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Comparing the relationship among CO_2 emissions, energy consumption and economic growth in high and low income countries: Panel Granger causality and cointegration testing

机译:比较高低低收入国家的CO_2排放,能源消耗和经济增长的关系:小组格兰杰因果关系和协整测试

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Energy is an important element used in the production industry, and it is crucial for the development of a country. However, higher consumption of energy could lead to higher carbon dioxide emissions. Previous studies had shown that these variables are highly correlated. However, results may vary across economies. In this study, we seek to study the relationships between these three variables by comparing countries in different groups, i.e. high-income countries versus low-income countries. The study's main objectives include (1) to examine the short-run relationship (one-way or two-way) on pairs of variables using panel Granger causality test; (2) to reveal the long-run cointegration relationship based on three different models using panel unit root and cointegration tests. These tests are based on statistical hypotheses testing. Our panel data consists of 30 countries throughout the time period of 1971-2013. The result of the panel unit root tests show that each variable is integrated of order one, I(1) for both groups of countries, while the Granger causality test reveals some evidence on the short-run relationships between the variables in both groups of countries. Moreover, the panel cointegration tests detect a long-run relationship, which is stronger in low-income countries. This study provides a deeper understanding of the interactions of these three variables and suggest the implementation of appropriate actions and policy to achieve a balance between environmental quality and growth in the sustainable development of a country.
机译:能源是生产行业中使用的重要因素,这对一个国家的发展至关重要。然而,能量的耗材较高可能导致较高的二氧化碳排放。以前的研究表明,这些变量高度相关。但是,经济体可能会有所不同。在这项研究中,我们寻求通过比较不同群体的国家,即高收入国家与低收入国家之间研究这三个变量之间的关系。该研究的主要目标包括(1)使用Panel Granger因果试验检查变量成对的短路关系(单向或双向); (2)基于三种不同模型的三种不同模型的长期协整关系,使用面板单位根和协整测试。这些测试基于统计假设测试。我们的小组数据在1971 - 2013年的时间内由30个国家组成。面板单元根测试的结果表明,每个变量都是一体的一组,i(1)为两组国家,而Granger因果关系测试揭示了关于两组群体中变量之间的短期关系的一些证据。此外,面板协整试验检测长期关系,在低收入国家更强。本研究提供了对这三个变量的相互作用的更深入了解,并建议实施适当的行动和政策,以实现环境质量与国家可持续发展的增长之间的平衡。

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