<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">LCE</journal-id><journal-title-group><journal-title>Low Carbon Economy</journal-title></journal-title-group><issn pub-type="epub">2158-7000</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/lce.2012.33008</article-id><article-id pub-id-type="publisher-id">LCE-22484</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Dieselization and Road Transport CO&lt;sub&gt;2&lt;/sub&gt; Emissions: Evidence from Europe
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ntónio</surname><given-names>Cardoso Marques</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bruno</surname><given-names>Miguel Gonçalves</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>José</surname><given-names>Alberto Fuinhas</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>University of Beira Interior</addr-line></aff><aff id="aff1"><addr-line>NECE and University of Beira Interior, Management and Economics Department, Estrada do Sineiro, Covilh?, Portugal</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>acardosomarques@gmail.com(NCM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>13</day><month>09</month><year>2012</year></pub-date><volume>03</volume><issue>03</issue><fpage>54</fpage><lpage>62</lpage><history><date date-type="received"><day>June</day>	<month>11th,</month>	<year>2012</year></date><date date-type="rev-recd"><day>July</day>	<month>15th,</month>	<year>2012</year>	</date><date date-type="accepted"><day>July</day>	<month>25th,</month>	<year>2012</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Road transport carbon dioxide emissions were analyzed, by focusing on a panel of 14 European countries for the time span 1995-2007. We deal with the existence of contemporaneous correlation by using the Panel Corrected Standard Errors estimator. We extend the empirical literature by controlling the effect of new diesel passenger car registrations and the average power of those vehicles. The price of gasoline and income reduce road transport carbon dioxide emissions, while population density and average power of new diesel passenger cars raises those emissions. We deepen the debate about dieselization, concluding that saving emissions by using diesel tend to be surpassed by the increased kilometers driven.
 
</p></abstract><kwd-group><kwd>Road Transport; CO&lt;sub&gt;2&lt;/sub&gt; Emissions; Fuel Prices; Dieselization</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>European countries have been expressing deep environmental concerns for some time and now play a leading role worldwide in the fight against pollution. To achieve this purpose, the European Union (EU) has been implementing environmental policies to counteract the degradation of the ozone layer and to bring the green house effect to an end. The EU has established directives for its member states in order to restrain and diminish the emission of greenhouse gases (GHG), namely carbon dioxide (CO<sub>2</sub>), chlorofluorocarbons, methane, nitric acid and ozone. Since CO<sub>2</sub> is the major GHG released into the atmosphere (98% in 2007 for the EU15), it is essential to reduce its emissions in order to work against global warming and climate change. Substantial CO<sub>2</sub> emissions originate in the transport sector (25% in 2007 for the EU15, excluding the international traffic departing from the EU) and almost all of this comes from road transporttation (93% in 2007 for the EU15). This large contribution makes this sector one of the largest polluters with respect to oil fuel combustion.</p><p>The road transport sector includes both motorcycles and automobiles. The latter consist of: 1) passenger cars (PC) (84.4% of the number of automobiles sold in 2007 for the EU15); 2) commercial vehicles (15.2%); and 3) buses and coaches (0.4%). Since PCs constitute the majority of automobiles on European roads, they play a crucial role in road transport CO<sub>2</sub> emissions. As a consequence, the EU decided to make voluntary agreements with the automobile manufacturers’ associations, the ACEA [<xref ref-type="bibr" rid="scirp.22484-ref1">1</xref>] JAMA [<xref ref-type="bibr" rid="scirp.22484-ref2">2</xref>] and KAMA [<xref ref-type="bibr" rid="scirp.22484-ref3">3</xref>], in order to promote the decrease of the average CO<sub>2</sub> emissions per km, by each new PC.</p><p>The literature regarding CO<sub>2</sub> emissions from PCs brings to the fore a vast normative perspective, but it suffers from scarce empirical support. This paper contributes to the empirical evidence, focusing on the drivers of road transport CO<sub>2</sub> emissions. Overall, the nature of drivers can be socio-economic, demographic, energetic, manufacturer or market. In particular, we work on the questions: 1) is dieselization actually reducing CO<sub>2</sub> emissions released by PCs? And 2) how does GDP per capita influence CO<sub>2</sub> emissions? The responses may define important policy measures to facilitate a reduction in road transport CO<sub>2</sub> emissions. For this purpose, we use a panel dataset for thirteen years (1995-2007) from the EU15 (except Greece). These countries belong to Europe, which has been in the front line of the reduction of road transport CO<sub>2</sub> emissions, and they are selected to fulfill the criteria of the longest time span with available data for drivers we control. In accordance with the common policies guidance from the EU, the econometric methods take into account the contemporaneous correlation.</p><p>We extend the literature on road transport CO<sub>2</sub> emissions by: 1) showing the relevant role of the drivers of new diesel PC registrations per 1000 inhabitants, and the average power of new diesel PCs registered; 2) shedding light on the debate of the pros and cons of dieselization; 3) discussing the importance of car sharing and the use of public transport in the reduction of CO<sub>2</sub> emissions; and 4) applying panel econometric techniques that cope well in the presence of common political guidance.</p><p>The paper is organized as follows: the second section consists of a literature review, the third presents the data and methodology used in this work. Section 4 provides the results obtained, the fifth section discusses those outcomes and section 6 concludes.</p></sec><sec id="s2"><title>2. Literature Review</title><p>In a modern society, CO<sub>2</sub> emissions are generated by numerous sectors. Energy industries, manufacturing, construction, transport and other sectors, like comercial/institutional, residences, agriculture/forestry/fishery, all contribute to environmental damage. According to the source of CO<sub>2</sub> emissions, different literature is applied and several methodologies can be found. The literature on road transport CO<sub>2 </sub>emissions, particularly from PCs, evolves according to two main perspectives: 1) the normative; and 2) the empirical. The normative focuses on the analysis of CO<sub>2 </sub>emissions, considering both characteristics and fleet composition of PCs [<xref ref-type="bibr" rid="scirp.22484-ref4">4</xref>]. The empirical perspective includes several techniques, namely the decomposition analysis of CO<sub>2 </sub>emissions [<xref ref-type="bibr" rid="scirp.22484-ref5">5</xref>], and the panel data approach [<xref ref-type="bibr" rid="scirp.22484-ref6">6</xref>]. The influence of the various vehicle characteristics on the changes in CO<sub>2 </sub>emissions from PCs was analysed by [<xref ref-type="bibr" rid="scirp.22484-ref5">5</xref>], in Greece and Denmark between 1990 and 2005. In their turn, Ryan et al. [<xref ref-type="bibr" rid="scirp.22484-ref6">6</xref>] focused on the relationship among variables like fuel price, vehicle taxes, income and population density.</p><p>As noted by Stead [<xref ref-type="bibr" rid="scirp.22484-ref7">7</xref>], PCs using different fuel types release different amounts of CO<sub>2</sub>. Indeed, the average diesel PC releases smaller quantities of CO<sub>2 </sub>per km in comparison to the average gasoline car [<xref ref-type="bibr" rid="scirp.22484-ref8">8</xref>]. A diesel engine consumes 20% to 30% less fuel per km than a gasoline engine equivalent [<xref ref-type="bibr" rid="scirp.22484-ref9">9</xref>]. Nevertheless, while consuming 20% less, it only releases 9% fewer grams (g) of CO<sub>2 </sub>per km than gasoline engines [<xref ref-type="bibr" rid="scirp.22484-ref10">10</xref>]. Apart from the fuel economy of diesel PCs, as Pock [<xref ref-type="bibr" rid="scirp.22484-ref11">11</xref>] pointed out, diesel cars have also been upgraded, namely in comfort and driveability, and their retail price is lower in relation to gasoline cars in most European countries. This has all contributed to the trend known in Europe as dieselizetion, which consisted of a sustained diesel market growth. On the one hand, authors such as Fontaras and Samaras [<xref ref-type="bibr" rid="scirp.22484-ref12">12</xref>] and Cuenot [<xref ref-type="bibr" rid="scirp.22484-ref13">13</xref>], connect dieselization to a reduction in CO<sub>2 </sub>emissions, as a consequence of the increased fuel efficiency of diesel engines. On the other hand, recent literature minimizes the impact of this trend in reducing CO<sub>2 </sub>emissions, because of the higher distance travelled by diesel PCs [<xref ref-type="bibr" rid="scirp.22484-ref14">14</xref>]. This phenomenon of longer trips taken by diesel PCs deserves further analysis.</p><p>Diesel PCs release inferior average CO<sub>2 </sub>emissions per km than gasoline cars, when travelling the same distance. Nevertheless, as Schipper [<xref ref-type="bibr" rid="scirp.22484-ref14">14</xref>] points out, these type of vehicles in Europe travel 40 to 100% more than their gasoline counterparts, namely since most taxi drivers, salesmen and businessmen use them. For example, in 2005, in France diesel PCs were driven 64% further than gasoline ones and, in Germany, 80% more [<xref ref-type="bibr" rid="scirp.22484-ref15">15</xref>]. Also in Denmark, in 2007, Papagiannaki and Diakoulaki [<xref ref-type="bibr" rid="scirp.22484-ref5">5</xref>] mentioned that diesel cars travelled twice as far as gasoline PCs.</p><p>As stated earlier, the increasing demand for diesel is due to its lower retail price compared to gasoline in most European countries. This asymmetry is a consequence of the lower taxation applied to diesel, which results partly from the professional transport sector lobby, as noted by Pock [<xref ref-type="bibr" rid="scirp.22484-ref11">11</xref>]. Moreover, this author points out that, in the short run, higher fuel prices decrease vehicle use, while in the long run, they cause a reorganization of the PC fleet to more efficient gasoline cars and diesel ones. In the former case, this is true since diesel price and diesel PC ownership expenses are reasonably low. Therefore, in the long run, given the correlation between fuel consumption and road transport CO<sub>2 </sub>emissions [<xref ref-type="bibr" rid="scirp.22484-ref6">6</xref>], as the former decreases, so CO<sub>2</sub> emissions diminish. Such fuel consumption reduction is directly caused, on the one hand, by fewer kilometers driven in the long run [16,17] and, on the other hand, by lower speeds on roads. In fact, fuel consumption diminishes as more drivers circulate at optimum speeds [<xref ref-type="bibr" rid="scirp.22484-ref18">18</xref>]. All these consequences of high fuel prices arise from its impact on families and individuals’ income.</p><p>When there are higher incomes, two opposite behaviors can arise. According to Storchmann [<xref ref-type="bibr" rid="scirp.22484-ref19">19</xref>], in the short run, individuals tend to drive more, increasing road transport CO<sub>2 </sub>emissions. In contrast, over time buyers have greater opportunity to acquire powerful vehicles, but also better equipped with regard to fuel efficiency and technology [<xref ref-type="bibr" rid="scirp.22484-ref18">18</xref>]. Hamilton and Turton [<xref ref-type="bibr" rid="scirp.22484-ref20">20</xref>], when studying GHG emissions in OECD countries from 1982 to 1997, and Hatzigeorgiou et al. [<xref ref-type="bibr" rid="scirp.22484-ref21">21</xref>], when analysing CO<sub>2</sub> emissions in Greece between 1990 and 2002, pointed out GDP as the greatest contributor to CO<sub>2</sub> emissions. Nonetheless, Tapio et al. [<xref ref-type="bibr" rid="scirp.22484-ref22">22</xref>] noted that in the EU15 countries, from 1960 to 2000, GDP growth decoupled from energy use and, therefore, from CO<sub>2 </sub>emissions. Another socio-economic factor affecting CO<sub>2 </sub>emissions is population. Although it makes a positive contribution to road transport CO<sub>2 </sub>emissions, its effect is not very noteworthy due to the small variations in population figures over time [<xref ref-type="bibr" rid="scirp.22484-ref5">5</xref>]. Nonetheless, it is worthwhile mentioning that increasing population density reduces the number of gasoline PC [<xref ref-type="bibr" rid="scirp.22484-ref6">6</xref>], favouring the use of diesel cars.</p><p>Another contributor to road transport CO<sub>2 </sub>emissions is PC power, which is highly correlated with PC weight. Zervas [<xref ref-type="bibr" rid="scirp.22484-ref4">4</xref>] reported a rise in the average maximum power of both gasoline and diesel cars, from 1995 to 2003, as a result of the improved combustion efficiency. The increase in PC weight and power were in part a result of dieselization [<xref ref-type="bibr" rid="scirp.22484-ref10">10</xref>]. Diesel PCs have experienced a greater growth in power than gasoline ones. Since diesel PCs had to find more torque to increase their power/weight ratio in comparison to gasoline cars, they became more powerful. As a consequence, fuel consumption and CO<sub>2 </sub>emissions also increased, counteracting the advance of technological standards in fuel efficiency. Regardless of the technical aspects, the last word about the average power of PCs, as Bonilla [<xref ref-type="bibr" rid="scirp.22484-ref18">18</xref>] points out, belongs to consumers, whose preferences when buying a new PC depend on their income.</p><p>The greater demand for diesel in Europe produces, however, a negative outcome in the whole CO<sub>2 </sub>emissions, because it generates inefficiency in the entire fuel supply chain. Indeed, the adjustment of European refineries to the production of diesel causes an increase in CO<sub>2 </sub>emissions due to higher energy loss. Exportation of gasoline and importation of diesel associated with the lower and higher demand, respectively, of the European PC fleet increases CO<sub>2 </sub>emissions due to international transportation [<xref ref-type="bibr" rid="scirp.22484-ref23">23</xref>].</p><p>In the EU, most decisions aimed at reducing CO<sub>2 </sub>emissions have a common guidance. To the best of our knowledge, the scarce empirical literature on road transport CO<sub>2 </sub>emissions has not yet taken into account the possible existence of contemporaneous correlation between the EU countries as a result of the similar policies measures taken in all member states. To that extent, apart from the variables mostly suggested by literature (GDP per capita, population density, and gasoline price), we control for the effect of new diesel PC registrations and average power of new diesel PCs registered on road transport CO<sub>2 </sub>emissions. The next section describes the data, method and estimation process.</p></sec><sec id="s3"><title>3. Data and Methods</title><p>In order to select the appropriate methodology that will give us a full understanding of the object on which we are focused, we must have a thorough understanding of the available data. In this section we present the data, their sources and main characteristics, as well as pursuing a discussion about the methodological choices.</p><sec id="s3_1"><title>3.1. Data</title><p>Data from the year 1995 to 2007 were used, for a panel of 14 EU member states: Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, Sweden and the United Kingdom. Greece was excluded for lack of data. Due to the inexistence of data prior to 1995 and subsequent to 2007 for some of the variables, the maximum time span was ascertained (1995-2007). Furthermore, because the remaining countries of EU27 only offer data from 2000 for some variables, we had to limit the study to EU15, except Greece. Otherwise, the actual period of thirteen years (1995-2007) would be only eight years (2000- 2007). Although the number of observations is not exactly the same for all countries, missing values are few, isolated, and purely random. Therefore, we can apply the estimators in our unbalanced panel without causing inconsistency in these estimators.</p><p>The main goal of this paper is to make an empirical evaluation, for a panel of 14 European countries, of the explanatory power of several variables over the following dependent variable: road transport CO<sub>2 </sub>emissions (CO<sub>2</sub>ROAD). The explanatory variables for understanding the course of CO<sub>2</sub>ROAD are in accordance with the literature. GDP per capita and population density are important socio-economic drivers of CO<sub>2</sub>ROAD due to their influence on the PC fleet composition and on the number, frequency, length and speed of journeys. The price of gasoline is highly correlated with the price of diesel, allowing us to control for the impact of energy pricing on CO<sub>2</sub>ROAD. New diesel PC registrations per 1000 inhabitants enable us to understand the conesquences of dieselization on CO<sub>2</sub>ROAD. New diesel PC average power, as one of the three major vehicle characteristics (power, weight, engine capacity), allows us to control for the influence of manufacturer drivers on CO<sub>2</sub>ROAD.</p><p>GDP per capita (GDPPC). Income produces two opposite outcomes in families and individuals’ behaviours. On the one hand, a positive signal is observed when higher incomes lead both to increasing the propensity to drive more [<xref ref-type="bibr" rid="scirp.22484-ref19">19</xref>] and to buying powerful vehicles, contributing towards raising CO<sub>2</sub>ROAD. On the other hand, a negative signal is identified when higher incomes allow individuals to acquire PCs with more advanced fuel efficiency technologies [<xref ref-type="bibr" rid="scirp.22484-ref18">18</xref>]. The final signal depends on the dominance of these two opposite effects.&#160;</p><p>Population density (POPDENS). The literature suggests that population influences positively CO<sub>2</sub>ROAD. The influence is generally low, because over time population does not suffer significant changes [<xref ref-type="bibr" rid="scirp.22484-ref5">5</xref>]. POPDENS has an effect on the PC fleet, since the number of gasoline cars diminishes when POPDENS increases [<xref ref-type="bibr" rid="scirp.22484-ref6">6</xref>]. This effect produces an outcome on CO<sub>2</sub>ROAD. In accordance, we control for this variable, expecting that large POPDENS will contribute to greater CO<sub>2</sub>ROAD.</p><p>Gasoline price (PRICEG). Energy prices infer on consumer behaviours and preferences, because:</p><p>Their available incomes become affected. As a result of high fuel prices, drivers may decrease their fuel consumption travelling at optimum speeds [<xref ref-type="bibr" rid="scirp.22484-ref18">18</xref>]. Moreover, in the long run, the distances travelled may be reduced [16,17] and car owners tend to replace gasoline cars with more fuel efficient ones or with diesel ones [<xref ref-type="bibr" rid="scirp.22484-ref11">11</xref>]. Most PCs worldwide are propelled through gasoline or diesel combustion. PRICEG and diesel price are highly correlated, which prevents their simultaneous use in the estimation, in line with the collinearity concerns. We control for PRICEG, given that it is commonly used in the empirical literature [11,16,17]. A negative relationship is expected between this variable and the CO<sub>2</sub>ROAD. &#160;</p><p>New Diesel PC registrations per 1000 inhabitants (DIESCAR). DIESCAR is used to measure the level of dieselization. As discussed before, the literature suggests two opposite effects regarding dieselization. On the one hand, one could expect a negative signal to CO<sub>2</sub>ROAD, given that, comparatively, diesel PCs emit lower average CO<sub>2 </sub>emissions per km [12,13]. On the other hand, a positive signal could be expected due to the larger distances travelled by diesel PCs [<xref ref-type="bibr" rid="scirp.22484-ref14">14</xref>] and thus, dieselization may induce the increase of CO<sub>2</sub>ROAD. This divergence in the contribution of DIESCAR to CO<sub>2</sub>ROAD, makes it relevant to identify whether the predominant effect is negative or positive.</p><p>New Diesel PC Average Power (AVPOWERD). AVPOWERD corresponds to the average power of new diesel PCs registered in one country for a year. A strong increase in AVPOWERD was observed from 1995 to 2007 [3,24]. Following the literature, we control for AVPOWERD. Since more power requires more fuel consumption ceteris paribus, a positive signal for AVPOWERD is expected in explaining CO<sub>2</sub>ROAD.</p><p><xref ref-type="table" rid="table1">Table 1</xref> shows the variables, their sources and descriptive statistics.</p></sec></sec></body><back><ref-list><title>References</title><ref id="scirp.22484-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">EC, “Recommendation (1999/125/EC) of 5th February 1999 on the Reduction of CO2 from Passenger Cars,” European Comission, Brussels, 1999.</mixed-citation></ref><ref id="scirp.22484-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">EC, “Recommendation (2000/304/EC) of 13th April 2000 on the Reduction of CO2 from Passenger Cars (JAMA),” European Comission, Brussels, 2000.</mixed-citation></ref><ref id="scirp.22484-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">EC, “Recommendation (2000/303/EC) of 13th April 2000 on the Reduction of CO2 from Passenger Cars (KAMA),” European Comission, Brussels, 2000.</mixed-citation></ref><ref id="scirp.22484-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">E. 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