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Bootstrap ARDL on Health Expenditure, CO2 Emissions, and GDP Growth Relationship for 18 OECD Countries

机译:对18个经合组织国家的健康支出,二氧化碳排放和GDP增长关系的举止培训ARDL

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摘要

Using annual time-series data over the period 1975–2017, the researcher applied the bootstrap autoregressive-distributed lag (ARDL) cointegration model developed by McNown et al. (1) to examine whether there is a long run relationship among health expenditure, CO2 emissions, and gross domestic product (GDP) per capita in 18 Organization for Economic Cooperation and Development (OECD) countries. We find cointegration exists in Netherlands when real GDP per capita serves as a dependent variable, in New Zealand when health expenditure is the dependent variable, and in the United States when CO2 emissions are dependent variables. The main results show evidence of a short run relationship between the three variables. The empirical results support that there is a bidirectional causality between health expenditure and GDP growth for Germany and the United States, between CO2 emissions and GDP growth for Canada, Germany, and the United States, and between health expenditure and CO2 emissions for New Zealand and Norway. The results also indicate that there are unidirectional causality in other countries.
机译:在1975 - 2017年期间使用年度时间序列数据,研究人员应用了McNown等人开发的引导自回归分布式滞后(ARDL)协整模型。 (1)审查18个经济合作与发展(经合组织)国家的医疗支出,二氧化碳排放量,二氧化碳排放量,二氧化碳排放量和国内生产总值(GDP)之间存在长期关系。当人均GDP人均在新西兰担任受抚养变量时,我们发现协整在新西兰当时的变量以及在美国的依赖变量时,在新西兰。主要结果显示了三个变量之间短期关系的证据。经验结果支持,德国和美国之间存在双向因果关系,在加拿大,德国和美国的二氧化碳排放和GDP增长之间以及新西兰的卫生支出和二氧化碳排放之间的二氧化碳排放和GDP增长挪威。结果还表明,其他国家有单向因果关系。

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