CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Street-based corruption in the Philippines: Exploring kotong frame alignments between enforcers and motorists in a city in Metro Manila
Authors
John Andrew
Hannah Frances C. Bodegon
+5 more
Janessa Polly J. Esber
Jon Christian A. Fernando
C. Guevarra Guevarra
Charles Daniell B. Valeriano
Prince Aian G. Villanueva
Publication date
1 January 2017
Publisher
Animo Repository
Abstract
Corruption is a pervasive problem in the Philippines. Previous studies have focused on institutions and culture as factors behind the persistence of corruption in the country. Moreover, the emphasis has been on corruption that occurs within the bureaucracy. In this qualitative, exploratory study, we explored the possibility of the shared understanding, the frame alignments between the local state authorities and drivers as a possible explanation behind the persistence of street-based form of corruption known as kotongan or kotong. Based on the interviews conducted, results showed that there is a shared understanding between state authorities and drivers as to what kotong is, the benefits they derive from the transaction, and the factors behind the acceptance of kotong. © Penerbit Universiti Sains Malaysia, 2017
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Repository@USM
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:generic.eprints.org:41267/...
Last time updated on 14/05/2019
Animo Repository - De La Salle University Research
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:animorepository.dlsu.edu.p...
Last time updated on 03/12/2021