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Nonparametric estimates of the clean and dirty energy substitutability

机译:清洁和肮脏能源替代性的非参数估计

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In growth theory, a greater-than-one elasticity of substitution between clean and dirty energy is among key necessary conditions for long-run green economic growth. Using parametric specifications, Papageorgiou et al. (2017) provide first estimates of this fundamentally important inter-energy substitution elasticity. We extend their work by relaxing restrictive functional-form assumptions about production technologies using flexible nonparametric methods. We find that the technological substitutability between clean and dirty energy inputs may not be that strong, especially in the case of a final-goods sector for which the inter-energy elasticity of substitution statistically exceeds one for at most a third of industries/countries. Hence, the favorability of technological conditions for long-run green growth may not be corroborated by the cross-country empirical evidence as strongly as previously thought. (C) 2018 Elsevier B.V. All rights reserved.
机译:在增长理论中,清洁能源和脏能源之间的替代弹性大于一是长期绿色经济增长的关键必要条件。使用参数规范,Papageorgiou等。 (2017年)提供了这一根本上重要的能源间替代弹性的初步估计。我们通过使用灵活的非参数方法放宽对生产技术的限制性功能形式假设来扩展他们的工作。我们发现,清洁能源和脏能源输入之间的技术可替代性可能不那么强,特别是在最终产品部门的情况下,其替代品的能量间弹性在统计学上最多超过三分之一的行业/国家。因此,跨国的经验证据可能并不能像以前所认为的那样证实技术条件对于长期绿色增长的有利性。 (C)2018 Elsevier B.V.保留所有权利。

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