Performance evaluation on low-carbon operation of enterprises under the ecological environmental protection regulations

ObjectivesThe low carbon operation effect refers to the innovation achievement degree generated in the low carbon operation activities. The comprehensive analysis on low carbon operation effect refers to the quantitative calculation and analysis of single content or single index based on their correlation level which reflect the low carbon operation situation and achievement. Its purpose is evaluate and judge the low carbon operation situation and result of enterprises through comprehensive analysis thus to enhance the cognition depth and analysis quality.

MethodsIn order to enhance the effectiveness of inclusive green innovation environment evaluation of enterprises under the ecological environmental protection regulations from the perspective of strategic management, this paper aims at the inclusive green innovation environment evaluation problems of enterprises under the ecological environmental protection regulations to put forward an inclusive green innovation environment evaluation index system based on multi‐layer clustering algorithm under the ecological environmental protection regulations. In addition, it designs the multi‐layer clustering improvement mode based on the multi‐layer clustering algorithm, based on the rough clustering result of low carbon operation performance, realizes the defined detection on the hidden operation performance in hybrid network by aid of density‐based clustering algorithm in the different‐layer rough operation performance detection result, thus to enhance the prediction precision.

ResultsIt verifies the effectiveness of algorithm through simulation experiment. The experiment result shows that in the forward‐backward compressed clustering network model training and testing processes of green innovation capability evaluation of enterprises under the ecological environment protection regulations

ConclusionsThis paper aims at the inclusive green innovation environment evaluation problems of enterprises under the ecological environment protection regulations to put forward an inclusive green innovation environment evaluation index system based on forward‐backward compressed clustering filtering algorithm under the ecological environment protection regulations, conducts evaluation and research from six aspects including green innovation input capability, green innovation management capability, green innovation service capability, green innovation marketing capability, green innovation awareness of entrepreneurs under the ecological environment protection regulations and green innovation environmental protection capability, and puts forward a forward‐backward compressed clustering filtering algorithm to effectively solve the noise and uncertainty problems existed in green innovation evaluation collection of enterprises and realize effective estimation on the green innovation evaluation equilibrium model under the ecological environment protection regulations.