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The main motivation behind this study is the importance of the tourism sector and digitalization in the economic development of a country and their potential effects on the country's environmental quality. For empirical analysis, the study applies FMOLS, DOLS, and quantile regression techniques for Asian economies. The ndings of the study con rmed that tourism and digitalization improve environmental quality in FMOLS and DOLS models. In the basic quantile regression model, the estimates attached to tourism arrival are positive 5 th quantile to 40 th quantile and then turn negative from 60 th quantile and onwards. Likewise, the estimates attached to tourism receipts in the robust quantile regression model are positive from quantile 5 th to quantile 20 and negative and increasing from quantile 30 and onwards. Conversely, the estimates of digital infrastructure are insigni cant in the basic quantile model at all quantiles except 95 th . However, the estimated coe cients of digital infrastructure in the robust model are negative and rising from 40 th quantile to 70 th quantile and negative and declining from 80 th quantile to 95 th quantile. In general, we can say that as the tourism and digital sectors grow, the CO2 emissions decline.

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