How UK farewell to coal – Insight from Multi-Regional Input-Output and Logarithmic Mean Divisia Index Analysis

Energy ◽  
2021 ◽  
pp. 120655
Author(s):  
Qiang Wang ◽  
Xiaoxin Song
2012 ◽  
Vol 616-618 ◽  
pp. 1537-1540 ◽  
Author(s):  
Shuo Wang

This article uses Logarithmic Mean Divisia Index Method (LMDI) to analyze influence factors of emission in France during last 50 years, including energy use, GDP, carbon density, energy structure and population. Energy structure problem is proposed at the end of the article.


2015 ◽  
Vol 8 (1) ◽  
pp. 139
Author(s):  
Xiaolei Liu ◽  
Xuefeng Cui ◽  
Reshmita Nath

<strong><strong> </strong></strong><p>China’s pig industry is experiencing a dramatic increase to meet increasing consumption demand. How these changes influence the limited arable land resources through consuming grain as feed has not been clearly understood. In this manuscript, we calculate the arable land requirement for pig industry (LRP) from 2001 to 2013 and forecast future demand towards 2050 from the point of production, in order to quantify the pressure in different scenarios. The results indicate that the LRP has increased from 22.0 Million Ha in 2001 to 31.6 Million Ha in 2013. LRP will be 23.7-29.4 Million Ha in 2030 and 11.6-18.7 Million Ha in 2050 according to different scenarios. Logarithmic Mean Divisia Index (LMDI) decomposition method is assessed to the effect of population, consumption and technology for three time periods e.g. 2010-2030; 2030-2050 and 2010-2050. And technology will become primary reason. These findings could help optimizing the relationships between limited arable land resources and development of pig industry, and promote sustainable development of the pig industry.</p><strong></strong>


2019 ◽  
Vol 12 (8) ◽  
pp. 2161-2186 ◽  
Author(s):  
Junsong Jia ◽  
Huiyong Jian ◽  
Dongming Xie ◽  
Zhongyu Gu ◽  
Chundi Chen

Sign in / Sign up

Export Citation Format

Share Document