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Research Article Open access CC BY 4.0

Influence of Socio-personal and Management Factors to Generate the Knowledge Level of the Farmers Associated with Sericulture of West Bengal, India

Mrittika Sengupta, Soma Biswas, Pijush Mallick, Soumen Saha

Asian Journal of Agricultural Extension, Economics & Sociology · pp. 47–61 · Published 23 Feb 2023

10.9734/ajaees/2023/v41i21847

Abstract

Knowledge level is assessed in respect to a total of twenty-one socio-management variables associated with sericultural practices by the farmers in West Bengal, India. The study was conducted using a total of 126 respondents under three districts. The independent fourteen societal and seven management factors were statistically analyzed using correlation, path, factor and regression models. Consistency and dependency level in between the independent variables were assessed and found discrete and/or random in nature. Various model values by path analysis showed the direct substantial effect on x10, x12 and x19 where they occupied the 1st, 2nd and 3rd positions respectively. All the variables were justified by a total of seven factors extracted form a homophyllus group and identified with their variation and cumulative percentages. Regression equations was extracted for knowledge level (y) separately as dependent variable and Minimum Data Set as predictor set. The probability of ‘F’ value ranged from 0.05 - 0.10 and found in variables x10 and x16, critically effected on the predicted character knowledge level (y). Considering all these socio-management factors, if the identified variables can be taken care in knowledge level increment, the number of sericulture farmers will be more in future across West Bengal.

Factor analysis farmer’s knowledge level path analysis regression analysis sericulture socio-management factor

Cited by 1

Assessment of Socio-Personal and Management Factors Affecting Farmer’s Income from Sericulture in West Bengal, India

Mrittika Sengupta, Soma Biswas, Soumen Saha · International Journal of Advancement in Life Sciences Research · 2024

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