Yonglian Wang
Biographic Data
| ID | 3914716 |
|---|---|
| NAME | Yonglian Wang |
| GIVEN NAMES | Yonglian |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Jilin University of Finance and Economics |
| ORCID | 0000-0002-1639-1814 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
How does network infrastructure construction affect household tourism expenditures? An empirical analysis from rural China
The impact of tourist source region’s network infrastructure in developing countries on household tourism expenditures remains inadequately understood. This study helps fill that gap by using the “Broadband China” strategy as a quasi-natural experiment, exploring the mechanisms by which the construction of network infrastructure impacts rural household tourism expenditures in China. Using the China Family Panel Studies (CFPS) data from 2014 throu…
Greening Tourism: How Environmental Regulation Policies Shape Urban Tourism Development in China
The increasing importance of ambient air quality in tourism has brought urban tourism development’s effective promotion at the policy level into sharp focus. This paper leverages panel data from 276 Chinese cities at or above the prefectural level, spanning from 2007 to 2022 By considering the Ambient Air Quality Standards as a quasi-natural experiment, the study applies a difference-in-difference method to empirically assess the impact of this p…
Exploring the influence of economic policy uncertainty on the relationship between tourism and economic growth with an MF-VAR model
Using a mixed-frequency vector autoregressive (MF-VAR) model, this article attempts to determine whether or not the relationship between tourism and economic growth changes in the presence or absence of economic policy uncertainty (EPU) shock. Moreover, we further our analysis by focusing on whether or not there is a significant difference in the distinct impact intensity of Hong Kong, Chinese, and global EPU. The study period spans April 1998 to…
A Study On The Influencing Factors Of Tourism Demand From Mainland China To Hong Kong
Tourism research increasingly uses search query data to forecast demand, but the literature rarely explores the mechanisms of the factors influencing demand. A time-varying parameter factor vector auto-regression model is constructed based on Baidu Index on six aspects (dining, shopping, transportation, tours, attractions, and lodging) of tourism demand from January 2011 to March 2019. The model can quantitatively and comprehensively analyze the …
The Robust Causal Relationships Among Domestic Tourism Demand, Carbon Emissions, and Economic Growth in China
Green and low-carbon development has become a compelling trend of our time. To formulate policies for development and also reduction of carbon emissions, quantifying the trend of tourism in green sustainable development is an essential issue for China, which is undergoing an economic transformation. This study first measured China's domestic tourism carbon emissions through a bottom-up approach and then used the robust Granger causality test on a…
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Exploring the influence of economic policy uncertainty on the relationship between tourism and economic growth with an MF-VAR model
Using a mixed-frequency vector autoregressive (MF-VAR) model, this article attempts to determine whether or not the relationship between tourism and economic growth changes in the presence or absence of economic policy uncertainty (EPU) shock. Moreover, we further our analysis by focusing on whether or not there is a significant difference in the distinct impact intensity of Hong Kong, Chinese, and global EPU. The study period spans April 1998 to…
A Study On The Influencing Factors Of Tourism Demand From Mainland China To Hong Kong
Tourism research increasingly uses search query data to forecast demand, but the literature rarely explores the mechanisms of the factors influencing demand. A time-varying parameter factor vector auto-regression model is constructed based on Baidu Index on six aspects (dining, shopping, transportation, tours, attractions, and lodging) of tourism demand from January 2011 to March 2019. The model can quantitatively and comprehensively analyze the …
The Robust Causal Relationships Among Domestic Tourism Demand, Carbon Emissions, and Economic Growth in China
Green and low-carbon development has become a compelling trend of our time. To formulate policies for development and also reduction of carbon emissions, quantifying the trend of tourism in green sustainable development is an essential issue for China, which is undergoing an economic transformation. This study first measured China's domestic tourism carbon emissions through a bottom-up approach and then used the robust Granger causality test on a…
How does network infrastructure construction affect household tourism expenditures? An empirical analysis from rural China
The impact of tourist source region’s network infrastructure in developing countries on household tourism expenditures remains inadequately understood. This study helps fill that gap by using the “Broadband China” strategy as a quasi-natural experiment, exploring the mechanisms by which the construction of network infrastructure impacts rural household tourism expenditures in China. Using the China Family Panel Studies (CFPS) data from 2014 throu…
Greening Tourism: How Environmental Regulation Policies Shape Urban Tourism Development in China
The increasing importance of ambient air quality in tourism has brought urban tourism development’s effective promotion at the policy level into sharp focus. This paper leverages panel data from 276 Chinese cities at or above the prefectural level, spanning from 2007 to 2022 By considering the Ambient Air Quality Standards as a quasi-natural experiment, the study applies a difference-in-difference method to empirically assess the impact of this p…
Economics (5 works) · Tourism (5 works) · Business (4 works) · China (4 works) · Diverse Aspects of Tourism Research (4 works) · Geography (4 works) · Energy, Environment, Economic Growth (3 works) · Political science (3 works) · Tourism geography (3 works) · Econometrics (2 works)