Data · dataset · 2026
Disparities in Poverty Characteristics among Diverse Family Structures: Evidence from Socioeconomically Deprived Rural Areas in Shandong Province
Listed in ScienceDB
This data comes from a rural household multidimensional poverty survey conducted in July–August 2023 in former poverty-stricken counties in Shandong Province, China.
Description
A multistage sampling method was used: 2 counties were selected from each of 3 prefecture-level cities, 3 townships from each county, 4 villages from each township, and 35 households were interviewed in each village. The initial sample was 2,527 households, and after excluding samples with missing key information on the household head, 2,399 households were included in the final analysis.
Data were collected through structured questionnaire face-to-face interviews, covering six dimensions: family structure, economic security, health status, education, social capital, healthcare utilization, and living conditions. Most indicators reflect the current status at the time of the survey, while some indicators recall the past 12 months, 1 month, 1 week, or the period from the first half of 2017 to 2022. The data file mainly includes family structure type (single-person households, young and middle-aged couple households, elderly couple households, two-generation households, multigenerational households), deprivation scores for each dimension, and control variables (household consumption expenditure, government subsidies, medical assistance, inclusive commercial health insurance, high-cost medical expenses, former impoverished household status, debt, subjective economic status, relatives' or friends' residence and official positions, etc.).
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Deprivation scores are continuous variables, with higher values indicating more severe deprivation, and binary indicators use 0 for not deprived and 1 for deprived. All respondents signed informed consent forms, and data analysis was performed using Stata 14.0.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.012ct ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Demography 74%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.012ct | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4403 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |