量化气候风险:对埃及通货膨胀和经济增长的 SVAR 分析

Amira Tohamy Eltayb, Ahmed Hamdy Hashem, Ramy Hosny Elazhary
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摘要

:气候变化对我们这个时代提出了严峻的挑战。在本研究中,我们使用定量方法来研究天气引起的自然灾害对通货膨胀和 GDP 增长的影响。使用的是埃及 1965-2021 年的时间序列数据。基于结构向量自回归(SVAR)的分析表明,通货膨胀和经济增长对与天气有关的自然灾害的反应非常温和,但在气候冲击的方向和程度方面存在差异。温度冲击、风暴和洪水会导致通货膨胀率下降,而地震则会提高通货膨胀率。洪水冲击似乎会导致实际国内生产总值(GDP)的长期增长,而气温、风暴和地震的影响则更加不稳定,长期持续性较差。在温度冲击的情况下,增长放缓会持续到冲击发生后的 7 年之后。此时,实际 GDP 增长率比未发生气温冲击时低约 3.8 个百分点。
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Quantifying Climate Risks: SVAR Analysis on Inflation and Economic Growth in Egypt
: Climate change poses a critical challenge in our era. In this study, we use quantitative methodology to examine the effect of natural disasters on inflation and GDP growth caused by weather. Using time series data for Egypt spanning the period 1965-2021. Based on Structural Vector Autoregression (SVAR), the analysis reveals that inflation and growth respond very modestly to weather-related natural disasters but differ regarding the direction and magnitude of climate shocks. Temperature shocks, storms, and floods lead to a decrease in inflation rates, while earthquakes increase inflation rates. While flood shocks appear to lead to a permanent increase in real Gross Domestic Product (GDP) growth, the effects of temperature, storms, and earthquakes are more volatile and less persistent in the long run. In the case of temperature shocks, the growth slowdown extends beyond seven years from the shock. At this point, real GDP growth is lower by approximately 3.8 percentage points than if the temperature shock had not occurred.
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