The Impacts of China’s Resident Tourism Subsidy Policy on the Economy and Air Pollution Emissions

Leyi Zheng, Junfeng Liu (), Qiong Yang, Yuqing Wang, Ying Liu, Xiurong Hu, Jianying Hu, Yi Wan, Xuejun Wang, Jianmin Ma, Xilong Wang and Shu Tao
Additional contact information
Leyi Zheng: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Junfeng Liu: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Qiong Yang: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Yuqing Wang: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Ying Liu: School of Statistics, University of International Business and Economics, Beijing 100029, China
Xiurong Hu: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Jianying Hu: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Yi Wan: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xuejun Wang: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Jianmin Ma: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xilong Wang: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Shu Tao: Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

Sustainability, 2023, vol. 15, issue 10, 1-16

Abstract: Currently, tourism is an important contributor to the Chinese economy. The Chinese government issued Several Opinions of the State Council on Promoting the Reform and Development of Tourism and Several Opinions of the General Office of the State Council on Further Promoting Tourism Investment and Consumption, which are aimed at promoting tourism development. In this study, we use a multiregional and multisectoral computable general equilibrium model (CGE model) to simulate the effects of different levels of resident tourism subsidy policies on the economy and environment in China. Our analysis shows that tourism subsidies are beneficial to economic growth and support the transition to a low-carbon society. In addition, resident tourism subsidy policy has a positive effect on the national emission reduction of CO 2 , CO, NO X , PM 2.5 , and SO 2 . At the regional level, more significant emission reduction potential is present in provinces with more energy consumption and a more developed heavy industry, such as Shandong, Guizhou, and Inner Mongolia. Therefore, this study indicates that resident tourism subsidies can be an effective policy suggestion to promote the transition to a green society and air pollutant emission reduction.

Keywords: CGE model; economic impact; environmental impact; tourism subsidy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/10/8351/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/10/8351/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:10:p:8351-:d:1152062

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().