scholarly journals Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective

Author(s):  
Junjun Zheng ◽  
Mingmiao Yang ◽  
Gang Ma ◽  
Qian Xu ◽  
Yujie He

China has been actively taking actions to control carbon emissions and promoting development of a carbon market. However, there are many disadvantages in a carbon market, owing to various designs and policies still under trial and implementation. Adopting the multi-agents technique, we constructed a framework about national carbon market to estimate the effect of a different design of policy made on the GDP (Gross Domestic Product) and environment. In particular, national and regional abatement policies were analyzed in our study. The results showed the carbon-trading mechanism can effectively reduce carbon emissions and make a negative impact on GDP. National abatement can neither be too high nor too low for reducing carbon emissions and maintaining economic stability. For different regions, the central region was impacted the most by a carbon trading mechanism, and the east region was the opposite. Moreover, the “sweeping approach” policy should be replaced by a regional “discriminating policy” because the abatement requirement to the western region was low and to the eastern region was relatively high, which is more beneficial to China’s regional development.

2019 ◽  
Vol 11 (19) ◽  
pp. 5303 ◽  
Author(s):  
Zhongyu Ma ◽  
Songfeng Cai ◽  
Weifeng Ye ◽  
Alun Gu

Linking carbon emissions trading systems across countries has become an important tool for global emission reduction. The three high-emission Asian countries, China, Japan, and South Korea (ROK), all have initiated carbon trading and published ambitious Intended Nationally Determined Contribution targets. Since 2016, the three countries have discussed establishing a long-term unified market for carbon emissions trading, and have sought a scheme for such exchange. This study aimed to investigate whether linking the carbon emissions trading systems of these three countries could potentially achieve more ambitious emission reduction targets. A dynamic energy-environmental version of the Global Trade Analysis Project model was used to simulate carbon market linkages across the three countries. The results indicated that a linked China–Japan–ROK carbon market would be highly cost-effective, have positive economic benefits for all three countries, and improve the carbon market’s liquidity and transaction scale. Under a scenario with no carbon market linking, the economic losses in China, Japan, and ROK would be $51.55 billion, $13.55 billion, and $74.19 billion, respectively. Meanwhile, with carbon trading linking, the losses would be reduced to $47.08 billion, $5.37 billion, and $9.10 billion, respectively. Therefore, a joint China–Japan–ROK carbon market could greatly promote the adoption of market-based tools for emission reduction.


2021 ◽  
pp. 79-81
Author(s):  
Lihong Jiang ◽  
Miaomiao Wang ◽  
Tongna Liu

In the context of the development of China's carbon emissions trading market, research into individual-based carbon trading markets is gradually gaining momentum. But due to the diversity of individual carbon emissions and the difculty of quantifying them, there are many challenges to realising a personal carbon trading market, and China has yet to develop a complete personal carbon trading system. Therefore, based on Beijing's tail number restriction policy, this paper designs a personal carbon trading market mechanism based on the carbon emissions generated by car use as a commodity, with a focus on trading mechanisms, and supported by incentive systems, regulatory systems and compensation systems. With the help of the "carbon reduction red envelope" trading platform to achieve the participation of two main bodies, multi-benet. The changes in carbon emissions under different scenarios are also analysed, and some of the conditions for the operation of the personal carbon trading mechanism proposed in this paper are calculated. The individual carbon trading mechanism proposed in this paper,solves the inconvenience caused by the license plate restriction policy to Chinese people, promotes the exible and systematic development of urban management, and provides ideas for the development of China's individual carbon trading market.


2021 ◽  
Vol 9 ◽  
Author(s):  
Wangzi Xu

As the country with the largest CO2 emissions in the world, the Chinese government has put forward clear goals of hitting peak carbon emissions by 2030 and carbon neutralization by 2060. Thus, China started piloting carbon emission trading in 2013, and in July 2021 China opened national carbon trading, which is the largest carbon market in the world (China Launches World, 2021). Therefore, it is very important for China to study the role and mechanism of carbon trading at present. Based on the quasi-natural experiment of China’s carbon market pilot, this paper uses panel data of 30 provinces in mainland China from 2008 to 2019 to conduct an empirical study on carbon emission reduction and the economic effects in China’s pilot provinces through a Time-varying Differences-in-Differences method model. The results show that the implementation of a carbon trading policy can significantly inhibit carbon emissions and promote economic growth. At the same time, this paper further analyzes the emission reduction mechanism of the carbon emissions trading policy through the intermediary effect test and finds that the policy mainly realizes carbon emission reduction by changing the energy consumption structure, promoting low-carbon innovation, and upgrading the industrial structure. In addition, innovative research has found the impact of a carbon price signal and marketization on the emission reduction effect of the carbon market. Finally, targeted suggestions are put forward.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Simin Zhang ◽  
Qi Li

According to China’s 14th Five-Year Development Plan, China aims to peak its carbon emissions by 2030 and achieve carbon neutral by 2060, which will be a major strategy for China to implement in the coming period of time. All kinds of industries need to take the industry characteristics into account and gradually form relative carbon reduction targets according to the National Carbon Summit Action Program. Under the constraints of carbon emission reduction, enterprises face trade-off when making emission reduction decisions. How to systematically optimize the profitable and environmentally friendly decisions, under the consideration of carbon emission production, is gradually becoming a main concern of regulated enterprises. In this paper, a Cournot game model is constructed to explore optimal production carbon abatement decisions for two oligopolistic firms, under the governance of a cap-and-trade mechanism. Real case data collected from China’s airlines is an example to test the validity of our model. The qualitative analysis shows that, through a reasonable output and emission reduction investment, companies are capable of efficiently minimizing the negative impact brought about by the carbon trading system. A numerical experiment indicates that the companies on one side can reach a decision equilibrium in some circumstances, but on the other side, there exists a lack of incentive to reduce their emissions. Additional government incentives or increased investment in technological improvements will be needed to encourage companies to further reduce carbon emissions. In this paper, while analyzing the choice of emission reduction strategy for enterprises under the carbon trading system, it also provides effective emission reduction approaches for the government and industry managers, hoping to provide some references for the establishment of emission reduction system and policy formulation.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1717
Author(s):  
Liang Shen ◽  
Xiaodi Wang ◽  
Qinqin Liu ◽  
Yuyan Wang ◽  
Lingxue Lv ◽  
...  

Considering the carbon trading mechanism and consumers’ preference for low-carbon products, a game decision-making model for the low-carbon e-commerce supply chain (LCE-SC) is constructed. The influences of commission and carbon trading on the optimal decisions of LCE-SC are discussed and then verified through numerical analysis. On this basis, the influence of carbon trading on regional sustainable development is empirically analyzed. The results show that the establishment of carbon trading pilots alleviates the negative impact of unfair profit distribution. Increasing the commission rate in a reasonable range improves the profitability of LCE-SC. Nevertheless, with the enhancement of consumers’ low-carbon preference, a lower commission rate is more beneficial to carbon emission reduction. The total carbon emission is positively related to the commission rate. However, the unit carbon emission decreases first and then increases with the commission rate. The influence of the carbon price sensitivity coefficient on the service level is first positive and then negative, while the influence on the manufacturer’s profit goes the opposite. The empirical analysis confirms that the implementation of carbon trading is conducive to regional sustainable development and controlling environmental governance intensity promotes carbon productivity.


2021 ◽  
Vol 233 ◽  
pp. 01096
Author(s):  
Ning Ruoyu ◽  
Liu Yisheng

We will promote the establishment of a unified national carbon market, effectively control and gradually reduce carbon emissions, and contribute to the reduction of carbon emissions, it is of great significance to promote the economic transformation to green and low-carbon. Based on the time series of carbon price, this paper conducts exploratory research on the effectiveness of the carbon trading market in eight pilot regions, uses the fractal market hypothesis, adopts the re-rating difference analysis method, takes the effective carbon price of each pilot every day as the research variable, and empirically analyzes the effectiveness of the pilot carbon market.


2021 ◽  
Author(s):  
Qiang Cui ◽  
Ye Li

Abstract This paper seeks to calculate the overall emissions of China’s 413 main domestic routes in 2018, containing the Landing and Take-Off (LTO) emissions and Climb/Cruise/Descent (CCD) emissions. First, the standard calculation method of LTO emissions proposed by the International Civil Aviation Organization (ICAO) is applied to calculate the LTO emissions of 413 routes and 40 airlines. Next, the modified Fuel Percentage Method (MFPM) is used to calculate the CCD emissions of main aircraft types at various distances. Then the overall emissions are split into the Provincial Administrative Regions (PARs) on the routes to discuss the probable carbon compensations, which is the core to build an aviation carbon trading mechanism. China Southern Airlines, China Eastern Airlines, and Air China are the top three airlines in emissions. Guangdong has the most carbon emissions from airlines, but it may get the third most carbon compensation from the airlines.


2021 ◽  
Vol 2 (1) ◽  
pp. 32-39
Author(s):  
Jassinca Chrissma Audina ◽  
Rais ◽  
Lilies Handayani

Money is a tool that can be used in exchanging goods and services in a certain area. Increasing and decreasing in the money supply excessively can have a negative impact on the economy. For this reason, in order to maintain financial system stability in Indonesia, it is necessary to conduct an analysis of the data on the amount of outflows of rupiah currency at each Bank Indonesia office. In this study, a relationship analysis will be carried out between the eastern region of Indonesia and the amount of outflows of Bank Indonesia banknotes during the 2016-2018 period using circular regression analysis. The results showed that 83.03% of the variation in the amount of outflows of BI banknotes could be explained by the circular regression model that was formed. In addition, in the process of forecasting data on the amount of outflows of BI banknotes in the eastern region of Indonesia for the 2019-2020 period, the time series forecasting method is used which is based on the use of analysis of the relationship pattern between the estimated variables and the time variable.


2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.


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