Predicting Consumer Intentions to Purchase Genetically Modified Food: An Empirical Evidence From a Developing Nation

Predicting Consumer Intentions to Purchase Genetically Modified Food: An Empirical Evidence From a Developing Nation

Shantanu Saha, Vishal Soodan, Shivani Rakesh Shroff
DOI: 10.4018/IJSESD.293245
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Abstract

Environmentalist are sceptical towards the burgeoning interests of consumers in GM crops and the products are under careful observation of the scientific researchers and policymakers present all around the globe. The objective of the paper is to examine the Developing Nation consumers intention towards GM Food as a purchase choice. To elucidate the role played by determinant factors such as Environmentalism and Emotional Involvement followed by factors from TPB was used to determine the consumer intentions. The study has exploited the hypermarket trends of Indian city, Chandigarh, which is capital to states of Haryana and Punjab, by using a cross-sectional survey comprising of 744 number of consumers. Result shows that among the five determinant factors, Attitude, Environmentalism and Perceived Behavioral Control are the key determinants that play a substantial role in influencing consumers to purchase GM Food. The findings of the study will prove beneficial in augmenting the adoption of GM Food by increasing social desirability and meeting the food security demand of India.
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1. Introduction

See Table 1 for abbreviations throughout this paper.

DNA manipulation has been a viable possibility as the task of unearthing the double-helical model of DNA was accomplished by Watson and Crick in the year 1953. This made the introduction of new traits and modification of existing traits in an organism possible. Genetically modified food or GM food has become realizable due to genetic engineering. This encapsulates introduction of a genome or genes from a plant of a different species and even from a bacterium, virus or an animal to create an entirely different species of plant or food crop (Venkat, 2016). Genetically modified organisms or GMOs comprises of plants, animals or micro-organisms whose inherent genetic code (DNA or deoxyribonucleic acid) has been altered or modified by developing traits which previously were non-existent and cannot occur naturally by breeding or by natural combination (James, 2015). Here, the specific genes are transferred within organisms and between organisms even if they belong to non-related species. The food thus obtained by using genetically modified organisms (GMOs) is referred to as Genetically Modified Food (World Health Organization, 2014). Two decades after the initiation of GM food production, a vast dominant part of the zone planted to GM yields still stays in only a couple of nations. The United States is the leading consumer of Genetically Modified crops is yet the biggest cultivator with 73.1 million hectares of area under GM crop cultivation as of 2018. Brazil is at second spot with 51.3 million hectares and Argentina third at 23.9 million hectares. Collectively these three countries account for more than three-fourths of GM crops worldwide (James, 2015). Canada and India cultivate around 12.7 million hectares and 11.6 million hectares respectively. Together, top ten nations represent more than 98% of the worldwide GM hectares (James, 2015). India bags the fifth spot with a total production of 10.8 million hectares and the USA still holds the top position by planting 72.9 million hectares (ISAAA, 2016). The production of GM crops reached tremendous heights in the year 2016 by surpassing all the prohibitions on BT-Brinjal levied in the year 2010 (ISAAA, 2016). Despite the slow growth of the global cotton market, India is the highest producer of cotton globally with the total production exceeding 35 million bales (ISAAA, 2016). The major innovations in the field of crop biotechnology have been instrumental in increasing the food production and in this way, have catered to the needs of the increasing worldwide population in developing nations, as well as met the propitious rules and regulations (ISAAA,2016).

Table 1.
Abbreviations
%Percentage
AMOSAnalysis of moment structure
ATTAttitude
AVEAnalysis of variance extracted
BTBacillus Thuringiensis
CFAConfirmatory factor analysis
CRComposite reliability
CVConvergent validity
dfDegree of Freedom
DNADeoxyribonucleic acid
EFAExploratory factor analysis
EIEmotional Involvement
ENVEnvironmentalism
GFIGoodness of fit index
GM FoodGenetically modified food
GMOGenetically Modified Organisms
HHypothesis
IFIIncremental fit index
IRInfrared Spectroscopy
KMOKaiser-Meyer-Olin
NNumber
p- valueProbability
PBCPerceived behavioral control
R2Regression square
RMSEARoot mean square error of approximation
SDStandard Deviation
SEMStructural Equation Modelling
SNSubjective norms
SPSSStatistic package on social science
t- valueTest statistics
TLITucker Lewis index
TPBTheory of planned behavior
TPBTheory Planned Behavior
WHOWorld Health Organization
X2/dfChi-square/ degree of freedom
αCronbach alpha
Β- valueBeta value

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