Economic Loss and Financial Risk Assessment of Ecological Environment Caused by Environmental Pollution under Big Data

Abstract

With the proposal of the sustainable scientific development concept, the ecological environment problem has been paid more and more attention, and the economic loss and financial risk assessment work caused by environmental pollution is even more urgent. On the one hand, financial growth is an important reason for the decline of environmental quality; on the other hand, the change of environmental quality and the increase in pollution discharge also have counterforces to financial growth. Through big data technology, this paper established the basic steps of economic loss cost and risk assessment and provided quantifiable index information for the realization of ecological environment big data early warning. An improved analytic hierarchy process (AHP) is proposed in this paper. By checking the consistency of the judgment matrix in combination with the actual situation, it is possible to accurately analyze the degree of environmental protection for sustained economic growth, and to objectively understand the degree of financial risk. The experimental results of this paper showed that the evaluation accuracy of the improved AHP was higher. Before the improved method was used, most of the high-risk factor weights and rankings were still in the high-risk range. The results of the consistency verification of risk criteria and risk factors showed that the consistency test of each level was less than 0.1. The risk factors are classified into the high-risk factor group (50%). The impact of the air pollution category had increased from fifth place in the fuzzy AHP to the first place in the AHP risk ranking, and the risk of water pollution category dropped from the 19th medium risk in the fuzzy AHP to the 12th medium risk in the AHP. It can be seen that the weights and rankings evaluated by the fuzzy analytic hierarchy process were more in line with the actual market conditions.