Data Sheet 1_Does green industrialization enhance urban industrial chain resilience? Evide

Panel data from 281 Chinese cities between 2005 and 2022, used to analyze the impact of Green Industrial Parks on urban industrial chain resilience. The study by Yihao Wang applies a double machine learning approach to a quasi-natural experiment. The dataset was last updated on 2026-06-01 and is shared under a CC-BY-4.0 license.

Use Cases

• Estimating the causal effect of green place-based policies on industrial chain resilience using a double machine learning approach.
• Conducting heterogeneity analysis based on city characteristics like openness, digital economy level, and AI computing power.
• Analyzing the mechanisms through which green technological innovation and industrial structure optimization mediate policy impacts.

Strengths

• Data covers a specific 18-year time range from 2005 to 2022.
• Analysis is based on a panel of 281 Chinese cities, providing broad geographic coverage.
• The study design treats policy establishment as a quasi-natural experiment, which suggests a structured causal inference approach.

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 small (230.2 KB), indicating it likely contains summary or model results rather than raw observational data.

Provenance

Source

Yihao Wang via figshare

Collection Method

Likely compiled from official Chinese city-level statistics and policy records for a quasi-natural experiment analysis.

Time Range

2005 to 2022

Freshness

Last updated 2026-06-01 04:18:55; freshness should be verified.

Geography

281 cities in China