SUMMARY :The study was carried out to develop the classificatory statistical model to predict and classify the farmers into adopters and non-adopters in Kolar district of Karnataka for the year 2013. Linear discriminant analysiswas carried out by considering the various socio-economic characteristics of farmers as predictors and adoption behaviour of the farmers as response variable in order to assess the factors influencing on adoption of drought coping mechanisms. The result shows that the Box's M test is 161.3 with their F approximation 1.83 is non-significant (0.19) at 5% level of significance, Eigen value (2.51) of the first function explains 100% of variations in the data which is potential enough to classifying the groups, wilk's lambda associated with the function (=0.28) is transforms to a chi square of 140.82 with 12 DF, which is statistically significant and the following variables such asFarm Size (0.552), Extension Visits (0.574), Crop Diversification (0.321) and Crop Insurance (0.368) are relatively more important and positively influencing on discrimination of farmers group. Whereas the variable like Age (-0.516) negatively influencing on discrimination of adopters and non-adopters.

Market integration is a good proxy for measuring market efficiency and the emerging price signals from the markets can be utilized to benefit both farmers and reelers alike. The present study empirically examines the dynamic interrelationships among the prices of major cocoons markets viz. Ramanagaram (Karnataka), Sidlaghatta (Karnataka), Hindupur (Andra Pradesh) and Dharmapuri (Tamil Nadu) in terms of market integration. The monthly average prices of cross breed mulberry cocoons for a period between April 2002 and March 2021 were considered for the present study. The Augmented Dickey-Fuller (ADF) (tau) testindicated that all the price series were non-stationary at level, but were stationary after first difference. The Johansen's multivariate cointegration procedure revealed existence of cointegration among the prices of cocoon markets. The Vector Error Correction Models (VECM) revealed a long run price causality running from Ramanagaram and Sidlaghatta markets to all other markets considered under study. The Granger causality test indicated a unidirectional causality running from Ramanagaram and Sidlaghatta markets to all markets and not vice versa. The prices prevailed in Ramanagaram and Sidlaghatta markets controlled and decided the current prices of cross breed cocoons both in long run and short run in all other markets considered for the study.

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