Changement climatique et agriculture en République du Congo : application d’une approche ricardienne

Keywords : climate change; poverty; agricultural added value; Ricardian approach; ARDL model.


Abstract

The objective of this study is to assess the impact of climate change on pagriculture in the Republic of Congo. In order to achieve this objective, the Ricardian approach was used to estimate the effects of climate change on agricultural added value. The ARDL (AutoRegressive Distributed model. Lag in French autorégressif à retards échelonnés) and specific tests were used for estimates. The results learned from this work show that average temperatures and average rainfall heights are the main climatic variables that affect agricultural land production, yields, productivity or incomes. Moreover, it also brings out the relationship between climate and agricultural value added is non-linear and that of the two climate variables only annual average temperatures are significant unlike average annual precipitation. The signs of linear and quadratic terms are opposite. This means that temperature positively affects income to a certain level above which it becomes harmful to crops.

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