Graduate School of Economics and Management (GSEM), Ural Federal University (UrFU), Yekaterinburg, Russia; Bangladesh Institute of Governance and Management (BIGM), University of Dhaka (Affiliated), Dhaka, Bangladesh.
Department of International Trade and Finance, School of Management and Economics, Beijing Institute of Technology, Beijing, China; Center for Sustainable Energy and Economic Development, Gulf University for Science and Technology, Hawally, Kuwait.
J Environ Manage. 2023 Oct 1;343:118190. doi: 10.1016/j.jenvman.2023.118190. Epub 2023 May 23.
Most researchers consider CO emissions to be the primary indicator of environmental degradation. Similarly, ecological footprint appears to be a significant proxy for environmental degradation in recent research due to its multifaceted impact on the natural environment. With this in mind, this study investigates fluctuations in CO emissions and ecological footprint as indicators of environmental degradation in Bangladesh from 1980 to 2020, and how they are influenced by net savings, natural resource depletion, technological innovation, and democracy. The non-linear ARDL (NARDL)-based asymmetric analysis finds that positive changes in net savings, natural resource depletion, and democracy positively impact both parameters of environmental degradation in the long run. On the other hand, a positive change in technological innovation reduces these parameters in the long run. Likewise, negative changes in net savings and technological innovation reduce environmental degradation. In contrast, negative changes in natural resource depletion and democracy exacerbate these two parameters and degrade environmental quality in the long run. However, there are some variations in the short-run influence of the predictors on the predicted variable. Overall, the findings of this study suggest that policymakers must strategically exploit natural resources, net savings, technology diffusion, and democratic principles to preserve the natural environment in Bangladesh.
大多数研究人员认为 CO 排放量是环境退化的主要指标。同样，由于生态足迹对自然环境的多方面影响，它似乎是最近研究中环境退化的一个重要替代指标。考虑到这一点，本研究调查了 1980 年至 2020 年期间孟加拉国 CO 排放和生态足迹波动情况，以及它们如何受到净储蓄、自然资源枯竭、技术创新和民主的影响。基于非对称分析的非线性自回归分布滞后模型（NARDL）发现，净储蓄、自然资源枯竭和民主的积极变化从长期来看对环境退化的两个参数都有积极影响。另一方面，技术创新的积极变化从长期来看会降低这两个参数。同样，净储蓄和技术创新的负向变化会降低环境退化。相比之下，自然资源枯竭和民主的负向变化会加剧这两个参数，从长期来看会降低环境质量。然而，在短期预测变量对预测变量的影响方面存在一些差异。总的来说，本研究的结果表明，政策制定者必须战略性地利用自然资源、净储蓄、技术扩散和民主原则来保护孟加拉国的自然环境。
