The stochastic impact of climate change on farmers’ production plans may affect agricultural economic performance, by increasing uncertainty and thus affecting the choice of currently available production resources/input (water, land, labor and so on) that are needed to produce agricultural output. In this perspective, the paper presents a micro-macro integrated model/framework for the disaggregated quantitative assessment of the impacts of various shocks generated in different socio-economic and climate-driven simulations on the agricultural sector, with an application in the Italian Veneto region. Selected results report quantitative micro-macro computations. Under a “fragmented world scenario”, a 50% decrease in the cattle stock negatively affects the milk sector (-36% of total production) in such a way that generates a 0.10% decrease in the regional value added. Under an “unequal world” scenario, a 10% increase of cultivated land positively affects the wine grape sector (+14.3% of total production) in such a way that generates a 0.12% increase in the regional value added. Under a “wealthier world” scenario, a 20% increase of agricultural labor positively affects the grains sector (+31.6% of total production) in such a way that generates a 0.23% increase in the regional value added.
A Micro-Macro Economic Model for Assessment of Climate Change Impacts on the Agricultural Sector
Perali Federico
;Maikol Furlani;Pecci Francesco
2022-01-01
Abstract
The stochastic impact of climate change on farmers’ production plans may affect agricultural economic performance, by increasing uncertainty and thus affecting the choice of currently available production resources/input (water, land, labor and so on) that are needed to produce agricultural output. In this perspective, the paper presents a micro-macro integrated model/framework for the disaggregated quantitative assessment of the impacts of various shocks generated in different socio-economic and climate-driven simulations on the agricultural sector, with an application in the Italian Veneto region. Selected results report quantitative micro-macro computations. Under a “fragmented world scenario”, a 50% decrease in the cattle stock negatively affects the milk sector (-36% of total production) in such a way that generates a 0.10% decrease in the regional value added. Under an “unequal world” scenario, a 10% increase of cultivated land positively affects the wine grape sector (+14.3% of total production) in such a way that generates a 0.12% increase in the regional value added. Under a “wealthier world” scenario, a 20% increase of agricultural labor positively affects the grains sector (+31.6% of total production) in such a way that generates a 0.23% increase in the regional value added.File | Dimensione | Formato | |
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Evaluation of the Impact of Climate Change on the Agricultural Sector.pdf
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