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Smallholder Organic Farmer and #8217;s Attitudes, Objectives and Barriers towards Production of Organic Fruits and Vegetables in India: A Multivariate Analysis
Author(s) -
Ravi Nandi,
Nithya Vishwanath Gowdru,
Wolfgang Bokelmann,
Gustavo Francesco de Morais Dias
Publication year - 2015
Publication title -
emirates journal of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 28
eISSN - 2079-0538
pISSN - 2079-052X
DOI - 10.9755/ejfa.2015.04.038
Subject(s) - descriptive statistics , context (archaeology) , agricultural science , multivariate analysis , nonprobability sampling , production (economics) , organic farming , agriculture , sample (material) , variance (accounting) , business , agricultural economics , geography , economics , mathematics , statistics , environmental health , population , biology , medicine , chemistry , archaeology , macroeconomics , chromatography , accounting
The Indian organic food sector has experienced important growth during recent years. Despite growth potential, area under organic farming is meager. Indian smallholders (<2ha) are facing challenges to enter and sustain in the organic food sector and benefi t from this growth in a sustainable way. In this context, the aim of this paper was to analyze smallholder farmer’s attitudes, objectives and barriers towards production of organic fruits and vegetables (FV collected data were analyzed by using descriptive, factor and two-step cluster analysis. The results of factor analysis based on attitudes revealed that fi ve factors including “Market”, “Environmental”, “Support”, Benefi t & Cost” and “Community” factors explained 70.05 per cent of the total variance. Further, factor analysis based on objectives acknowledged the presence of three latent factors including “Economic”, “Environmental” and “Sociocultural” factors explaining 77.90 percent of the variance. Similarly, four latent factors were identifi ed based on the factor analysis on sixteen barrier variables, representing “Production”, “Marketing”, Techno-managerial” and “Economic & Financial” barriers explained 68.52 percent of the variance. Further, three clusters emerged on these attitudes and objective factor scores representing, 45%, 23.6% and 31.50% of the sample size. All three clusters have different levels of orientation to produce organically on the basis of each factor. The “Market and economic” factors are most important in two clusters followed by “Government support” and “Environmental” factors; a third cluster was fairly indifferent towards the organic F&V production. Results of this research have implications for policy makers, marketing professionals towards organic agriculture development by calibrating appropriate strategies to promote organic farming and enabling supporting environment in south India.

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