Analyzing food security of the households: a case study in Malaysia using a logistic regression approach

Johari, Julia and Jamidin, Jaida Najihah (2025) Analyzing food security of the households: a case study in Malaysia using a logistic regression approach. In: Mathematics and Statistics Undergraduate Research Proceedings 2025. Universiti Teknologi MARA, Negeri Sembilan, pp. 356-363. ISBN 9786299595328

Abstract

Food security is a state where all households have access to sufficient, nutritious, and safe food, physically, socially, and economically. Despite being one of the highest palm oil-producing countries in Asia, Malaysia still shows inconsistent food security. Malaysia's growing population increases food demand but also raises challenges such as food insecurity, fuelled by low income, limited nutritional knowledge, and crisis such as COVID-19. To improve food security among households, the country needs to reduce imports, making food easier to access and affordable. Therefore, this study was conducted to identify the factors that contribute to food insecurity among Malaysians. Logistic regression was handled with independent variables which are gender of household head, household size, the income of the household, access to credit, age of household head, and level of education of household head towards food security. This study was carried out on Malaysian households. The result of this study revealed that only several variables namely household size, income of the household, and level of education contributed significantly to food security in Malaysia.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Johari, Julia
UNSPECIFIED
Jamidin, Jaida Najihah
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Food industry and trade. Halal food industry. Certification
Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Page Range: pp. 356-363
Keywords: Food security, logistic regression model
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/138633
Edit Item
Edit Item

Download

[thumbnail of 138633.pdf] Text
138633.pdf

Download (3MB)

ID Number

138633

Indexing

Statistic

Statistic details