Household Size, Demographic Composition, and per Capita Expenditure: Evidence from Binh Dinh Province, Vietnam

Per capita household expenditure is widely used to assess realized welfare. However, its variation may reflect not only income differences but also household scale, demographic composition, health-related burdens, and social disadvantage. This study examines the conditional correlates of per capita household expenditure in Binh Dinh Province, Vietnam, with particular attention to household size, demographic composition, illness burden, and ethnic-minority status. Using cross-sectional survey data from 320 households collected in 2025, this study estimates a log-linear ordinary least squares (OLS) model and applies bias-corrected and accelerated (BCa) bootstrap inference based on 2000 replications. The results show a strong but less-than-proportional expenditure–income association, with an estimated income elasticity of 0.687. Household size is nonlinearly associated with expenditure, indicating scale advantages at smaller household sizes and resource dilution beyond a threshold. A higher child share and the presence of severe or chronic illness are positively associated with expenditure, whereas elderly and female shares are not statistically significant. Ethnic-minority status remains negatively associated with expenditure after controlling for income, household composition, illness burden, and locational characteristics. These findings show that per capita household expenditure in a developing provincial economy is jointly related to income, household scale, demographic needs, health-related financial pressure, and social vulnerability.

Authors

Institutions

Publication Details

Journal
Economies
Published
2026-07-02
DOI
https://doi.org/10.3390/economies14070247
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Household Size, Demographic Composition, and per Capita Expenditure: Evidence from Binh Dinh Province, Vietnam

Trương Thị Thùy Trang, Ngo Thi Hai Yen, Vu Thi Mai Huong
Economies
Income, Poverty, and Inequality
article

Household Size, Demographic Composition, and per Capita Expenditure: Evidence from Binh Dinh Province, Vietnam

Trương Thị Thùy Trang, Ngo Thi Hai Yen, Vu Thi Mai Huong
article en

Abstract

Per capita household expenditure is widely used to assess realized welfare. However, its variation may reflect not only income differences but also household scale, demographic composition, health-related burdens, and social disadvantage. This study examines the conditional correlates of per capita household expenditure in Binh Dinh Province, Vietnam, with particular attention to household size, demographic composition, illness burden, and ethnic-minority status. Using cross-sectional survey data from 320 households collected in 2025, this study estimates a log-linear ordinary least squares (OLS) model and applies bias-corrected and accelerated (BCa) bootstrap inference based on 2000 replications. The results show a strong but less-than-proportional expenditure–income association, with an estimated income elasticity of 0.687. Household size is nonlinearly associated with expenditure, indicating scale advantages at smaller household sizes and resource dilution beyond a threshold. A higher child share and the presence of severe or chronic illness are positively associated with expenditure, whereas elderly and female shares are not statistically significant. Ethnic-minority status remains negatively associated with expenditure after controlling for income, household composition, illness burden, and locational characteristics. These findings show that per capita household expenditure in a developing provincial economy is jointly related to income, household scale, demographic needs, health-related financial pressure, and social vulnerability.

EconomiesVol. 14(7)
Hanoi National University of Education (VN), Quy Nhon University (VN)
Bộ Giáo dục và Ðào tạo
No poverty
Openalex Percentile: Top 4%
Income, Poverty, and Inequality
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.