Comprehensive Evaluation And Influencing Factor Analysis Of Industrial Green Development Level In Liaoning Province

The "14th Five-Year Plan" pointed out that my country should accelerate the promotion of green transformation and development and build a beautiful China.Industry,as my country’s pillar industry,has laid a solid foundation for my country’s economic development.However,the rapid economic development has neglected the protection of resources and environment.Therefore,the realization of industrial green development is of great significance to sustainable development and the enhancement of my country’s industrial core competitiveness.As a traditional old industrial base in my country,Liaoning Province’s industrial development direction has reference value for the whole country.Strengthening the research on the level and influencing factors of industrial green development in Liaoning Province,and exploring efficient methods to achieve industrial green development are of great significance for Liaoning Province to improve the level of industrial development and achieve green transformation and upgrading.Based on the existing relevant theories of industrial green development,this paper establishes an evaluation model for industrial green development in Liaoning Province and an exploration model for influencing factors.key factors,and thus give countermeasures to improve the level of industrial green development in Liaoning Province.This study provides a theoretical reference for industrial green development in Liaoning Province and similar regions.The main research work of this paper includes: First,based on the DPSR model,the quantitative index screening method combining "set pair analysis-RBF neural network" and "correlation analysis" is adopted,and combined with the qualitative method,a Liaoning The evaluation index system of the provincial industrial green development;secondly,the entropy method is used to weight the indicators,so as to conduct an empirical study on the industrial green development level of Liaoning Province;thirdly,the partial least squares method is used to analyze the economic,technological From the six aspects of structure,environmental regulation,government and foreign capital,this paper conducts an empirical study on the influencing factors of industrial green development level in Liaoning Province.The main innovation of this paper is that "set pair analysis-RBF neural network" is applied to the construction of the index system of industrial green development level.First,the important indicators are selected by the "set pair analysis-RBF neural network" method to ensure the representativeness of the evaluation indicator system;then,secondary indicators containing redundant information can be eliminated by using correlation analysis;Supplement and improve,ensure the comprehensiveness of the evaluation index system,and establish an evaluation index system that takes into account both comprehensiveness and representativeness.