摘要
Economic growth has brought a global climate change into the spotlight,and CO_(2)emissions demonstrate significant challenges in reducing environmental shifts worldwide.Globally,the United States and China contribute the largest amount of CO_(2)emissions.The purpose of this study is to examine the relationship between different types of CO_(2)emissions and economic growth by using a modeling approach.We analyze total CO_(2)emissions,coal CO_(2)emissions,oil CO_(2)emissions,the global share of coal CO_(2)emissions,the global share of oil CO_(2)emissions,and economic growth.This study provides unique insights into how to simultaneously reduce CO_(2)emissions and sustain economic growth.A bootstrap autoregressive distributed lag(BARDL)simulation method is utilized to examine the long-and short-run effects of predictors on CO_(2)emissions.Coal CO_(2)emissions are found to have a significant positive effect on economic growth in the short run but a negative impact on economic growth over the long run in the United States.The United States needs to implement stronger measures to balance coal CO_(2)emissions with economic growth for sustainable development.In contrast,oil CO_(2)emissions have positive effect for China in both the long run and short run.Thus,China can continue to reduce CO_(2)emissions from oil while maintaining positive economic growth.The China’s policies promoting cleaner energy alternatives can be adapted and implemented to maintain a balance between economic growth and carbon reduction.The study has valuable insights for policymakers seeking to balance economic growth with carbon reduction strategies.It emphasizes the need to better understand the complex relationship between CO_(2)emissions and economic growth.
基金
financially supported by the National Natural Science Foundation of China(Grant No.42350410448).
