Department of Economics, Economics and Finance Application and Research Center, Istanbul Ticaret University, Istanbul, Turkey.
CREDS-Centre for Research on Digitalization and Sustainability, Inland Norway University of Applied Sciences, 2418, Elverum, Norway.
Environ Sci Pollut Res Int. 2023 Apr;30(17):50549-50566. doi: 10.1007/s11356-023-25653-x. Epub 2023 Feb 16.
Several studies have identified deforestation as a major cause of environmental degradation, but little is known about the asymmetric effect of the environmental cost of forest rents. To fill this gap, our study uses the nonlinear autoregressive distributed lag (NARDL) model and asymmetric causality test to examine the environmental implication of forest rents in the Guinean Forest-Savanna Mosaic of Nigeria over the period 1990:Q1 to 2016:Q4. The empirical results show that forest rents increase CO emissions when the shock to forest rents is positive and decreases CO emissions when the shock to forest rents is negative. The results further show evidence of asymmetric effects of crop production, fossil fuel energy consumption, and economic growth on CO emissions. Moreover, the effects of both positive and negative shocks in economic growth are elastic, suggesting that CO emissions respond in a larger magnitude to a 1% positive or negative shock in economic growth. While the positive shock to crop production and economic growth stimulates CO emissions, their negative shocks dampen CO emissions. In addition, the positive (negative) shocks to fossil energy consumption exert upward (downward) pressure on CO emissions. Furthermore, the asymmetric causality test divulges that a positive change in forest rents causes a negative change in CO emissions and a negative change in forest rents causes a positive change in CO emissions. Based on these findings, the study recommends the need for policymakers to formulate sound policies to protect the forests and transit toward clean energy consumption to minimize energy-related CO emissions in the country.
几项研究已经确定,森林砍伐是环境恶化的一个主要原因,但对于森林租金的环境成本的非对称影响却知之甚少。为了填补这一空白,我们的研究使用非线性自回归分布滞后(NARDL)模型和非对称因果关系检验,考察了尼日利亚几内亚森林-稀树草原镶嵌体中森林租金对环境的影响。实证结果表明,当森林租金冲击为正时,森林租金增加了 CO 排放,而当森林租金冲击为负时,CO 排放减少。结果进一步表明,作物产量、化石燃料能源消耗和经济增长对 CO 排放的不对称影响存在证据。此外,经济增长的正负冲击的影响都是弹性的,这表明 CO 排放对经济增长的 1%的正负冲击的反应幅度更大。虽然作物产量和经济增长的正冲击刺激了 CO 排放,但它们的负冲击却抑制了 CO 排放。此外,化石能源消耗的正(负)冲击对 CO 排放施加了向上(向下)的压力。此外,非对称因果关系检验表明,森林租金的正向变化导致 CO 排放的负向变化,而森林租金的负向变化导致 CO 排放的正向变化。基于这些发现,本研究建议政策制定者有必要制定健全的政策来保护森林,并向清洁能源消费转型,以尽量减少该国与能源相关的 CO 排放。