Effects of corruption, technological innovation, globalisation, and renewable energy on carbon emissions in Asian countries

This study attempts to identify the role of corruption along with technological innovation, globalisation, renewable energy, and economic growth on CO2 emissions in Asian countries using the panel data for 1960–2020. Driscoll and Kraay's standard error technique and Panel Corrected Standard Error (PCSE) model have been applied for empirical estimation where the findings disclose that corruption, technological innovation, globalisation, and GDP increase, whereas the renewable energy and square of GDP reduce the CO2 emissions in the study areas. The causal associations between the studied variables under pairwise Granger causality are also exposed.