NEXUS BETWEEN INSTITUTIONAL QUALITY, EMPLOYMENT, TRADE OPENNESS & CO2 EMISSIONS: A PANEL ARDL ANALYSIS

Ahtasham Ahmad, Waqas Ali, Asad ur Rehman
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Abstract

This study employs a panel autoregressive distributed lag (ARDL) approach to investigate the relationships between employment, institutional quality, trade openness, and carbon dioxide (CO2) emissions. The analysis focuses on period from 2002 to 2021, encompassing top ten CO2-emitting countries: the United States, China, India, Japan, Russia, Iran, Germany, Saudi Arabia, South Korea, and Indonesia. Study explores how institutional frameworks, in conjunction with economic factors impact environmental outcome. Research emphasizes the potential of strong institutional quality to stimulate the trade, economic growth, and improvements in quality of life. Models developed in study predict an increase in CO2 emissions linked with higher institutional quality, economic development, energy consumption, industrialization, and trade openness. The findings highlight a significant correlation between the variables of institutional quality (IQ), employment (EMP), & trade openness (IMP) and CO2 levels over the long term. By employing a comprehensive panel ARDL approach, this study provides valuable insights into intricate relationships between institutional quality, employment, trade openness, & CO2 emissions.
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制度质量、就业、贸易开放和二氧化碳排放之间的关系:一个小组分析
本研究采用面板自回归分布滞后(ARDL)方法探讨就业、制度质量、贸易开放与二氧化碳排放之间的关系。该分析侧重于2002年至2021年期间,涵盖了十大二氧化碳排放国:美国、中国、印度、日本、俄罗斯、伊朗、德国、沙特阿拉伯、韩国和印度尼西亚。研究探讨了制度框架如何与经济因素一起影响环境结果。研究强调了强大的制度质量在刺激贸易、经济增长和改善生活质量方面的潜力。研究中建立的模型预测,二氧化碳排放量的增加与更高的制度质量、经济发展、能源消耗、工业化和贸易开放有关。研究结果强调了制度质量(IQ)、就业(EMP)和贸易开放(IMP)等变量与长期二氧化碳水平之间的显著相关性。通过采用综合面板ARDL方法,本研究对制度质量、就业、贸易开放和二氧化碳排放之间的复杂关系提供了有价值的见解。
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