Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method

Due to rapid economic development and accelerated urbanization, Tunisia's transport sector has experienced a dramatic growth that leads to excessive demand for fossil fuel energy. This study identifies the driving factors and measures their corresponding contributions in transportation energy consumption for the case of Tunisia by using the logarithmic-mean Divisia index method (LMDI) over the period 1985–2014. The transport related energy consumption is decomposed into energy intensity, transportation structure effect, transportation intensity effect, economic output, and population scale effects according to the driving mechanism. Results indicate that the overall effect of economic output, transportation intensity, population scale, and transportation structure on energy consumption is positive, whereas the overall effect of energy intensity is negative. It was shown that energy intensity played the dominant role in decreasing energy consumption during the study period. Improving the transport intensity exerts significant effect on saving energy. Our empirical findings provide scientific supports for the policy measures based on low greenhouse gas emissions integrated transport.

[1]  Edith Aghadiaye Olamigoke,et al.  The Role of Road Transportation in Local Economic Development: A Focus on Nigeria Transportation System , 2013 .

[2]  Becky P.Y. Loo,et al.  Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport , 2012 .

[3]  W. B. Davis,et al.  Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993 , 1999 .

[4]  Guofeng Shen,et al.  Temporal and spatial trends of residential energy consumption and air pollutant emissions in China , 2013 .

[5]  Barbara C. Richardson,et al.  SUSTAINABLE TRANSPORT: ANALYSIS FRAMEWORKS , 2005 .

[6]  B. W. Ang,et al.  A survey of index decomposition analysis in energy and environmental studies , 2000 .

[7]  Houda Achour,et al.  Investigating the causal relationship between transport infrastructure, transport energy consumption and economic growth in Tunisia , 2016 .

[8]  Lee Schipper,et al.  Irish passenger transport: Data refinements, international comparisons, and decomposition analysis , 2013 .

[9]  Si Ma,et al.  Harmonious Relations of Transportation Energy Consumption in Integrated Transport Development , 2012 .

[10]  Siaw Kiang Chou,et al.  Research, development and innovations for sustainable future energy systems , 2013 .

[11]  Clarence Woudsma,et al.  Greenhouse gas emissions and the surface transport of freight in Canada , 2006 .

[12]  Markku Lehtonen,et al.  Decoupling of road freight energy use from economic growth in the United Kingdom , 2012 .

[13]  Govinda R. Timilsina,et al.  Factors affecting CO2 intensities of power sector in Asia: A Divisia decomposition analysis , 1996 .

[14]  L Schipper,et al.  CO2 EMISSIONS FROM PASSENGER TRANSPORT: A COMPARISON OF INTERNATIONAL TRENDS FROM 1973-1990 , 1994 .

[15]  B. W. Ang,et al.  Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method , 1997 .

[16]  ZhongXiang Zhang,et al.  Decoupling China’s Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications , 2000 .

[17]  Ruyin Long,et al.  Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI , 2014 .

[18]  Min Zhou,et al.  Using LMDI method to analyze transport sector CO 2 emissions in China , 2011 .

[19]  Elmar Kriegler,et al.  Role of technologies in energy-related CO2 mitigation in China within a climate-protection world: A scenarios analysis using REMIND , 2014 .

[20]  Ming Zhang,et al.  Decomposition analysis of energy consumption in Chinese transportation sector , 2011 .

[21]  Yue-Jun Zhang,et al.  The decomposition of energy-related carbon emission and its decoupling with economic growth in China , 2015 .

[22]  Jan Christoph Steckel,et al.  From carbonization to decarbonization?—Past trends and future scenarios for China's CO2 emissions , 2011 .

[23]  Rafaa Mraihi,et al.  Road transport-related energy consumption: Analysis of driving factors in Tunisia , 2013 .

[24]  B. W. Ang,et al.  Decomposition analysis for policymaking in energy:: which is the preferred method? , 2004 .

[25]  Daniel De Wolf,et al.  Indicators for sustainable energy development: A multivariate cointegration and causality analysis from Tunisian road transport sector , 2013 .

[26]  Jeffrey Kenworthy,et al.  THE TRANSPORT ENERGY TRADE OFF: FUEL EFFICIENT TRAFFIC VERSUS FUEL EFFICIENT CITIES , 1988 .

[27]  Charles Lewis,et al.  Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea , 2007 .

[28]  J. C. J. M. Bergh,et al.  Comparing structural decomposition analysis and index , 2003 .

[29]  J. Sun,et al.  Accounting for energy use in China, 1980–94 , 1998 .

[30]  Marco Mazzarino,et al.  The economics of the greenhouse effect: evaluating the climate change impact due to the transport sector in Italy , 2000 .

[31]  Cheng Xu,et al.  Energy Consumption Driving Factors and Measuring Models of Regional Integrated Transport System , 2013 .