This　study　scrutinised　the　influence　of　air　pollution　on　the　USA＇s　tourism　industry　along　with　macroeconomic　variables　from　1990　to　2020.　The　analyses　were　conducted　using　a　novel　quantile　autoregressive　distributed　lagged　(QARDL)　technique　to　examine　the　nonlinear　association　in　the　long　and　short　run.　Additionally,　the　constancy　of　the　parameters　under　the　short-　and　long-run　estimations　was　investigated　using　the　Wald　test.　The　QARDL　results　under　different　quantiles　confirmed　that　air　pollution　in　terms　of　carbon　dioxide　(CO2)　emissions　and　particulate　matter　(PM2.5)　had　a　negative　association　with　the　arrival　of　international　tourists　in　the　USA.　However,　the　long-run　estimation　for　the　nonlinear　association　between　gross　domestic　product　(GDP)　and　tourists＇　arrival　(TA)　and　between　the　real　effective　exchange　rate　(REER)　and　TA　was　positively　significant　under　different　quantiles.　Alternatively,　the　estimation　of　the　short　run　corroborated　that　the　past　and　lagged　values　of　TA　showed　a　positive　correlation　with　the　current　and　lagged　values　of　international　TA.　Moreover,　the　findings　of　the　study　confirmed,　through　Granger　causality,　the　bidirectional　causality　between　tourism,　GDP,　haze　pollution　such　as　PM2.5　and　CO2　emissions　and　REER　in　the　USA.