The Theoretical and Empirical Research on Pricing of China's Carbon Emission Permits

2012 ◽  
Vol 524-527 ◽  
pp. 2474-2481
Author(s):  
Zhi Gang Huang ◽  
Jiao Ling Xie ◽  
Wen Ping Wu

Carbon emissions permits has its own particularity,and with the development of carbon finance,carbon emissions permits possess the commodity attributes and financial attributes.So its price isn’t determined only by the relationship of commodity supply and demand,but also affected by a variety of factors.But because the transaction data is not available,so the pricing of the carbon emissions permits can not really consider from the angle of the influencing factors of price.Therefore, this paper is on the basis of previous studies using mathematical tools and introducing the option pricing mechanism to study th pricing of China's carbon emissions permits basing on carbon emissions,which is designed for providing reference on the pricing of China's carbon emissions,being of both theoretical and practical significance.

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.


2013 ◽  
Vol 734-737 ◽  
pp. 1929-1932
Author(s):  
Yang Yu ◽  
Cui Du ◽  
Xian Lei Xu ◽  
Chen Cheng Hu ◽  
Ji Yong Zeng ◽  
...  

Based on the land use and land cover changes from 1995 to 2010, the relationship of land use and carbon emissions was estimated, using existing calculate model Change of land use-carbon emissions. The carbon emissions caused by farmland, forest, garden plot, and construction land were estimated, furthermore, the influence of carbon emission was revealed. Finally, the problems that facing G.D. province in the view of carbon reduction was analyzed, and several suggestions was brought out.


2013 ◽  
Vol 7 (1) ◽  
pp. 9-13
Author(s):  
Honglei Tang ◽  
Guofang Song

This paper mainly studied the influence on the carbon emission permits and trading on the production strategy for manufacturing enterprises. The enterprises might obtain carbon emission permits in three different ways, i.e. government quota, market trading and purification treatment. The enterprises must make a tradeoff between them. The characteristic of purifying cost was analyzed. Then, an optimal production model with carbon emission permits and trading was established. Finally, a typical numerical experiment was employed to show the influence of the parameters on optimal production decisions.


2019 ◽  
Vol 11 (3) ◽  
pp. 914 ◽  
Author(s):  
Jianguo Zhou ◽  
Yushuo Li ◽  
Xuejing Huo ◽  
Xiaolei Xu

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon abatement efficiency. In this study, industrial carbon emissions permits are allocated to 37 sub-sectors of China to reach the emission reduction target of 2030 considering the carbon marginal abatement cost, carbon abatement responsibility, carbon abatement potential, and carbon abatement capacity. A hybrid approach that integrates data envelop analysis (DEA), the analytic hierarchy process (AHP), and principal component analysis (PCA) is proposed to allocate carbon emission permits. The results of this study are as follows: First, under the constraint of carbon intensity, the carbon emission permits of the total industry in 2030 will be 8792 Mt with an average growth rate of 3.27%, which is 1.57 times higher than that in 2016. Second, the results of the carbon marginal abatement costs show that light industrial sectors and high-tech industrial sectors have a higher abatement cost, while energy-intensive heavy chemical industries have a lower abatement cost. Third, based on the allocation results, there are six industrial sub-sectors that have obtained major carbon emission permits, including the smelting and pressing of ferrous metals (S24), manufacturing of raw chemical materials and chemical products (S18), manufacturing of non-metallic mineral products (S23), smelting and pressing of non-ferrous metals (S25), production and supply of electric power and heat power (S35), and the processing of petroleum, coking, and processing of nuclear fuel (S19), accounting for 69.23% of the total carbon emissions permits. Furthermore, the study also classifies 37 industrial sectors to explore the emission reduction paths, and proposes corresponding policy recommendations for different categories.


2010 ◽  
Vol 113-116 ◽  
pp. 484-487 ◽  
Author(s):  
Ming Ming Wu

As one of the carbon trade mechanisms ratified by Tokyo Protocol, the Carbon Emission Permits Trade has played a significant role of offsetting the global warming problem. This paper introduces the international carbon emissions trading market mechanisms, transaction type, and volume and price, and then analyses the status of carbon emissions trading at home and abroad. Finally, the author puts forward construction carbon emissions trading in China.


2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.


2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.


2014 ◽  
Vol 1065-1069 ◽  
pp. 3030-3034
Author(s):  
Nai Ping Zhu ◽  
Qi Zhao ◽  
Yang Shen

For the purpose of encouraging enterprises to save energy and reduce emissions from the internal demand and providing insight and inspiration to future study,this article not only describes the carbon finance coefficient model based on factors related to carbon finance but also establishes cost estimation model of carbon emissions according to the factors affecting the cost of carbon emissions and carbon finance coefficient.The resulted shows that carbon emissions currency cost namely the monetary costs of carbon emissions is the market value and the currency value of carbon emissions cost based on the financial market conditions.The result of the present work introduces that the cost of carbon emission has a correlation with prevention costs,cost control,carbon content,industrial added value,carbon finance index and so on so that governments and enterprises should take some measures such as perfecting carbon finance system and setting up the cost control of system consciousness to reduce the cost of carbon emissions and protect our environment.


2018 ◽  
Vol 1 (2) ◽  
pp. 97-112
Author(s):  
Zalida Afni ◽  
Lindawati Gani ◽  
Chaerul D Djakman ◽  
Elvia Sauki

This research aims to test the influence of the green strategy and green investment against disclosure of carbon emissions. Global warming leads to extreme climate change in various places around the world including in Indonesia. There is strong evidence that it is caused by human activity, mainly from burning fossil fuels so as to have an impact on the increasing greenhouse gases. One of the company's efforts in reducing the impact of carbon emissions is by disclosure of carbon emissions. Research on the relationship of the disclosure of carbon emissions by a factor of green strategy and green investments at private sector organization is still relatively limited and there are differences in the methods used. This research contributes to providing empirical evidence about the influence of the green strategy and green investment against disclosure of carbon emissions. Research on the relationship of the disclosure of carbon emissions by a factor of green strategy and green investments at private sector organization is still relatively limited and there are differences in the methods used. This research contributes to providing empirical evidence about the influence of the green strategy and green investment against disclosure of carbon emissions. This research using a sample of companies listed on stock exchanges in the country which is included in the rate of carbon emissions in the world, namely Indonesia and German. This study uses data from the 2014-2016 period in the annual report and the corporate sustainability report. The results showed that there is a significant influence of the green strategy and green investment against disclosure of carbon emissions


Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 706 ◽  
Author(s):  
Xianxian Pan ◽  
Hong Liu ◽  
Jiajia Huan ◽  
Yu Sui ◽  
Haifeng Hong

The electric power industry plays a vital role in carbon emissions reduction efforts. The initial allocation of carbon emission permits to the electric power industry is the key to ensuring the effective operation of the carbon trading market. In this study, the multiple correlated factors that affect the carbon emission permit allocation system were extracted. Then, based on the experts’ knowledge and experience, the subjective weight of each index was determined using an improved analytic hierarchy process. Subsequently, the indices were mapped using an improved entropy weight method, and the objective weight of each index was adaptively determined. Finally, the comprehensive weight of each index was determined by optimizing the combination of its subjective and objective weights, and an allocation model of carbon emission permits for the electric power industry was established. A case study of a province by comparative simulation was performed. The simulation results showed that compared with conventional allocation schemes that consider single factors, the theoretical estimates obtained using the proposed model more objectively reflected the actual situation of carbon emissions reduction permits and responsibilities in the region.


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