Normative, Social, and Calculated Motivations for Compliance: Marine Facilities and Water PollutionEPA Grant Number: R828825
Title: Normative, Social, and Calculated Motivations for Compliance: Marine Facilities and Water Pollution
Investigators: May, Peter J.
Institution: University of Washington
EPA Project Officer: Lee, Sonja
Project Period: June 16, 2001 through June 15, 2004
Project Amount: $227,303
RFA: Corporate Environmental Performance and the Effectiveness of Government Interventions (2000) RFA Text | Recipients Lists
Research Category: Economics and Decision Sciences
Description:This research addresses differing motivations to comply with environmental regulations. The central policy issues are how compliance and adoption of best practices can be improved. The research objectives are to: (1) test key hypotheses about the role of different motivations in shaping compliance with environmental regulations and adoption of best practices; (2) test key hypotheses about the influence of different regulatory enforcement approaches and assistance on compliance motivations; and (3) draw implications for improving compliance with environmental regulations and adoption of best practices.
Approach:Hypotheses will be examined for the compliance of coastal marine facilities in California and Washington states with regulations and best practice guidelines concerning both point and nonpoint sources of water pollution. Key contrasts will be drawn between behaviors of operators of boatyards (point sources of pollution subject to NPDES regulations) and operators of marinas (both point and nonpoint sources of pollution typically subject to voluntary measures), among the enforcement and compliance assistance actions of California and Washington states, and among differing contexts for pollution control and abatement.
Data will be collected from separate mail-out surveys to boatyard and marina operators in coastal areas of California and Washington, in-person data collection at selected facilities, and interviews and document collection from enforcement personnel at the state level and within regional enforcement offices in California and Washington. Analyses will include aggregate comparisons of compliance behaviors associated with different types of facilities, ownership and size, and different enforcement and compliance assistance approaches. Research hypotheses addressing variation in compliance behaviors and variation in compliance motivations will be tested using multivariate statistical modeling.