Spatial Spillover Effect of Carbon Emissions Trading on Carbon Emissions Reduction Empirical Data from Pilot Regions in China

2021 ◽  
Author(s):  
Zhiguo Li ◽  
Jie Wang
Keyword(s):  
Carbon Emissions ◽  
Empirical Data ◽  
Emissions Trading ◽  
Spillover Effect ◽  
Emissions Reduction ◽  
Spatial Spillover ◽  
Carbon Emissions Trading ◽  
Carbon Emissions Reduction ◽  
Spatial Spillover Effect

scholarly journals The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing

2019 ◽  
Vol 11 (11) ◽  
pp. 3099 ◽  
Author(s):  
Shengxian Ge ◽  
Xianyu Yu ◽  
Dequn Zhou ◽  
Xiuzhi Sang
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Emissions Trading ◽  
Negative Impact ◽  
Economic Cost ◽  
Pollutant Emission ◽  
Emissions Reduction ◽  
Regional Environment ◽  
Carbon Emissions Trading ◽  
Pollution Rights

To control growing environmental problems, the pollution rights trading (PRT) center was established in Jiaxing in 2007, and China officially joined the carbon emission reduction market (NCET) in 2011. Since power enterprises are the main participants in the NCET market and PRT market, the integrated effect of the NCET market and PRT market on power enterprise profit and the regional environment is one of the major issues that needs to be taken into consideration. Based on system dynamics (SD) theory, we propose an NCET-PRT simulation model for power enterprises in Chongqing. Through analyzing parameters of carbon trading price, free ratio, and emission trading prices, 12 different simulation scenarios are configured for sensitivity analysis. Based on the simulation results, the following observations can be obtained: (1) NCET and PRT can effectively promote the performance of enterprises’ carbon emissions reduction and regional pollutant emission reduction but will have a minor negative impact on the industrial economy at the same time; (2) The trading mechanism is interactive; if the carbon emissions trading (NCET) mechanism is implemented separately, the emission of pollutants will be reduced significantly. However, the implementation of pollution rights trading (PRT) alone cannot significantly reduce CO2 emissions; (3) At an appropriate level, NCET and PRT can be enhanced to achieve a maximum emissions reduction effect at a minimum economic cost.

scholarly journals China’s Carbon Emissions Trading: Lessons from the Pilot Systems

2016 ◽  
Vol 23 ◽  
pp. 94
Author(s):  
Zhoudan Xie
Keyword(s):  
Carbon Emissions ◽  
Empirical Data ◽  
Emissions Trading ◽  
Lessons Learned ◽  
Trading System ◽  
Comprehensive Review ◽  
Carbon Emissions Trading ◽  
And Performance ◽  
Emissions Trading System

This paper examines China’s seven carbon emissions trading pilot systems, which launched beginning in 2013 to inform the design of China’s upcoming nationwide carbon emissions trading system. It analyzes the seven pilots’ policy features and performance through a comprehensive review of prior studies, existing regulations, and empirical data. Finally, it highlights several lessons learned from the pilot systems and their ramifications for the implementation of the national carbon emissions trading system.

The Study of Building Industrialization Development Mode Based on Carbon Emissions Trading

2012 ◽  
Vol 178-181 ◽  
pp. 726-732
Author(s):  
Ling Zhi Sun ◽  
Xin Hua Wu
Keyword(s):  
Carbon Emissions ◽  
Emissions Trading ◽  
Market Failure ◽  
Supply And Demand ◽  
Market Mechanism ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Development Mode ◽  
Carbon Emissions Trading ◽  
Traditional Mode

Building industrialization has great significance to change the traditional mode of construction production,helps to achieve the goal of energy saving and emissions reduction, and promotes the sustainable development.The paper analyzes the low carbon characteristics of building industrialization products and the market failure caused by external economy, introduces the market mechanism of carbon emissions trading,which makes supply and demand of building industrialization products to approach or achieve the optimal state of Pareto. From the consideration of reasonable interest demand of the main party in life cycle, the paper brings forward the building industrialization development mode based on carbon emissions trading, and makes supporting measures from seting up the mechanism of carbon emissions trading,constructing the mechanism of information sharing, levying waste disposal fee and so on.

scholarly journals Spatial Spillover and the Influencing Factors Relating to Provincial Carbon Emissions in China Based on the Spatial Panel Data Model

2018 ◽  
Vol 10 (12) ◽  
pp. 4739 ◽  
Author(s):  
Xin Tong ◽  
Xuesen Li ◽  
Lin Tong ◽  
Xuan Jiang
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Data Model ◽  
Spillover Effect ◽  
Panel Data Model ◽  
Spatial Spillover ◽  
Spatial Panel ◽  
Spatial Panel Data Model ◽  
Spatial Panel Data ◽  
Spatial Spillover Effect

From the perspective of spatial geography, this paper verifies the spatial dependence of China’s provincial carbon emissions. The contribution of impact factors with different fields of view to carbon emissions’ growth is estimated based on the spatial panel data model, t. The study found that during 2000–2015, China’s energy-related carbon emissions in the provinces were dependent on the spatial, and the spatial spillover effect of carbon emissions and its influencing factors in the neighboring provinces are obvious. It was also found that economic growth, industrial structure, financial development, and urbanization rates are positive, and the effect of the population and technological progress on reducing carbon emissions is significant. The effect of source price, export dependence, and fiscal decentralization on carbon emissions’ growth did not pass a significance test. In the formulation of carbon emission-related policies and development plans, the government must consider the effect of the influencing factors affecting the carbon emissions in the adjacent area and combine the carbon emissions and spatial spillover effect of the related factors in order to reduce carbon emissions in the time dimension and the spatial dimension of China as a whole.

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