Driving factors of CO_(2)emissions in South American countries:An application of Seemingly Unrelated Regression model  

作　　者：Gadir BAYRAMLI Turan KARIMLI 

机构地区：[1]Azerbaijan State Economic University,University of Economic,Baku,AZ1007,Azerbaijan [2]Istanbul University,Department of Economics,Istanbul,34126,Turkey [3]Karabakh University,Khankendi,AZ2600,Azerbaijan

出　　处：《Regional Sustainability》2024年第4期120-132,共13页区域可持续发展（英文）

摘　　要：Carbon emissions have become a critical concern in the global effort to combat climate change,with each country or region contributing differently based on its economic structures,energy sources,and industrial activities.The factors influencing carbon emissions vary across countries and sectors.This study examined the factors influencing CO_(2)emissions in the 7 South American countries including Argentina,Brazil,Chile,Colombia,Ecuador,Peru,and Venezuela.We used the Seemingly Unrelated Regression(SUR)model to analyse the relationship of CO_(2)emissions with gross domestic product(GDP),renewable energy use,urbanization,industrialization,international tourism,agricultural productivity,and forest area based on data from 2000 to 2022.According to the SUR model,we found that GDP and industrialization had a moderate positive effect on CO_(2)emissions,whereas renewable energy use had a moderate negative effect on CO_(2)emissions.International tourism generally had a positive impact on CO_(2)emissions,while forest area tended to decrease CO_(2)emissions.Different variables had different effects on CO_(2)emissions in the 7 South American countries.In Argentina and Venezuela,GDP,international tourism,and agricultural productivity significantly affected CO_(2)emissions.In Colombia,GDP and international tourism had a negative impact on CO_(2)emissions.In Brazil,CO_(2)emissions were primarily driven by GDP,while in Chile,Ecuador,and Peru,international tourism had a negative effect on CO_(2)emissions.Overall,this study highlights the importance of country-specific strategies for reducing CO_(2)emissions and emphasizes the varying roles of these driving factors in shaping environmental quality in the 7 South American countries.

关 键 词：CO_(2)emissions Urbanization INDUSTRIALIZATION International tourism Agricultural productivity Seemingly Unrelated Regression(SUR)model South American countries 

分 类 号：X51[环境科学与工程—环境工程]