scholarly journals Heterogeneity of consumption-based carbon emissions and driving forces in Indian states

2021 ◽  
pp. 100039
Author(s):  
Qi Huang ◽  
Heran Zheng ◽  
Jiashuo Li ◽  
Jing Meng ◽  
Yunhui Liu ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Indian States

scholarly journals Carbon emissions and driving forces of China’s power sector: Input-output model based on the disaggregated power sector

2020 ◽  
Vol 268 ◽  
pp. 121925 ◽  
Author(s):  
Fang Luo ◽  
Yi Guo ◽  
Mingtao Yao ◽  
Wenqiu Cai ◽  
Meng Wang ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Input Output ◽  
Power Sector ◽  
Model Based

scholarly journals Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China’s manufacturing at city level

2020 ◽  
Vol 15 (7) ◽  
pp. 074020
Author(s):  
Yongxian Su ◽  
Yilong Wang ◽  
Bo Zheng ◽  
Philippe Ciais ◽  
Jianping Wu ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Industrial Carbon ◽  
Reduction Potentials

Carbon emissions and driving forces of an island economy: A case study of Chongming Island, China

2020 ◽  
Vol 254 ◽  
pp. 120028 ◽  
Author(s):  
Wenqiu Cai ◽  
Xuemei Song ◽  
Pengfei Zhang ◽  
Zengcheng Xin ◽  
Yang Zhou ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Chongming Island

Trend and driving forces of Beijing's black carbon emissions from sectoral perspectives

2016 ◽  
Vol 112 ◽  
pp. 1272-1281 ◽  
Author(s):  
Jing Meng ◽  
Junfeng Liu ◽  
Shan Guo ◽  
Jiashuo Li ◽  
Zhi Li ◽  
...  
Keyword(s):  
Black Carbon ◽  
Carbon Emissions ◽  
Driving Forces

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.

China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines

2014 ◽  
Vol 35 ◽  
pp. 231-243 ◽  
Author(s):  
Yongxian Su ◽  
Xiuzhi Chen ◽  
Yong Li ◽  
Jishan Liao ◽  
Yuyao Ye ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Energy Consumptions
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