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Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis

This study examines the relationship between criminal activities and the multi-macroeconomic factors of economic growth, unemployment, poverty, population and inflation in Malaysia from 1980 to 2013. The ARDL bounds testing of the level relationship was used to establish the long-run relation, and t...

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Main Authors: Dullah Mulok, Mori Kogid, Rozilee Asid, Jaratin Lily
Format: Article
Language:English
English
Published: 2018
Subjects:
HB Economic theory. Demography
HV Social pathology. Social and public welfare. Criminology
Online Access:https://eprints.ums.edu.my/id/eprint/24878/1/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis.pdf
https://eprints.ums.edu.my/id/eprint/24878/7/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis1.pdf
https://eprints.ums.edu.my/id/eprint/24878/
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spelling my.ums.eprints.248782021-04-19T04:53:00Z https://eprints.ums.edu.my/id/eprint/24878/ Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis Dullah Mulok Mori Kogid Rozilee Asid Jaratin Lily HB Economic theory. Demography HV Social pathology. Social and public welfare. Criminology This study examines the relationship between criminal activities and the multi-macroeconomic factors of economic growth, unemployment, poverty, population and inflation in Malaysia from 1980 to 2013. The ARDL bounds testing of the level relationship was used to establish the long-run relation, and the Toda-Yamamoto Augmented VAR approach was used to test the short-run impact based on partial Granger non-causality analysis. Empirical results suggest that economic growth, inflation, poverty and population are significant factors affecting criminal activities in Malaysia with economic growth and poverty recording positive effects, whereas negative effects were recorded for inflation and population in the long-term. Further investigation using Granger non-causality analysis revealed that only population does Granger caused the criminal activities in the short-run. The findings provide useful information for policymakers to strengthen the existing crime-related policies in order to improve safety and security while maintaining economic sustainability in Malaysia. 2018-12 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/24878/1/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis.pdf text en https://eprints.ums.edu.my/id/eprint/24878/7/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis1.pdf Dullah Mulok and Mori Kogid and Rozilee Asid and Jaratin Lily (2018) Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis. Journal of International Business, Economics and Entrepreneurship, 3 (2). pp. 55-66. ISSN 2550-1429
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic HB Economic theory. Demography
HV Social pathology. Social and public welfare. Criminology
spellingShingle HB Economic theory. Demography
HV Social pathology. Social and public welfare. Criminology
Dullah Mulok
Mori Kogid
Rozilee Asid
Jaratin Lily
Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
description This study examines the relationship between criminal activities and the multi-macroeconomic factors of economic growth, unemployment, poverty, population and inflation in Malaysia from 1980 to 2013. The ARDL bounds testing of the level relationship was used to establish the long-run relation, and the Toda-Yamamoto Augmented VAR approach was used to test the short-run impact based on partial Granger non-causality analysis. Empirical results suggest that economic growth, inflation, poverty and population are significant factors affecting criminal activities in Malaysia with economic growth and poverty recording positive effects, whereas negative effects were recorded for inflation and population in the long-term. Further investigation using Granger non-causality analysis revealed that only population does Granger caused the criminal activities in the short-run. The findings provide useful information for policymakers to strengthen the existing crime-related policies in order to improve safety and security while maintaining economic sustainability in Malaysia.
format Article
author Dullah Mulok
Mori Kogid
Rozilee Asid
Jaratin Lily
author_facet Dullah Mulok
Mori Kogid
Rozilee Asid
Jaratin Lily
author_sort Dullah Mulok
title Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
title_short Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
title_full Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
title_fullStr Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
title_full_unstemmed Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis
title_sort multi-factor crime in malaysia, 1980 – 2013: bounds testing of level relationships and granger non-causality analysis
publishDate 2018
url https://eprints.ums.edu.my/id/eprint/24878/1/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis.pdf
https://eprints.ums.edu.my/id/eprint/24878/7/Multi-Factor%20Crime%20in%20Malaysia%2C%201980%20%E2%80%93%202013%20Bounds%20Testing%20of%20Level%20Relationships%20and%20Granger%20Non-Causality%20Analysis1.pdf
https://eprints.ums.edu.my/id/eprint/24878/
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score 13.211869

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