School of Economics, Huazhong University of Science and Technology, Wuhan, China.
Department of Finance, Accounting, and Economics, National University of Science and Technology, Politehnica Bucharest, Pitesti Regional Center, Pitești, Romania.
PLoS One. 2024 May 17;19(5):e0301122. doi: 10.1371/journal.pone.0301122. eCollection 2024.
This article investigates the dynamic impact of green energy consumption (GE), financial inclusion (FI), and military spending (MS) on environmental sustainability (ES) by utilizing a sample of 121 countries from 2003 to 2022. The dataset is divided into high-income, upper-middle income and low and lower-middle-income countries. We employed a two-step system GMM approach, which was further robust through panel Quantile and Driscoll-Kraay (D-K) regressions. The findings divulged that green energy resources benefit ES at global and all income levels because of having a significant negative impact of 5.9% on ecological footprints. At the same time, FI and MS significantly enhance ecological footprints by 7% and 6.9%, respectively, proving these factors detrimental to ES. Moreover, conflicts (CON), terrorism (TM), institutional quality (IQ), and socioeconomic conditions (SEC) also have a significantly positive association with global ecological footprints and most of the income level groups. Dissimilarly, financial inclusion and armed conflicts have a non-significant influence on ecological footprints in low-income and high-income countries, respectively. Furthermore, institutional quality enhances ES in upper-middle and low and lower-middle-income countries by negatively affecting ecological footprints. At the same time, terrorism significantly reduces ecological footprints in high-income countries. This research also provides the imperative policy inferences to accomplish various SDGs.
本文利用 2003 年至 2022 年 121 个国家的样本,研究了绿色能源消费(GE)、金融包容性(FI)和军费支出(MS)对环境可持续性(ES)的动态影响。该数据集分为高收入、中上收入和低及中下收入国家。我们采用了两步系统 GMM 方法,并通过面板 Quantile 和 Driscoll-Kraay(D-K)回归进一步进行了稳健性检验。研究结果表明,绿色能源资源有利于 ES,因为其对生态足迹有显著的负向影响,达到 5.9%。同时,FI 和 MS 分别显著提高了生态足迹 7%和 6.9%,这表明这些因素对 ES 不利。此外,冲突(CON)、恐怖主义(TM)、制度质量(IQ)和社会经济条件(SEC)也与全球生态足迹和大多数收入水平组呈显著正相关。相反,金融包容性和武装冲突分别对低收入和高收入国家的生态足迹没有显著影响。此外,制度质量通过对生态足迹产生负面影响,提高了中上收入和低及中下收入国家的 ES。同时,恐怖主义显著降低了高收入国家的生态足迹。本研究还提供了实现各种可持续发展目标的必要政策推论。