Gujarat Journal of Extension Education (ISSN 2322-0678)

Title: REGRESSION ANALYSIS OF ENTREPRENEURIAL BEHAVIOUR OF SWEET ORANGE GROWERS

Authors: Y. S. Ekhande1 and D. D. Suradkar2

Publisher: Society of Extension Education Gujarat

Keywords: entrepreneurial behaviour and regression, sweet orange growers

Volume: 35

Issue: 1

Year: June 2023

DOI: https://doi.org/10.56572/gjoee.2023.35.1.0001

Abstract: A sweet orange (Citrus sinensis L.) is an important fruit crop of Maharashtra state of India. It is grown on an area of 55,000 ha. The area under this fruit crop is increasing rapidly as a result of dynamic employment guarantee scheme launched by the Government of Maharashtra for fruit crops. Sweet Orange is a major fruit crop in Marathwada region of the State. 0.77 lakh hectares area is under this crop (Anonymous, 2014a). The development of any nation depends primarily on the important role played by entrepreneurs. Hence, the part played by entrepreneurs is of vital importance in a developing country like India. Thus in all economic development activities more attention is being given to entrepreneurship development. An entrepreneur is primarily concerned with changes in the formula of production over which he has full control. Further, it is commonly believed that an entrepreneur is basically an intelligent person and has a definite ability to create something new to prove its worthiness. The Ex-post-facto research design was used for the present study. The study was conducted in Aurangabad district. Three tahsils namely, Aurangabad, Paithan and Kannad were selected purposively on the basis of the maximum area under sweet orange cultivation. The main objective of this study is to study the regression analysis of entrepreneurial behaviour of sweet orange growers. It is revealed from that coefficient of determination (R2) of the independent variables was 0.5040. It means that 50.40 per cent of the total variation in entrepreneurial behavior of sweet orange growers was explained by the selected 10 independent variables i.e. Farming experience, Education, Family size, Occupation, Land holding, Annual income, Social participation, Mass media use, Economic motivation and Market orientation. The present study was used as a multistage sampling procedure. Collected data were classified, tabulated and analyzed by using multiple regression.

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