Year: 2025
Type: article
Abstract: Leveraging 2006–2022 time-series data, this research constructs an Eviews-based multiple regression model to examine determinants of tourism economic development in Nanjing, China. Methodologically rigorous model specification tests and econometric refinements confirm domestic tourist arrivals (β=0.82, p<0.01) and urban disposable income (β=0.67, p<0.05) as significant drivers of tourism revenue growth. These findings suggest policymakers should prioritize domestic market expansion and income enhancement initiatives to maximize Nanjing's tourism potential.
DOI: 10.54097/yhvft772
Author: Tianle Wang
Institution: Nanjing University of Science and Technology
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4415139429
FWCI:
Cites:
Cited by:
Related to:
