Relationship between China's Tourism Development and Economic Growth Based on Genetic Algorithm

Abstract

Research has proved that tourism industry has the characteristics of high industrial relevance, good economic benefits and wide employment range, and its rapid development directly or indirectly promotes the increase of residents' income and government tax revenue. Based on the analysis of 31 provinces and cities in Chinese mainland, this paper analyzes the spatial distribution characteristics and temporal spatial evolution of domestic and inbound tourism development by using genetic algorithm and spatial autocorrelation theory. On this basis, the classic econometric model and spatial econometric model of 2011-2019 panel data are used to explore the relationship between tourism development and economic growth. The results show that: in the sample period, economic growth, domestic and inbound tourism development have spatial agglomeration, and the spatial distribution pattern has little change. The spatial econometric model with geographical weight is more suitable to study the relationship between tourism development and economic growth. The development of domestic and inbound tourism promotes economic growth, and has a significant spatial spillover effect on economic growth. Compared with inbound tourism, the contribution of domestic tourism to economic growth is more prominent. Ignoring the impact of spatial correlation and other indicators on economic growth will exaggerate the role of domestic and inbound tourism development on economic growth, which is conducive to the coordinated development of China's tourism and economic growth.