Jia, Z., 2020. Modeling and analyzing the dynamic factors of economic growth evolution in coastal tourism cities. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1079–1083. Coconut Creek (Florida), ISSN 0749-0208.

As an important part of tourism economy, inbound tourism economy has an important impact on the development of regional economy. In order to improve the economic growth rate of coastal tourism cities, a modeling analysis method of dynamic factors of economic growth evolution of coastal tourism cities is proposed. On the basis of the regional economic theory, combined with the spatial analysis tools such as Geo Da and Arc GIS, through the analysis of the temporal evolution and spatial pattern evolution of inbound tourism foreign exchange income in coastal city clusters, furthermore, this paper uses the geographical weighted model (GWR) to analyze the factors that affect the foreign exchange income of inbound tourism of coastal city groups, and obtains the influencing coefficient. In view of the current situation and influencing factors of foreign exchange income of inbound tourism in coastal city groups, the corresponding countermeasures are put forward for the balanced and sustainable development of inbound tourism in coastal city groups. The comparative experimental results show that the proposed method of dynamic factor modeling and analysis for economic growth evolution of coastal tourism cities is more efficient and effective than the traditional method of dynamic factor modeling and analysis for economic growth evolution of coastal tourism cities.