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The Macroeconomics of Flood: A Case Study of Pakistan

机译:洪水的宏观经济学:以巴基斯坦为例

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Climate change is a real threat explicitly for developing economies as large unexpected natural disasters generate destruction for economic and socio-economic factors. We use Autoregressive Distributive Lag (ARDL) cointegration model to figure out the dynamic response of output growth to flood shocks, using time series data for Pakistan between 1981 and 2014. The aim of the paper is to assess the long and short run dynamics of floods for economic growth. The results confirm a suitable long run relationship among GDP growth and its determinants: agriculture growth, non-agriculture growth, investment and affected areas by flood. We conclude that in case of Pakistan, we have a positive and significant effect of flood shocks on GDP growth and this impact is larger and more significant in the agriculture sector.
机译:气候变化明确地对发展中经济体构成真正的威胁,因为大规模的意外自然灾害会破坏经济和社会经济因素。我们使用自回归分布滞后(ARDL)协整模型,使用1981年至2014年之间的巴基斯坦时间序列数据,计算出产出增长对洪灾冲击的动态响应。本文的目的是评估洪灾的长期和短期动态为经济增长。结果证实了GDP增长及其决定因素之间适当的长期关系:农业增长,非农业增长,投资和受洪水影响的地区。我们得出的结论是,就巴基斯坦而言,洪水冲击对GDP增长产生了积极而显着的影响,而这种影响在农业领域更大,也更为显着。

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