The purpose of this paper is to determine the role of different important factors responsible for CO2 emissions increase in South Asia. Decomposition analysis has been done to see the factors which are primarily responsible for changes in CO2 emissions. Logarithmic Mean Divisia Index is used to quantify the role of different important factors in CO2 emissions increase during 1980 to 2014 in seven major South Asian countries - Bhutan, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The analysis shows that income effect and population effect are the major determinants in the increase in per capita emissions whereas fuel intensity and in few cases, emissions intensity has a negative effect in emissions increase in most of these countries. Due to high growth potential, emerging trend and rich resource endowments, it is suggested that South Asian countries should accelerate their efforts and cooperate to reduce CO2 emissions and energy consumption. This will help to attain sustainable economic growth in future.
The main aim of this paper is to analyse the role of different factors responsible for CO2 emission from Indian road passenger transport with the help of Logarithmic Mean Divisia Index over the period of 1971-2011. CO2 emission increase is decomposed into five major factors - emission coefficient, transport energy intensity, transport activity, economic growth, and population. Findings suggest that economic growth, transport activity and population have a significant positive role in increasing CO2 emission from road passenger transport, whereas energy intensity plays a negative role in CO2 emission increase. Emission coefficient has also a negative role in CO2 emission increase during all the periods except during 1971-81. Therefore, emission coefficient and energy intensity are the two most important factors for policy design and implementation to reduce CO2 emission from the sector.