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Remittances inflow plays a significant role in promoting the economic welfare of a country; it has a multidimensional effect on the economy and links with the carbon emissions. This study examines the possible asymmetric transmissions from remittances to carbon dioxide emissions (CO2) in China using time series data from 1980 to 2014. The Non-linear NARDL method is employed to check the longrun asymmetric relationship between remittances inflow and carbon emissions. The findings show that a positive shock in remittances causes an increase in CO2 emissions, while a negative shock in remittances causes a decrease in CO2 emissions. The results support the existence of an asymmetric cointegrating relationship between remittances and CO2 emissions in both short run and the long run. The NARDL dynamic multiplier graph assumes that positive remittances shocks are highe compared to the negative remittances shocks. It suggests that policymakers in China should consider remittances as a policy instrument especially designing strategies and policies related to sustainable environmental quality in the long run.

This paper offers a unique perspective in the field of environmental economics and research by linking CO 2 emissions (CO 2 e) and monetary policies. Through a newlydeveloped predictive model, the study estimated the impact of monetary policies on CO 2 e along with control variables, including income, remittances, urbanization, fossil fuels, and human capital in selected Asian economies for the period 1990-2014. Data were analyzed using the Pedroni and Kao co-integration tests, panel fully-modified (PFM-LS), and panel dynamic least squares (PD-LS) techniques for data analysis. Some of the main findings are as follows. First, the results showed a significant long-term positive relationship between expansionary monetary policy and CO 2 e. Second, the contractionary monetary policy serves an effective measure to mitigate CO 2 e. Third, improvements in human capital have a positive impact on reducing CO 2 e. Fourth, remittances and fossil fuels are also prime determinants of CO 2 e. Based on the present findings, the paper proposes important implications and a predictive tool for policymakers to design effective policies and strategies for reducing CO 2 e.

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