All Research

Nur Farah Zafirah Zulkiflee · Nurbaizura Borhan · Mohd Fikri Hadrawi ·Pertanika Journal of Social Science and Humanities ·2022

An increase in the crime rate may jeopardize a country’s development and economic growth. Thus, understanding the relationship between crime and a few determinants is crucial in sustaining the economic growth in Malaysia. The four determinants used in this research are economic growth, population, education level, and inflation rate. The data covers the period from 1984 to 2019, and Autoregressive Distributed Lag (ARDL) modeling approaches were used in this research. The findings showed that only the population has a significant positive impact on crime rates for long-term and short-term relationships. Meanwhile, economic growth and education level have a significant long-term positive effect on the crime rate. On the other hand, the inflation rate did not significantly impact the crime rate in long-term and short-term relationships. Interestingly, it was found in the findings that the crime rate and population showed a bidirectional causal relationship indicating that the past population values are useful for a better prediction of the current crime rate and vice versa. Thus, the Malaysian government should encourage people to cooperate with the enforcement authorities to deter crime for future environmental safety effectively.

Tharshini Sivabalan · Faizah Haji Mas’ud · Dolly Paul Carlo ·Pertanika Journal of Social Science and Humanities ·2022

Individuals with disabilities are highly exposed to mate crime victimisation than their non-disabled counterparts. This research aims to identify mate crime victimisation among people with disabilities in Sarawak, Malaysia. Data was quantitatively collected among 151 respondents from various governmental and non-governmental organisations in Kuching, Kota Samarahan, and Asajaya that provide residential care, medical attention, training, work opportunities, basic education, and rehabilitation for individuals with disabilities. It was found that most respondents (females between 18 and 28 years old) experienced mate crime victimisation, particularly financial abuse (F₂‚₁₄₈ = 5.905, p = .003) and sexual abuse (F₂‚₁₄₈ = 10.234, p = .001). It is deemed important to identify mate crime victimisation against such individuals with sufficient proof to enable law enforcement agencies and policymakers to develop optimal approaches and programmes that complement the needs of individuals with disabilities and alleviate potential mate crime victimisations.

Rusli Latimaha · Zakaria Bahari · Nor Asmat Ismail ·Jurnal Ekonomi Malaysia ·2019

In this paper, the authors use dynamic panel data in order to assess the linkages between the cost of living, income inequality, gross domestic product (GDP) per capita, population and unemployment rate with respect to the street crime rate in Malaysia. More specifcally, the investigation considers whether the following could be capable of generating any difference in the crime rate observed across many types of street crime. The F-test, Breusch-Pagan Lagrange Multiplier test and Hausman tests affrm the most preferred model to explain criminal behaviour is by using Fixed Effects Model almost for all types of street crime. The fndings of the estimated coeffcients reveal that the cost of living is negatively related to all street crime types and not signifcant as well as unemployment rate. There is a motivation towards street crime not to earn a living or jobless, but other motivating push factors that relate to the personalities of the offenders such as drug addiction. Moreover, income inequality is only signifcant in terms of total street crime and unarmed robbery gang estimation models as well as GDP per capita and population in snatch and theft estimation models. Interestingly, we extend the by changing the defnition of crime into percentage and the results show that the cost of living is signifcant with the correct sign and has a positive relationship with all types of street crime rates except for snatch and theft estimation models. The GDP per capita is also a main infuencer on all types of street crime rates and has a negative relationship. Finally, the unemployment rate is only signifcant in the unarmed robbery estimation models and has a positive relationships as well as income inequality variable in total street crime and unarmed robbery gang estimation models. This street crime has been shown to be sensitive to the change in unemployment rate and income inequality and also have positive linkages.

Caglar Ozden · Mauro Testaverde · Mathis Wagner ·The World Bank Economic Review ·2018 ·JEL: F22; K42

The perception that immigration fuels crime is an important source of anti-immigrant sentiment. Using Malaysian data for 2003-10, this paper provides estimates of the overall impact of economic immigration on crime, and evidence on different socio-economic mechanisms underpinning this relationship. The IV estimates suggest that immigration decreases crime rates, with an elasticity of around −0.97 for property and -1.8 violent crimes. Three-quarters of the negative causal relationship between immigration and property crime rates can be explained by the impact of immigration on the underlying economic environment faced by natives. The reduction in violent crime rates is less readily explained by these factors.