Nathaniel Solomon Prince, Barua Suborna, Ahmed Zahoor
Department of Economics, University of Lagos, Akoka, Nigeria.
School of Foundation, Lagos State University, Badagry, Nigeria.
Environ Sci Pollut Res Int. 2021 Jul;28(28):38322-38331. doi: 10.1007/s11356-021-13389-5. Epub 2021 Mar 17.
The persistent dwindling of the biocapacity has caused the ecological footprint (EF) to keep increasing in the top ten tourist destinations over the last three decades. Moreso, economic growth, natural resource rent, and urbanization substantially increased for the same period. Tourism contributes to economic prosperity. However, growth in tourism promotes an increase in energy consumption, natural resource exploration, transportation, and consequential ecological distortions. It is important to understand the predictors of EF to suggest suitable policies for environmental sustainability. Hence, this study examines the predictors of EF by considering factors that could influence EF. More precisely, the study analyzes the linkage among economic growth, natural resource rent, urbanization, energy intensity, and tourism using some of the most advanced and reliable econometric techniques, such as Westerlund's (J Appl Econ 23(2):193-233, 2008) cointegration technique, and the continuously updated full modified (CUP-FM) and continuously updated bias-corrected (CUP-BC), long-run estimators. The outcomes of the analysis indicate that EF has a negative association with urbanization and natural resources, which implies that an abundance of natural resources and increasing urban population can help to reduce environmental degradation. Likewise, energy intensity helps in decreasing EF, while economic growth adds to EF. Tourist arrival and tourist receipt also add to EF and, therefore, negatively affect environmental quality. Finally, policy directions are discussed to reduce environmental degradation without reducing economic growth.
在过去三十年里,生物承载力持续下降,导致十大旅游目的地的生态足迹(EF)不断增加。此外,同期经济增长、自然资源租金和城市化水平大幅提高。旅游业有助于经济繁荣。然而,旅游业的发展促使能源消耗、自然资源开发、交通运输增加,进而导致生态失衡。了解生态足迹的预测因素对于提出环境可持续发展的适当政策很重要。因此,本研究通过考虑可能影响生态足迹的因素来考察生态足迹的预测因素。更确切地说,该研究使用一些最先进且可靠的计量经济学技术,如韦斯特伦德(2008年,《应用经济学杂志》第23卷第2期:193 - 233页)的协整技术以及不断更新的完全修正(CUP - FM)和不断更新的偏差校正(CUP - BC)长期估计量,来分析经济增长、自然资源租金、城市化、能源强度和旅游业之间的联系。分析结果表明,生态足迹与城市化和自然资源呈负相关,这意味着丰富的自然资源和不断增加的城市人口有助于减少环境退化。同样,能源强度有助于降低生态足迹,而经济增长则会增加生态足迹。游客到访量和旅游收入也会增加生态足迹,因此对环境质量产生负面影响。最后,讨论了在不降低经济增长的情况下减少环境退化的政策方向。