Status of Saffron in Jammu and Kashmir: An Economic Analysis

Mysir Jeelani Kaloo, Reena Patidar, Tapan Choure


In the present study simple multiple regressions was used to understand the contribution of different variables influencing saffron production the results indicated that the regression coefficients of time (0.96) fertilizers (0.23) and area (0.13) contributed significantly to 0.48%. Also auto correlation model was used; indicated (2.246) presence of perfect positive autocorrelation between the variables. Estimated calculation of area was calculate through the compound growth rate resulting 2469.023 ha will be used in 2012 for the cultivation purposes in 2012. Data used has shown a declining trend in the production and productivity from the last decade due to conversion of saffron land for commercial purposes.


Saffron, multiple regressions, autocorrelation, production, productivity

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Copyright (c) 2014 Mysir Jeelani Kaloo, Reena Patidar, Tapan Choure

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