A Comment on "Informed Enforcement: Lessons from Pollution Monitoring in China" by Sebastian Axbard and Zichen Deng

Andrea La Nauze and Tze Yong Tan

No 144, I4R Discussion Paper Series from The Institute for Replication (I4R)

Abstract: Axbard and Deng (2024) exploit the rollout of new pollution monitors in China in 2015 in 177 medium-size cities to study the effect of air-quality monitors on enforcement actions by local governments and air quality. In their main difference-in-difference analysis, they identify the change in the probability of enforcement for firms that are close to versus further away from the monitor. They find that being within 10km of a monitor increases the probability that a firm receives any enforcement action by 0.0033 (standard error 0.00056) relative to a mean of 0.0046. Computationally, we successfully reproduce the main claims of the paper. We observe minor coding anomalies that do not have a material impact. We find that the main result on all enforcement is robust to all robustness checks: (1) randomization inference (2) alternative fixed effects and (3) multiple hypothesis testing.

Keywords: Replication; Reproducibility; Robustness; Accountability; Regulatory Enforcement; Pollution; China (search for similar items in EconPapers)
JEL-codes: K32 L51 O13 P25 P28 Q52 Q53 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-cna and nep-law
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/302050/1/I4R-DP144.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:i4rdps:144

Access Statistics for this paper

More papers in I4R Discussion Paper Series from The Institute for Replication (I4R)
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().