The Role of R&D and Technology Diffusion in Climate Change Mitigation: New Perspectives Using the Witch Model

V. Bosetti, C. Carraro, R. Duval, A. Sgobbi, M. Tavoni
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引用次数: 190

Abstract

This paper uses the WITCH model, a computable general equilibrium model with endogenous technological change, to explore the impact of various climate policies on energy technology choices and the costs of stabilising greenhouse gas concentrations. Current and future expected carbon prices appear to have powerful effects on R&D spending and clean technology diffusion. Their impact on stabilisation costs depends on the nature of R&D: R&D targeted at incremental energy efficiency improvements has only limited effects, but R&D focused on the emergence of major new low-carbon technologies could lower costs drastically if successful – especially in the non-electricity sector, where such low-carbon options are scarce today. With emissions coming from multiple sources, keeping a wide range of options available matters for stabilisation costs more than improving specific technologies. Due to international knowledge spillovers, stabilisation costs could be further reduced through a complementary, global R&D policy. However, a strong price signal is always required.
研发和技术扩散在减缓气候变化中的作用:基于Witch模型的新视角
本文使用WITCH模型(一个具有内生技术变化的可计算一般均衡模型)来探讨各种气候政策对能源技术选择和稳定温室气体浓度成本的影响。当前和未来的预期碳价格似乎对研发支出和清洁技术扩散具有强大的影响。它们对稳定成本的影响取决于研发的性质:以逐步提高能源效率为目标的研发只有有限的效果,但专注于主要新低碳技术出现的研发如果成功,可能会大幅降低成本——尤其是在非电力部门,目前这种低碳选择很少。由于排放来自多个来源,保持广泛的选择范围比改进特定技术对稳定成本更重要。由于国际知识溢出,稳定成本可以通过互补的全球研发政策进一步降低。然而,强烈的价格信号总是必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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