Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/7966
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dc.contributor.authorKumar, A.
dc.contributor.authorSharma, P.
dc.contributor.authorAmbrammal, S.K.
dc.date.accessioned2020-03-30T10:03:12Z-
dc.date.available2020-03-30T10:03:12Z-
dc.date.issued2015
dc.identifier.citationInternational Journal of Economics and Business Research, 2015, Vol.10, 2, pp.179-203en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7966-
dc.description.abstractThe 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. Copyright � 2015 Inderscience Enterprises Ltd.en_US
dc.titleClimatic effects on sugarcane productivity in India: A stochastic production function applicationen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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