Abstract
As the main source of CO2 emissions in China, the industrial sector has faced pressure for reducing emissions. To achieve the target of 50% reduction of industrial carbon intensity by 2020 based on the 2005 level, it is urgent to formulate specific CO2 emission mitigation strategies in the provincial industrial sector. In order to provide decision-making support for the development and implementation of mitigation policy, our undesirable slack based measure (SBM) model is firstly applied to evaluate the industrial CO2 emission efficiency under total-factor frame (TFICEE) in 13 prefecture-level cities of Jiangsu Province, the largest CO2 emitter in China. Then, we analyze space-time distribution and distributional evolution tendency of TFICEE by using the GIS visualization method and kernel density estimation, respectively. Finally, we utilize the industrial abatement model to estimate the CO2 abatement potential of Jiangsu’s industrial sector. The empirical results show that there exists a significant spatial inequality of TFICEE across various regions in Jiangsu, but the regional disparity has been narrowing during our study period. Additionally, average annual industrial CO2 emission reductions in Jiangsu Province can attain 15,654.00 (ten thousand tons), accounting for 28.2% of its average annual actual emissions, which can be achieved by improving production technology, adjusting industrial structure and raising the level of industry concentration.
Highlights
With increasingly serious global climate anomalies, climate change has become one of the most severe challenges faced by humankind in the 21st century
With the slack based measure (SBM)-Undesirable model, in this paper, we firstly studied annual industrial CO2 emission efficiency of 13 prefecture-level cities in Jiangsu Province from 2004 to 2013
Based on industrial abatement model, we worked out average annual industrial abatement potential and potential emission reductions of various regions in Jiangsu Province
Summary
With increasingly serious global climate anomalies, climate change has become one of the most severe challenges faced by humankind in the 21st century. An increasing number of countries are concerned with mitigating energy consumption and CO2 emissions. China, the world’s largest CO2 emitter since 2007, accounted for 28% of global total CO2 emissions in 2013 [1], as a result of its rapid urbanization and industrialization. How to effectively reduce ICE is a key to achieving the national CO2 emission reduction targets. In order to tackle climate change and extenuate the rapid growth of ICE, China promised to abate its industrial carbon intensity (defined as CO2 emissions per unit of industrial added value) by 50% of 2005 levels by 2020 in 2014 [4]
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