<p>Moderating Effects Results I.</p>

Liang Fang's dataset contains panel data from 284 Chinese cities spanning 2011 to 2022, used to analyze the effect of new urbanization on urban green innovation. The study employs two-way fixed-effects and multivariate moderation models to examine impacts on innovation quantity and quality. The dataset was last updated on 2026-05-19.

Use Cases

• Modeling the relationship between new urbanization and green innovation quantity based on city-level panel data.
• Analyzing the moderating effects of digital inclusive finance, government technology support, and informatization on green innovation quality.
• Investigating threshold effects of government green support on the urbanization-innovation relationship.
• Empirical policy analysis for coordinating new urbanization construction and green innovation development agendas.

Strengths

• Covers 284 cities over a 12-year period (2011-2022), providing longitudinal scope.
• Analysis results show statistically significant coefficients at the 0.01 level for key relationships.
• Released under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset is very small (9.5 KB), indicating it likely contains summary or model results rather than raw observational data.

Provenance

Source

Liang Fang via figshare.

Collection Method

Likely compiled from official Chinese city statistical yearbooks or reports for panel data analysis.

Time Range

2011 to 2022

Freshness

Last updated 2026-05-19 17:27:33; freshness should be verified.

Geography

284 cities in China