Abstract: This study was conducted in the Beed and Nanded districts of the Marathwada region in Maharashtra to examine the relationship between the profiles of PM-KISAN beneficiary farmers and the scheme's impact on their livelihoods. Data were collected from 300 beneficiary farmers during 2022-2023 using a structured questionnaire. Various analyses, including correlation, regression, and path analysis, were conducted to examine the relationship between independent variables and the impact of the PM-KISAN scheme. Correlation analysis revealed that social participation and risk orientation were positively and significantly associated with the impact of the PM-KISAN scheme. Additionally, education, extension contact, mass media exposure, economic motivation, and achievement motivation showed a strong positive correlation with the scheme's impact. However, variables such as age, family size, occupation, landholding, annual income, and farming experience did not exhibit a significant relationship with the impact of the scheme. Multiple regression analysis indicated a coefficient of determination (R2) of 0.653 for the independent variables, meaning that 65.3% of the total variation in the impact of the PM-KISAN scheme could be explained by the 13 selected independent variables. The remaining unexplained variation may be attributed to factors not included in this study or factors beyond its scope. Path analysis further identified mass media exposure, extension contact, education, economic motivation, achievement motivation, age, social participation, and risk orientation as key variables. These factors are crucial for influencing the impact of the PM-KISAN scheme on beneficiaries, as other independent variables had little effect in their absence.
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