چکیده:
raditionally, there have been notable differences among accounting systems for tracking economy-wide energy efficiency trends. Quiterecently, attentions are directed to formal studies that can meet the need for uniformity in the design and application of such systems. Uniform systemscan give us better insights into energy efficiency indicators. In this paper, the multiplicative Logarithmic Mean Divisia Index (LMDI) decompositiontechnique is introduced and applied in an analysis of energy use in Iran. The aim of the following investigation is to find out what causes thechanges in energy use in Irans industrial and transportation sectors. Thedata of this work consist of final energy use over the 2001-2006 periodsfrom annual energy balance sheets and sectorial values added from Input-Output tables over the same years. The obtained results show that energyconsumption changes are determined by the activity levels. Next amongthe significant energy consumption determinants are structural and energyintensity impacts
خلاصه ماشینی:
An Analysis of Energy Consumption in Transportation and Industrial Sectors- a Multiplicative LMDI Approach with Application to Iran Ebrahim Hosseini Nasab∗ Robab Aalami∗∗ Shermineh Foroughi Dahr ∗∗∗ Mohammad Amin Sadeghzadeh ∗∗∗∗ Received: 2012/2/21 Accepted: 2012/5/30 Abstract raditionally, there have been notable differences among accounting systems for tracking economy-wide energy efficiency trends.
In this study the domain of analysis was extended to evaluate the energy consumption in the industry and transportation sector of Iran.
2- Basic Concepts, Indicators and Terminology2 In proposing an energy efficiency accounting framework, one of the first issues is deciding on whether changes in energy consumption over time are to be measured by the difference or by ratio criteria 3.
4 MTOE while the ratio measure gives a change of 1- Different energy organizations use different LMDI-based energy efficiency accounting frameworks.
Data on this activity indicator and on energy consumption are complied by each sub- sector and used together with a particular accounting framework to estimate EPI.
In this study an LMDI-II energy efficiency accounting framework using the IDA approach1 is proposed.
The desirable properties of multiplicative LMDI accounting framework, such as its flexibility in handling both the ratio change and difference change in energy consumption and the handling of a mixture of activity indicators for a sector are presented.
To summarize the paper, we used a multiplicative LMDI accounting framework to account for the transportation and industrial energy consumption changes during 2001 to 2006.