| Based on status of development of agricultural economic, this papder selected index system that can represent the level of
rural economic, selected time series of indicators from 2003 to 2010, and evaluated the level of development of rural economic by using entropy weight method and fuzzy matter-element analysis. Based on VAR Model, this paper analyzed the relationship between the level of economic in rural areas and the development of agricultural products logistics by using cointegration analysis, ECM, impulse response and variance decomposition. Results showed that long-term cointegration relationship existed between the level of rural economic and the development of agricultural products logistics. Rural economic could effectively promote development of agricultural product logistics, and as the period goes on, disturbance impact and contribution would gradually stabilized. |
