PBL Note. Non-ETS emission targets for 2030
|
|
|
- Bruno Weaver
- 10 years ago
- Views:
Transcription
1 PBL Note Non-ETS emission targets for 2030 Indication of emission targets for the Netherlands and other EU Member States under the European Effort Sharing Decision Martijn Verdonk and Andries Hof October 2013 PBL Publication number: 1192 PBL Netherlands Environmental Assessment Agency 1
2 Summary and findings As European Member States are making progress towards their 2020 targets in the Effort Sharing Decision, the attention of policymakers is shifting to a framework beyond The European Commission launched a discussion with its Green Paper on a possible policy framework for This PBL Note aims to contribute to that discussion by analysing the effects of various assumptions on Member States' non-ets emission targets for The effort sharing of the current European target for 2020 has resulted in an emission target of +20% relative to 2005 levels for the least wealthy Member State and -20% for the three wealthiest Member States. The targets for all other Member States were determined based on per-capita income levels of For possible non-ets targets for 2030, we assumed a Europe-wide emission reduction target of 40% for 2030, compared to 1990 levels. This target is considered by the European Commission as the most cost-efficient to achieve a low-carbon economy by The 2030 target was split into a target for emissions covered by the EU Emissions Trading System (ETS) and one for emissions that are not covered by the ETS (non-ets). According to our estimations, European non-ets emissions need to be reduced by around 30% by 2030, compared to 2005 levels. We distributed the non-ets reduction target of 30% over the Member States by using similar effort sharing principles that are applied in the EU Effort Sharing Decision for 2020, but with different targets assumed for the least wealthy Member State. We also took recent per-capita income levels into account. However, we did not take into account the costs and effects of emission reductions on GDP. This PBL Note analyses two possible scenarios that differ in the target assumed for the least wealthy Member State, in order to assess the effects of differing assumptions on the 2030 non-ets targets. These scenarios should be considered as 'what if' scenarios and not as political positions. Our main findings are presented in the table below. Scenario assumptions and main findings Assumptions Scenario A The 2030 non-ets emission target for the least wealthy Member State has been set at 0% relative to its 2005 emission level, while targets for all other Member States have been determined based on per-capita income levels, in such a way that the total EU target will be achieved. Scenario B The 2030 non-ets emission target for the least wealthy Member State has been set at 0% relative to its targeted emission level for 2020, while targets for all other Member States have been determined based on per-capita income levels, in such a way that the total EU target will be achieved. Findings Bulgaria receives the lowest reduction target (0% compared to 2005) This implies a significant reduction target for Bulgaria that was allowed to increase its emissions between 2005 and 2020 Luxembourg, Denmark and Sweden receive the highest reduction target (47% compared to 2005) Bulgaria receives the lowest reduction target (20% increase compared to 2005) This implies that Bulgaria must keep its emission level constant between 2020 and 2030 Luxembourg, Denmark and Sweden receive the highest reduction target (52% compared to 2005) PBL Netherlands Environmental Assessment Agency 2
3 Our sensitivity analysis suggests that reduction targets for the wealthier Member States are not very sensitive to the assumptions made about the minimum reduction target for the least wealthy Member State. The effect of an increase in the overall EU reduction target is larger. We found that an increase in the reduction target from 40% to 45%, while keeping the minimum reduction target constant, would lead to an increase of about 11% in the reduction target for the wealthiest Member States (for the Netherlands this would be about 9%). For the Netherlands, we found non-ets emission reduction targets for 2030 of 40% (scenario A) and 43% (scenario B), compared to 2005 emission levels. This corresponds to a respective non- ETS emission budget of 76 and 72 Mt CO 2 equivalents by These emission budgets should however be considered as mere indications. When taking into account the enlarged scope of the ETS from 2013 onwards, the 2030 emission budgets are expected to be somewhat lower. For the Netherlands, the effect could be about 1 Mt CO 2 equivalent. PBL Netherlands Environmental Assessment Agency 3
4 1 Introduction Current framework of European climate and energy policies up to 2020 In 2008, the current European climate and energy policy framework was adopted. This framework, which consists of various directives, a guideline and a decision, sets three main targets for 2020, on European level: 20% reduction in greenhouse gas emissions compared to 1990, 20% use of renewable energy, and 20% energy savings compared to a baseline scenario. The 20% emission reduction in greenhouse gases is further divided into emissions covered by the European Emissions Trading System (ETS) Directive, and the Effort Sharing Decision (ESD) for emissions not covered by ETS. The target for emissions under the ETS is a 21% reduction from 2005 levels, by 2020; for emissions under the ESD the reduction target is 10%. These targets have been based on a costefficient allocation between ETS and ESD emission reductions. The ETS only has a European emission budget, whereas the ESD target is distributed among Member States to reflect differences in GDP. Wealthy Member States have higher ESD reduction targets than the less wealthy Member States. The ESD reduction targets are within the range of +20% to -20%, relative to 2005 levels (see Figure 1). PBL Netherlands Environmental Assessment Agency 4
5 Attention of policymakers shifts to 2030 As European Member States are making progress towards their 2020 targets in the 2020 framework, the attention of policymakers shifts towards a framework beyond This is deemed relevant as investment decisions, in the short term, have an impact on the period after Moreover, investors seek clarity on the policy focus for that period. Therefore, in March 2013, the European Commission launched a Green Paper on a policy framework for 2030 (EC, 2013a), which also includes questions regarding climate targets for that time frame. These questions must be seen in the context of the wider ambition of the European Commission and Member States to move towards a low-carbon economy by 2050 (EC, 2013a). This ambition would result in greenhouse gas emission reductions in the range of 80% to 95% by 2050, compared to 1990 levels (EC, 2011a). According to the EC, this would imply that, by 2030, European greenhouse gas emissions must be reduced by around 40% to 44%, compared to 1990 levels (EC, 2011b). Current effort sharing exacerbates reduction targets for 2030 Under the assumption that the framework of the ETS and ESD will remain in place up to at least 2030, the European-wide ESD emission reduction for 2030 needs to be distributed over the Member States. However, applying the current effort sharing agreement to the more ambitious overall EU 2030 target would result in an exacerbation of current reduction targets. This would lead to an increase of up to 63% in emissions for the least wealthy Member State and a 63% reduction for the wealthiest Member States, increasing differences in effects on GDP. As such, a renewed agreement on effort sharing with respect to reducing non-ets emissions in all Member States can be expected. Aim of this PBL Note This PBL Note is intended to contribute to the discussion on 2030 climate targets, in the context of the Effort Sharing Decision. The Dutch Ministry of Infrastructure and the Environment (IenM) has requested PBL Netherlands Environmental Assessment Agency to indicate possible non-ets emission targets for Member States for 2030, while taking into account long-term EU climate ambitions. This would help the Dutch Government and other Member States to determine their position in the European debate on 2030 climate and energy targets. It would also help the Dutch Government to formulate national climate policies for The results presented here should be considered as 'what if' scenarios in which basic assumptions on effort sharing vary, in order to analyse the effects on non-ets emission reduction targets. The scenarios were not evaluated for their political feasibility, nor do they represent the position or preference of PBL. Method We calculated new non-ets targets for Member States by using the principles currently applied in the Effort Sharing Decision, but taking into account recent developments in Gross Domestic Product (GDP) and 2030 emission reduction targets in line with the ambition for a low-carbon economy by The resulting targets for Member States were then used to determine emission budgets for 2030, for each Member State. Emission budgets here are defined as the maximum emission level that Member States would be allowed to emit during a certain year (i.e. 2030). Effects of reduction targets on GDP were not taken into account. Reading guidance The main results from our analysis are presented in Section 2. Section 3 describes the methodology and Section 4 presents detailed results, including a sensitivity analysis and a discussion on the results. PBL Netherlands Environmental Assessment Agency 5
6 2 Main Results 2.1 Effort sharing of non-ets emission reductions by 2030 EU effort sharing of 30% non-ets reduction: two default scenarios According to our estimations, European non-ets emissions need to be reduced by around 30% by 2030, compared to 2005 levels. This is in line with a European-wide emission reduction of 40%, compared to 1990 levels; a target considered as cost-efficient to achieve a low-carbon economy by We calculated new reduction targets for 2030 based on the overall 30% non-ets EU reduction and two default effort sharing scenarios, which differ in the reduction percentage assumed for the least wealthy Member State: Scenario A: The 2030 emission target for the least wealthy Member State has been set at 0% relative to its 2005 emission level, while targets for all other Member States have been determined based on their per-capita income levels; Scenario B: The 2030 emission target for the least wealthy Member State has been set at 0% relative to its targeted emission level for 2020, while targets for all other Member States have been determined based on their per-capita income levels. The reduction targets were used for determining non-ets emission budgets for 2030 the maximum amount of emissions that Member States are allowed to emit within the context of the European Effort Sharing Decision. Section 3 provides a detailed description of the methodology and motivation for these scenarios. PBL Netherlands Environmental Assessment Agency 6
7 Reduction targets for 2030 for Member States Figure 2 presents the resulting reduction targets for scenarios A and B, relative to 2005 emission levels and the targeted emission levels for Based on recent statistics on GDP per capita, Bulgaria received the 0% reduction target in both scenarios (compared to 2005 and 2020 for scenarios A and B, respectively), while Luxembourg, Denmark and Sweden received the maximum reduction target. As the assumed minimum reduction target differs between the two scenarios, the resulting maximum reduction target in both scenarios varies, as well. Scenario A uses a maximum emission reduction of 47%, compared to 2005 levels, and this is 52% in scenario B. This corresponds with maximum reduction targets relative to the targeted emission levels for 2020 of 36% and 40%, respectively. This means that under scenario B, where the 2030 target for the least wealthy Member State is set at 0% relative to its targeted emission level for 2020, the relatively wealthy Member States receive higher emission reduction targets than under scenario A. However, under scenario A, the target for the least wealthy Member State implies reductions compared to targeted emission levels for That suggests a significant reduction target for this Member State, considering that this Member State is allowed to increase its emission level between 2005 and Figure 2 also shows that scenario A would result in a convergence of reduction targets when compared to the targeted emission levels for Under scenario A, the reduction targets for Member States range from 14% to 36%, compared to 0% to 40% under scenario B (both relative to the targeted emission levels for 2020). PBL Netherlands Environmental Assessment Agency 7
8 Non-ETS emission reduction target for 2030 for the Netherlands For the Netherlands, non-ets emission reduction targets of 40% were estimated for 2030 under scenario A and 43% under scenario B, compared to 2005 levels. This corresponds with respective non-ets emissions budgets of 76 and 72 Mt CO 2 equivalents by 2030 (see Figure 3). Sensitivity of targets to basic assumptions We found reduction targets for the wealthier Member States to not be very sensitive to the assumptions made on the minimum reduction target for the least wealthy Member State. This is explained by the fact that these Member States are responsible for only a small share of total EU emissions. The targets for Member States with GDP levels close to the EU average, such as Spain and Italy, were also found to be very insensitive to the chosen minimum reduction target for the least wealthy Member State, as the targets for these Member States with average GDP levels, in all cases, are close to the average EU target. When the reduction target for the least wealthy Member State would be lowered in scenario A from 0% to 5%, compared to 2005 levels, the emission target for the wealthiest Member States would increase by 3% (and for the Netherlands by just under 2%). The effect of an increase in the overall EU reduction target is greater: an increase in the European-wide reduction target from 40% to 45% would for the wealthiest Member States lead to an increase of about 11% (and for the Netherlands this would be about 9%). Section 4 provides more details on the sensitivity results. PBL Netherlands Environmental Assessment Agency 8
9 3 Methodology 3.1 Determining the European effort for reducing non-ets emissions by 2030 European climate ambitions for 2030 and 2050 In 2011, the European Commission published its long-term ambition for a competitive, low-carbon economy by 2050 (EC, 2011a). That ambition would imply European emission reductions in the range of 80% to 95%, compared to 1990 levels. This ambition is considered to be relevant for the current debate on a possible policy framework for climate and energy policies up to 2030 (EC, 2013a). According to the EC, the ambition for 2050 would imply emission reductions of around 40% to 44% by 2030, compared to 1990 levels, under a cost-optimal scenario (EC, 2011b). Dividing the European ambition of 40% into ETS and non-ets Our default scenarios assume that the EU will reduce its emissions by 40%, compared to 1990 levels, by 2030, and that the framework of ETS and ESD will remain in place. This corresponds to the ambition of the Dutch Government for agreeing on a new EU-wide target of at least 40% reduction in European greenhouse gas emissions by 2030, compared to 1990 levels (I&M, 2013). In our sensitivity analysis, we analysed the effect of a 45% reduction target (see Section 4). We divided the 40% ambition into an ETS and a non-ets emission reduction effort (see Table 1), using the following assumptions: Non-ETS emissions are calculated by subtracting the ETS emission budget from the total European emission budget. Emission budgets for 2030 are linear interpolations between those for 2020 and The ETS and non-ets emission budgets for 2020 were obtained from the EC (2012a). The total European emission budget for 2050 is based on a 80% emission reduction, compared to 1990 levels. This reduction will be achieved within the EU, without the use of international credits. The 1990 emission level was determined according to the definitions agreed by the Intergovernmental Panel on Climate Change (IPCC), but excludes emissions from land use, land-use change, forestry and the use of bunker fuel. Emissions from international aviation (except those from incoming international flights) were included. The ETS emission budget for 2050 is based on a 90% emission reduction, compared to 2005 levels. This is in the middle of the range of 88% to 92% indicated by the EC in the Roadmap scenario for 2050 (Table 9 in EC, 2011b). The ETS scope is that of the revised ETS directive (2009/29/EC), but excludes emissions from incoming international flights, which is similar to the assumptions in the Roadmap scenario (EC, 2011b). For emissions from aviation that are included in the ETS, we assumed an emission budget of 100 Mt CO 2 for 2050 (excluding incoming international flights), which roughly corresponds with the emission level projected for 2050 in the Roadmap scenario (EC, 2011b). These assumptions result in a non-ets emission reduction target of 30% for 2030, compared to 2005 levels (see Table 1). This target is in the middle of the range of 24% to 36% indicated by the EC in the Roadmap scenario for 2050 (Table 9 in EC, 2011b). PBL Netherlands Environmental Assessment Agency 9
10 Table 1. EU27 emission targets and budgets for the ETS and non-ets sectors % reduction compared to base-year emission level base year EU total % -40% -80% ETS total % -43% -90% - stationary % -45% -94% installations - aviation % -15% -34% non-ets % -30% -69% emission budget in Mt CO 2 equivalents EU total 5,644 5,262 4,515 3,367 1,129 ETS total 2,447 1,958 1, stationary 2,296 1,814 1, aviation non-ets 2,809 2,528 1, Sources: EC (2011b), EC (2012a), EEA (2013) and PBL calculations Table does not include data from Croatia, and excludes emissions from incoming international flights. 3.2 Effort sharing by EU Member States to achieve the European non-ets target Effort sharing for non-ets emission reductions up to 2020 The current European Effort Sharing Decision (406/2009/EC) sets a 10% reduction target for 2020, compared to 2005 levels, for European greenhouse gas emissions that are not covered by the ETS. The European effort to meet this target is shared among Member States in such a way that GDP effects are distributed in a fair and equitable manner (EC, 2008). This is considered to be the case under the following effort sharing principles: The Member State that had the lowest level of GDP per capita in 2005 is allowed to increase its emissions by 20% by 2020, compared to its 2005 level; The reduction targets for the three Member States that had the highest levels of GDP per capita in 2005 are set at 20% below those 2005 levels; The reduction targets for Member States that, in 2005, had a GDP level, per capita, that was equal to the EU average are set at the average EU reduction target; The targets for all other Member States are set according to a linear function of the GDP per capita of For the countries with below-average GDP per capita, this function is based on the minimum and average targets; for those with above-average level of GDP per capita, the function is based on the maximum and average targets. The above principles results in an overall reduction target of about 10%, compared to 2005 emission levels. Bulgaria, being the least wealthy Member State, is allowed to increase its non-ets emissions by 20% by 2020, compared to its 2005 level, while Luxembourg, Denmark and Ireland (the three Member States that had the highest level of GDP per capita in 2005) need to reduce their non-ets emissions by 20%, compared to those 2005 levels. The Netherlands, one of the richest Member States, has a reduction target of 16% (Figure 1). The relative efforts were agreed in 2008/2009 and were recently translated in absolute annual non- ETS emission budgets for the period up to 2020, for each Member State (EC, 2013b). PBL Netherlands Environmental Assessment Agency 10
11 Assumptions on non-ets effort sharing up to 2030 For this paper, we applied similar principles as those used by the European Commission for the effort sharing up to The only two differences are that i) we used the GDP per capita figures of 2012 from Eurostat (2013), and ii) we changed the emission range of -20% to +20% in order to arrive at a total average non-ets EU reduction of 30%, compared to 2005 levels. As we used GDP data on 2012, we did not take into account any feedbacks of emission reductions on GDP. The emission budgets for 2030 were calculated using the target (percentage) and the 2005 emission levels. Figure 4 and Table 4 (in the Annex) provide insights into the differences in GDP per capita between Member States in 2005 and The EU average GDP per capita increased by 13% between 2005 and At the same time, the absolute differences between Member States increased, too. In 2005, the standard deviation of the level of GDP per capita was about 14,000 euros, compared to more than 16,000 in 2012 (Table 4 in the Annex). In most Member States, GDP per capita increased by more than the EU average, between 2005 and However, in some relatively large countries, such as the United Kingdom, Spain and Italy, GDP per capita increased by substantially less than the EU average; the United Kingdom even showed an absolute decrease in the level of GDP per capita between 2005 and Other (relatively small) Member States with increases in the level of GDP per capita that were lower than the EU average are Cyprus, Ireland, Greece, Hungary and Portugal. The level of GDP per capita of the Netherlands increased by 14% between 2005 and Bulgaria remains the Member State with the lowest GDP per capita. In 2005, Luxemburg, Ireland, and Denmark formed the top three of wealthiest Member States. By 2012, Sweden replaced Ireland in this top three. As for the range of emission reduction targets across Member States, we included two default scenarios that differ in the assumed emission target for the least wealthy Member State. The emission targets for all other Member States result from the effort sharing principles as described above. PBL Netherlands Environmental Assessment Agency 11
12 Scenario A: Least wealthy Member State will stabilise its emissions at the 2005 level by 2030 In scenario A, the emission reduction target for 2030 for the least wealthy Member State (Bulgaria) is set at 0%, relative to its 2005 emission level. The rationale behind this scenario is that non-ets emissions on a European level need to be reduced by 30% by 2030, from 2005 levels, compared to 10% under the current effort sharing up to This implies that an additional 20 percentage points must be reduced by 2030, compared to the reduction target for Therefore, we lowered the increase in emissions for the least wealthy Member State by 20 percentage points, relative to the effort sharing up to This resulted in a reduction target of 0% for 2030, compared to 2005 levels, for the least wealthy Member State. Under this scenario, in order to achieve the 30% overall EU non-ets reduction target, the targets for the three wealthiest Member States were set at about 47% below 2005 levels (Figure 5). PBL Netherlands Environmental Assessment Agency 12
13 PBL Netherlands Environmental Assessment Agency 13
14 4 Detailed results This section presents the findings of our sensitivity analyses and discusses some caveats when interpreting the results. Numerical results can be found in the last part of this section. 4.1 Sensitivity analysis Adjusting the minimum reduction target for the least wealthy Member State In our default scenarios, the minimum reduction target for the least wealthy Member State was kept constant at 0%, but the base year varied (2005 or 2020). In order to analyse the effect of a different minimum reduction target (compared to the same base year), we analysed two variants on our default scenario: The non-ets emissions target for 2030, for the least wealthy Member State was set at 5% below its 2005 emission level. This variant increases the reduction target for the least wealthy Member State, compared to that under scenario A. The non-ets emissions target for 2030, for the least wealthy Member State was set at 5% above the 2020 emission target. This variant decreases the reduction target for the least wealthy Member State, compared to that under scenario B. Increasing the emission reduction target for the least wealthy Member State by 5% of 2005 levels would lower the non-ets target for the wealthiest Member States by 3% (Table 2). This suggests that the reduction target for the wealthiest Member States is not very sensitive to the minimum reduction target for the least wealthy Member State. A similar conclusion can be drawn from the variant where a lower reduction target is assumed for the least wealthy Member State. In that case, the reduction target for the wealthiest Member States would increase by 3%. For the Netherlands, with an increase of 2% in both variants, the effect would be even smaller. This low sensitivity is due to the fact that the Member States less wealthy than the EU average, together, were responsible for only 28% of European non-ets emissions in Adjusting the reduction target for this group of Member States, therefore, would have relatively little impact on the targets for Member States wealthier than the EU average. It should be noted that small differences in emissions targets may have large impacts on the costs of achieving these targets, as the marginal costs of additional emission reductions can be substantial. Such cost estimates, however, were beyond the scope of this analysis. Raising the overall EU ambition level to an emission reduction of 45% We also analysed the effect that a higher EU ambition level to reduce emissions would have on effort sharing. For this purpose, we assumed an EU-wide emission reduction target of 45% for 2030, compared to 1990 levels. This would require the ETS and non-ets targets for 2030 to be raised to 48% and 36%, respectively, compared to 2005 levels. Such a division of ETS and non- ETS would fall within the range as indicated by the EC under a cost-optimal scenario (EC, 2011b). An increase in the non-ets reduction target from 30% to 36%, under our scenarios A and B, would lead to an increase in the non-ets emission reduction targets for all Member States, except for the least wealthy Member State (as this reduction target is assumed to remain constant). An EU reduction target of 45% would have the largest impact on the wealthiest Member States, including the Netherlands. Their reduction targets would increase by around 10%, relative to 2005 levels (Table 2). This implies that the reduction targets for the relatively wealthy Member States would be sensitive to the EU-wide ambition level. PBL Netherlands Environmental Assessment Agency 14
15 Combining a higher European non-ets reduction target with a higher reduction target for the least wealthy Member State, would lower the reduction target for the relatively wealthy Member States. Although this variant is not examined in this paper, the effect of a higher reduction target on the maximum reduction target, under such a scenario, would only be small. A sensitivity analysis of a 5% reduction increase for the least wealthy Member State showed a 3% lower reduction target for the most wealthy Member States (see previous section). 4.2 Discussion of the results Scenario assumptions not based on costs considerations Although we applied principles similar to those in the effort sharing up to 2020, our scenarios did not take the costs and effects of emission reductions on GDP into account. Therefore, this study cannot be considered an integral assessment. The effort sharing principles up to 2020 are defined by the European Commission in such a way that any impacts on welfare are distributed in a fair and equitable manner (EC, 2008). Our results with respect to effort sharing could work out differently if effects on GDP also would be taken into account. However, this strongly depends on what politically would be considered as acceptable sharing of the costs among Member States. By analysing the effects of different assumptions, we could show the sensitivity of those assumptions on the effort sharing. Therefore, our sensitivity analysis included different minimum reduction targets for the least wealthy Member State. Exploring other effort sharing principles by using 2 extreme scenarios Starting point for our analysis was an effort sharing principle for 2030 that is very similar to that used for However, a large variety of effort sharing principles are proposed in the literature, leading to a wide range of results (see Table 13.2 in Gupta et al., 2007 and Hof et al., 2009). As not all possible effort sharing principles could be studied, we chose the two in our view most extreme principles. The outcome of the other feasible effort sharing principles are likely to fit somewhere within the range between these two scenario variants: Continuation of the current effort sharing agreement, but also taking into account the EU target of reducing 30% of non-ets emissions by Under this variant, the emission reduction effort for Member States, relative to the EU average of 10% (e.g. the 16% reduction target for the Netherlands for 2020 is 60% higher than the EU average) is multiplied by the EU reduction target for 2030 of 30%. This would result in a range of reduction targets for 2030 from a 63% increase to a 63% decrease, compared to 2005 emission levels. For the Netherlands, this would result in a reduction target of 50% below its 2005 emission level. Compared to other variants discussed in this paper, this would result in a further divergence of reduction targets across Member States; No effort sharing after Under this variant, the non-ets emission reduction target for all Member States is lowered by 20 percentage points compared to their targets for This would result in a range of reduction targets from 0% (below 2005 levels) for the least wealthy Member State to 40% for the wealthiest Member States. Compared to other variants discussed in this paper, the discontinuation of effort sharing after 2020 would result in a convergence of the reduction targets for all Member States. Effort sharing from a long-term perspective In order to realise a low-carbon economy, deep emission reductions are required. The European Commission has calculated that, in a cost-optimal scenario, non-ets emissions would need to be reduced by around 69% by 2050, compared to 2005 levels (EC, 2011b). We analysed whether the effort sharing method that was agreed for the 2020 horizon would also be suitable for such deep emission reductions. If large differences in GDP between Member States would persist, as projected by the European Commission (EC, 2012b), this method may result in very deep reductions or even negative emissions by 2050 for wealthy Member States. This could be deemed PBL Netherlands Environmental Assessment Agency 15
16 unacceptable from a political standpoint. However, by adjusting the minimum reduction target of the least wealthy Member State, this could be avoided. We found that, if the EU non-ets emission reduction target were to be set at 69% for 2050 and the least wealthy Member State would be required to stabilise its emissions at the 2005 level, the wealthiest Member States would be required to reduce their non-ets emissions by around 110%. This implies that those wealthier Member States need to sequester emissions. This can be avoided by setting the minimum reduction target to 18% or higher, compared to 2005 levels. This would lead to a reduction target of below 100% for the wealthiest Member States. Although this paper gives no indication of acceptable minimum (or maximum) reduction targets, we may conclude that the method itself could be used for achieving deep emission reductions beyond It should also be noted that the current EU Effort Sharing Decision allows for trade in emission allowances between Member States. That means that Member States with large emission reduction targets may decide to reduce emissions not entirely domestically but also in other Member States. This may help to alleviate the effects of deep emission reductions on GDP. Non-ETS emission budgets not corrected for ETS scope in the third trading period The non-ets emission budgets for 2030 were calculated using emission levels from the same base year (2005) as was used by the European Commission for calculating the non-ets emission budgets for 2020 (EC, 2013b). Although these data were corrected for changes in the scope of the ETS from the first trading period ( ) to the second ( ), the data were not corrected for changes in scope between the second and third trading periods ( ). The scope in the third trading period is relevant for the emission budgets for 2020, but also for those for Considering that more sectors and greenhouse gases will be included within the scope of ETS in the third trading period (compared to the second period), the overall non-ets emission level in the base year (2005) is expected to be slightly lower than presented in Tables 2 and 3 1.As the emission levels of these additional sectors and greenhouse gases are relatively small compared to EU-wide emission levels, the quantitative impact of this unaccounted change also is expected to be relatively small. For the Netherlands, for example, a non-ets base year emission level of about 125 Mt CO 2 equivalents is estimated, which is 2 Mt lower than assumed in our analysis (Verdonk, 2011). This would result in an emission budget for 2030 that is about 1 Mt CO 2 equivalents lower than shown in Table 3. 1 Non-ETS emissions in 2005 presented in Table 1 include an estimation of a corrected ETS scope for the third trading period. However, this estimation is not available on Member State level. PBL Netherlands Environmental Assessment Agency 16
17 4.1 Detailed results The full numerical results from our analyses are presented in Tables 2 and 3 below. Table 2. Non-ETS emission targets for 2030 (%) % relative to Mt CO 2 eq default scenarios scenario A scenario B scenario A but with minimum target of 5% below 2005 sensivity analysis scenario B but with minimum target of 5% above 2020 scenario A but with 45% EU reduction scenario B but with 45% EU reduction Austria 59-16% -41% -44% -39% -46% -49% -53% Belgium 83-15% -38% -41% -37% -43% -46% -49% Bulgaria 24 20% 0% 20% -5% 26% 0% 20% Cyprus 6-5% -22% -21% -23% -20% -27% -26% Czech Republic 63 9% -13% -2% -16% 1% -16% -5% Denmark 37-20% -47% -52% -44% -55% -58% -62% Estonia 6 11% -11% 2% -14% 6% -13% -1% Finland 35-16% -40% -43% -38% -45% -48% -52% France % -35% -38% -34% -39% -43% -46% Germany % -36% -39% -35% -40% -44% -47% Greece 63-4% -17% -16% -19% -14% -21% -20% Hungary 52 10% -6% 5% -10% 9% -8% 3% Ireland 47-20% -40% -46% -38% -48% -49% -54% Italy % -30% -32% -30% -32% -36% -39% Latvia 8 17% -8% 10% -12% 14% -10% 8% Lithuania 16 15% -8% 8% -12% 12% -10% 6% Luxembourg 10-20% -47% -52% -44% -55% -58% -62% Malta 1 5% -16% -8% -18% -5% -19% -12% Netherlands % -40% -43% -38% -45% -49% -52% Poland % -7% 8% -10% 13% -8% 7% Portugal 49 1% -15% -10% -17% -8% -18% -14% Romania 76 19% -1% 18% -6% 24% -1% 18% Slovakia 24 13% -11% 3% -14% 7% -14% 0% Slovenia 12 4% -17% -10% -19% -7% -21% -14% Spain % -25% -27% -26% -26% -31% -33% Sweden 46-17% -47% -50% -44% -53% -58% -61% United % -35% -39% -34% -40% -42% -46% Kingdom EU27 2,913-10% -30% -30% -30% -30% -36% -36% Source: PBL; 2005 emission data is from the European Commission PBL Netherlands Environmental Assessment Agency 17
18 Table 3. Non-ETS emission budgets for 2030 (Mt) Mt CO 2 equivalents default scenarios sensivity analysis Scenario A Scenario B Scenario A, but with minimum target of 5% below 2005 Scenario B, but with minimum target of 5% above 2020 Scenario A, but with 45% EU reduction Scenario B, but with 45% EU reductio n Austria Belgium Bulgaria Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden United Kingdom EU27 2,913 2,641 2,054 2,054 2,054 2,054 1,865 1,865 Source: PBL; 2005 emission data is from the European Commission PBL Netherlands Environmental Assessment Agency 18
19 Annex Table 4. Changes in gross domestic product, per capita, between 2005 and change Austria 29,800 36,400 22% Belgium 29,000 34,000 17% Bulgaria 3,000 5,400 80% Cyprus 18,400 20,500 11% Czech Republic 10,200 14,500 42% Denmark 38,300 43,800 14% Estonia 8,300 12,700 53% Finland 30,000 35,600 19% France 27,300 31,100 14% Germany 27,000 32,299 20% Greece 17,400 17,200-1% Hungary 8,800 9,800 11% Ireland 39,200 35,700-9% Italy 24,500 25,700 5% Latvia 5,800 10,900 88% Lithuania 6,300 11,000 75% Luxembourg 65,000 83,600 29% Malta 12,200 16,300 34% Netherlands 31,500 35,800 14% Poland 6,400 9,900 55% Portugal 14,600 15,600 7% Romania 3,700 6,200 68% Slovakia 7,100 13,200 86% Slovenia 14,400 17,200 19% Spain 21,000 22,700 8% Sweden 33,000 43,000 30% United Kingdom 31,000 30,500-2% Total EU 22,600 25,600 13% Standard deviation 14,032 16,205 Source: Eurostat (2013) and PBL calculations PBL Netherlands Environmental Assessment Agency 19
20 Literature EC (2008). Annex to the Impact Assessment. Document accompanying the Package Implementation measures for the EU s objectives on climate change and renewable energy for SEC (2008) 85. European Commission, Brussels. EC (2011a). A Roadmap for moving to a competitive low carbon economy by COM (2011) 122 final. European Commission, Brussels. EC (2011b). Impact Assessment. Accompanying document to the communication on A Roadmap for moving to a competitive low carbon economy by SEC (2011) 288 final. European Commission, Brussels. EC (2012a). Preparing the EU s Quantified Emission Limitation or Reduction Objective (QELRO) based on the EU Climate and Energy Package. SWD (2012) 18 final. European Commission, Brussels. EC (2012b). The 2012 Ageing Report Economic and budgetary projections for the 27 EU Member States ( ). European Commission, Brussels. EC (2013a). Green Paper: A 2030 framework for climate and energy policies. COM (2013) 169, European Commission, Brussels. EC (2013b). Commission Decision on determining Member States annual emission allocations for the period from 2013 to European Commission, Brussels. EEA (2013). Greenhouse Gas Data viewer. Data extracted on 3 June European Environment Agency, Copenhagen. Eurostat (2013). Gross Domestic Product at market prices, Euros per inhabitant. Market Exchange Rates. Data extracted on 22 July Gupta S, Tirpak DA, Burger N, Gupta J, Höhne N, Boncheva AI, Kanoan GM, Kolstad C, Kruger JA, Michaelowa A, Murase S, Pershing J, Saijo T and Sari A. (2007). Policies, instruments and cooperative arrangements, in: Metz, B., Davidson, O.R., Bosch, P.R., Dave, R., Meyer, L.A. (Eds.), Climate Change 2007: Mitigation. Contribution of working group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. Hof AF, Den Elzen MGJ and Van Vuuren DP (2009). Environmental effectiveness and economic consequences of fragmented vs universal regimes: What can we learn from model studies? International Environmental Agreements: Politics, Law and Economics 9, Ministry of IenM (2013) Aanbieding concept kabinetsreactie groenboek Een 2030 raamwerk voor klimaat- en energiebeleid. Ministry of Infrastructure and the Environment, The Hague Verdonk M. (2011). Emissions and targets of greenhouse gases not included in the Emission Trading System Publication number , PBL Netherlands Environmental Assessment Agency, The Hague. Parts of this publication may be reproduced, providing the source is stated, in the form: Verdonk and Hof (2013), Non-ETS emission targets for PBL publication number 1192, PBL Netherlands Environmental Assessment Agency, The Hague. PBL Netherlands Environmental Assessment Agency 20
COMMUNICATION FROM THE COMMISSION
EUROPEAN COMMISSION Brussels, 17.9.2014 C(2014) 6767 final COMMUNICATION FROM THE COMMISSION Updating of data used to calculate lump sum and penalty payments to be proposed by the Commission to the Court
41 T Korea, Rep. 52.3. 42 T Netherlands 51.4. 43 T Japan 51.1. 44 E Bulgaria 51.1. 45 T Argentina 50.8. 46 T Czech Republic 50.4. 47 T Greece 50.
Overall Results Climate Change Performance Index 2012 Table 1 Rank Country Score** Partial Score Tendency Trend Level Policy 1* Rank Country Score** Partial Score Tendency Trend Level Policy 21 - Egypt***
Six greenhouse gases covered by the United Nations Framework Convention on Climate Change (UNFCCC) and its Kyoto Protocol are:
Fact sheet: The need for mitigation United Nations Framework Convention on Climate Change Along with adaptation, mitigation is one of the two central approaches in the international climate change process.
Comprehensive emissions per capita for industrialised countries
THE AUSTRALIA INSTITUTE Comprehensive emissions per capita for industrialised countries Hal Turton and Clive Hamilton The Australia Institute September 2001 the Parties included in Annex I shall implement
Energy prices in the EU Household electricity prices in the EU rose by 2.9% in 2014 Gas prices up by 2.0% in the EU
92/2015-27 May 2015 Energy prices in the EU Household electricity prices in the EU rose by 2.9% in 2014 Gas prices up by 2.0% in the EU In the European Union (EU), household electricity prices 1 rose by
99/2015-9 June 2015. EU28, euro area and United States GDP growth rates % change over the previous quarter
2005Q1 2005Q2 2005Q3 2005Q4 2006Q1 2006Q2 2006Q3 2006Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1 2009Q2 2009Q3 2009Q4 2010Q1 2010Q2 2010Q3 2010Q4 2011Q1 2011Q2 2011Q3 2011Q4 2012Q1
SUBMISSION BY DENMARK AND THE EUROPEAN COMMISSION ON BEHALF OF THE EUROPEAN UNION AND ITS MEMBER STATES
SUBMISSION BY DENMARK AND THE EUROPEAN COMMISSION ON BEHALF OF THE EUROPEAN UNION AND ITS MEMBER STATES Copenhagen, 19 April 2012 Subject: Information on the quantified objectives (QELROs) for the second
187/2014-5 December 2014. EU28, euro area and United States GDP growth rates % change over the previous quarter
187/2014-5 December 2014 This News Release has been revised following an error in the data for Gross Fixed Capital Formation. This affects both the growth of GFCF and its contribution to GDP growth. All
SMEs access to finance survey 2014
EUROPEAN COMMISSION MEMO Brussels, 12 November 2014 SMEs access to finance survey 2014 This memo outlines the results of a survey undertaken by the European Commission to provide policy makers with evidence
EUF STATISTICS. 31 December 2013
. ESTIMATES OF EU TURNOVER VOLUMES. Turnover volumes by product, allocation and notification (Estimates of EU s, Millions of ) Estimate of the EU % on Turnover Significance of the sample on total turnover
First estimate for 2014 Euro area international trade in goods surplus 194.8 bn 24.2 bn surplus for EU28
30/2015-16 February 2015 First estimate for 2014 Euro area international trade in goods surplus 194.8 bn 24.2 bn surplus for EU28 The first estimate for the euro area 1 (EA18) trade in goods balance with
193/2014-15 December 2014. Hourly labour costs in the EU28 Member States, 2012 (in )
193/2014-15 December 2014 Labour Cost Survey 2012 in the EU28 Labour costs highest in the financial and insurance sector Three times higher than in the accommodation and food sector In 2012, average hourly
Electricity and natural gas price statistics 1
Electricity and natural gas price statistics 1 Source: Statistics Explained (http://epp.eurostat.ec.europa.eu/statistics_explained/) - 21/11/2011-09:11:44 Electricity and natural gas price statistics Data
Annual European Union greenhouse gas inventory 1990 2013 and inventory report 2015
EEA Technical report No 19/2015 Annual European Union greenhouse gas inventory 1990 2013 and inventory report 2015 Submission to the UNFCCC Secretariat ISSN 1725-2237 EEA Technical report No 19/2015 Annual
FUSIONS Food waste data set for EU-28. New Estimates and Environmental Impact
FUSIONS Food waste data set for EU-28 New Estimates and Environmental Impact 15 October 2015 Food waste is an issue of importance to global food security and good environmental governance, directly linked
EUROPE 2020 TARGETS: RESEARCH AND DEVELOPMENT
EUROPE 2020 TARGETS: RESEARCH AND DEVELOPMENT Research, development and innovation are key policy components of the EU strategy for economic growth: Europe 2020. By fostering market take-up of new, innovative
Labour Force Survey 2014 Almost 10 million part-time workers in the EU would have preferred to work more Two-thirds were women
75/2015-27 April 2015 Labour Force Survey 2014 Almost 10 million part-time workers in the EU would have preferred to work more Two-thirds were women Among the 44.1 million persons in the European Union
ERASMUS+ MASTER LOANS
ERASMUS+ MASTER LOANS Erasmus+ Master Loan: opening up access to more affordable lending for cross-border studies The Erasmus+ programme makes it possible for students who want to take a full Masters level
Fact sheet: The Kyoto Protocol
Fact sheet: The Kyoto Protocol The Kyoto Protocol was adopted at the third Conference of the Parties to the UNFCCC (COP 3) in Kyoto, Japan, on 11 December 1997. The Protocol shares the objective and institutions
1. Perception of the Bancruptcy System... 2. 2. Perception of In-court Reorganisation... 4
Bankruptcy Systems and In-court Reorganisation of Firms, 2010 Content: 1. Perception of the Bancruptcy System... 2 2. Perception of In-court Reorganisation... 4 3. Perception of Creditor Committees, Fast
ERASMUS+ MASTER LOANS
Ref. Ares(2015)660570-17/02/2015 ERASMUS+ MASTER LOANS Erasmus+ Master Loan: opening up access to more affordable lending for cross-border studies The Erasmus+ programme makes it possible for students
CENTRAL BANK OF CYPRUS
APPENDIX 2 NOTIFICATION BY A BANK INCORPORATED IN CYPRUS, WHICH WISHES TO PROVIDE SERVICES, ON A CROSS BORDER BASIS, IN OTHER EUROPEAN UNION (E.U.) MEMBER STATES IN ACCORDANCE WITH ARTICLE (28) OF THE
Alcohol Consumption in Ireland 1986-2006 A Report for the Health Service Executive
Alcohol Consumption in Ireland 1986-2006 A Report for the Health Service Executive Prepared by Dr. Ann Hope This report should be referenced: Hope, A. (2007). Alcohol consumption in Ireland 1986-2006.
How To Understand Factoring
EIF Project "Jeremie" General Report on Factoring 1 Market analysis on Factoring in EU 25+2 prepared by International Factors Group (IFG) for European Investment Fund (EIF) project JEREMIE Preliminary
168/2014-4 November 2014. At risk of poverty or social exclusion 2 rate in the EU28, 2008-2013 (% of total population)
168/2014-4 November 2014 At risk of poverty or social exclusion in the EU28 More than 120 million persons at risk of poverty or social exclusion in 2013 Almost 1 out of every 4 persons in the EU in this
Waste. Copenhagen, 3 rd September 2014. Almut Reichel Project Manager Sustainable consumption and production & waste, European Environment Agency
Waste Copenhagen, 3 rd September 2014 Almut Reichel Project Manager Sustainable consumption and production & waste, European Environment Agency Waste and material resources MAWP Strategic Area 1.9 Objective
Credit transfer to Customer account with AS "Meridian Trade Bank" EUR, USD free of charge * - 4.1.2. Other countries currency information in the Bank
Pricelist for individuals residents of Latvia SERVICES 4. TRANSFERS In the Bank PRICE LIST IN EUR Using «MultiNet» 4.1. 4.1.1. Credit transfer to Customer account with EUR, USD free of charge * 4.1.2.
FEDERATION EUROPEENNE DE LA MANUTENTION Product Group. industrial trucks. A brief guide for identification of noncompliant. - Exhaust Emission -
FEDERATION EUROPEENNE DE LA MANUTENTION Product Group Industrial Trucks FEM A brief guide for identification of noncompliant industrial trucks 11.2010 (E) - Exhaust Emission - I n d e x 1 Introduction...
13 th Economic Trends Survey of the Architects Council of Europe
13 th Economic Trends Survey 13 th Economic Trends Survey of the Architects Council of Europe 13 th Economic Trends Survey Breakdown of responses COUNTRY ANSWERS France 1464 Belgium 399 Spain 365 Italy
NEW PASSENGER CAR REGISTRATIONS BY ALTERNATIVE FUEL TYPE IN THE EUROPEAN UNION 1 Quarter 4 2015
NEW PASSENGER CAR REGISTRATIONS BY ALTERNATIVE FUEL TYPE IN THE Quarter 4 2015 Alternative fuel vehicle (AFV) registrations: +20.0% in 2015; +21.1% in Q4 In the fourth quarter of 2015, total alternative
Size and Development of the Shadow Economy of 31 European and 5 other OECD Countries from 2003 to 2015: Different Developments
January 20, 2015 ShadEcEurope31_January2015.doc Size and Development of the Shadow Economy of 31 European and 5 other OECD Countries from 2003 to 2015: Different Developments by Friedrich Schneider *)
CO2 BASED MOTOR VEHICLE TAXES IN THE EU IN 2016
CO2 BASED MOTOR VEHICLE TAXES IN THE EU IN 2016 AUSTRIA A fuel consumption tax (Normverbrauchsabgabe or NoVA) is levied upon the first registration of a passenger car. It is calculated as follows: (CO2
CO2 BASED MOTOR VEHICLE TAXES IN THE EU IN 2015
CO2 BASED MOTOR VEHICLE TAXES IN THE EU IN 2015 COUNTRY AT (AUSTRIA) BE (BELGIUM) BG (BULGARIA) CO2/FUEL CONSUMPTION TAXES A fuel consumption tax (Normverbrauchsabgabe or NoVA) is levied upon the first
EXECUTIVE SUMMARY. Measuring money laundering at continental level: The first steps towards a European ambition. January 2011 EUROPEAN COMMISSION
MONEY LAUNDERING IN EUROPE Measuring money laundering at continental level: The first steps towards a European ambition EXECUTIVE SUMMARY January 2011 EUROPEAN COMMISSION DG HOME AFFAIRS FIGHT AGAINST
Computing our Future Computer programming and coding in schools in Europe. Anja Balanskat, Senior Manager European Schoolnet
Computing our Future Computer programming and coding in schools in Europe Anja Balanskat, Senior Manager European Schoolnet ABOUT THE SURVEY What do Ministries currently think about the topic? Curricula
Beer statistics. 2014 edition. The Brewers of Europe
Beer statistics 2014 edition The Brewers of Europe Beer statistics 2014 edition The Brewers of Europe Editor: Marlies Van de Walle 1st edition, October 2014 ISBN 978-2-9601382-3-8 EAN 9782960138238 1
Costs of air pollution from European industrial facilities 2008 2012 an updated assessment
Costs of air pollution from European industrial facilities 2008 2012 an updated assessment Summary In 2012, air pollution from European industrial facilities cost at least EUR 59 billion (and up to EUR
THE ROLE OF PUBLIC SUPPORT IN THE COMMERCIALISATION OF INNOVATIONS
Flash Eurobarometer THE ROLE OF PUBLIC SUPPORT IN THE COMMERCIALISATION OF INNOVATIONS REPORT Fieldwork: January February 2014 Publication: May 2014 This survey has been requested by the European Commission,
International Hints and Tips
International Hints and Tips Content Q: What is the cut off time for processing International payments? A: International payments must be submitted and fully approved within the cut off time indicated
Proposal from the Philippines for amendments to the Kyoto Protocol
UNITED NATIONS Distr. GENERAL FCCC/KP/CMP/2009/5 12 June 2009 Original: ENGLISH CONFERENCE OF THE PARTIES SERVING AS THE MEETING OF THE PARTIES TO THE KYOTO PROTOCOL Fifth session Copenhagen, 7 18 December
Survey on the access to finance of enterprises (SAFE) Analytical Report 2014
Survey on the access to finance of enterprises (SAFE) Analytical Report 2014 Written by Sophie Doove, Petra Gibcus, Ton Kwaak, Lia Smit, Tommy Span November 2014 LEGAL NOTICE This document has been prepared
Statistical Data on Women Entrepreneurs in Europe
Statistical Data on Women Entrepreneurs in Europe September 2014 Enterprise and Industry EUROPEAN COMMISSION Directorate-General for Enterprise and Industry Directorate D SMEs and Entrepreneurship Unit
NERI Quarterly Economic Facts Summer 2012. 4 Distribution of Income and Wealth
4 Distribution of Income and Wealth 53 54 Indicator 4.1 Income per capita in the EU Indicator defined National income (GDP) in per capita (per head of population) terms expressed in Euro and adjusted for
Updated development of global greenhouse gas emissions 2013
Updated development of global greenhouse gas emissions 2013 Hans-Joachim Ziesing Low Carbon Markets and the Legacy of Nuclear Power 19 th REFORM Group Meeting, Schloss Leopoldskron, Salzburg September
OVERVIEW OF PURCHASE AND TAX INCENTIVES FOR ELECTRIC VEHICLES IN THE EU
01.04.2014 OVERVIEW OF PURCHASE AND TAX INCENTIVES FOR ELECTRIC VEHICLES IN THE EU This table provides an overview of the incentives that are granted in the Member States of the European Union for the
The Guardianship Service
The Guardianship Service How can they help you? When you arrive in Belgium Are you under the age of 18 and have you arrived in Belgium without your father or mother? You are searching for support and accommodation
SEPA. Changes in the Payment System Implementation of the European SEPA Regulations for Kuna and Euro Payments
SEPA Changes in the Payment System Implementation of the European SEPA Regulations for Kuna and Euro Payments SEPA The Single Euro Payments Area (SEPA) stands for a European Union (EU) payments integration
Greenhouse gas emission trends and projections in Europe 2012
EEA Report No 6/212 Greenhouse gas emission trends and projections in Europe 212 Tracking progress towards Kyoto and 22 targets ISSN 1725-9177 EEA Report No 6/212 Greenhouse gas emission trends and projections
ERMInE Database. Presentation by Nils Flatabø SINTEF Energy Research. ERMInE Workshop 2 - Northern Europe Oslo, 1. November 2006
ERMInE Database Presentation by Nils Flatabø SINTEF Energy Research ERMInE Workshop 2 - Northern Europe Oslo, 1. November 26 Overview Content of the Ermine Database Electronic Questionnaire RTD&D Data
Technical & Trade Schools Europe Report
Brochure More information from http://www.researchandmarkets.com/reports/3106479/ Technical & Trade Schools Europe Report Description: TECHNICAL & TRADE SCHOOLS EUROPE REPORT The Technical & Trade Schools
72/2015-21 April 2015
72/2015-21 April 2015 Provision of deficit and debt data for 2014 - first notification Euro area and EU28 government deficit at 2.4% and 2.9% of GDP respectively Government debt at 91.9% and 86.8% In 2014,
IEWT 2011 TOWARDS AN EFFECTIVE AND EFFICIENT RES TARGET FULFILLMENT FROM BAU TO STRENGTHENED NATIONAL POLICIES WITH PROACTIVE RISK MITIGATION
TOWARDS AN EFFECTIVE AND EFFICIENT RES TARGET FULFILLMENT FROM BAU TO STRENGTHENED NATIONAL POLICIES WITH PROACTIVE RISK MITIGATION Vienna University of Technology, 7 th IEWT Slide 1 Cost estimates of
Drink Driving in Europe
Safe & Sober: Reducing deaths and injuries from drink driving Copenhagen, 27 January 2010 Drink Driving in Europe Vojtech EKSLER Policy analyst Introduction to ETSC A science-based approach to road safety
SURVEY ON THE TRAINING OF GENERAL CARE NURSES IN THE EUROPEAN UNION. The current minimum training requirements for general care nurses
SURVEY ON THE TRAINING OF GENERAL CARE NURSES IN THE EUROPEAN UNION This survey serves as a background document for the discussion of the Commission's legislative proposal to modernize the minimum requirements
How To Calculate Tax Burden In European Union
The Tax Burden of Typical Workers in the EU 28 2015 James Rogers Cécile Philippe Institut Économique Molinari, Paris Bruxelles TABLE OF CONTENTS Abstract 2 Background 2 Main Results 3 On average, a respite
Car tax refund on export
Car tax customer bulletin 13 Car tax refund on export www.tulli.fi 1 January 2015 Replaces the bulletin from August 2014 Car tax refund on export This bulletin applies to getting refund on export if a
INNOBAROMETER 2015 - THE INNOVATION TRENDS AT EU ENTERPRISES
Eurobarometer INNOBAROMETER 2015 - THE INNOVATION TRENDS AT EU ENTERPRISES REPORT Fieldwork: February 2015 Publication: September 2015 This survey has been requested by the European Commission, Directorate-General
REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT AND THE COUNCIL
EUROPEAN COMMISSION Brussels, 25.9.2014 COM(2014) 592 final REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT AND THE COUNCIL on the implementation in the period from 4 December 2011 until 31 December
DRAFT AMENDING BUDGET N 6 TO THE GENERAL BUDGET 2014 GENERAL STATEMENT OF REVENUE
EUROPEAN COMMISSION Brussels, 17.10.2014 COM(2014) 649 final DRAFT AMENDING BUDGET N 6 TO THE GENERAL BUDGET 2014 GENERAL STATEMENT OF REVENUE STATEMENT OF EXPENDITURE BY SECTION Section III Commission
Implementing the cooperation mechanisms of the RES directive current status and open questions
Implementing the cooperation mechanisms of the RES directive current status and open questions Corinna Klessmann, Ecofys Germany RE-SHAPING Workshop, Vilnius, 16.05.2011 Supported by Intelligent Energy
2020 RES scenarios for Europe
22 RES scenarios for Europe - are Member States well on track for achieving 22 RES targets? Authors: Gustav Resch, Lukas Liebmann, André Ortner, Sebastian Busch TU VIENNA / EEG Vienna, September 214 Compiled
Definition of Public Interest Entities (PIEs) in Europe
Definition of Public Interest Entities (PIEs) in Europe FEE Survey October 2014 This document has been prepared by FEE to the best of its knowledge and ability to ensure that it is accurate and complete.
The European Commission s strategy on Corporate Social Responsibility (CSR) 2011-2014: achievements, shortcomings and future challenges
The European Commission s strategy on Corporate Social Responsibility (CSR) 2011-2014: achievements, shortcomings and future challenges Fields marked with are mandatory. 1 Introduction - Background and
Pure Power. Wind Energy Scenarios up to 2030. By the European Wind Energy Association
Pure Power Wind Energy Scenarios up to 23 By the European Wind Energy Association Text and analysis: Arthouros Zervos and Christian Kjaer Project Coordinator: Sarah Clifford Design: www.inextremis.be Pure
Keeping European Consumers safe Rapid Alert System for dangerous non-food products 2014
Keeping European Consumers safe Rapid Alert System for dangerous non-food products 2014 COMPLETE STATISTICS Justice and Consumers Directorate-General for Justice and Consumers Directorate Consumers Unit
EIOPA Stress Test 2011. Press Briefing Frankfurt am Main, 4 July 2011
EIOPA Stress Test 2011 Press Briefing Frankfurt am Main, 4 July 2011 Topics 1. Objectives 2. Initial remarks 3. Framework 4. Participation 5. Results 6. Summary 7. Follow up 2 Objectives Overall objective
Public Debt and Contingent Liabilities: A Cross-Country Comparison
Public Debt and Contingent Liabilities: A Cross-Country Comparison Melchior Vella and Gevit Duca * 1. Contingent Liabilities 1.1 What are contingent liabilities? Contingent liabilities are obligations
Ownership transfer Critical Tax Issues. Johan Fall, Anders Ydstedt March, 2010
Ownership transfer Critical Tax Issues Johan Fall, Anders Ydstedt March, 2010 Ownership transfer Critical Tax Issues 1 Ownership transfer Critical Tax Issues INTRODUCTION In tough economic times family
Family benefits Information about health insurance country. Udbetaling Danmark Kongens Vænge 8 3400 Hillerød. A. Personal data
Mail to Udbetaling Danmark Kongens Vænge 8 3400 Hillerød Family benefits Information about health insurance country A. Personal data Name Danish civil registration (CPR) number Address Telephone number
The innovation value chain:
The innovation value chain: Context: where is the demand for demand-side innovation policy at in Europe? Lead Market Initiative: And lessons learned And future directions Henriette van Eijl EC, DG Enterprise,
Dublin, March 2013. EPSO Network of Experts in the field of Personnel Selection 14th March 2013
Dublin, March 2013 EPSO Network of Experts in the field of Personnel Selection 14th March 2013 On-going and upcoming competitions AD2012 by Citizenship AD2012 Citizenship %EU Population validated application
Direct Life Insurance Carrier Lines Europe Report
Brochure More information from http://www.researchandmarkets.com/reports/3106712/ Direct Life Insurance Carrier Lines Europe Report Description: DIRECT LIFE INSURANCE CARRIER LINES EUROPE REPORT The Direct
INTERNATIONAL TRACKED POSTAGE SERVICE
INTERNATIONAL TRACKED POSTAGE SERVICE Index Expanding Internationally...03 The Post NL Service...04 How it works... 05 Post NL Rates...06 Transit times...07 Customer Service...08 Expanding Internationally
THE ORGANISATION AND FINANCING OF HEALTH CARE SYSTEM IN LATVIA
THE ORGANISATION AND FINANCING OF HEALTH CARE SYSTEM IN LATVIA Eriks Mikitis Ministry of Health of the Republic of Latvia Department of Health Care Director General facts, financial resources Ministry
Wind energy scenarios for 2020. A report by the European Wind Energy Association - July 2014. Wind energy scenarios for 2020
A report by the European Wind Energy Association - July 2014 1 WIND ENERGY SCENARIOS FOR 2020 Content Background...3 Reasons for the new scenarios...3 Proposed new scenarios...3 Text and analysis: Jacopo
The Tax Burden of Typical Workers in the EU 28 2014 Edition. James Rogers & Cécile Philippe May 2014. (Cover page) Data provided by
(Cover page) The Tax Burden of Typical Workers in the EU 28 2014 Edition NEW DIRECTION Page 1 of 17 James Rogers & Cécile Philippe May 2014 New Direction aims to help shift the EU onto a different course
Renewable Energy Projections as Published in the National Renewable Energy Action Plans of the European Member States
Renewable Energy Projections as Published in the National Renewable Energy Action Plans of the European Member States Covering all 27 EU Member States L.W.M. Beurskens M. Hekkenberg ECN-E--10-069 1 February
- Assessment of the application by Member States of European Union VAT provisions with particular relevance to the Mini One Stop Shop (MOSS) -
- Assessment of the application by Member States of European Union VAT provisions with particular relevance to the Mini One Stop Shop (MOSS) - BACKGROUND The information available on this website relates
The current electricity costs of energy-intensive industries in Germany
Memo From: Dr. Felix Christian Matthes Energy & Climate Division [email protected] Berlin, 23 June 2013 The current electricity costs of energy-intensive industries in Germany Background The electricity
How To Study The Small Ruminant Population In The European Land Animals
1 Joint Research Centre (JRC) Economic Analysis of Electronic Identification (EID) of Small Ruminants in Member States IPSC - Institute for the Protection and Security of the Citizen Ispra - Italy http://ipsc.jrc.ec.europa.eu/
MOBILISING THE POTENTIAL OF ACTIVE AGEING IN EUROPE Trends in Healthy Life Expectancy and Health Indicators Among Older People in 27 EU Countries
Funded by the European Commission s Seventh Framework Programme FP7-SSH-2012-1/No 320333 The MOPACT Coordination Team The University of Sheffield Department of Sociological Studies Northumberland Road
4 Distribution of Income, Earnings and Wealth
4 Distribution of Income, Earnings and Wealth Indicator 4.1 Indicator 4.2a Indicator 4.2b Indicator 4.3a Indicator 4.3b Indicator 4.4 Indicator 4.5a Indicator 4.5b Indicator 4.6 Indicator 4.7 Income per
RULES FOR THE REIMBURSEMENT OF TRAVEL AND SUBSISTENCE EXPENSES FOR EXCHANGE OF OFFICIALS
EUROPEAN COMMISSION CONSUMERS, HEALTH AND FOOD EXECUTIVE AGENCY Consumers and Food Safety Unit RULES FOR THE REIMBURSEMENT OF TRAVEL AND SUBSISTENCE EXPENSES FOR EXCHANGE OF OFFICIALS CONSUMER PROGRAMME
ERASMUS+ MASTER LOANS
ERASMUS+ MASTER LOANS Erasmus+ Master Loan: opening up access to more affordable lending for cross-border studies The Erasmus+ programme makes it possible for students who want to take a full Master's-level
GDP per capita, consumption per capita and comparative price levels in Europe
Economy and finance Author: Lars SVENNEBYE Statistics in focus 2008 GDP per capita, consumption per capita and comparative price levels in Europe Final results for 2005 and preliminary results for 2006
Taxation trends in the European Union EU27 tax ratio fell to 39.3% of GDP in 2008 Steady decline in top corporate income tax rate since 2000
DG TAXUD 95/2010-28 June 2010 Taxation trends in the European Union EU27 tax ratio fell to 39.3% of GDP in 2008 Steady decline in top corporate income tax rate since 2000 The overall tax-to-gdp ratio 1
Investment and Investment Finance in Croatia, how can the EIB contribute? Dario Scannapieco and Debora Revoltella European Investment Bank
Investment and Investment Finance in Croatia, how can the EIB contribute? Dario Scannapieco and Debora Revoltella European Investment Bank 24 March 2014 Outline EU and Croatia key challenges The Investment
Technical & Trade School Lines Europe Report
Brochure More information from http://www.researchandmarkets.com/reports/3106478/ Technical & Trade School Lines Europe Report Description: TECHNICAL & TRADE SCHOOL LINES EUROPE REPORT The Technical &
The energy industry and energy price issues in Slovakia during recent years 1
The energy industry and energy price issues in Slovakia during recent years 1 Ing. Mikulá Cár, PhD. National Bank of Slovakia The energy industry and energy prices are becoming a subject of political decisions
The Tax Burden of Typical Workers in the EU 27 2013 Edition
(Cover page) The Tax Burden of Typical Workers in the EU 27 2013 Edition James Rogers & Cécile Philippe May 2013 Data provided by NEW DIRECTION Page 1 of 16 The Tax Burden of Typical Workers in the EU
EUROPE 2020 TARGET: EARLY LEAVERS FROM EDUCATION AND TRAINING
EUROPE 2020 TARGET: EARLY LEAVERS FROM EDUCATION AND TRAINING By 2020, the share of early leavers from education and training (aged 18-24) should be less than 10% Early school leaving 1 is an obstacle
TPI: Traffic Psychology International on a common European curriculum for postgraduate education in traffic psychology
TPI: Traffic Psychology International on a common European curriculum for postgraduate education in traffic psychology Sucha, M.*, Sramkova, L.** DeVol, D.* * TPI - Traffic Psychology International **
