Agricultural Productivity and Grain Resilience in China 2012-2022

Panel data from 30 Chinese provinces from 2012 to 2022 measures agricultural new quality productive forces and grain production resilience using the entropy method. The dataset supports an empirical study on the driving effect and mechanisms of these forces on resilience, including mediation and heterogeneity analyses.

Use Cases

• Analyze the relationship between agricultural new quality productive forces and grain production resilience scores across 30 provinces.
• Examine the mediating role of agricultural labor productivity in the impact of new productive forces on resilience.
• Conduct heterogeneity analysis to compare the enabling effect of new productive forces between eastern China and grain production-consumption balanced areas.
• Test robustness of findings using one-period lag processing, Winsorization, and exclusion of municipalities directly under the Central Government.

Strengths

• 11-year temporal coverage from 2012 to 2022 provides a longitudinal panel.
• Geographic coverage includes data from 30 provinces in China.
• Analysis includes specific metrics like a 10.82% mediation effect for agricultural labor productivity.
• Dataset is associated with a published research framework and empirical methodology.

Limitations

• Small file size of 43.0 KB suggests a limited scope, likely containing aggregated or summary statistics rather than raw, high-volume data.
• Unknown row and column counts prevent assessment of dataset granularity and feature richness.
• Focus is exclusively on China, limiting generalizability to other agricultural contexts.

Provenance

Source

Wei Liu via figshare.

Collection Method

Constructed from provincial panel data, with levels of agricultural new quality productive forces and grain production resilience measured using the entropy method.

Time Range

2012 to 2022.

Freshness

Data covers up to 2022, with the record last updated in 2026.

Geography

30 provinces in China.