The Researches on Operational Model of Eco-friendly Enterprises in Tianjin Binhai New Area Based on SOM Neural Network

摘要

After Shenzhen and Shanghai's Pudong, Tianjin Binhai New Area (TBNA) is advancing on the path of becoming China' s third economic engine. Being taken into the national integrated strategic development, TBNA will step its efforts to become the gateway of North China for opening up, modern manufacturing and research & application base, and so on. The researches on operational model of Eco-friendly enterprise will be of great benefit to the balanced the relations of economy, environment and society in the sustainable development of TBNA. Based on the interviews and investigations of 49 manufacturing enterprises in TBNA, we have clustering analyses on these investigate result using the Self-Organizing feature Map ( SOM) neural networks. In doing this work we developed a new method of united one-dimension and two-dimension SOM for clustering samples. In the procedure, the two-dimensional and one-dimensional training results were combined to determine the clustering results. The method can reduce the subjective factor and give satisfactory results. Clustering analyses showed that there were four different types among the enterprises in the aspect of Eco-friendly operation. Specific policy suggestions for each enterprise type are made. The operational model of eco-friendly enterprises in TBNA are given in the paper. Perhaps it will be a consultation to the Eco-friendly improvement for enterprises, and it will be benefit to the harmonious development in TBNA.