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Faced with increasingly severe environmental problems, carbon trading marketsand related financial activities aiming at limiting carbon dioxide emissionsare booming. Considering the complexity and urgency of carbon market, it isnecessary to construct an effective evaluation index system. This paperselected carbon finance index as a composite indicator. Taking Beijing,Shanghai, and Guangdong as examples, we adopted the classic method of multiplecriteria decision analysis (MCDA) to analyze the composite indicator. Potentialimpact factors were screened extensively and calculated through normalization,weighting by coefficient of variation and different aggregation methods. Underthe measurement of Shannon-Spearman Measure, the method with the least loss ofinformation was used to obtain the carbon finance index (CFI) of the pilotareas. Through panel model analysis, we found that company size, the number ofpatents per 10,000 people and the proportion of new energy generation were thefactors with significant influence. Based on the research, correspondingsuggestions were put forward for different market entities. Hopefully, thisresearch will contribute to the steady development of the national carbonmarket.

Measurement of carbon finance level and exploration of its influencing factors