Abstract
Based on the panel data of 29 provinces, municipalities and autonomous regions in China from 1995 to 2009, this paper uses non-parametric panel data models to mainly study the influences of coal, electricity, oil consumption to GDP. We find the following results: (1) local linear kernel estimation method shows that coal, electricity and oil consumptions have significant positive impacts on GDP; (2) the pointwise regression estimates of output elasticity for coal, electricity and oil consumptions with respect to five explanatory variables have shapes including “U”, inverted “U”, increasing and decreasing types
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