Impact of Land Regulation on Carbon Emissions in 230 Chinese Cities, 2006-2022

An unbalanced panel dataset of 3,566 observations from 230 prefecture-level cities in China from 2006 to 2022. The data, authored by Jingyang Lan and shared on figshare, examines the impact of government land supply, purpose, and intensity regulation on city-level carbon emission intensity. It includes results from mediation tests, moderation tests, and regional heterogeneity analysis.

Use Cases

• Modeling the relationship between land supply regulation and carbon emission intensity based on the described beta coefficients.
• Analyzing regional heterogeneity in the effects of land regulation policies as mentioned in the results.
• Investigating the moderating role of industrial structure upgrading on pathways from land regulation to corporate strategy.
• Conducting robustness checks on the mechanisms linking government policy to environmental outcomes.

Strengths

• Covers a 17-year time range from 2006 to 2022.
• Includes data from 230 prefecture-level cities, resulting in 3,566 observations.
• Employs multiple statistical models (CRE, fixed effects, GMM) as described in the methods.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the underlying data tables, which may limit suitability assessment.
• The dataset is very small (122.0 KB), suggesting limited raw data or a focus on summary results.

Provenance

Source

figshare, author Jingyang Lan.

Collection Method

Analysis of an unbalanced panel of Chinese city data using correlated random effects, two-way fixed effects, and system GMM models.

Time Range

2006 to 2022

Freshness

Last updated 2026-04-28 04:28:56; freshness should be verified.

Geography

230 prefecture-level cities in China