The Impact of Climate Change on Agriculture in Morocco: An Econometric Study

Faycel Tazigh
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Abstract

This paper aims to analyze the relationship that may exist between climate change and cereal yield in Morocco. In order to study this correlation between variables, we used the most common form of regression model which is the multiple linear regression model. There are two main uses of multiple linear regression model. The first one is to quantify the weight of impact that the independent variables had on the dependent variable. The second use is to predict not only the relationship that may found between variables but also their impacts. In our case, we have chosen temperature and precipitation as an independent variables and cereal yield as dependent variable.
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气候变化对摩洛哥农业的影响:一个计量经济学研究
本文旨在分析气候变化与摩洛哥谷物产量之间可能存在的关系。为了研究变量之间的这种相关性,我们使用了最常用的回归模型形式,即多元线性回归模型。多元线性回归模型主要有两种用途。第一个是量化自变量对因变量的影响权重。第二个用途是不仅预测变量之间的关系,而且预测它们的影响。在我们的例子中,我们选择温度和降水作为自变量,谷物产量作为因变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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