Sharing emission space at an equitable basis: Allocation scheme based on the equal cumulative emission per capita principle

Pan, Xunzhang; Teng, Fei; Wang, Gehua

doi:10.1016/j.apenergy.2013.07.021

Cited by 99 publications

(44 citation statements)

References 32 publications

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“…Equation (4) was used to estimate the amount of CO2 sequestration by forests and green lands [34]. Green lands refer to urban gardens and green spaces that are evergreen and have the absorption capacity of CO2 such as forests: (4) where is the area of forests (hm 2 ), is the area of green lands (hm 2 ), and is the sequestration coefficient, for the sequestration amount per hectare per year. The carbon sequestration by Chinese forests has been estimated by many scientists.…”

Section: Figurementioning

confidence: 99%

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Temporal and Spatial Variations in Provincial CO2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan

Deng

Liu

2015

Energies

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This study calculated the provincial carbon dioxide (CO2) emissions in China, analyzed the temporal and spatial variations in emissions, and determined the emission intensity from 2005 to 2015. The total emissions control was forecasted in 2015, and the reduction pressure of the 30 provinces in China was assessed based on historical emissions and the 12th five-year (2011-2015) reduction plan. Results indicate that CO2 emissions eventually increased and gradually decreased from east to west, whereas the emission intensity ultimately decreased and gradually increased from south to north. By the end of 2015, the total control of provincial emissions will increase significantly compared to the 2010 level, whereas the emission intensity will decrease. The provinces in the North, East, and South Coast regions will maintain the highest emission levels. The provinces in the Southwest and Northwest regions will experience a rapid growth rate of emissions. However, the national emission reduction target will nearly be achieved if all provinces can implement reduction targets as planned. Pressure indices show that the South Coast and Northwest regions are confronted with a greater reduction pressure of emission intensity. Finally, policy implications are provided for CO2 reductions in China.

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Section: Figurementioning

confidence: 99%

“…Historical emissions provided the foundation for burden sharing of global CO2 emissions responsibility in the future. Cumulative emissions [3] or per capita cumulative emissions [4] are adopted as the standard for burden sharing. The major emitters need to reduce emissions while maintaining economic development.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Variations in Provincial CO2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan

Deng

Liu

2015

Energies

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“…Pan et al [40] allocated carbon permits according to per capita cumulative carbon emissions to achieve a global fair carbon emission space. For carbon emissions trading in the initial allocation of carbon permits problems, Park [41] considered the fairness of the participating country and proposed the Boltzmann distribution method which used the maximum entropy principle of carbon emissions trading in the initial allocation of carbon.…”

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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“…The equal cumulative per-capita emissions approach (EPPCE) was based on the scheme proposed by Pan, Teng, and Wang (2014). In this approach, all countries' per capita emissions converge at some future point, as in the EQ2030 and EQ2050 approaches.…”

Section: Equal Cumulative Per Capita Emissions: Eppce2030 and Epcce2050mentioning

confidence: 99%

National contributions to climate change mitigation from agriculture: allocating a global target

2018

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Globally, agriculture and related land use change contributed about 17% of the world's anthropogenic GHG emissions in 2010 (8.4 GtCO 2 e yr −1 ), making GHG mitigation in the agriculture sector critical to meeting the Paris Agreement's 2°C goal. This article proposes a range of country-level targets for mitigation of agricultural emissions by allocating a global target according to five approaches to effort-sharing for climate change mitigation: responsibility, capability, equality, responsibility-capability-need and equal cumulative per capita emissions. Allocating mitigation targets according to responsibility for total historical emissions or capability to mitigate assigned large targets for agricultural emission reductions to North America, Europe and China. Targets based on responsibility for historical agricultural emissions resulted in a relatively even distribution of targets among countries and regions. Meanwhile, targets based on equal future agricultural emissions per capita or equal per capita cumulative emissions assigned very large mitigation targets to countries with large agricultural economies, while allowing some densely populated countries to increase agricultural emissions. There is no single 'correct' framework for allocating a global mitigation goal. Instead, using these approaches as a set provides a transparent, scientific basis for countries to inform and help assess the significance of their commitments to reducing emissions from the agriculture sector.

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Sharing emission space at an equitable basis: Allocation scheme based on the equal cumulative emission per capita principle

Cited by 99 publications

References 32 publications

Temporal and Spatial Variations in Provincial CO2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan

Temporal and Spatial Variations in Provincial CO2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan

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

National contributions to climate change mitigation from agriculture: allocating a global target

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