Impact of Rural Population Aging on Agricultural Green Development in China, 2018-2022

Analysis of heterogeneity regression results from the China Family Panel Studies conducted in 2018, 2020, and 2022. The dataset likely contains results from an instrumental variable two-stage least squares (IV-2SLS) method analyzing the impact and mechanisms of rural population aging on agricultural green development from a micro-level perspective of farmers. It was authored by Lina Xu and last updated on 2026-05-26.

Use Cases

• Analyze the impact of household older adult proportion on agricultural green development based on the benchmark regression results.
• Compare regional heterogeneity effects on agricultural output between western, central, and eastern regions.
• Study the mitigating role of agricultural socialized services adoption on chemical inputs and farmland abandonment.
• Model the relationship between service prices and farmer behavior regarding land use.
• Assess policy implications for mechanisms to curb farmland abandonment and enhance service accessibility for older adults.

Strengths

• Dataset is based on the China Family Panel Studies, a longitudinal survey.
• Analysis spans three survey waves conducted in 2018, 2020, and 2022.
• Results include a specific benchmark regression coefficient (0.346) for the impact of aging on AGD.
• The study employs the IV-2SLS method to address potential endogeneity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), suggesting it contains summary results rather than raw survey data.

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 17:32:58; freshness should be verified.

Geography

China, with regional comparisons (western, central, eastern).