Workers or Consumers: Who Pays for Low-Carbon Transition – Theoretical Analysis of Welfare Change in General Equilibrium Setting

IF 0.5 Q4 ECONOMICS
Jan Witajewski-Baltvilks, Jakub Boratyński
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引用次数: 0

Abstract

Abstract Policies that are introduced to mitigate adverse consequences of climate change involve economic costs. For some households, these costs will materialise in the form of an increase in prices of consumption goods, whereas for others they will materialise in the form of falling productivity and wages. Disentangling these two effects is important in the light of the design of funds that aim to support the households that are negatively affected by climate policy. In this article, we study the effect of carbon tax on welfare through changes of consumer prices and wages in a general equilibrium setting. In the first step, we review the literature on ‘top-down’ models, which are used to evaluate the macroeconomic cost of climate policy. We find that these models usually do not account for loss of productivity of workers who must change their sector due to climate policy. In the second step, we develop a theoretical, micro-founded, two-sector model that explicitly accounts for the loss of productivity of workers. The compensation of climate-change mitigation costs would require allocation of separate funds for the affected consumers and workers.
工人还是消费者:谁为低碳转型买单——一般均衡环境下福利变化的理论分析
为减轻气候变化的不利后果而引入的政策涉及经济成本。对一些家庭来说,这些成本将以消费品价格上涨的形式体现出来,而对另一些家庭来说,它们将以生产率和工资下降的形式体现出来。考虑到旨在支持受气候政策负面影响的家庭的基金设计,将这两种影响分开是很重要的。在一般均衡环境下,我们通过消费者价格和工资的变化来研究碳税对福利的影响。第一步,我们回顾了关于“自上而下”模型的文献,该模型用于评估气候政策的宏观经济成本。我们发现,这些模型通常没有考虑到由于气候政策而不得不改变行业的工人的生产力损失。在第二步中,我们开发了一个理论的、微观的、两部门的模型,明确地解释了工人生产力的损失。补偿减缓气候变化的成本需要为受影响的消费者和工人分别分配资金。
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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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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