Study Of Hainan Agriculture Early Warning System

The agricultural economy of early warning systems is a systems of agriculture future state test, forecasting abnormal extent and the scope of harm timely preventive measures. Establishing the agricultural economy of early warning systems is the objective situation demands. China's agricultural and rural economic development is at a new historical stage. With the accelerated development of economic globalization process, especially after China's accession to the WTO, Ddomestic agricultural markets to further increase the openness of the international market of the impact on domestic agricultural production is also growing, Hainan obvious advantages weakening Tropical Agriculture. Under such circumstances, reasonable adjustment of agricultural policy and familiar with the domestic and international markets for agricultural products to ensure that agricultural safety and enhance agricultural competitiveness and timely guide effective production operators avoid market risks is one of the important management of Hainan agricultural innovation topics.Made a empirical study of Hainan agricultural early warning system. First, Analysis 1981-2004, Hainan agricultural economic development trends.and select Hainan agricultural economy of the 23 influential factors by Pricipal Componet method. Secondly, set up an agricultural early warning system by Systematic principles and methods of time-related analysis, meanwhile, stablish early warning models of agricultural product. Thirdly ,detection and comprehensive analysis of agricultural early warning system. Finally, proposed the establishment of agricultural economy of early warning systems.Different from the formal study methods, one new method is used in this dissertation. When setting up the agricultural economy of early warning systems,both The domestic experts and the the foreign mostly qualitative analysis or quantitative analysis but not for the establishment of early warning systems for testing. Thus makes the establishment of early warning systems applications lack meaningful. Therefore in this dissertation waring systems testing is used in the systems research.The dissertation comes into conclusion in the end: firstly, select warning omen by Principal Component method , On the one hand we can see the impact factor of agriculture...