Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China
by
Long Li
, Jian Huang
, Xiaoliang Chen
, Tianyi Chen
, Hui Chen
in
China
/ Creative industries
/ cultural tourism; influencing factors; Guangdong–Hong Kong–Macao Greater Bay Area
/ Culture
/ Economic recovery
/ Economic statistics
/ Epidemics
/ Expenditures, Public
/ GDP
/ Global economy
/ Gross Domestic Product
/ Random variables
/ Regions
/ Sales promotions
/ Sustainability
/ Tourism
/ Travel industry
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China
by
Long Li
, Jian Huang
, Xiaoliang Chen
, Tianyi Chen
, Hui Chen
in
China
/ Creative industries
/ cultural tourism; influencing factors; Guangdong–Hong Kong–Macao Greater Bay Area
/ Culture
/ Economic recovery
/ Economic statistics
/ Epidemics
/ Expenditures, Public
/ GDP
/ Global economy
/ Gross Domestic Product
/ Random variables
/ Regions
/ Sales promotions
/ Sustainability
/ Tourism
/ Travel industry
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China
by
Long Li
, Jian Huang
, Xiaoliang Chen
, Tianyi Chen
, Hui Chen
in
China
/ Creative industries
/ cultural tourism; influencing factors; Guangdong–Hong Kong–Macao Greater Bay Area
/ Culture
/ Economic recovery
/ Economic statistics
/ Epidemics
/ Expenditures, Public
/ GDP
/ Global economy
/ Gross Domestic Product
/ Random variables
/ Regions
/ Sales promotions
/ Sustainability
/ Tourism
/ Travel industry
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China
Journal Article
Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Inverse globalization and the spread of epidemics have affected the world economy. Promoting the convergence and resilience of the tourism industry is an important means of boosting regional economic recovery and high-quality development. Taking the nine cities in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) as cases, this study measures the state of development in each city from 2010 to 2019, and it constructs a coupled coordinated model to evaluate the integration of culture and tourism development. The entropy method and the coupling-coordination-degree model are evaluated through this empirical analysis. The results demonstrate that most cities in the GBA show an upward trend in the development and integration of the tourism industry. The development and integration of the tourism industry in Guangzhou and Shenzhen has always been in a leading position. The main factors that affect the level of tourism-industry convergence in the GBA cities include the level of economic development, the scale of government spending, the level of urbanization, and the level of technological innovation.
Publisher
MDPI AG
This website uses cookies to ensure you get the best experience on our website.