波兰气候政策的经济动态模型

IF 0.5 Q4 ECONOMICS
Olga Kiuila, Emilia Lewczuk
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引用次数: 0

摘要

波兰的二氧化碳排放量占欧盟总排放量的9%,是该地区第五大排放国。能源部门以煤炭发电为主(约占70%)。该国目前利用大量补贴来推动煤炭行业的发展。我们提出了一个动态跨期混合一般均衡模型,通过考虑能源部门与经济其他组成部分之间的一系列复杂联系,模拟环境税收情景下部门法规和新政策目标的经济影响。我们的模拟结果表明,在现实的能源结构下,积极的经济增长是可能的,但它不会像欧盟委员会所要求的那样提供可观的减排。在短期内,最好的选择是资本密集程度较低的技术(如生物质能)所表示的可再生能源。从长远来看,更多资本密集型技术(如风力涡轮机)将是经济增长的更好选择。碳税在最优能源结构目标中起着至关重要的作用,因为消除其他条件意味着经济负增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Dynamic Modelling of Climate Policy in Poland
Abstract Poland is responsible for 9% of CO2 emission in the European Union (EU), making it the fifth biggest emitter in the region. The energy sector is dominated by electricity produced from coal (around 70%). The country currently uses massive subsidies to boost the coal sector. We propose a dynamic intertemporal hybrid general equilibrium model to simulate the economic effects of sector regulations and new policy targets within environmental taxation scenarios, by accounting for a complex set of linkages between the energy sector and other components of the economy. Our simulation results suggest that positive economic growth is possible with a realistic energy mix, but it will not offer considerable emission reduction, as required by the European Commission. In the short-time horizon, the best choice is renewable energy sources indicated by less capital-intensive technologies (such as biomass). In the long-time horizon, more capital-intensive technologies (such as wind turbines) will be a better choice for economic growth. Carbon tax plays a crucial role in optimal energy mix targets, since its elimination ceteris paribus implies negative economic growth.
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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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