Should You Turn Yourself In? The Consequences of Environmental Self-Policing
Sarah Stafford ()
Additional contact information
Sarah Stafford: Department of Economics, College of William and Mary
No 27, Working Papers from Department of Economics, College of William and Mary
Abstract:
Facilities that self-police under the Environmental Protection AgencyÕs Audit Policy are eligible for reduced penalties on disclosed violations. This paper investigates whether self- policing has additional consequences, in particular whether self-policing reduces future enforcement activity. Using data on U.S. hazardous waste enforcement and disclosures, I find that facilities that self-police are rewarded with a lower probability of inspection in the future, although facilities with good compliance records may receive a smaller benefit than facilities with poor records. Additionally, facilities that are inspected frequently are more likely to disclose than facilities that face a low probability of inspection. The results suggest that facilities may be able to strategically disclose in order to decrease future enforcement.
Keywords: Self-Policing; Enforcement; Targeting; Compliance; Hazardous Waste (search for similar items in EconPapers)
JEL-codes: K32 K42 Q52 Q58 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2006-02-23, Revised 2006-09-08
New Economics Papers: this item is included in nep-acc, nep-law and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://economics.wm.edu/wp/cwm_wp27rev2.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:cwm:wpaper:27
Access Statistics for this paper
More papers in Working Papers from Department of Economics, College of William and Mary Contact information at EDIRC.
Bibliographic data for series maintained by Daifeng He ( this e-mail address is bad, please contact ) and Alfredo Pereira ().