Investigating the Dynamic Association Among CO₂ Emission, Energy Use, and Economic Growth: Evidence From China

Environmental pollution and climatic variations are due to CO 2 emissions considered an important global issue. The key aim of this study was investigate the dynamic association among emission, energy use, economic growth in China. Secondary data used ranging from 1971 2014, stationarity verified by applying Augmented Dickey-Fuller unit root test. autoregressive distributed lag (ARDL) bounds testing approach Granger causality test with vector error correction model check causal connection amid variables. Outcomes expose that gross domestic product has positive coefficients through long-run analysis p-values (.062), (.000), (.100), respectively, validate significant emission. Furthermore, outcomes short-run also uncover growth, have a emission Potential conservative policies needed Chinese government reduce resources resolve problem without impacting progress.