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Mitigation of the effects of climate change in the agricultural sector of Cyprus, through optimization of benefit
Author(s) -
Y. Economidou,
Maria K. Doula,
Antonis A. Zorpas
Publication year - 2021
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2021.118
Subject(s) - agriculture , scarcity , water scarcity , profit (economics) , natural resource economics , agricultural productivity , climate change , productivity , agricultural economics , business , farm water , water resources , production (economics) , environmental science , economics , water conservation , geography , ecology , macroeconomics , archaeology , biology , microeconomics
Water scarcity has a significant impact on agricultural productivity, and it usually constitutes the main criterion for the continuation of agricultural activity. The Cyprus agri-sector faces increasing challenges since water resources are very limited and particularly susceptible to climate change. As total profit highly depends on cultivation patterns, the present study aims to define the optimal pattern of agricultural crops in Cyprus. A linear programming model is set up to maximize the net profit of annual and permanent crops. As for the constraints, these include limitations on land and water availability under four different scenarios, provided that production secures current consumption of (1) domestic products, (2) domestic and imported products, (3) domestic products but under a 40% decrease in water availability and (4) domestic products but limited to only traditional, tropical and subtropical crops, under a 40% decrease in water availability. The results indicate that when using an optimal cultivation pattern, economic benefit increases by 120%, 62%, 20%, and 48%, based on Scenarios 1, 2, 3 and 4, respectively. Furthermore, the results are considered useful and directly applicable for policy makers to redesign their strategy in light of water scarcity.

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