Abstract:
A nonstochastic Malmquist Index and a stochastic frontier production function are estimated to examine agricultural productivity growth in Chinese provinces during the 1990’s. Results for both methods indicate high productivity growth in the mid 1990’s with a declining trend thereafter. While the Malmquist index picks up a reversal of this trend in 2000-2001, this is not evident in the stochastic frontier estimates. Both methods identify the same regions as the most productive. Variables representing public inputs such as education, research and infrastructure are shown to have an important impact on differential provincial performance.