Analysis And Forecast Of Environmental Pollution Control Investment

Environment is closely related to human life, in order to protect the ecological environment, to human beings and the maintenance of children’s healthy development, we must actively prevention and control of environmental pollution. As the environmental pollution problem of the most basic means, environmental pollution control investment in the government budget, occupies a very important position, this paper analyses the current situation of environmental pollution control investment of our country, at the same time, according to the management of investment data, prediction model based on statistics, investment forecast.First of all, this paper uses descriptive statistical method for the qualitative analysis of treatment investment, according to analysis, the need to further increase investment of environmental pollution treatment in the total amount, adjustment for environmental pollution treatment investment structure requires the transfer of the center of gravity of the investment advice, and refine the allocation of investment to meet the needs of urban environmental infrastructure and construction projects "three simultaneous" level to the investment focus shifted to the governance of industrial pollution sources.Secondly, this paper introduces the statistical prediction and time series analysis related concepts and models, by trend extrapolation and grey prediction respectively to our country from 2000 to 2011 governance investment were modeling and analysis, through the model test and predictive value and real value of that two models are of historical data has been very good fitting."Forewarned is forearmed, without prejudging the waste", prediction and decision is complementary and inseparable, the prediction as a prerequisite for decision-making, scientific prediction is reasonable to decision-making important basis. According to the analysis, it is concluded that regardless of the analysis of the status quo of conclusion or statistical modeling to draw the predictions are intended to provide a reference for the scientific decision-making of the relevant government departments.