4.7 Article

Assessing the operational performance and maturity of the carbon trading pilot program: The case study of Beijing's carbon market

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 161, Issue -, Pages 1263-1274

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.03.205

Keywords

Beijing; ETS pilot; Performance; Maturity; TOPSIS model

Funding

  1. Science Fund for Creative Research Groups of the National Natural Science Foundation of China [71521002]
  2. National Natural Science Foundation of China [71573013]
  3. Beijing Natural Science Fotindation of China [9152014]
  4. National Key RD Program [2016YFA0602603]
  5. Beijing Municipal Commission of Education

Ask authors/readers for more resources

On November 28, 2013, Beijing's carbon emissions trading opened on Beijing's Environmental Exchange. As one of the pilot cities, Beijing has been pursuing low-carbon development strategies under state intervention and market regulation. This paper chooses the carbon market, a medium through which Beijing manages emission reduction, as the object of study. Firstly, we compare the basic construction circumstances of Beijing with other pilot cities. Then we qualitatively analyze the development of Beijing's carbon market from the perspective of transaction status, execution of the contract, and improvement of the policies and regulations. Finally, we use the TOPSIS model to develop a comprehensive evaluation system of Beijing's carbon market. It is used to quantitatively evaluate the operational performance and maturity of the mechanism. The results show that: Beijing's carbon market has good comprehensive capabilities, ranking second place among seven pilot markets; but the maturity of Beijing's carbon market is relatively poor for insufficient market liquidity; its operations are well managed, but economic efficiency still need to be improved; the depth of transaction and the effect of reduction in emissions make it meaningful. Therefore, in order to improve the construction of Beijing's carbon market, measures should be taken as follows:(1) strengthening the quota management, and increasing carbon trading activity to avoid poor market liquidity; (2) accelerating emission reduction actions and encouraging technology innovation, such as: carrying out several policies and measures supporting new energy and energy saving & emission reduction, and increasing investment and subsidy in research and development for the technology innovation of firms etc.; (3) improving regulatory mechanism and enhancing the disclosure of carbon trading, such as: drawing lessons from the EU Emission Trading Scheme (ETS) about measuring, reporting and verification system (MRV). (C) 2017 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Geosciences, Multidisciplinary

Incorporating the transport sector into carbon emission trading scheme: an overview and outlook

Xiao-Yi Li, Bao-Jun Tang

NATURAL HAZARDS (2017)

Article Green & Sustainable Science & Technology

Carbon emissions reduction in tobacco primary Processing line: A case study in China

Qian Wang, Xiao-Yi Li, Zhan-Tao Zhang, Zhi-Lin Tao, Bao-Jun Tang

JOURNAL OF CLEANER PRODUCTION (2018)

Article Geosciences, Multidisciplinary

Research on carbon price in emissions trading scheme: a bibliometric analysis

Chang-Jing Ji, Xiao-Yi Li, Yu-Jie Hu, Xiang-Yu Wang, Bao-Jun Tang

NATURAL HAZARDS (2019)

Article Energy & Fuels

Sustainable development pathway for intercity passenger transport: A case study of China

Bao-Jun Tang, Xiao-Yi Li, Biying Yu, Yi-Ming Wei

APPLIED ENERGY (2019)

Article Green & Sustainable Science & Technology

How app-based ride-hailing services influence travel behavior: An empirical study from China

Bao-Jun Tang, Xiao-Yi Li, Biying Yu, Yi-Ming Wei

INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION (2020)

Article Green & Sustainable Science & Technology

Relative evaluation of probabilistic methods for spatio-temporal wind forecasting

Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Comparison of ethane recovery processes for lean gas based on a coupled model

Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang

Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

A novel deep-learning framework for short-term prediction of cooling load in public buildings

Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu

Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China

Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang

Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor

Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He

Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.

JOURNAL OF CLEANER PRODUCTION (2024)