Ecological environmental early-warning model for strategic emerging industries in China based on logistic regression

Ecological environmental early-warning can make timely warning to predict the ecosystem degradation and the deterioration of environmental quality caused by industry development activities. The sustainable development of strategic emerging industries is taken as a starting point, this paper analyzes the impact of industrial activities on the ecological environment, and constructs the ecological environmental early-warning indicator system. This paper defines the research objects, and respectively selects sixty listed companies as the training samples and the testing samples. By the normal distribution tests and the factor analysis, five indicators are chosen. The Logistic regression early-warning model is constructed by two indicators which pass the significance test. Finally, the results of empirical analysis show that the early-warning model can provide an ideal warning for ecological environmental position, and can give an effective judgment on ecological environmental problems. The research can provide a certain basis for the sustainable coordination development between strategic emerging industries and ecological environment.