Self-Sufficiency of Rice Consumption and Farm Entrepreneurship of Operating Farmers in Rural Areas..

The study's main goals are to elucidate the distributive characteristics of operating farms in the study's chosen location, to define a micro level policy so that the constraints of operating farms can be analysed and intervention programmes can be operationally defined, and to estimate and analyse the nature and direction of interaction among the independent and dependent vales.

Study Design: Purposive and simple random sampling techniques were used to select the location, and respondents involved in rice cultivation were interacted with and selected using the simple random sampling process.

The study took place in the village of Rasulpur in the Memari-1 block of the Purba Bardhaman district of West Bengal.

Methodology: In this sample, 50 respondents who work in rice farming were contacted and chosen using a simple random sampling method. A preliminary interview schedule was used to determine people's expertise, perceptions, and attitudes toward climate change, communication and extension systems, farm enterprises, and challenges encountered during rice production. The data had been subjected to multivariate analysis. For correlation analysis, multiple regression analysis, step-down regression analysis, path analysis, and factor analysis, IBM's Statistical Package for the Social Sciences V20.0 (SPSS) was used.

Results: The independent variables economic land (x7), community interaction (x11), innovation proneness (x13), and consumer orientation (x14) were found to have a significant and deciding influence on the estimation of the dependent variable self-consumption of rice output (y) and the collection of economic and ecological variables chosen for the analysis.

Conclusion: It can be concluded that the dynamics of food grain self-sufficiency and entrepreneurship, especially in the case of rice enterprises, are primarily influenced by the entrepreneurs' behavioural characteristics, group interaction, economic land ownership, electricity consumption level, fuel use efficiency, innovation proneness, and market interaction.

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