Publication | Open Access
Modeling Interprovincial Cooperative Carbon Reduction in China: An Electricity Generation Perspective
15
Citations
46
References
2021
Year
EngineeringCarbon ReductionClimate PolicyCarbon Neutrality PolicyCarbon Emission TradingSensitivity AnalysisCarbon NeutralityRenewable Energy SystemsClimate ChangeGreenhouse Gas Emission ReductionEnergy Sector EmissionsLow-carbon Energy SystemsEnergy ManagementSustainable EnergyCarbon PricingEnergy TransitionLow-carbon DevelopmentEnergy PolicyBusinessEnergy EconomicsElectricity Generation Perspective
As the world faces great challenges from climate change, carbon reduction has become China’s basic national policy. However, as the main model for carbon reduction in China, the non-cooperative carbon reduction model (NCCRM) is a simple regulation mode, which is not beneficial for optimization of electricity generation capacity structure and cannot effectively motivate carbon reduction at the provincial level. Therefore, we propose an interprovincial cooperative carbon reduction model (CCRM) from the perspective of electricity generation, which provides a mechanism integrating two fundamental principles of efficiency and fairness. The CCRM consists of two parts: (1) an optimal model of carbon reduction with the object of minimizing the carbon emission of the cooperation union to determine the optimal annual electricity generation for each participating province and (2) a model that distributes the economic benefits of the cooperation among the provinces in the cooperation based on the Shapley value method. We applied the CCRM to the case of an interprovincial union of Shanghai, Sichuan, Shanxi, and Gansu in China. The results, based on the data from 2014 to 2017, show that cooperation can significantly reduce the carbon emission of the union by 425.78 × 10 8 kg, 11.06%; meanwhile, Shanghai, Sichuan, Shanxi, and Gansu can, respectively, get 2.79 × 10 8 , 11.11 × 10 8 , 4.07 × 10 8 , and 3.19 × 10 8 CNY of extra benefits from carbon reduction. To test the impact of different parameter values on the results of the CCRM, a sensitivity analysis was conducted. Some policy recommendations are proposed to promote the implementation of the CCRM.
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