<p>Benchmark regression results.</p>

Lina Xu's dataset contains benchmark regression results analyzing the impact of rural population aging on agricultural green development in China. The data likely originates from the China Family Panel Studies conducted in 2018, 2020, and 2022 and was analyzed using instrumental variable two-stage least squares methods. The file is 5.5 KB in size and was last updated on 2026-05-26.

Use Cases

• Analyzing the relationship between household age composition and agricultural green development based on regression coefficients.
• Comparing regional disparities in aging impacts on agricultural output between western, central, and eastern China.
• Evaluating the mitigating role of agricultural socialized services on chemical inputs and farmland abandonment.
• Modeling the effect of service price changes on farmer behavior and traditional practices.

Strengths

• Analysis spans three survey waves (2018, 2020, 2022), providing a multi-year perspective.
• Benchmark regression provides a specific coefficient (-0.346) for the impact of aging on AGD.
• Results differentiate impacts by region (western, central, eastern) and by benefit type (economic vs. environmental).

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), indicating limited scope or summary-level data.

Provenance

Source

China Family Panel Studies

Collection Method

Instrumental variable two-stage least squares (IV-2SLS) analysis.

Time Range

2018, 2020, 2022

Freshness

Last updated 2026-05-26 17:32:53; freshness should be verified.

Geography

China, with regional focus on western, central, and eastern areas.