The aim of this study was to estimate the effects of environmental quality and other determinants on international tourism demand. Within the scope of the 2008–2017 period, the tourism demand from 27 different countries to the top 10 countries that attract the most tourists in the world was examined using the multidimensional panel gravity model. The effects of environmental, economic, and non-economic indicators on tourism demand were investigated using the Poisson pseudo-maximum likelihood (PPML) estimation methods. The findings showed that the low environmental quality significantly reduces tourism demand. In addition, while tourist income, common language, and a common border positively affected tourism demand, distance, relative price, and visa restrictions negatively affected.