二氧化碳、GDP与开放度:欧元区的矢量误差修正模型方法

Sarah Goldman, N. Nenovsky, Shouyi Zhang
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引用次数: 0

摘要

自2015年《巴黎协定》签署以来,很明显,各国迟早将被迫将其二氧化碳排放与国际标准保持一致。本文运用实证方法研究了以CO2排放衡量的转型风险及其与经济增长和对外开放的因果关系。考虑到数据的可用性,数据库是基于年频率的。从2008年开始到2019年结束。该样本考虑了10个欧元区国家。我们通过使用矢量误差修正模型(VECM)运行计量经济动态规范。这些模型非常灵活,提供了关于二氧化碳排放量、国内生产总值(GDP)和开放程度之间的短期和长期动态关系的有趣信息。脉冲函数给出了由二氧化碳排放产生的变量影响的有趣结果,方差分解揭示了由每个因果变量随时间的冲击决定的预测误差方差的大小。主要结果表明,CO2排放量与开放程度呈负相关,人均GDP与CO2排放量呈负相关。这一结论对考察经济增长因素和二氧化碳排放所衡量的转型风险具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CO2, GDP and Openness: A Vector Error Correction Model Approach for the Eurozone
Since the 2015 Paris Agreement, it is obvious that sooner or later the countries will be compelled to align their carbon dioxide (CO2) emissions to the international standards. This paper investigates the transition risk measured by the CO2 emissions and its causal relationships with economic growth and openness thanks to an empirical approach. Given the data availability, the database is based on an annual frequency. It starts in 2008 to end in 2019. The sample takes into account 10 Eurozone countries. We run econometric dynamic specifications by using a vector error correction model (VECM). These models are very flexible and provide interesting information on the short term and the longterm dynamic relationships between the CO2 emissions, the Gross Domestic Product (GDP) and the openness. The impulse function gives interesting results on the variable’s impacts generated by the CO2 emissions and the variance decomposition sheds light on the magnitude of the forecast error variance determined by the shocks to each of the causal variables over time. The main results show negative relationships between the CO2 emissions and the openness and between GDP per capita and CO2 emissions. This conclusion may be useful to review the economic growth factors and the transition risk measured by the CO2 emissions.
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