Research Article

Spatial Analysis on the Vulnerability of Tourism Economic System Based on BP Neural Network: The Guangdong-Hong Kong-Macao Greater Bay Area (GBA)

Table 1

Vulnerability evaluation indicator system of tourism economic system in the GBA.

Target layerCriteria layerCodeName and unit of indicatorIndicator natureIndicator significance

Evaluation index of tourism economic vulnerabilityV1Proportion of total tourism revenue in GDP (%)+Economic dependence on tourism industry
V2Proportion of inbound tourists in total tourists (%)+Attraction to inbound tourism
V3Proportion of inbound tourism revenue in total tourism revenue (%)+Dependence on inbound tourism
SensitivityV4GDP growth rate (%)Reflect the local economic development level
V5Consumer price index+The impact of rising prices on residents’ consumption
V6Urban registered unemployment rate (%)+Unemployment rate
V7Percentage of employees in tertiary industry (%)Employability formed by the development of tourism economy
J1Per capita GDP (RMB)+Macroeconomic basis of tourism economic development
J2Growth rate of tourism revenue (%)Tourism economic growth
J3Proportion of revenue of catering and lodging enterprises (%)Regional accommodation reception capacity
Response capabilityJ4Total retail sales of social consumer goods (RMB)Regional consumption reception capacity
J5Length of road transportation line (km)+Transportation reception capacity
J6Total investment in environmental pollution control (RMB)+Degree of environmental support for tourism development
J7Personnel of environmental protection institutions (person)+Ability to deal with the negative impact of tourism development