UPM Institutional Repository

A random effects model analysis of the factors contributing to food production worldwide


Citation

Abu Hassan Asari, Fadli Fizari and Abdullah, Norashikin and Ahmad, Noorazlina and Abdul Latif, Izzati and Muhamad, Nurul Afifah and Jusoff, Kamaruzaman (2011) A random effects model analysis of the factors contributing to food production worldwide. World Applied Sciences Journal, 12. pp. 22-26. ISSN 1818-4952; ESSN: 1991-6426

Abstract

Food is the substance eaten or drunk to provide nutrition for the body. Among problems faced in the food production industry are climate changes, lack of land for cultivation, inadequate resources, expensive high technology and also natural disaster. The objective of the study is to find the relevant factors that contribute more to the food production index. The relevant quantitative variables chosen for this study are Livestock Production Index, Agricultural Machinery, Land under Cereal Production and Food Export. On the other hand, Food and Agricultural Organization (FAO) membership and Tropical Climate have been used as the qualitative variables. Using Random Effects Model under Panel Data Analysis; the results indicate strong significant relationship of Livestock Production Index, Agricultural Machinery and Land under Cereal Production towards food production. It is to be concluded that most of the variables used in the study including time are significant in explaining the food production worldwide. For future studies more independent variables should be added such as employment in the agriculture sector, technology, fertilizer production, water sources, population rate and World Trade Organization (WTO) rules and regulations.


Download File

[img] Text (Abstract)
A random effects model analysis of the factors contributing to food production worldwide.pdf

Download (5kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry
Publisher: IDOSI Publications
Notes: Special issue on Bolstering Economic Sustainability
Keywords: Food production; Agriculture; Random effects model; Econometrics; STATA
Depositing User: Nabilah Mustapa
Date Deposited: 09 Jul 2020 00:35
Last Modified: 09 Jul 2020 00:35
URI: http://psasir.upm.edu.my/id/eprint/44090
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item