Decomposition of CO2 Emissions of Iranian Transport Sector in Sub-sectors and Component Fuels An Application of Decomposition Analysis of Divisia Index

Document Type : Research Article



The identification of key factors driving CO2 emissions is essential for the formulation of effective climate change mitigation policies and strategies. Transportation, as a linkage between different parts of the economy, has of more than 23 percent of the country's CO2 emissions. This study analyzes the factors affecting CO2 emissions of fossil fuel consumption in the Iranian transport sector for the period 1997-2010. For this purpose, Decomposition Analysis of Logarithmic Mean Divisia Index and Arithmetic Mean Divisia Index are employed. Factors influencing CO2 emissions are coefficient of emission, energy intensity, changes in fuel mix, mode of transportation, structural changes, per capita economic income, and population growth. Results show thateconomic activity, structural changes, and population growth have respectively the greatest impacts on the CO2 emissions growth in Iranian transport sector. Energy intensity has had a reductive role in CO2 emissions for the whole transportation sector. Results obtained from different decomposition methods, are in concordance.