Research Department, Central Bank of Nigeria, Abuja, Nigeria.
College of Science and Humanities in Slayel, Prince Sattam bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia.
Environ Sci Pollut Res Int. 2020 Dec;27(35):44623-44628. doi: 10.1007/s11356-020-11145-9. Epub 2020 Oct 10.
To substantiate the validity and usefulness of the symbolic transfer entropy test for longitudinal data, and how it validate or contrast existing study results generated using other forms of causality tests, we empirically examine panel-based causality relationships among foreign direct investment, energy consumption, globalization, and economic growth respectively, between the periods 1970 and 2014 using sub-Saharan African countries as a case study. Based on our findings, we are of the opinion that STE causality test results resonate existing findings, and it is a suitable causality approach for longitudinal data and for developing countries with poor-quality data, most specifically for the sample region.
为了证实符号转移熵检验对纵向数据的有效性和实用性,以及它如何验证或对比使用其他因果关系检验形式生成的现有研究结果,我们以撒哈拉以南非洲国家为例,实证检验了 1970 年至 2014 年间外国直接投资、能源消费、全球化和经济增长之间的面板因果关系。根据我们的发现,我们认为 STE 因果关系检验结果与现有发现一致,它是一种适用于纵向数据和数据质量较差的发展中国家的因果关系方法,特别是对于样本区域。