Research on Evaluation Model of Regional Low Carbon Competitiveness based on Analytic Hierarchy Process & Entropy Method Co-weighting and System Dynamics Modeling Method: The Case of Chongqing, China

Ming MA1, Yonggang YAN1, Fuhui HAN2, Qiuxia YAO1

1School of Management, Chongqing Jiaotong University, Chongqing, 400074, China

2School of Finance and Economics, Chongqing Jiaotong University, Chongqing, 400074, China

Abstract: In this study, regional low carbon competitiveness evaluation system was established, and analytic hierarchy process (AHP) and entropy method (EM) were combined as the co-weighting method so that the subjective and objective weighting methods can be synthetically considered to determine the weight values of the indicators selected in the evaluation system. Based on theevaluation system, the system dynamics (SD) method was used to build the regional low carbon competitiveness evaluation model in which factors may influence the low carbon competitiveness were connected together in a whole system. Six proposed scenarios were taken to evaluate and stimulate the variation tendency of low carbon competitiveness in Chongqing from 2001 to 2020 if different policies and regulations could be put into practice. The stimulationresults and trend lines showed that low carbon competitiveness in Chongqing would develop continuously stable but relatively gentle if the current development policies remained unchanged. However, the low carbon competitiveness would be promoted to a large extent and the results of which in 2020 could be nearly twice (0.8417) than that in the Primary scenario (0.4425) in 2020 if Scenario 5 could be applied, which is an integrated panning scenario that includes policies in energy conservation, economy transition, industry optimization, society promotion and environment protection.

Keywords: Regional low carbon competitiveness; AHP-EM co-weighting method; System dynamics