Spatiotemporal Characteristics of the Correlation among Tourism, CO 2 Emissions, and Economic Growth in China

Lingling Chen, Lin Yi, Rongrong Cai and Hui Yang
Additional contact information
Lingling Chen: Department of Tourism Management, Jinling Institute of Technology, Nanjing 210038, China
Lin Yi: College of Earth Sciences, Chengdu University of Technology, Chengdu 610051, China
Rongrong Cai: Department of Tourism Management, Jinling Institute of Technology, Nanjing 210038, China
Hui Yang: Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process of the Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China

Sustainability, 2022, vol. 14, issue 14, 1-31

Abstract: Elucidating the correlation among tourism, CO 2 emissions, and economic growth from a spatiotemporal standpoint is of utmost significance for the tourism industry responding to China’s “double-carbon” goal. This study expansively uses the bottom-up approach, Theil index, Exploratory Spatial Data Analysis (ESDA), and Logarithmic Mean Divisia Index (LMDI) method to calculate tourism CO 2 emissions (TE) at different spatial scales in China during 2000–2019, and based on the TE, we further analyze the spatial heterogeneity of the TE intensity (TEI) and examine the spatiotemporal effects of driving factors on TE increases. The results revealed that (i) China’s TE increased from 3714.06 × 10 4 t to 19,396.00 × 10 4 t, and the TEI declined from 47 to 9 g/yuan during 2000–2019. (ii) The high-TEI provinces varied from agglomerative distribution in the north by western region to scattered distribution in the eastern region. (iii) China’s TEI exhibited increasing spatial differences, primarily within regions during 2000–2009, which also distributed with both the global and local agglomeration in space before 2014, and since then, only the local agglomeration enhanced and characterized by diffusing low–low (L–L) agglomeration from the east to the central and west regions. (iv) The tourism industrial scale and the industrial economy exerted cumulative effects on TE increases, and the energy intensity and energy structure exerted reduction effects. The spatial structure played different roles on TE among the regions. Policy implications are also discussed depending on the study results.

Keywords: TE; TEI; spatiotemporal evolution; ESDA; China; scale (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/14/8373/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/14/8373/ (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:14:y:2022:i:14:p:8373-:d:858522

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 ().