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DC Field | Value | Language |
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dc.contributor.author | Kumar, A. | |
dc.contributor.author | Sharma, P. | |
dc.contributor.author | Ambrammal, S.K. | |
dc.date.accessioned | 2020-03-30T10:03:12Z | - |
dc.date.available | 2020-03-30T10:03:12Z | - |
dc.date.issued | 2015 | |
dc.identifier.citation | International Journal of Economics and Business Research, 2015, Vol.10, 2, pp.179-203 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7966 | - |
dc.description.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. Copyright � 2015 Inderscience Enterprises Ltd. | en_US |
dc.title | Climatic effects on sugarcane productivity in India: A stochastic production function application | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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