Neeraj Bali
Governments of developing country have given attention to the contribution of leadership in cooperatives.Major concern of this study is empirically assessing the impact of leadership in cooperative members’ agricultural productivity. The Multi Linear Regression is done in Python 3 for the realization of this objective. Yamane(1970) sampling formula is used for sample size determination.The target population for the study is 870 primary cooperative boards from which 274 individual board are sampled. The primary data was collected from the selected sample respondents by using structured questionnaire. The result of the study reveals that the various Leadership actions like agricultural input, personal impact, marketing support and organizational support are significantly impacting the members agricultural productivity in the cooperative setup. 64.4% of the variance of the dependent variable being studied is explained by the variance of the independent variables. Explanatory Research design is used in this study. The correlation analyses the relation of cooperative leadership with the members’ agricultural productivity, which shows statistically positive relationship. The regression analysis shows the positive impact of cooperative leadership on members’ agricultural productivity.