Energy Intensity of GDP: A Nonlinear Estimation of Determinants in Iran
Hassan Heidari,
Saharnaz Babaei Balderlou and
Mahyar Ebrahimi Torki
MPRA Paper from University Library of Munich, Germany
Abstract:
Energy intensity is a measure of the energy efficiency of a nation’s economy. Many factors influence a country’s energy intensity. In this paper, however, we note the effective factors of energy intensity and decompose it by applying Logistic Smooth Transition Regression (LSTR) in Iran during the period 1980- 2013. The main factors are the ratio of the added value of services to GDP (explaining both linear and nonlinear part of the energy intensity), the percentage of internet users, income per capita and Human Development Index (explaining nonlinear part of the energy intensity). The results indicated that the lifestyle and structural changes had a significant and considerable effect on decreasing energy intensity and that the ratio of services value-added to GDP as a transition variable caused an asymmetric behavior of energy intensity affected from explanatory variables. The most effective factor on energy intensity was Human Development Index
Keywords: Energy Intensity; Energy Efficiency; LSTR Model; Iran (search for similar items in EconPapers)
JEL-codes: C22 Q43 (search for similar items in EconPapers)
Date: 2016-09-03
New Economics Papers: this item is included in nep-ara, nep-cwa and nep-ene
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Citations:
Published in International Journal of Economics and Management Studies 2.1(2016): pp. 1-19
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:79237
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