<p>Threshold Effect Estimation Results.</p>

Panel data from 284 Chinese cities spanning 2011 to 2022 analyzes the impact of new urbanization on urban green innovation. The dataset contains results from two-way fixed-effects and multivariate moderation models, including threshold effect analysis. It was authored by Liang Fang and last updated on 2026-05-19.

Use Cases

• Estimating the threshold effect of government green support on new urbanization's impact based on the described analysis.
• Modeling the moderating role of digital inclusive finance on green innovation quantity and quality as indicated in the description.
• Analyzing the coupling interaction between digital finance and factors like government technology support or regional economic development.
• Replicating empirical analysis of new urbanization's effect on green innovation 'quantity increase' and 'quality improvement'.

Strengths

• Data covers 284 cities over a 12-year period (2011-2022).
• Analysis includes statistically significant coefficients at the 0.01 level for key relationships.
• Results are derived from two-way fixed-effects and multivariate moderation models.

Limitations

• The dataset is very small (5.5 KB), suggesting it contains only summary results, not the underlying panel data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains statistical estimation results from econometric models applied to city-level panel data.

Time Range

2011-2022

Freshness

Last updated 2026-05-19 17:27:38; freshness should be verified.

Geography

284 cities in China