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Social impacts of renewables in Germany – size, history and alleviation

机译:德国可再生能源的社会影响–规模,历史和缓解

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OverviewThe support of renewable energy in electricity generation has been subject to much debate. Fixed and guaranteed prices have turned out as the instrument of choice in 23 EU member states and in more than 100 countries globally. The details of the burden sharing process of additional costs from feed-in tariffs differ tremendously by country.Germany has taken early action in the support of renewables. Additional costs from guearanteed prices meanwhile amount to 18.7 billion Euro and have nearly doubled since 2010 (see below). This amount is paid by end-consumers of electricity, by means of the so-called renewable-energy-law surcharge. In 2015 this surcharge amounted to 6.170 ct/kWh and the calculated surcharge for 2016 has been projected in October 2015 to be 6.354 ct/kWh. The level of the surcharge is influenced by several factors from attainable prices on the electricity exchange to the ex-emption rules for certain electricity consumers. Final demand of energy intensive industry is exempt or pays a lower surcharge, not to distort international competitiveness. This mechanism, however, increases the burden on those consumers, which are not exempt. Total additional costs are also determined by the difference between the fixed tariff for renewables and the prices they can fetch on the electricity market. A typical situation is the high input of renewables and a low price at the stock market leading to a large cost difference.Like other taxes or surcharges, the RE surcharge is regressive, too. For some household higher lectricty prices are more than a mere nuisance; they decrease household income by a significant amount. Low income households often own less efficient appliances, and have few possibilities to react to rising electricity prices.The paper brings together several strands of results based on research implemented within the ongoing project “Im-pRES – Impact of Renewable Energy Sources in Germany”, supported by the Federal Ministry for Economic Af-fairs and Energy in Germany. The contents of the paper are the sole responsibility of its authors and do not neces-sarily reflect the views of the German Ministry. The paper explains the development of additional costs in RE elec-tricity generation as part of the annual monitoring process, it shows the distribution effects of the additional costs, with a particular focus on low income households and it reflects alternative support mechanisms and their respective distribution effects.MethodsThe paper draws from a variety of methods. The data on the development of additional costs stem from public data and own data analysis. The distribution effects are the result of model based simulation results obtained with the energy-economiy-econometric time series based model PANTA RHEI. PANTA RHEI is an extended version of macroeconometric simulation and forecasting model INFORGE, designed for analysing questions in the environ-mental economics field. The name, a quotation from the Greek philosopher Heraclites, means “everything flows” and sums up our approach perfectly. It models long-term structural change in economic development and in envi-ronmental-economic interdependencies. In addition to comprehensive economic modelling with our core INFORGE model, it also models energy consumption, air pollution, transport and land use and housing to a high level of detail (GWS 2015). The analysis of alternative choices to alleviate the distribution effects is based on desk research.ResultsThe additional costs amounted to 18.7 billion Euro in 2014 (Figure 1, left axis). The surcharge exhibits a different growth profile compared to the increase of additional costs. This is due to several reasons. Firstly, the level of the surcharge also depends on the amount of electricity exempted from it, because this changes the denominator of the ratio from additional costs and total consumption.Figure 1: Additional costs of electricity and RE surchargeSecondly, the surcharge is based on an annual forecast, which projects the RE increase and the development of de-mand. Progbnosis errors then are compensated in the consecutive period. (Breitschopf et al. 2015)Households bare are large share of the additional costs. On average, low income households are overproportionately affected, they spend less on all other consumption good due to their increase in electricity bills. The electricity bill takes 4.5% of all expenditures for households, where the household head is unemployed. Very large households of five people or more spend 3.2% of their total expenditure or 2.3% of their income on electricity. Compared to gov-ernmental employees, with 1.7% of their income, this is more than one third more (Lehr, Drosdowski 2015).What can be done to alleviate these effects? The paper summarizes the findings of Diekmann, Breitschopf and Lehr (2015), who analyse alternative financing schemes for renewables as well as different burden sharing schemes. They discuss changes in finance (reduction of the electricity tax, finance additional costs from public budget); changes in the burden sharing or the choice of supported technologies towards less expensive technologies, support of low income households with transfers or provision of more efficient appliances.ConclusionsAll in all the discussion above shows no simple silver bullet for reducing distributional impacts of the EEG sur-charge. It is important to note that the average burden of households is relatively low with a share of 0.6% of total consumer spending. In this respect, for households with middle incomes no significant problem of distribution oc-curs, despite the regressive effect. However, for vulnerable households, the increase in electricity prices, however, can lead to significant stresses, unless they are offset by the adjustment of social services.Nevertheless, shifting the EEG costs to a general tax funding does not help. Even fund models promise no convinc-ing solution. In addition to keeping the overall costs low, the special rules for energy-intensive companies should continue to be critically examined in order to limit the overall burden of non-privileged electricity consumers. In addition, attention should be directed specifically to the financial burden of low-income households in the discus-sion of distributional effects. On the part of social policy it must be ensured in particular that the benefits meet the current requirements.
机译:概述 可再生能源在发电中的支持一直引起很多争论。固定价格和保证价格已成为23个欧盟成员国和全球100多个国家的首选工具。上网电价产生的额外费用的负担分担过程的细节因国家而异。 德国已在支持可再生能源方面采取了早期行动。与此同时,保证价格带来的额外成本达到187亿欧元,自2010年以来几乎翻了一番(见下文)。这笔费用由最终用电者通过所谓的可再生能源法附加费来支付。 2015年,该附加费为6.170 ct / kWh,2016年的计算附加费预计在2015年10月为6.354 ct / kWh。附加费的水平受几个因素的影响,从可以达到的电力交换价格到某些用电商的免税规则。能源密集型产业的最终需求可以免除或支付较低的附加费,而不会扭曲国际竞争力。但是,这种机制增加了那些不免税的消费者的负担。总的额外成本还取决于可再生能源的固定电价与其在电力市场上可获得的价格之间的差额。典型的情况是可再生能源的高投入和股票市场的低价格,导致巨大的成本差异。 像其他税金或附加费一样,可再生能源附加费也是递减的。对于某些家庭来说,较高的电价不仅仅是令人讨厌的事;他们使家庭收入大大减少。低收入家庭通常拥有效率较低的电器,几乎没有办法对电价上涨做出反应。 本文基于在正在进行的“ Im-pRES –德国可再生能源的影响”项目中实施的研究,得出了几串结果,该项目得到了德国经济事务和能源联邦部的支持。本文的内容由作者全权负责,并不一定反映德国外交部的观点。该文件解释了作为年度监测过程一部分的可再生能源电力生产中附加成本的发展,它显示了附加成本的分配效应,特别是针对低收入家庭,它反映了替代性支持机制及其各自的分配。效果。 方法 本文采用了多种方法。有关增加成本的数据来自公共数据和自己的数据分析。分布效应是基于模型的模拟结果的结果,该模拟结果是使用基于能源-经济-计量经济学时间序列的模型PANTA RHEI获得的。 PANTA RHEI是宏观计量经济模拟和预测模型INFORGE的扩展版本,旨在分析环境经济学领域的问题。该名称来自希腊哲学家赫拉克利特斯(Heraclites)的名言,意思是“万物皆流”,完美地概括了我们的方法。它模拟了经济发展和环境经济相互依存关系中的长期结构性变化。除了使用我们的核心INFORGE模型进行全面的经济建模外,它还对能源消耗,空气污染,运输,土地使用和住房进行了高细节的建模(GWS 2015)。减轻案头影响的替代选择的分析是基于案头研究的。 结果 2014年的额外成本为187亿欧元(图1,左轴)。与附加费用的增加相比,附加费呈现出不同的增长趋势。这是由于几个原因。首先,附加费的水平还取决于免于附加费的电量,因为这改变了附加成本和总消耗的比率的分母。 图1:额外的电费和可再生能源附加费 其次,附加费基于年度预测,预测可再生能源的增长和需求的增长。然后,在连续的时间段内补偿预后误差。 (Breitschopf et al.2015) 裸露的家庭在额外费用中占很大比例。平均而言,低收入家庭受影响最大,由于电费增加,他们在所有其他消费品上的支出减少。电费占户主失业的所有家庭支出的4.5%。五人或五人以上的超大型家庭将其总支出的3.2%或其收入的2.3%用于电力。与政府雇员的收入(占其收入的1.7%)相比,增加了三分之一以上(Lehr,Drosdowski,2015年)。 如何减轻这些影响?本文总结了Diekmann,Breitschopf和Lehr(2015)的发现。,他分析了可再生能源的替代融资计划以及不同的负担分担计划。他们讨论了财务上的变化(减少电费,从公共预算中筹集额外费用);改变负担分担或选择支持的技术转向价格较低的技术,通过转让或提供更高效的电器来支持低收入家庭。 结论 上面的所有讨论都没有显示出任何简单的灵丹妙药来减少EEG附加费的分配影响。重要的是要注意,家庭的平均负担相对较低,占消费者总支出的0.6%。在这方面,尽管有退步效应,但对于中等收入家庭而言,分配问题没有大的问题。但是,对于弱势家庭来说,电价的上涨可能导致巨大的压力,除非它们被社会服务的调整所抵消。 然而,将EEG成本转移到一般税收资金上并没有帮助。即使是基金模型,也没有任何令人信服的解决方案。除了保持较低的总体成本外,应继续严格审查能源密集型公司的特殊规定,以限制非特权用电用户的总体负担。此外,在讨论分配效应时,应特别注意低收入家庭的经济负担。在社会政策方面,必须特别确保收益符合当前要求。

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