies of one region for which relevant data are available, northeast China, showed that birth and death rates varied according to community, household, and individual context, but did not investigate differences in growth rates by context, or the shares of population growth accounted for by each group. Using the same dataset, we decompose population growth by synthesizing differentials in mortality and fertility into estimates of implied growth rates of population subgroups and the shares of total population growth they account for. This decomposition framework can be applied in any setting where household registers or other sources allow for the measurement of the mortality and fertility rates of population subgroups at fixed points of time. We show that advantaged socioeconomic groups contributed disproportionately to population growth in northeast China, and that more growth took place when harvests were good, that is when grain prices were low. Even though mortality and fertility responses to grain price fluctuations varied across subgroups, there is no evidence of differential response of growth rates to these fluctuations. We conclude by discussing the implications of our findings for our understanding of population dynamics in the late Qing.

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Publication Details

Journal
Explorations in Economic History
Published
2025-03-08
DOI
https://doi.org/10.1016/j.eeh.2025.101678
Citations
1
Primary Topic
Historical Economic and Social Studies
Type
article
Field-Weighted Citation Impact
3.13

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article

Socioeconomic differences in population growth in 19th century Liaoning, China: a decomposition

Cameron Campbell, James Lee
1 citations
Explorations in Economic History
Historical Economic and Social Studies
3.13
article

Socioeconomic differences in population growth in 19th century Liaoning, China: a decomposition

Cameron Campbell, James Lee
article en
1 citations

Abstract

We decompose population growth in 19 th century Liaoning in northeast China into the shares accounted for by different socioeconomic groups, and by time periods with different economic conditions as reflected in grain prices. This decomposition reveals who benefitted the most when social and economic conditions supported population increase. Previous studies of one region for which relevant data are available, northeast China, showed that birth and death rates varied according to community, household, and individual context, but did not investigate differences in growth rates by context, or the shares of population growth accounted for by each group. Using the same dataset, we decompose population growth by synthesizing differentials in mortality and fertility into estimates of implied growth rates of population subgroups and the shares of total population growth they account for. This decomposition framework can be applied in any setting where household registers or other sources allow for the measurement of the mortality and fertility rates of population subgroups at fixed points of time. We show that advantaged socioeconomic groups contributed disproportionately to population growth in northeast China, and that more growth took place when harvests were good, that is when grain prices were low. Even though mortality and fertility responses to grain price fluctuations varied across subgroups, there is no evidence of differential response of growth rates to these fluctuations. We conclude by discussing the implications of our findings for our understanding of population dynamics in the late Qing.

Explorations in Economic HistoryVol. 97
Hong Kong University of Science and Technology (HK), Central China Normal University (CN), University of Hong Kong (HK)
Research Grants Council, University Grants Committee
Reduced inequalities
Openalex Percentile: Top 10%
Historical Economic and Social Studies
3.13
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