Department of Economics, Faculty of Economics and Administrative Sciences, Aydın Adnan Menderes University, Nazilli, Aydın, Turkey.
Environ Sci Pollut Res Int. 2020 Jul;27(21):26554-26569. doi: 10.1007/s11356-020-08955-2. Epub 2020 May 5.
This paper investigates the elasticity of substitution between four inputs-capital, labor, energy, and material-with the translog cost approach for a wide range of industries in Germany by incorporating the slow adjustment process in factor substitution. To this end, we take advantage of EU KLEMS database covering a wide range of industries and consider two models. The first is the static model, in which instantaneous and complete substitution adjustments are assumed. The other model, referred to as dynamic, takes into account the slow adjustment process and applies this to the cost share equations which are estimated using Zellner's seemingly unrelated regression. The empirical results suggest that (i) the dynamic models have greater explanatory power than the static models; (ii) the production process at the national or industry level in Germany is mainly characterized by a complementarity or weak substitutability between energy and other inputs, which limits German government's ability to reduce energy use through factor substitution; (iii) among four factor prices, energy demand seems to be more sensitive to changes in the price of material, followed by labor. Hence, an increase in energy prices can be efficient to some extent in order to reduce energy use; (iv) there is a substantial industry heterogeneity in Germany in terms of both input substitution and its adjustment process. Therefore, strategies to mitigate CO emissions through input substitution channel should be designed at the industry level based on the industry-specific needs and peculiarities. It is because well-designed comprehensive policies that consider different structures of industries could help to achieve a carbon-neutral economy for Germany.
本文采用超越对数成本函数方法,考虑到要素替代的缓慢调整过程,考察了德国广泛行业中四个投入要素(资本、劳动、能源和材料)之间的替代弹性。为此,我们利用涵盖广泛行业的欧盟 KLEMS 数据库,并考虑了两种模型。第一种是静态模型,假设瞬时和完全替代调整。另一种模型,称为动态模型,考虑到缓慢的调整过程,并将其应用于成本份额方程,这些方程是使用 Zellner 的似乎不相关回归进行估计的。实证结果表明:(i)动态模型比静态模型具有更强的解释力;(ii)德国国家或行业层面的生产过程主要表现为能源和其他投入之间的互补性或弱替代性,这限制了德国政府通过要素替代减少能源使用的能力;(iii)在四个要素价格中,能源需求似乎对材料价格的变化更为敏感,其次是劳动。因此,在一定程度上提高能源价格可以有效地减少能源使用;(iv)德国在投入替代及其调整过程方面存在很大的行业异质性。因此,应该根据特定行业的需求和特点,在行业层面设计通过投入替代渠道来减少 CO2 排放的战略。因为考虑到不同行业结构的精心设计的综合政策可以帮助德国实现碳中和经济。