Approaches to carbon allowance allocation in China: a computable general equilibrium analysis

Yao, Yao; Liang, Qiao‐Mei

doi:10.1007/s11069-016-2352-7

Cited by 10 publications

(1 citation statement)

References 26 publications

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“…With respect to the allocation methods based on the efficiency principle, there are mainly the mathematical programming method [42], DEA model method [43] and general equilibrium analysis method [44,45] etc. Among them, the mathematical programming method can be divided into grey programming, fuzzy programming, linear programming and nonlinear programming.…”

Section: The Choice Of Permits Allocation Methods Among Regionsmentioning

confidence: 99%

Regional-Level Allocation of CO2 Emission Permits in China: Evidence from the Boltzmann Distribution Method

et al. 2018

Sustainability

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To achieve the commitment of carbon emission reduction in 2030 at the climate conference in Paris, it is an important task for China to decompose the carbon emission target among regions. In this paper, entropy maximization is brought to inter-provincial carbon emissions allocation via the Boltzmann distribution method, which provides guidelines for allocating carbon emissions permits among provinces. The research is mainly divided into three parts: (1) We develop the CO 2 influence factor, including per capita GDP, per capita carbon emissions, carbon emission intensity and carbon emissions of per unit industrial added value; the proportion of the second industry; and the urbanization rate, to optimize the Boltzmann distribution model. (2) The probability of carbon emission reduction allocation in each province was calculated by the Boltzmann distribution model, and then the absolute emission reduction target was allocated among different provinces. (3) Comparing the distribution results with the actual carbon emission data in 2015, we then put forward the targeted development strategies for different provinces. Finally, suggestions were provided for CO 2 emission permits allocation to optimize the national carbon emissions trading market in China.

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Section: The Choice Of Permits Allocation Methods Among Regionsmentioning

confidence: 99%