Results 91 to 100 of about 1,912,183 (243)
Public opinion and policy on crime prevention in Europe [PDF]
In this second monitor report the focus is put on people’s perceptions and attitudes on the one hand, and on priorities in crime prevention policies across Europe on the other hand.
Klima, Noel, Wijckmans, Belinda
core +1 more source
ABSTRACT The aim of this study is to examine the impact of corruption control, as a public institutional mechanism, on hazardous waste emissions of private sector entities. We also examine the extent to which Agenda 2030 moderates the relationship. We analyse data from the top 500 global companies.
Babajide Oyewo +3 more
wiley +1 more source
ABSTRACT This study investigates the relationship between financial constraints and a firm's sustainability performance. Our empirical analysis utilises a panel of 40,445 observations from 9466 listed non‐financial firms across 44 countries, spanning the period from 2002 to 2019.
Boying Xu +2 more
wiley +1 more source
Cameron’s crime speech was a delicate balancing act ofburnishing the Prime Minister’s credibility and keeping asmany key constituencies as possible onside whilst doing so [PDF]
Tim Newburn analyses David Cameron's recent speech on crime and argues that it was not really about moving the debate on but aimed at grabbing headlines and enhancing the image of the Prime Minister.
Newburn, Tim
core
ABSTRACT This study examined how male rape myths, racial/ethnicity biases, and sexuality stereotypes influence verdicts in male‐on‐male rape trials—an area that is currently under‐researched. A sample of 463 participants read a mock rape trial, where both the defendant and complainant were male, with defendant ethnicity (White, Black, Asian) and ...
Lee J. Curley +3 more
wiley +1 more source
School Survey on Crime and Safety (SSOCS), 2006
United States Department Of Education. Institute Of Education Sciences. National Center For Education Statistics
openalex +1 more source
ABSTRACT As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests).
Danielle J. Rieger +2 more
wiley +1 more source

