Factors affecting public attitude toward genetically modified food in Malaysia

Latifah Amin, and Jamaluddin Md. Jahi, and Abdul Rahim Md. Nor, and Mohamad Osman, and Nor Muhammad Mahadi, (2006) Factors affecting public attitude toward genetically modified food in Malaysia. Sains Malaysiana, 35 (1). pp. 51-55. ISSN 0126-6039

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Official URL: http://www.ukm.my/jsm/english_journals/vol35num1_2...


Public perceptions, understanding and acceptance of modern biotechnology can both promote and hamper their commercial introduction and adoption. Various studies have shown that consumer acceptance of modern biotechnology tend to be conditional and dependent on several factors. Public perceptions of biotechnology have received extensive attention in recent years in most Western countries such as Europe, USA and Canada but there have been limited similar surveys in developing countries. Most of the earlier studies used uni-dimensional or bi-dimensional instrument with multi-items or the most is four dimensions with single item. In this study, public attitude towards genetically modified (GM) soybean that is already available in the Malaysian market. A survey was carried out on 577 general public respondents in the Klang Valley region. In order to detect the structure of attitude amongst the expert group in the Klang Valley region, structural equation modeling (SEM) using AMOS version 5.1 was carried out. Result of the survey has confirmed that attitude towards complex issues such as biotechnology should be seen as multi-faceted/ multidimensional process. The most important factors predicting encouragement of GM soybean are the specific application-linked perceptions about the benefits and acceptance of risk while moral concern, risk and familiarity are significant predictors of intermediate factors. Researchers, policy makers and industries interested in developing and marketing GM products in Malaysia should consider the various factors mentioned in this in order to gain public approval.

Item Type:Article
Keywords:public attitude; genetically modified food; structural equation modeling; risk perception
Journal:Sains Malaysiana
ID Code:3974
Deposited By: Mr Fazli Nafiah -
Deposited On:28 Mar 2012 01:00
Last Modified:28 Mar 2012 01:00

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