Regression results from an instrumental variable two-stage least squares analysis of rural population aging's impact on agricultural green development in China. The data likely contains coefficients and statistical metrics from models using China Family Panel Studies data from 2018, 2020, and 2022. The dataset was authored by Lina Xu and last updated on May 26, 2026.
Use Cases
- Analyzing the relationship between household aging and agricultural green development based on regression coefficients.
- Comparing regional impacts (western vs. central/eastern China) on agricultural output based on the described regional analysis.
- Investigating the mediating role of agricultural socialized services on chemical inputs and output based on the described mechanisms.
- Modeling the effects of service prices on farmland abandonment and traditional practices based on the described findings.
Strengths
- The analysis uses a specific statistical method (IV-2SLS) mentioned in the description.
- The dataset is based on survey data from three distinct years (2018, 2020, 2022).
- The benchmark regression provides a concrete coefficient (-0.346) for the impact of aging on AGD.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is very small (5.5 KB), suggesting limited scope.
Provenance
- Source
- China Family Panel Studies
- Collection Method
- Instrumental variable two-stage least squares (IV-2SLS) regression analysis.
- Time Range
- 2018, 2020, 2022
- Freshness
- Last updated 2026-05-26 17:32:54; freshness should be verified.
- Geography
- China, with regional focus on western, central, and eastern areas.