The simple analytics of greenhouse gas emission intensity reduction targets

Energy Policy ◽  
2005 ◽  
Vol 33 (17) ◽  
pp. 2231-2236 ◽  
Author(s):  
Charles D. Kolstad
2014 ◽  
Vol 48 (13) ◽  
pp. 7612-7624 ◽  
Author(s):  
Amgad Elgowainy ◽  
Jeongwoo Han ◽  
Hao Cai ◽  
Michael Wang ◽  
Grant S. Forman ◽  
...  

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 578-578
Author(s):  
A. W. Alemu ◽  
H. Janzen ◽  
S. Little ◽  
X. Hao ◽  
D. Thompson ◽  
...  

2020 ◽  
Vol 239 ◽  
pp. 104091
Author(s):  
Stine Samsonstuen ◽  
Bente A. Åby ◽  
Paul Crosson ◽  
Karen A. Beauchemin ◽  
Marit S. Wetlesen ◽  
...  

2018 ◽  
Vol 10 (7) ◽  
pp. 2492 ◽  
Author(s):  
Tianyi Cai ◽  
Degang Yang ◽  
Xinhuan Zhang ◽  
Fuqiang Xia ◽  
Rongwei Wu

China’s carbon intensity (CI) reduction target in 2030 needs to be allocated to each province in order to be achieved. Thus, it is of great significance to study the vertical linkage of CI change between China and its provinces. The existing research on the vertical linkage focuses more on energy-related economic sectors in China; however, attention has not been paid to China’s animal husbandry (AH) sector, although the role of the China’s AH sector in greenhouse gas (GHG) reduction is increasingly important. This study firstly established a vertical linkage of change in greenhouse gas emission intensity of the animal husbandry sector (AHGI) between China and its 31 provinces based on the logarithmic mean Divisia index (LMDI) decomposing method from the perspective of combining emission reduction with economic development, and quantified the contributions of each province and its three driving factors of environmental efficiency (AHEE), productive efficiency (AHPE), and economic share (AHES) to reducing China’s AHGI during the period of 1997–2016. The main results are: (1) The AHGI of China decreased from 5.49 tCO2eq/104 yuan in 1997 to 2.59 tCO2eq/104 in 2016, showing a 75.25% reduction. The AHGI in 31 provinces also declined and played a positive role in promoting the reduction of national AHGI, but there were significant inter-provincial differences in the extent of the contribution. Overall, the provinces with higher emission levels contributed the most to the reduction of China’s AHGI; (2) The AHPE and AHEE factors in 31 provinces cumulatively contributed to the respective 68.17% and 11.78% reduction of China’s AHGI, while the AHES factors of 31 provinces cumulatively inhibited the 4.70% reduction. Overall, the AHPE factor was the main driving factor contributing to the reduction of China’s AHGI. In the future, improving the level of AHEE through GHG emissions reduction technology and narrowing the inter-provincial gap of the level of AHPE are two important paths for promoting the reduction of China’s AHGI.


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