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Although the effects on environmental quality have not yet been extensively studied, some studies demonstrate that renewable energy, remittances, and technical innovation contribute to a country's socioeconomic development. In light of this, the current study utilizes annual data from 1990 to 2020 to evaluate the impact of renewable energy, remittances, and technical innovation on carbon dioxide (CO2) emissions in China. By using the autoregressive distributed lag (ARDL) bounds testing, the research was able to reveal persistent associations between CO2 and the regressors. Long- and short-run ARDL results also demonstrated that CO2 emissions rise alongside economic development, but the using renewable energy, remittances, and technical advancement help to lower emissions in China. The reliability of these results was determined using fully modified ordinary least squares (FMOLS), dynamic ordinary least square (DOLS), and canonical cointegrating regression (CCR). In light of these significant determining, several policy suggestions are proposed.
Raihan et al. (Tue,) studied this question.