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Abstract
A panel data of 27 provinces in China is used to analyze the productivity growth in China's agricultural sector over the period 1984-1999. We first compute the output-orientated Malmquist productivity indexes and its decompositions using non-parametric DEA (Data Envelopment Analysis) approach. Tobit regressions are then used to identify the major determinants of TFP growth and its components.