Abstract:
The present study estimates the influence of climatic and
non-climatic factors on mean yield and yield variability of sugarcane crop in
different weather seasons (e.g., rainy, winter and summer) in India. Sugarcane
mean-yield for fourteen major sugarcane growing states from different
agro-ecological zones are delimitated in panel data during 1971–2009.
Regression coefficient for mean yield and yield variability production function
(i.e. risk increasing or decreasing inputs) has been estimated through log-linear
regression model with the help of Just and Pope (stochastic) production
function specification. Empirical results based on feasible generalise least
square (FGLS) estimations shows a significant effect of rainfall, maximum and
minimum temperatures on sugarcane mean yield and yield variability.
Whereas, average maximum temperature in summer and average minimum
temperature in rainy season have a negative and statistically significant impact
on sugarcane mean yield. Sugarcane mean yield positively gets affected with
average maximum temperature during rainy and winter season.
