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Replication Data for: How Do Industrial Plants Respond to Short-Term Environmental Regulations? Evidence from China's Air Quality Alerts

By Ce Jia, Han Li, Yazhen Gong and Wenjiang Zhao · as credited by the source

Published 2026-08-23

Deposited on Zenodo doi:10.5281/zenodo.22063455 licence cc-by-4.0 1 file, 910.2 MB
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About this dataset

This replication package contains the data, Stata code, output files, and log files required to reproduce the empirical results in the manuscript “How Do Industrial Plants Respond to Short-Term Environmental Regulations? Evidence from China’s Air Quality Alerts,” conditionally accepted for publication in Environmental and Resource Economics . The package covers the regression discontinuity in time analyses, event-study/difference-in-differences analyses, environmental inspection analyses, and the robustness and heterogeneity tests reported in the manuscript and online appendi …

Air quality alertsIndustrial emissionsRegression discontinuity in timeAlert fatigueChina

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Cite

@dataset{jia2026,
  title     = {Replication Data for: How Do Industrial Plants Respond to Short-Term Environmental Regulations? Evidence from China's Air Quality Alerts},
  author    = {Jia, Ce and Li, Han and Gong, Yazhen and Zhao, Wenjiang},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.22063455},
  url       = {https://doi.org/10.5281/zenodo.22063455}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Economics
Method family
Empirical (quantitative)Replication
Design
Regression discontinuity
Research stage
Data acquisition
Contributors
Ce Jia (Data curation); Han Li (Data curation); Yazhen Gong (Data curation); Wenjiang Zhao (Data curation)
Usage
not used in published research yet
Source
Zenodo
Record
dataset:zenodo/22063455 · JSON

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