Bitte beachten Sie: Im Zeitraum vom 21.12.2024 bis zum 07.01.2025 werden auf hohPublica keine Anfragen oder Publikationen durch das KIM bearbeitet. Please note: KIM will not process any requests or publications on hohPublica between December 21, 2024 and January 7, 2025.
 

A new version of this entry is available:

Loading...
Thumbnail Image
Article
2022

Effects of inbound tourism on the ecological footprint. An application of an innovative dynamic panel threshold model

Abstract (English)

This study uses a new and innovative dynamic panel threshold technique to examine the relationship between inbound tourism and ecological footprint (EF). This method was applied to the 10 most popular destinations spanning 1995–2021. These findings demonstrate that inbound tourism and EF have a threshold effect. To be specific, we find that only a certain threshold of tourism is beneficial to the environment; beyond that point, increasing tourism is likely to cause EF. Additionally, economic growth, infrastructure investment, and energy all benefited the EF. But water availability negatively affects EF. The findings of this study may have important policy implications for policymakers.

File is subject to an embargo until

This is a correction to:

A correction to this entry is available:

This is a new version of:

Notes

Publication license

Publication series

Published in

Frontiers in environmental science, 10 (2022), 910999. https://doi.org/10.3389/fenvs.2022.910999. ISSN: 2296-665X
Faculty
Institute

Examination date

Supervisor

Edition / version

Citation

DOI

ISSN

ISBN

Language
English

Publisher

Publisher place

Classification (DDC)
330 Economics

Original object

Standardized keywords (GND)

Sustainable Development Goals

BibTeX

@article{Li2022, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16785}, doi = {10.3389/fenvs.2022.910999}, author = {Li, Xiaojuan and Meo, Muhammad Saeed and Aziz, Noshaba et al.}, title = {Effects of Inbound Tourism on the Ecological Footprint. An Application of an Innovative Dynamic Panel Threshold Model}, journal = {Frontiers in environmental science}, year = {2022}, volume = {10}, }
Share this publication