Azerbaijan State University of Economics, Baku, AZ1007; Karabakh University, Khankendi, AZ2600, Azerbaijan; Western Caspian University, Baku, AZ1001, Azerbaijan.
J Environ Manage. 2024 Sep;368:122194. doi: 10.1016/j.jenvman.2024.122194. Epub 2024 Aug 20.
This comprehensive study addresses the urgent global challenges of climate change and environmental degradation by focusing on the Ecological Footprint (EF). Unlike previous studies, it introduces a novel approach incorporating spatial spillover, temporal effects, and common shocks in panel data analysis. The spatial spillover effect highlights the influence of trade, pollution havens, and competition between neighboring countries on EF. The temporal effects emphasize the significance of historical production patterns and export strategies in shaping the current EF. The study also considers the impact of exogenous common shocks, such as international agreements and global events, on EF. Utilizing a dynamic spatial panel data model with common shocks, the research examines 40 European countries from 1992 to 2020, revealing the significant impact of biocapacity, energy consumption, industrialization, and globalization on EF. Findings indicate that spatial spillover effects contribute to EF transfer, emphasizing the need for collaborative global efforts. The study sheds light on the interconnectedness of environmental impacts and underscores the importance of considering both weak and strong forms of cross-sectional dependence in achieving accurate estimations. The research enriches our understanding of EF determinants and provides nuanced insights for policymakers striving to develop effective strategies for sustainable resource management and environmental conservation.
这项全面的研究通过关注生态足迹(EF)来应对气候变化和环境恶化这两个紧迫的全球挑战。与以往的研究不同,该研究引入了一种新方法,将空间溢出效应、时间效应和面板数据分析中的共同冲击纳入其中。空间溢出效应突出了贸易、污染避难所以及邻国之间竞争对 EF 的影响。时间效应强调了历史生产模式和出口战略在塑造当前 EF 方面的重要性。该研究还考虑了外部共同冲击(如国际协议和全球事件)对 EF 的影响。利用具有共同冲击的动态空间面板数据模型,该研究检验了 1992 年至 2020 年间的 40 个欧洲国家,结果表明生物容量、能源消耗、工业化和全球化对 EF 具有显著影响。研究结果表明,空间溢出效应导致 EF 转移,强调需要开展全球合作努力。该研究揭示了环境影响的相互关联性,并强调了在实现准确估计时考虑弱和强形式的横截面相关性的重要性。这项研究丰富了我们对 EF 决定因素的理解,并为政策制定者提供了细致入微的见解,以制定有效的可持续资源管理和环境保护策略。