Study on the Spatial Differences and Influencing Factors of Regional Tourism Development

Taking 21 Cities in Guangdong Province as Examples

DOI

10.2991/aebmr.k.201111.050How to use a DOI?

Keywords

tourism development, spatial differences, influencing factors

Abstract

Moran’s I in the spatial autocorrelation analysis method is used, and Geoda software is applied to sequentially analyze the spatial distribution of per capita international tourism foreign exchange income (USD) in 21 cities in Guangdong Province in 2018. The global autocorrelation test and the local autocorrelation test are used to explore its spatial correlation and spatial heterogeneity. It is concluded that there is a significant spatial autocorrelation of foreign exchange income per capita of international tourism in various cities in Guangdong Province in 2018. Subsequently, a spatial regression model is used to calculate the influencing factors of the spatial differences in tourism development of 21 cities in Guangdong Province in 2018, and it is concluded that the three factors of GDP, total imports of foreign-invested enterprises, and total exports of foreign-invested enterprises to foreign exchange income per capita in international tourism have a positive impact.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gang Deng
PY  - 2020
DA  - 2020/11/13
TI  - Study on the Spatial Differences and Influencing Factors of Regional Tourism Development
BT  - Proceedings of the 2020 International Conference on Management, Economy and Law (ICMEL 2020)
PB  - Atlantis Press
SP  - 298
EP  - 302
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201111.050
DO  - 10.2991/aebmr.k.201111.050
ID  - Deng2020
ER  -