Literature DB >> 32840747

Non-linear relationship between tourism, economic growth, urbanization, and environmental degradation: evidence from smooth transition models.

Syed Ali Raza1, Muhammad Asif Qureshi2, Maiyra Ahmed3, Shahzad Qaiser4, Ramsha Ali5, Farhan Ahmed6.   

Abstract

The study aims to analyze two objectives: first is to explore the non-linear relationship between tourism development, economic growth, urbanization, and environmental degradation, and also to analyze the threshold level of the contribution of tourism development on environmental degradation in top tourist arrival destinations. We applied the newly proposed econometric method panel smooth transition regression (PSTR) framework with two regimes on yearly panel data from 1995 to 2017. Findings suggest that the relationship between tourism development and environmental degradation is non-linear and regime dependent. Furthermore, the findings indicated that the relationship above the threshold level is negative and significant, while below the threshold, tourism development is positive and significant effect on environmental degradation. Tourism development and environmental degradation also exhibit the inverted U-shape relationship meaning that at a particular point, increase in tourism development increases in environmental degradation but after a particular point, increase in tourism development decreases the environmental degradation. The economic growth and urbanization also portray a non-linear and regime-dependent relationship with environmental degradation. The study assists policies and empirical information.

Keywords:  Environmental degradation; GDP; PSTR model; Population; Tourism development

Year:  2020        PMID: 32840747     DOI: 10.1007/s11356-020-10179-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Comprehensive partitions and optimisation strategies based on tourism urbanisation and resources environment carrying capacity in the Yellow River Basin, China.

Authors:  Zhaofeng Wang; Qingqing Chen
Journal:  Environ Sci Pollut Res Int       Date:  2021-11-20       Impact factor: 5.190

  1 in total

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