The purpose of this study is to quantify the rice harvest losses in China and to evaluate the impacts of machinery and harvest outsourcing services on these losses, given the background of high-speed mechanization and outsourcing services.  Data were collected from a national survey conducted in 2016 by the research team in conjunction with the Research Center for the Rural Economy of the Ministry of Agriculture and Rural Affairs of China.  A non-parametric method was used to test whether combine harvesting and outsourcing services could significantly reduce harvest losses.  Next, quantile regression was used to estimate the real effects of machinery and outsourcing services on harvest losses.  The analysis yielded four main study outcomes.  First, the harvest loss rate of rice in China was 3.65%.  Second, mechanical reaping and winnowing caused greater losses than manual methods, while the opposite was true of field transportation.  Third, combine harvesting increased the losses.  Fourth, the effects of an outsourcing service on losses differed among the different harvesting methods.  Outsourcing services increased losses in segmented harvesting but they reduced losses in combine harvesting.