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The REMIND-R model: the role of renewables in the low-carbon transformation-first-best vs. second-best worlds. (Special Issue: On the economics of decarbonization in an imperfect world.)

机译:REMIND-R模型:可再生能源在低碳转型中的作用-第一世界与第二世界。 (特刊:关于一个不完美世界的脱碳经济学。)

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Can near-term public support of renewable energy technologies contain the increase of mitigation costs due to delays of implementing emission caps at the global level To answer this question we design a set of first and second best scenarios to analyze the impact of early deployment of renewable energy technologies on welfare and emission timing to achieve atmospheric carbon stabilization by 2100. We use the global multiregional energy-economy-climate hybrid model REMIND-R as a tool for this analysis. An important design feature of the policy scenarios is the timing of climate policy. Immediate climate policy contains the mitigation costs at less than 1% even if the CO2 concentration target is 410 ppm by 2100. Delayed climate policy increases the costs significantly because the absence of a strong carbon price signal continues the carbon intensive growth path. The additional costs can be decreased by early technology policies supporting renewable energy technologies because emissions grow less, alternative energy technologies are increased in capacity and their costs are reduced through learning by doing. The effects of early technology policy are different in scenarios with immediate carbon pricing. In the case of delayed climate policy, the emission path can be brought closer to the first-best solution, whereas in the case of immediate climate policy additional technology policy would lead to deviations from the optimal emission path. Hence, technology policy in the delayed climate policy case reduces costs, but in the case of immediate climate policy they increase. However, the near-term emission reductions are smaller in the case of delayed climate policies. At the regional level the effects on mitigation costs are heterogeneously distributed. For the USA and Europe early technology policy has a positive welfare effect for immediate and delayed climate policies. In contrast, India looses in both cases. China loses in the case of immediate climate policy, but profits in the delayed case. Early support of renewable energy technologies devalues the stock of emission allowances, and this effect is considerable for delayed climate policies. In combination with the initial allocation rule of contraction and convergence a relatively well-endowed country like India loses and potential importers like the EU gain from early renewable deployment.
机译:可再生能源技术的近期公共支持能否抑制由于在全球范围内实施排放上限而导致的减排成本的增加?为了回答这一问题,我们设计了一系列最佳和第二最佳方案来分析及早部署可再生能源的影响。能源技术在福利和排放时机上要在2100年前实现大气碳稳定。我们使用全球多区域能源-经济-气候混合模型REMIND-R作为分析的工具。政策方案的一个重要设计特征是气候政策的时间安排。即使到2100年CO 2 的目标浓度为410 ppm,立即的气候政策仍将减排成本控制在1%以下。延迟的气候政策会显着增加成本,因为缺乏强有力的碳价信号会继续碳密集型增长路径。通过支持可再生能源技术的早期技术政策,可以减少额外的成本,因为排放量增长减少,替代能源技术的容量增加,边做边学,从而降低了成本。在采用即时碳定价的情况下,早期技术政策的效果是不同的。在延迟气候政策的情况下,可以使排放路径更接近最佳解决方案,而在立即气候政策的情况下,其他技术政策将导致偏离最佳排放路径。因此,在延迟气候政策的情况下,技术政策会降低成本,但在立即气候政策的情况下,技术成本会增加。但是,在延迟气候政策的情况下,近期减排量较小。在区域一级,对缓解成本的影响是异构分布的。对于美国和欧洲,早期的技术政策对立即和延迟的气候政策都具有积极的福利效果。相反,印度在这两种情况下都放松了。在立即采取气候政策的情况下,中国会失败,而在延迟政策的情况下,中国会获利。对可再生能源技术的早期支持使排放配额的存量贬值,并且这种影响对于延迟的气候政策而言是相当大的。与收缩和趋同的初始分配规则相结合,像印度这样的相对富裕的国家因此遭受损失,而像欧盟这样的潜在进口商则从早期可再生能源部署中获益。

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