Nazneen Shama, Hong Xu, Ud Din Nizam, Jamil Barkat, Hussain Kramat
School of Community Resources and Development, Watts College of Public Service and Community Solutions, Arizona State University, Phoenix, AZ, 85004, USA.
College of Tourism and Service Management, Nankai University, Tianjin, China.
Environ Sci Pollut Res Int. 2023 Apr;30(18):53103-53114. doi: 10.1007/s11356-023-25892-y. Epub 2023 Feb 28.
In contemporary times of globalization, tourism and travel are among the fastest-growing economic sectors and are highly related to climate change; however, technological innovations as a powerful tool positively contribute to the environment. The present study examines the tourism receipt and CO2 emission relationship and the triple interaction effect of technological innovation, energy consumption, and tourism receipts on CO2 emissions in the short and long run. To achieve study objectives, we utilized panel data of 64 Belt and Road Initiative (BRI) countries over the period of 1995 to 2019. Considering the cross-sectional dependence in the panel data set, we employed a series of econometric panel data estimation techniques-including the panel unit root tests, panel co-integration tests, and the generalized method of moments (GMM). The panel unit root results confirmed the level of stationarity, and the panel co-integration results verified the long-run relationship among study variables. The sys-GMM results indicate that tourism receipts and CO2 emissions have an inverse relationship for 64 BRI countries. In addition, the negative coefficients for joint interaction imply that tourism receipts, technological innovation, and energy consumption reduce CO2 emissions. Considering the theoretical underpinnings of the study outcomes, we discussed significant policy implications to reduce CO emissions and achieve sustainable tourism.
在当代全球化时代,旅游业是增长最快的经济部门之一,且与气候变化高度相关;然而,技术创新作为一种强大工具,对环境有积极贡献。本研究考察了旅游收入与二氧化碳排放之间的关系,以及技术创新、能源消耗和旅游收入在短期和长期内对二氧化碳排放的三重交互作用。为实现研究目标,我们使用了1995年至2019年期间64个“一带一路”倡议(BRI)国家的面板数据。考虑到面板数据集中的横截面依赖性,我们采用了一系列计量经济学面板数据估计技术,包括面板单位根检验、面板协整检验和广义矩方法(GMM)。面板单位根结果证实了平稳性水平,面板协整结果验证了研究变量之间的长期关系。系统广义矩估计结果表明,对于64个“一带一路”倡议国家,旅游收入与二氧化碳排放呈负相关关系。此外,联合交互作用的负系数意味着旅游收入、技术创新和能源消耗会减少二氧化碳排放。考虑到研究结果的理论基础,我们讨论了减少碳排放和实现可持续旅游的重要政策含义。