scholarly journals CO2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis

2017 ◽  
Vol 9 (6) ◽  
pp. 932 ◽  
Author(s):  
Zhencheng Xing ◽  
Jigan Wang ◽  
Jie Zhang
Keyword(s):  
Co2 Emission ◽  
Emission Trading ◽  
Abatement Cost ◽  
Marginal Abatement Cost ◽  
Emission Trading Scheme ◽  
Mitigation Potential ◽  
Frontier Analysis ◽  
Emission Performance ◽  
Trading Scheme

Do environmental policy and innovation improve carbon productivity? Evidence from the Korean Emission Trading Scheme

2021 ◽  
pp. 0958305X2110645
Author(s):  
Jung Youn Mo
Keyword(s):  
Environmental Policy ◽  
Environmental Performance ◽  
Panel Data Analysis ◽  
Emission Trading ◽  
Emission Trading Scheme ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Trading Scheme ◽  
Carbon Productivity ◽  
D Investment

This study investigates the relationship among technology innovation, emission trading schemes, and carbon productivity based on data from firms participating in the Korean Emission Trading Scheme. First, the total factor carbon productivity based on stochastic frontier analysis is estimated by industry and it is confirmed that changes in carbon productivity vary by industry. Based on the estimated carbon productivity, panel data analysis is conducted to determine the effects of innovation and environmental policy on carbon productivity. The results show that R&D investment and environmental policy play an important role in promoting carbon productivity. In this study, the factors affecting carbon productivity are also analyzed by industry. Comparative analysis across industries confirms that factors affecting environmental performance vary by industry. Innovation does not significantly affect carbon productivity in assembling industries, but in the process industry, R&D investment plays an important role in increasing environmental performance.

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 Can Emission Trading Scheme Improve Carbon Emission Performance? Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Yuhua Zheng ◽  
Xiaoyang Sun ◽  
Chenyu Zhang ◽  
Daojuan Wang ◽  
Ju Mao
Keyword(s):  
Carbon Emission ◽  
Emission Trading ◽  
Listed Companies ◽  
Policy Implications ◽  
Emission Trading Scheme ◽  
Emission Performance ◽  
The Difference ◽  
Reduce Emissions ◽  
Trading Scheme ◽  
The Impact

This paper explores the effect of China’s emission trading scheme (ETS) pilot policy implemented during 2013-2014 on carbon emission performance. Adopting the Difference-in-Difference (DID) model, we find that: 1) China’s ETS pilot policy can significantly improve the carbon emission performance of listed companies in the pilot provinces. 2) The heterogeneity analysis shows that the carbon emission performance of listed companies in the eastern coastal pilot areas has improved significantly, which is not significant in the central and western pilot areas. 3) We find that China’s ETS pilot policy can significantly improve innovation capabilities of listed companies, suggesting that innovation is a channel for the impact of the China’s ETS pilot policy on carbon emission performance in the pilot provinces. Overall, our study shows that ETS pilot policy has played a governance role in China and improved carbon emission performance. We further highlight some important policy implications with respect to helping companies save energy and reduce emissions, and promoting the further improvement of China’s ETS pilot policy.

Determinants of firm-level energy productivity – Evidence from the Korean emission trading scheme

2021 ◽  
pp. 0958305X2110292
Author(s):  
Jung Youn Mo ◽  
Wooyoung Jeon
Keyword(s):  
Environmental Policy ◽  
Panel Data Analysis ◽  
Emission Trading ◽  
Innovation Activity ◽  
Level Energy ◽  
Emission Trading Scheme ◽  
Energy Productivity ◽  
Firm Level ◽  
Frontier Analysis ◽  
Trading Scheme

With increasing global pressure on transition to carbon neutrality, various technical and policy efforts such as emission trading scheme and carbon tax are being made to improve energy productivity. Yet, there are not many literatures that analyze determinants of firm-level energy productivity, which is an important issue as energy use in industry accounts for one fourth of global carbon emission. This study investigates factors affecting energy productivity such as technology innovation, environmental policy and energy price based on firm-level data from the Korean Emission Trading Scheme (KETS). The total factor energy productivity is estimated by industry based on stochastic frontier analysis (SFA) and panel data analysis is performed to identify determinants of firm-level energy productivity. The results show that energy productivity in Korea has been improved since 2016, and technical progress and environmental policy play an important role in promoting energy productivity. In addition, analysis identifying industry-specific characteristics is performed as their production process and energy consumptions structures vary. The result shows that innovation activity does not significantly affect energy productivity in process industries, but it does in the assembling and high technology industries. This paper implies that policy design reflecting industry-specific characteristics is important to improve energy efficiency more effectively.

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