scholarly journals Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020

Energies ◽  
2016 ◽  
Vol 9 (5) ◽  
pp. 329 ◽  
Author(s):  
Shihong Zeng ◽  
Yan Xu ◽  
Liming Wang ◽  
Jiuying Chen ◽  
Qirong Li
Keyword(s):  
Carbon Emission ◽  
Allocative Efficiency ◽  
Financial Assets ◽  
Emission Allowance ◽  
Provincial Level

scholarly journals Modeling persistence of carbon emission allowance prices

2016 ◽  
Vol 55 ◽  
pp. 221-226 ◽  
Author(s):  
Luis A. Gil-Alana ◽  
Rangan Gupta ◽  
Fernando Perez de Gracia
Keyword(s):  
Carbon Emission ◽  
Emission Allowance

Analysis of driving factors and allocation of carbon emission allowance in China

2019 ◽  
Vol 673 ◽  
pp. 74-82 ◽  
Author(s):  
Ang Yu ◽  
Xinru Lin ◽  
Yiting Zhang ◽  
Xia Jiang ◽  
Lihong Peng
Keyword(s):  
Carbon Emission ◽  
Driving Factors ◽  
Emission Allowance

scholarly journals Understanding the Driving Patterns of the Carbon Emissions in Transport Sector in China: A Panel Data Analysis and Zoning Effect

2018 ◽  
Author(s):  
Danting Lin ◽  
Rongzu Qiu ◽  
Xisheng Hu ◽  
Jiankai Wang ◽  
Lanyi Zhang ◽  
...  
Keyword(s):  
Panel Data ◽  
Carbon Emissions ◽  
Inner Mongolia ◽  
Carbon Emission ◽  
Driving Forces ◽  
Panel Data Analysis ◽  
Transport Sector ◽  
Significant Variable ◽  
Provincial Level ◽  
Per Capita

China’s transportation industry has made rapid progress, which has led to a mass of carbon emissions. However, it is still unclear how the carbon emission from transport sector is punctuated by shifts in underlying drivers. This paper aims to examine the process of China’s carbon emissions from transport sector as well as its major driving forces during the period of 2000 to 2015 at the provincial level. We firstly estimate the carbon emissions from transport sector at the provincial level based on the fuel and electricity consumption using a top-down method. We find that the carbon emission per capita is steadily increasing across the nation, especially in the provinces of Chongqing and Inner Mongolia. However, the carbon emission intensity is decreasing in most provinces of China, except in Yunnan, Qinghai, Chongqing, Zhejiang, Heilongjiang, Jilin, Inner Mongolia, Henan and Anhui. We then quantify the effect of socio-economic factors and their regional variations on the carbon emissions using panel data model. The results show that the development of secondary industry is the most significant variable in both the entire nation level and the regional level, while the effects of the other variables vary across regions. Among these factors, population density is the main motivator of the increasing carbon emissions per capita from transport sector for both the whole nation and the western region, whereas the consumption level per capita of residents and the development of tertiary industry are the primary drivers of per capita carbon emissions for the eastern and central region.

New progress in global climate governance: A review on the allocation of regional carbon emission allowance

2020 ◽  
Vol 40 (1) ◽  
Author(s):  
方恺 FANG Kai ◽  
李帅 LI Shuai ◽  
叶瑞克 YE Ruike ◽  
张琦峰 ZHANG Qifeng ◽  
龙吟 LONG Yin
Keyword(s):  
Carbon Emission ◽  
Global Climate ◽  
Climate Governance ◽  
Emission Allowance
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