<p>Results of Robustness Test I.</p>

Panel data from 284 Chinese cities from 2011 to 2022 was used to construct two-way fixed-effects and multivariate moderation models. The study empirically analyzes the effect of New Urbanization (NEU) on the quantity and quality of urban green innovation (GI). The dataset, shared by Liang Fang on figshare under a CC-BY-4.0 license, contains results from this robustness test.

Use Cases

• Analyzing the relationship between New Urbanization and green innovation quantity based on city-level panel data.
• Investigating the moderating role of digital inclusive finance on urban green innovation quality as described in the study.
• Examining threshold effects of government green support on New Urbanization's influence as mentioned in the analysis.
• Replicating or extending the empirical models (two-way fixed-effects, multivariate moderation) used in the original research.

Strengths

• Data covers a 12-year time range from 2011 to 2022.
• Analysis is based on panel data from 284 cities, providing a substantial geographic scope.
• Results include statistically significant coefficients at the 0.01 level for key relationships.

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 (9.5 KB), suggesting it contains summary results rather than the underlying raw city data.

Provenance

Source

figshare, author Liang Fang.

Collection Method

Likely compiled from statistical yearbooks or official city data for model construction.

Time Range

2011 to 2022

Freshness

Last updated 2026-05-19 17:27:30; freshness should be verified.

Geography

284 cities in China