Ajay Kumar
Climate Change and Sugarcane Productivity in India: An Econometric Analysis
Indian Institute of Technology Indore
study provides understanding relationship climatic factors sugarcane productivity india main objective paper estimates impact climatic nonclimatic factors sugarcane productivity check consistency empirical results simple linear regression model ricardian productivity regression nonlinear model cobbdouglas production function models employed data set incorporates 390 observations corresponding thirteen states panel data 30 years 1980 2009 models include sugarcane productivity dependent variable irrigated area agriculture labour consumption fertilizers literacy rate tractors farm harvest price constant level considered explanatory variables average rainfall average maximum average minimum temperature include climatic factors capture effect climatic conditions cane productivity climatic factors incorporate three weather seasons rainy winter summer empirical results based prais winsten models panels corrected standard errors pcses estimation shows climatic factors ie actual rainfall average maximum average minimum temperature statistically significant impact sugarcane productivity climatic effect various factors cane productivity varies within different seasons average maximum temperature summer average minimum temperature rainy season negative statistically significant effect sugarcane productivity sugarcane productivity positively get affect increasing average maximum temperature rainy season winter seasons study concluded nonlinear relationship climatic factors sugarcane productivity india