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  The power sector in Iran accounts for a share of 28.2 percent of the total CO2 emissions, so it is the biggest emitter of greenhouse gases. This study uses Logarithmic Mean Divisia Index (LMDI) technique to examine the role of five factors (economic growth, fuel intensity, electricity intensity, structure and quality of fuel) influencing CO2 emissions of the Power Plant sector in the period 1997-2008. Thermal efficiency and the fuel mix effects have been analyzed to determine the factors affecting changes in CO2 emissions index. The results show that the economic growth has the highest effect on the increase of CO2 emissions in the power sector during the whole period of study. Then, fuel quality effect, fuel intensity effect and the structure of production effect respectively, have influenced the growth of CO2 emissions. Changes in fuel mix have had the greatest effect on the increase of CO2 emission index, especially for the period 1387-83. Emission index displays that combined cycle power plant has the least emission index among all types of thermal power plants and hence it is the most suitable thermal power plant for the environment amongst thermal power plants .

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Simple sum monetary aggregation approach that based upon perfect substitution of monetary components assumption is inconsistent with microeconomics theories. In this research, using quarterly data of Iran over period 1370:1–1388:1, we first calculate monetary aggregation based on divisia index for both measures of money (M1, M2) and then estimate the demand functions for money for divisia and simple sum monetary aggregations separately. The results show that the adjustment speed of divisia aggregations is more than that of simple sum aggregations and the demand functions for money that construct by divisia aggregations, are more stable.