Debunking conventional wisdom: Higher tertiary education levels could lead to more property crimes in Malaysia Article Swipe
Mohd Shahidan Shaari
,
Nor Hidayah Harun
,
Miguel Angel Esquivias
,
Mohd Juraij Abd Rani
,
Zaharah Zainal Abidin
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/23311886.2023.2245638
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/23311886.2023.2245638
This study examines the relationship between tertiary education and property crime in Malaysia from 1982 to 2020 using the ARDL approach. The study is motivated by the concern that underpaid individuals with higher education may resort to property crime. Results reveal that the female labour force is positively associated with burglary in the short run. Furthermore, income per capita is also found to be another contributing factor to property crime. Increased income levels and improvements in welfare schemes can contribute to reduced crime rates. Interestingly, the study finds that more individuals with tertiary education are associated with higher property crime rates. Property crime can flourish when the skills and qualifications of highly educated job seekers do not match labour needs or when suitable employment opportunities are scarce. Enhancing job quality, ensuring fair wages, appropriate job matching, and promoting a well-balanced employment environment may discourage highly educated individuals from turning to crime. Moreover, imprisonment does not act as a deterrent for property crime. The findings may be relevant for curbing property crime in other developing countries experiencing a rise in tertiary education, sluggish income growth, and low female labour participation.
Related Topics
Concepts
Property crime
Seekers
Welfare
Imprisonment
Demographic economics
Labour economics
Per capita income
Higher education
Economics
Property (philosophy)
Matching (statistics)
Economic growth
Business
Violent crime
Criminology
Political science
Sociology
Law
Market economy
Philosophy
Epistemology
Mathematics
Statistics
Demography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/23311886.2023.2245638
- https://www.tandfonline.com/doi/pdf/10.1080/23311886.2023.2245638?needAccess=true&role=button
- OA Status
- gold
- Cited By
- 6
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385877967
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385877967Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/23311886.2023.2245638Digital Object Identifier
- Title
-
Debunking conventional wisdom: Higher tertiary education levels could lead to more property crimes in MalaysiaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-16Full publication date if available
- Authors
-
Mohd Shahidan Shaari, Nor Hidayah Harun, Miguel Angel Esquivias, Mohd Juraij Abd Rani, Zaharah Zainal AbidinList of authors in order
- Landing page
-
https://doi.org/10.1080/23311886.2023.2245638Publisher landing page
- PDF URL
-
https://www.tandfonline.com/doi/pdf/10.1080/23311886.2023.2245638?needAccess=true&role=buttonDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.tandfonline.com/doi/pdf/10.1080/23311886.2023.2245638?needAccess=true&role=buttonDirect OA link when available
- Concepts
-
Property crime, Seekers, Welfare, Imprisonment, Demographic economics, Labour economics, Per capita income, Higher education, Economics, Property (philosophy), Matching (statistics), Economic growth, Business, Violent crime, Criminology, Political science, Sociology, Law, Market economy, Philosophy, Epistemology, Mathematics, Statistics, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
79Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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