The Allocation of Carbon Intensity Reduction Target by 2030 among Cities in China

The regional allocation of carbon emission quotas is of great significance to realize the carbon emission target. Basing on the combination of the multi-index method and the improved equal-proportion distribution method, and fully considering the differences in economic factors, population factors,...

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Bibliographic Details
Published in:Energies (Basel) 2020-11, Vol.13 (22), p.6006
Main Authors: Shi, Longyu, Yang, Fengmei, Gao, Lijie
Format: Article
Language:English
Subjects:
Carbon dioxide
carbon intensity
Cities
Climate change
Cooperation
Data envelopment analysis
Economic development
Economic factors
Economic growth
Economics
emission-reduction target allocation
Emissions
Emissions control
Energy efficiency
Energy management
Entropy
Game theory
GDP
Gross Domestic Product
improved equal-proportion distribution method
Linear programming
Methods
multi-index method
Paris Agreement
Quotas
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Summary:The regional allocation of carbon emission quotas is of great significance to realize the carbon emission target. Basing on the combination of the multi-index method and the improved equal-proportion distribution method, and fully considering the differences in economic factors, population factors, energy factors, technological factors among cities, China’s 2030 carbon intensity reduction target was allocated. The results indicate that: (1) Under the target constraint of 60% reduction in CO2 emissions per unit of Gross Domestic Product (GDP) (carbon intensity) in 2030 compared to 2005, the carbon intensity target reduction rate (CITRR) of 285 Chinese cities is between 17.65% and 141.14%, with an average reduction rate of 51.52%; (2) the CITRR of cities presents significant spatial positive correlation, and the Global Moran I correlation index is 0.38; and (3) the distribution trend of CITRR is the same as the general trend of economic development of China, showing a basic trend of gradual decline from south to north and from coastal to inland. The allocation method takes into account fairness and efficiency, and reflects the differences between cities, so that the allocation results are likely to be accepted by all parties. Meanwhile, this method breaks the limitation of the lack of city’s data and is likely to implement in actual operation. Cities should choose distinguished low-carbon economic development paths, in combination with their characteristics of economic and social development, and carry out inter-city cooperation to promote carbon emission reduction steadily.
ISSN:1996-1073
1996-1073
DOI:10.3390/en13226006