A step towards sustainable environment in China: The role of eco-innovation renewable energy and environmental taxes.

In the contemporary environment, developing countries are more focused on how economic factors can reasonably utilize technological advancement and carbon neutrality target as effective mechanisms in achieving sustainable production and consumption patterns. The effort to attain carbon neutrality target on natural environment in terms of lower carbon emission (CO2), haze pollution, and greenhouse gas (GHG) requires measures like the usage of non-renewable energy, ecological innovation, and environmental taxes. In doing so, this study considers the sustainability of China's natural environment in terms of CO2 emission, haze pollution through PM2.5, and greenhouse gas emission as well as factors like ecological innovation (ECO), environmental taxes (ERT), renewable energy, and globalization as the key determinants. The Quantile ARDL approach was used to examine both long- and short-run relationships between the explanatory and outcome variables. The results confirmed that there is a significant and negative impact of ECO, renewable energy, and ERT on CO2 emission in the region of China under different quantiles. Whereas, the globalization factor was observed as positively and significantly linked with CO2 emission but only for the higher quantiles. The long-run estimation further showed that ECO, renewable energy, and ERT can significantly help to decrease haze pollution in terms of PM2.5 in China. Furthermore, QARDL also confirms the negative and long-run estimation between the ECO, REN, and ERT, whereas globalization is causing more GHG in China, subsequently creating more environmental sustainability issues. Thus, it is concluded that effective innovation, renewable energy consumption, and environmental taxes reduce carbon emission while globalization increases the carbon emission in the country.

Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach.

Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO2, inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries. The probit regression results give a different outcome, as rescon, FID, CO2, Human Development Index (HDI), and investment in the energy sector by the private sector that will likely have an impact on the green financing and climate change mitigation of the study countries. Furthermore, after matching the analysis through the nearest neighbor matching, kernel matching, and radius matching, it produced mixed results for both the treated and the untreated countries. Either group experienced an improvement in green financing and climate change mitigation or a decrease. Overall, the DID showed no significant difference among the countries.