Environmental Inspection Centralization and Firm Monitoring Data

Supplying replication materials for an academic study on environmental monitoring of firms, specifically investigating the impact of inspection centralization. The data supports analysis of air pollution and environmental economics using methods like synthetic control and machine learning. The dataset was authored by Bowen Liu and last updated in February 2026.

Use Cases

• Apply Synthetic Control methods to analyze the impact of inspection centralization on firm-level environmental outcomes.
• Use Machine Learning techniques to model relationships between inspection regimes and air pollution metrics.
• Conduct Environmental Economics research on firm monitoring and regulatory enforcement using the provided replication data.

Strengths

• Data is directly linked to a peer-reviewed academic paper, providing methodological context.
• Dataset is associated with established research topics including Air Pollution and Environmental Economics.
• Last update recorded as February 2026, indicating recent maintenance.

Limitations

• The specific data structure, including column names, row count, and file formats, is unknown.
• The dataset's scope, including temporal and geographic coverage, is not specified in the input.
• The dataset is a replication package, which may require specific statistical software or code to utilize fully.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Replication data and code for an academic paper.

Freshness

Last updated on 2026-02-23.