An Empirical Study on the Optimization Capacity of Farmers' Income Increasing Based on Partial Least-Squares Regression Model--take Heilongjiang Reclamation Area for Example

In order to optimize the capacity of farmers' income persistently increasing, in this paper we analyze 8 factors affecting farmers' income increasing using PLS model based on the statistical data of Heilongjiang reclamation from 2000 to 2008. The study shows that wage incomes, agricultural subsidy and tax reducing still account for a great proportion of farmers' net incomes, but the level of agricultural mechanization, crop planting area and grain output, rural education have been important factors affecting farmers' income increasing since 2000. therefore it is suggested that the government should pertinently implement differential tactics aiming at affecting factors, combine internal agricultural development with external support to ensure the persistent increasing of farmer' incomes, and this model has the good application and extension value because it is better than other models on the predicting fitted effect to farmers' incomes.