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

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...

Full description

Bibliographic Details
Main Authors: Mulok, Dullah, Kogid, Mori, Asid, Rozilee, Lily, Jaratin
Format: Article
Language:English
Published: Faculty of Business and Management ; UiTM Press 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/23202/
http://ir.uitm.edu.my/id/eprint/23202/
http://ir.uitm.edu.my/id/eprint/23202/1/AJ_DULLAH%20MULOK%20JIBE%20B%2018.pdf.pdf
id uitm-23202
recordtype eprints
spelling uitm-232022019-02-25T02:31:24Z http://ir.uitm.edu.my/id/eprint/23202/ 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 Mulok, Dullah Kogid, Mori Asid, Rozilee Lily, Jaratin Macroeconomics Consumption. Demand (Economic theory) 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. Faculty of Business and Management ; UiTM Press 2018-12 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/23202/1/AJ_DULLAH%20MULOK%20JIBE%20B%2018.pdf.pdf Mulok, Dullah and Kogid, Mori and Asid, Rozilee and Lily, Jaratin (2018) 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. Journal of International Business, Economics and Entrepreneurship (JIBE), 3 (2). pp. 55-66. ISSN 2550-1429 (Submitted) https://jibe.uitm.edu.my/
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Macroeconomics
Consumption. Demand (Economic theory)
spellingShingle Macroeconomics
Consumption. Demand (Economic theory)
Mulok, Dullah
Kogid, Mori
Asid, Rozilee
Lily, Jaratin
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
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 Mulok, Dullah
Kogid, Mori
Asid, Rozilee
Lily, Jaratin
author_facet Mulok, Dullah
Kogid, Mori
Asid, Rozilee
Lily, Jaratin
author_sort Mulok, Dullah
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Faculty of Business and Management ; UiTM Press
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/23202/
http://ir.uitm.edu.my/id/eprint/23202/
http://ir.uitm.edu.my/id/eprint/23202/1/AJ_DULLAH%20MULOK%20JIBE%20B%2018.pdf.pdf
first_indexed 2023-09-18T23:10:17Z
last_indexed 2023-09-18T23:10:17Z
_version_ 1777418755947626496