Midlands State University Library

Environmental Regulation and Enforcement (Record no. 162263)

MARC details
000 -LEADER
fixed length control field 01835nam a22002777a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230522121728.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230522b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name RIVERS, L
245 ## - TITLE STATEMENT
Title Environmental Regulation and Enforcement
Remainder of title Structures, Processes and the Use of Data for Fraud Detection
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London
Name of producer, publisher, distributor, manufacturer Imperial College Press
Date of production, publication, distribution, manufacture, or copyright notice 2015
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Journal of Environmental Assessment Policy and Management
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. Several major environmental programmes require regulated entities to measure and self-report pollutant levels to state regulatory agencies. This data is used to assess compliance, but critics suggest that it could be used more effectively to detect fraud in self-reports, a criminal offense. Efforts to develop and implement fraud detection tools are restricted by a lack of knowledge regarding how regulatory and enforcement systems operate in regulatory agencies and whether/how data is used, particularly for fraud detection. To address this gap in knowledge, we conducted a case study of these issues in one state environmental agency. We triangulate interview, focus group and observational data to describe the current system and assess points in the system in which data is being used. We draw upon organisational learning theory to suggest the ways to use data more effectively in the future, particularly to improve fraud detection.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element environmental enforcement
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element environmental regulation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element fraud detection
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name DEMPSEY, T
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name MITCHELL, J
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name GIBBS, C
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1142/S1464333215500337
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 22/05/2023 Vol.17 , No.4 (Dec 2015)   GE170 JOU 22/05/2023 22/05/2023 Journal Article For In House Use Only