4.8 Article

Emission abatement cost in China with consideration of technological heterogeneity

Journal

APPLIED ENERGY
Volume 290, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.116748

Keywords

Heterogeneity; Economic proximity; Output directional distance function; Technical inefficiency; Marginal emission abatement cost; Emission reduction allowance

Funding

  1. National Natural Science Foundation of China [72004185]
  2. Science and Technology Projects of Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM) [RD2020060101]
  3. Fundamental Research Funds for the Central Universities [JBK1805006]

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This study proposes an improved method that combines clustering with a parametric output directional distance function for estimating marginal emission abatement costs. The research shows that the environmental efficiency of the 30 provinces in China is generally inefficient to a certain extent, and methods that do not consider technological heterogeneity can lead to inaccurate results. Additionally, China's average marginal CO2 abatement cost is increasing.
Marginal emission abatement costs play an important role in the emission trading market and in the allocation of emission reduction allowances. The traditional methods for estimating marginal emission abatement costs do not account for technological heterogeneity, which leads to biased results. To solve this problem, an improved method that combines the clustering method with a parametric output directional distance function is proposed in this paper. This method integrates the economic proximity of each examined province into its assessment of the environmental production technology of the province and takes multiple pollutants (CO2, SO2 and NOX) into consideration. Based on this method, in this paper, the environmental performance of 30 provinces in China from 2006 to 2017 is measured, the marginal emission abatement cost of CO2 is estimated, and a nonlinear programming method is used to study the optimal allocation of emission reduction in China. The results indicate the following: First, categorizing the provinces according to their economic proximity results in groups that differ greatly from geographically based groups. Second, the average inefficiency of these 30 Chinese provinces is 2.551%, which is less than that estimated by the methods that do not consider heterogeneity. Third, China?s average marginal CO2 abatement cost is 797.79 CNY/ton, and it exhibits a growing trend. Finally, compared to the grandfathering rule, the optimal quota allocation proposed by this paper can save approximately 797.793 billion CNY.

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