Evaluating low-carbon competitiveness under a DPSIR-Game Theory-TOPSIS model-A case study

摘要

With the gradually prominent contradiction among economic growth, resources, and the environment, low-carbon competitiveness has become the focus of world attention. This study is aimed at exploring the low-carbon competitiveness of a low-carbon pilot city in China. This study constructed an evaluation index system of low-carbon competitiveness with 40 indicators based on DPSIR (Drivers (D)-Pressure (P)-State (S)-Impact (I)-Response (R)) model, determined indicators' weights by Game Theory method, evaluated low-carbon competitiveness combined with TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method, and analyzed spatiotemporal differences of the study area. The DPSIR-Game Theory Combination Weighting-TOPSIS approach is put forward, which is an overall method to carry out calculations on indicator weights, and it is especially appropriate to assess burgeoning fresh objects. On the basis of the DPSIR-Game Theory Combination Weighting-TOPSIS approach, spatiotemporal differences of low-carbon competitiveness from 2008 to 2017 in Guiyang were compared and analyzed. The state of low-carbon competitiveness had been improved from a weak level to a medium and strong level during 2008 to 2017. However, there was still a big gap compared with the stronger low-carbon competitiveness. In addition, some policies and suggestions are put forward to promote low-carbon competitiveness development, hoping to provide references for the decision making of local governments and provide theoretical supports for low-carbon construction in other countries.