Pockets of poverty in the northern states of Malaysia
Despite Malaysia’s tremendous economic growth and remarkable achievement in poverty reduction for the nation, pockets of poverty remain in certain regions. Pockets of poverty could be analysed using micro data when macro data is unable to provide a clear understanding on the existence of pover...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2018
|
Online Access: | http://journalarticle.ukm.my/13266/1/29094-89085-1-PB.pdf http://journalarticle.ukm.my/13266/ http://ejournals.ukm.my/gmjss/issue/view/1144 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-ukm.journal.13266 |
---|---|
record_format |
eprints |
spelling |
my-ukm.journal.132662019-08-08T21:45:15Z http://journalarticle.ukm.my/13266/ Pockets of poverty in the northern states of Malaysia Saidatulakmal Mohd, Nur Azirah Zahida Mohamad Azhar, Nurul Syifaa Mohd Shakil, Abdelhak Senadjki, Mohammad Darabi Golshani Iran, Despite Malaysia’s tremendous economic growth and remarkable achievement in poverty reduction for the nation, pockets of poverty remain in certain regions. Pockets of poverty could be analysed using micro data when macro data is unable to provide a clear understanding on the existence of poverty. This study assesses the pockets of poverty in the Northern States of Malaysia. Northern States of Malaysia consist of Perlis, Kedah, Penang and Perak. The objectives of this paper are twofold: to identify pockets of poverty in the Northern States of Malaysia using household income data and to determine the factors that affect these pockets of poverty. Pockets of poverty in this region are investigated among strata, ethnic groups, income level and education. For this purpose, the National Poverty Line Income (PLI) is determined to specify the poor. Logistic probability function is estimated to assess factors that influenced poverty in the Northern States of Malaysia. This study uses the Household Income Survey (HIS) data for 2009 and 2012. From data analysis, it could be concluded that pockets of poverty exist among elderly, women, Bumiputera and those living in the rural areas. Logistic probability analysis indicates that variables that are statistically significant in influencing poverty are age, gender, location, education level, Chinese (ethnic group) and married (marital status). These findings are vital to develop appropriate policy orientation in targeting the correct group in solving poverty. Penerbit Universiti Kebangsaan Malaysia 2018-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13266/1/29094-89085-1-PB.pdf Saidatulakmal Mohd, and Nur Azirah Zahida Mohamad Azhar, and Nurul Syifaa Mohd Shakil, and Abdelhak Senadjki, and Mohammad Darabi Golshani Iran, (2018) Pockets of poverty in the northern states of Malaysia. Geografia : Malaysian Journal of Society and Space, 14 (4). pp. 238-249. ISSN 2180-2491 http://ejournals.ukm.my/gmjss/issue/view/1144 |
institution |
Universiti Kebangsaan Malaysia |
building |
Perpustakaan Tun Sri Lanang Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Kebangsaan Malaysia |
content_source |
UKM Journal Article Repository |
url_provider |
http://journalarticle.ukm.my/ |
language |
English |
description |
Despite Malaysia’s tremendous economic growth and remarkable achievement in poverty
reduction for the nation, pockets of poverty remain in certain regions. Pockets of poverty
could be analysed using micro data when macro data is unable to provide a clear
understanding on the existence of poverty. This study assesses the pockets of poverty in the
Northern States of Malaysia. Northern States of Malaysia consist of Perlis, Kedah, Penang
and Perak. The objectives of this paper are twofold: to identify pockets of poverty in the
Northern States of Malaysia using household income data and to determine the factors that
affect these pockets of poverty. Pockets of poverty in this region are investigated among
strata, ethnic groups, income level and education. For this purpose, the National Poverty Line
Income (PLI) is determined to specify the poor. Logistic probability function is estimated to
assess factors that influenced poverty in the Northern States of Malaysia. This study uses the
Household Income Survey (HIS) data for 2009 and 2012. From data analysis, it could be
concluded that pockets of poverty exist among elderly, women, Bumiputera and those living
in the rural areas. Logistic probability analysis indicates that variables that are statistically
significant in influencing poverty are age, gender, location, education level, Chinese (ethnic
group) and married (marital status). These findings are vital to develop appropriate policy
orientation in targeting the correct group in solving poverty. |
format |
Article |
author |
Saidatulakmal Mohd, Nur Azirah Zahida Mohamad Azhar, Nurul Syifaa Mohd Shakil, Abdelhak Senadjki, Mohammad Darabi Golshani Iran, |
spellingShingle |
Saidatulakmal Mohd, Nur Azirah Zahida Mohamad Azhar, Nurul Syifaa Mohd Shakil, Abdelhak Senadjki, Mohammad Darabi Golshani Iran, Pockets of poverty in the northern states of Malaysia |
author_facet |
Saidatulakmal Mohd, Nur Azirah Zahida Mohamad Azhar, Nurul Syifaa Mohd Shakil, Abdelhak Senadjki, Mohammad Darabi Golshani Iran, |
author_sort |
Saidatulakmal Mohd, |
title |
Pockets of poverty in the northern states of Malaysia |
title_short |
Pockets of poverty in the northern states of Malaysia |
title_full |
Pockets of poverty in the northern states of Malaysia |
title_fullStr |
Pockets of poverty in the northern states of Malaysia |
title_full_unstemmed |
Pockets of poverty in the northern states of Malaysia |
title_sort |
pockets of poverty in the northern states of malaysia |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2018 |
url |
http://journalarticle.ukm.my/13266/1/29094-89085-1-PB.pdf http://journalarticle.ukm.my/13266/ http://ejournals.ukm.my/gmjss/issue/view/1144 |
_version_ |
1643739026952290304 |
score |
13.1944895 |