Warsame Abdimalik Ali, Mohamed Jama, Sarkodie Samuel Asumadu
Faculty of Economics, SIMAD University, Mogadishu, Somalia.
Faculty of Mathematics and Statistics, College of Applied and Natural Science, University of Hargeisa, Hargeisa, Somalia.
Heliyon. 2024 Mar 18;10(6):e28214. doi: 10.1016/j.heliyon.2024.e28214. eCollection 2024 Mar 30.
This study ascertains the effect of natural disasters, deforestation, and emissions on economic growth in Somalia using annual time series spanning 1990-2018. Contrary to previous attempts, this study utilized the kernel regularized least squares (KRLS) technique, robust Granger causality in the presence of instabilities, and novel supremum right-tail Augment Dickey-Fuller unit root to test explosive behaviors in data series. While two date-stamped explosive behaviors are detected in economic growth (2003-2012, 2014-2016) and FDI (2004, 2016-2018), one explosive behavior is observed in capital formation (2010-2018) and population density (2010-2018). Moreover, time-varying granger causalities among sampled variables are observed. The empirical results show natural disasters and deforestation significantly undermine economic growth, whereas GHG emissions stimulate economic growth. Besides, while GHG emissions have increasing marginal effects, natural disasters and deforestation have decreasing marginal effects. The marginal effect of the interaction between natural disasters and temperature change is close to zero, implying that temperature changes do not mediate the disaster-growth nexus. Nevertheless, the study underscores the need for the implementation of environmental and economic policy reforms related to natural disaster preparedness, eliminating deforestation for charcoal exports while implementing a paradigm shift from domestic charcoal and firewood energy consumption to clean and renewable energy.
本研究利用1990 - 2018年的年度时间序列,确定自然灾害、森林砍伐和排放对索马里经济增长的影响。与以往的研究不同,本研究采用了核正则化最小二乘法(KRLS)技术、在存在不稳定性情况下的稳健格兰杰因果关系以及新颖的上尾增强迪基 - 富勒单位根来检验数据序列中的爆炸性行为。虽然在经济增长(2003 - 2012年、2014 - 2016年)和外国直接投资(2004年、2016 - 2018年)中检测到两种有时间戳的爆炸性行为,但在资本形成(2010 - 2018年)和人口密度(2010 - 2018年)中观察到一种爆炸性行为。此外,还观察到样本变量之间的时变格兰杰因果关系。实证结果表明,自然灾害和森林砍伐显著损害经济增长,而温室气体排放刺激经济增长。此外,虽然温室气体排放的边际效应在增加,但自然灾害和森林砍伐的边际效应在下降。自然灾害与温度变化之间相互作用的边际效应接近于零,这意味着温度变化并未调节灾害与增长之间的关系。尽管如此,该研究强调需要实施与自然灾害防范相关的环境和经济政策改革,消除为出口木炭而进行的森林砍伐,同时实现从国内木炭和柴火能源消费向清洁和可再生能源的范式转变。