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Evaluation of the economic impact of climate change on the agriculture : theoretical and empirical analysis on international data

Authors: Nefzi, Aida;

Evaluation of the economic impact of climate change on the agriculture : theoretical and empirical analysis on international data

Abstract

The literature is not unanimous as for the effect of the climatic change on developing countries. Indeed, if several studies conclude that the agriculture of developing countries is vulnerable to the climatic change because of the predominance of weak capital agriculture, others suggest that climate change will be benefit to agriculture. This thesis has for objective to study the impact of the climate change on the Tunisian agriculture while using an analysis ricardienne of the agricultural value added. We execute a spatiotemporal analysis of the answer of the agricultural value added to the climate change on a relative data base of 21 governates of Tunisia that covers the period 1992-2007. On the basis of results of evaluation of this analysis, we proceed to a simulation of the impact of the climate change on agriculture relatively on the projections of a moderate scenario on the 2020 horizon. Results suggest that the climate change combined to an evolution of the technological level would have some beneficial effects on the Tunisian agriculture. This result would put back in question findings of the existing study that insist on the negative effects of the climatic change on agriculture. La littérature n'est pas unanime quant à l'effet favorable ou défavorable du changement climatique sur les pays en voie de développement. En effet, si plusieurs travaux concluent que l'agriculture des pays en voie de développement est vulnérable au changement climatique à cause de la prédominance de l'agriculture à faible capital, d'autres suggèrent le contraire. Cette thèse a pour objectif d'étudier l'impact du changement climatique sur l'agriculture tunisienne en utilisant une analyse ricardienne de la valeur ajoutée agricole. Nous effectuons une analyse spatio-temporelle de la réponse de la valeur ajoutée agricole au changement climatique sur une base de données relative à 21 gouvernorats de la Tunisie qui couvre la période 1992-2007. Sur la base des résultats d'estimation de cette analyse, nous procédons à une simulation de l'impact du changement climatique sur l'agriculture relativement aux projections d'un scénario modéré à l'horizon 2020. Les résultats suggèrent que le changement climatique combiné à une évolution du niveau technologique aurait des effets bénéfiques sur l'agriculture tunisienne. Ce résultat remettrait en question les conclusions de la majorité des travaux existants dans la littérature qui insistent sur les effets négatifs du changement climatique sur l'agriculture.

Country
France
Keywords

[SDV.EE]Life Sciences [q-bio]/Ecology, environment, Changement climatique, [SDV.EE] Life Sciences/Ecology, environment, méthode ricardienne, Tunisia, Spatiotemporal interaction, [SDV]Life Sciences [q-bio], Added value, Ricardien method, Agriculture, ricardien method, Valeur ajoutée, Tunisie, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment, spatiotemporal interaction, Méthode ricardienne, Climate change, Interaction spatio-temporelle, these, agriculture, added value

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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