China Family Panel Studies on Rural Aging and Agricultural Green Development, 2018-2022

Survey data from the China Family Panel Studies conducted in 2018, 2020, and 2022 analyzes the impact of rural population aging on agricultural green development. The dataset likely contains household-level variables, including the proportion of older adults, agricultural output, and chemical inputs. Author Lina Xu used instrumental variable two-stage least squares methods on this data.

Use Cases

• Analyze the relationship between household age structure and agricultural productivity based on the proportion of older adults variable.
• Model the mitigating effects of agricultural socialized services on farm output and chemical use.
• Compare regional disparities in aging impacts on agricultural green development between western, central, and eastern China.
• Investigate mechanisms linking population aging to farmland abandonment or transfer decisions.

Strengths

• Data spans three survey waves from 2018, 2020, and 2022, providing a multi-year panel.
• Benchmark regression results show a specific quantified impact: an increase in the proportion of older adults reduces agricultural green development by 0.346.
• The study employs the instrumental variable two-stage least squares method, suggesting a structured analytical approach.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the China Family Panel Studies source.

Provenance

Source

China Family Panel Studies

Collection Method

Survey data collected in 2018, 2020, and 2022.

Time Range

2018-2022

Freshness

Last updated 2026-05-26 17:32:50; freshness should be verified.

Geography

China, with analysis comparing western, central, and eastern regions.