In　the　developing　economy,　tourism　is　the　most　visible　and　steadiest　growing　facade.　Tourism　is　considered　one　of　the　rapidly　increasing　elements　for　economic　development　from　the　last　two　decades.　Therefore,　the　proposed　study　used　vector　autoregression　(VAR)　model,　error　correction　model　(ECM),　and　the　Granger　causality　to　check　the　relationship　between　the　tourism　industry　and　economic　growth　based　on　the　data　of　the　Beijing　municipal　bureau　of　statistics　from　1994　to　2015.　Gross　domestic　product　(GDP)　is　used　as　a　replacement　variable　for　the　economic　growth　index,　while　internal　tourism　revenue　is　used　as　a　tourism　industry　indicator.　The　study　supports　the　tourism-led　growth　hypothesis　proposed　in　the　existing　literature　in　a　different　survey　of　tourism　and　economic　development.　The　results　show　that　there　is　a　strong　relationship　in　the　tourism　industry　and　economic　growth　in　the　context　of　Beijing,　and　at　the　same　time,　tourism　creates　a　more　significant　increase　in　long　run　local　real　economic　accomplishments.　The　results　of　the　VAR　model　confirm　that　in　the　long　run,　Beijing’s　economic　growth　is　affected　by　domestic　tourism,　while　the　ECM　model　shows　unidirectional　results　in　the　short　term.　Similarly,　there　is　a　one-way　causal　relationship　between　the　tourism　industry　and　economic　growth　in　Beijing,　China.　The　empirical　results　are　in　strong　support　of　the　concept　that　tourism　causes　growth.　©　2019　by　the　authors.