scholarly journals The Carbon Emissions Efficiency and Marginal Abatement Cost in Urban of China: Non-Parametric Directional Distance Function Method

2017 ◽  
Vol 08 (03) ◽  
pp. 386-396 ◽  
Author(s):  
Jing Zhao
Keyword(s):  
Distance Function ◽  
Carbon Emissions ◽  
Function Method ◽  
Abatement Cost ◽  
Directional Distance Function ◽  
Marginal Abatement Cost ◽  
Non Parametric

Estimating the Marginal Abatement Cost of Carbon Emissions: A Non-Radial Efficiency Analysis

2014 ◽  
Vol 1073-1076 ◽  
pp. 2473-2476
Author(s):  
Li Wei Fan ◽  
Xun Zhou
Keyword(s):  
Carbon Emissions ◽  
Negative Relationship ◽  
Emission Trading ◽  
Weighted Average ◽  
Abatement Cost ◽  
Efficiency Analysis ◽  
Marginal Abatement Cost ◽  
Policy Implications ◽  
Analysis Technique ◽  
Trading Scheme

This paper employed a non-radial efficiency analysis technique, namely slacks-based measure, to calculate the marginal abatement cost of carbon emissions. The study was concerning ten manufacturing sectors that have been included in Shanghai’s pilot emission trading scheme. The empirical result shows the overall weighted average marginal abatement cost is 839.3 Yuan/ton. It also indicates that the marginal abatement cost has a negative relationship with carbon emissions. Additionally, the marginal abatement costs vary across the sample sectors. Policy implications are presented based on above results.

scholarly journals Marginal abatement cost curves for US black carbon emissions

2010 ◽  
Vol 7 (sup1) ◽  
pp. 279-288 ◽  
Author(s):  
M. C. Sarofim ◽  
B. J. DeAngelo ◽  
R. H. Beach ◽  
K. A. Weitz ◽  
M. A. Bahner ◽  
...  
Keyword(s):  
Black Carbon ◽  
Carbon Emissions ◽  
Abatement Cost ◽  
Marginal Abatement Cost ◽  
Cost Curves

scholarly journals Marginal Abatement Cost of Carbon Emissions under Different Shared Socioeconomic Pathways

2021 ◽  
Vol 13 (24) ◽  
pp. 13693
Author(s):  
Na Liu ◽  
Fu-tie Song
Keyword(s):  
Climate Change ◽  
Carbon Emissions ◽  
Climate Model ◽  
Carbon Price ◽  
Abatement Cost ◽  
Marginal Abatement Cost ◽  
Emissions Scenarios ◽  
Primary Basis ◽  
The Impact ◽  
Future Emissions

Future emissions scenarios have served as a primary basis for assessing climate change and formulating climate policies. To explore the impact of uncertainty in future emissions scenarios on major outcomes related to climate change, this study examines the marginal abatement cost (MAC) of carbon emissions under the latest Shared Socioeconomic Pathways (SSPs) subject to the economic optimum and the 1.5 °C temperature increase constraint using the Epstein-Zin (EZ) climate model. Taking the ”Regional Rivalry” (SSP3) scenario narrative under the economic optimum as a representative case, the expected MACs per ton CO2 equivalent (CO2e) emissions in the years 2015, 2030, 2060, 2100, and 2200 are: $102.08, $84.42, $61.19, $10.71, and $0.12, respectively. In parallel, the associated expected average mitigation rates (AMRs) are 0%, 63%, 66%, 81%, and 96%, respectively. In summary, in a world developing towards regional rivalry (SSP3) or fossil-fueled development (SSP5) with high mitigation pressure, the MAC values have approximately doubled, compared with the sustainability (SSP1) and inequality (SSP4) storylines with low mitigation pressure levels. The SSP2 (Middle of the Road) shows a moderate MAC decreasing trend with moderate mitigation pressure. The results provide a carbon price benchmark for policy makers with different attitudes towards the unknown future and can be used to formulate carbon mitigation strategy to respond to specific climate goals.

Marginal abatement cost of agricultural carbon emissions in China: 1993-2015

2018 ◽  
Vol 10 (4) ◽  
pp. 558-571 ◽  
Author(s):  
Xianrong Wu ◽  
Junbiao Zhang ◽  
Liangzhi You
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Crop Yields ◽  
Negative Impact ◽  
Shadow Price ◽  
Abatement Cost ◽  
Marginal Abatement Cost ◽  
Cropping Pattern ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC).Design/methodology/approachThe shadow price of agricultural carbon emissions is estimated by applying directional distance function and non-parametric methods.FindingsThe estimated shadow price of agricultural carbon emissions ranges from 6.78 to 557.83 yuan/ton, and the average value is 62.50 yuan/ton (or $10.18/ton). The MAC value varies in different provinces and years. The regional difference of MAC shows a decreasing trend during the investigation period. Cropping pattern shows a significant negative impact on agricultural MAC. A 1 percent decrease of rice proportion leads to a 0.31 percent increase in MAC value. This implies that the higher the proportion of rice is, the lower the economic cost to reduce agricultural carbon emissions would be.Practical implicationsIt is feasible to draw up appropriate mechanisms for the allocation of emission reduction responsibilities according to conditions in various regions, with emphasis on the local cropping patterns. There is a trade-off between reducing carbon emission and increasing crop yields.Originality/valueThis study calculates agricultural MAC by using the shadow price approach, taking agricultural carbon emissions as undesired environmental output. The study also provides a reference emission right price and provides guidance to make use of cropping structure adjustment and optimization for exploring the emission reduction strategy.

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