自然资源经济学
自然资源
质量(理念)
自然(考古学)
环境质量
环境科学
业务
环境规划
经济
生态学
地理
认识论
考古
哲学
生物
作者
Dong Meng,Nadeem Iqbal,Shaodong Zhao
标识
DOI:10.1016/j.resourpol.2022.102948
摘要
Natural resources influence ecosystem elements that lead to environmental degradation. The introduction of the Sustainable Development Goal (SGD) has focused attention on environmental issues. As a result, this study aims to determine whether or not natural resources have a significant role in influencing ecological protection and emissions of glasshouse gases. Using a cross-sectional autoregressive distributed lags model, this study aims to determine the impact of economic recovery, natural resources, and renewable and non-renewable energy use on carbon dioxide emissions in ten European countries (Austria, France, Hungary, Ireland, Iceland, UK, Germany, Finland, Italy, Spain and Switzerland) from 2000 to 2020. These countries were selected because of their high GDPs in Europe (CS-ARDL). All countries' long-term elasticities were estimated. According to the study, using non-renewable and renewable energy leads to economic recovery in these nations. Even though natural resources constrain economic growth in countries, they also drive economic activity in such countries. Economic recovery and non-renewable energy sources increase carbon emissions, but renewable energy lowers emissions. Carbon dioxide (CO 2 ) emissions from natural resources were also factors in each panel. These locations might benefit from policies that encourage renewable energy to minimize CO 2 emissions and enhance educational systems to increase economic development. • Natural resources influence ecosystem elements that lead to environmental degradation. • The introduction of the Sustainable Development Goal (SGD) has focused attention on environmental issues. • This study aims to determine whether or not natural resources have a significant role in influencing ecological protection and emissions of glasshouse gases. • Using a cross-sectional autoregressive distributed lags model, this study aims to determine the impact of economic recovery, natural resources, and renewable and non-renewable energy use on carbon dioxide emissions in ten European countries) from 2000 to 2020. • These countries were selected because of their high GDPs in Europe (CS-ARDL). All countries' long-term elasticities were estimated. • According to the study, using non-renewable and renewable energy leads to economic recovery in these nations. • Carbon dioxide (CO 2 ) emissions from natural resources were also factors in each panel. • These locations might benefit from policies that encourage renewable energy to minimize CO 2 emissions and enhance educational systems to increase economic development.
科研通智能强力驱动
Strongly Powered by AbleSci AI