Climatic effects on sugarcane productivity in India: a stochastic production function application

作者: Ajay Kumar , Pritee Sharma , Sunil Kumar Ambrammal , None

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

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