Green industry evaluation indicators screening model based on the maximum information content and its application.

Green industry evaluation is a necessary part to develop low-carbon economy and achieving sustainable development in the economic, social and ecological environment. Establishing a reasonable indicators system is the key to green industry evaluation. From the connotation of green industry, this paper chooses green industry evaluation indicators extensively which include green production, green consumption and green environment. According to the principle of the maximum information content and the principle of eliminating redundant information, it establishes the evaluation indicators system of green industry. The special and contributions of this paper lie on four aspects. Firstly, it uses coefficient of variation to calculate the information content of each indicator, then the indicator with the highest information content is screened. At last, the evaluation indicators system of green industry composed of three criterion layers: green production, green consumption and green environment, which includes 26 indicators, is established. Secondly, it uses coefficient of variation to screen the indicator with the highest information content loading in each cluster, which ensures that the selected indicator has the greatest influence on the green industry evaluation. Thirdly, it uses R cluster analysis to classify indicators in the same criterion layer, which ensures that different indicators represent the different characteristics of the data and avoids the different indicators reflect repeated information. Fourthly, the study result reveals that the final indicators system reflects 98.44% of original information by 27.7% of initial indicators. [ABSTRACT FROM AUTHOR]