The impact of weather variability and climate change on pesticide applications in the US - An empirical investigation

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschung

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The impact of weather variability and climate change on pesticide applications in the US - An empirical investigation. / Koleva, Nikolinka G.; Schneider, Uwe A.; Tol, Richard S.J.
in: International Journal of Ecological Economics & Statistics (IJEES), Jahrgang 18, Nr. S10, 2010, S. 64-81.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschung

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@article{75ea7300691b48a3ad8191e28c7887b5,
title = "The impact of weather variability and climate change on pesticide applications in the US - An empirical investigation",
abstract = "Weather variability and climate change affect the application of pesticides in agriculture, in turn impacting the environment. Using panel data regression for the US, we find that weather and climate parameters significantly influence the application rates of most pesticides. Increased rainfall requires more plant protection for root crops and cereals and higher temperatures lead to increased pesticide applications to fruits and vegetables. The regression results are linked to downscaled climate scenario projections from the Canadian and Hadley Center climate models. We find that the application rates of most pesticides increase under both scenarios. However, the projected impacts vary considerably by crop, region, and pesticide. ",
keywords = "Transdisciplinary studies, climate change, weather variability, agricultural pesticides, regression, panel data, North America, US, Sustainability Science",
author = "Koleva, {Nikolinka G.} and Schneider, {Uwe A.} and Tol, {Richard S.J.}",
year = "2010",
language = "English",
volume = "18",
pages = "64--81",
journal = "International Journal of Ecological Economics & Statistics (IJEES)",
issn = "0973-1385",
publisher = "Centre for Environment and Socio-Economic Research Publications",
number = "S10",

}

RIS

TY - JOUR

T1 - The impact of weather variability and climate change on pesticide applications in the US - An empirical investigation

AU - Koleva, Nikolinka G.

AU - Schneider, Uwe A.

AU - Tol, Richard S.J.

PY - 2010

Y1 - 2010

N2 - Weather variability and climate change affect the application of pesticides in agriculture, in turn impacting the environment. Using panel data regression for the US, we find that weather and climate parameters significantly influence the application rates of most pesticides. Increased rainfall requires more plant protection for root crops and cereals and higher temperatures lead to increased pesticide applications to fruits and vegetables. The regression results are linked to downscaled climate scenario projections from the Canadian and Hadley Center climate models. We find that the application rates of most pesticides increase under both scenarios. However, the projected impacts vary considerably by crop, region, and pesticide.

AB - Weather variability and climate change affect the application of pesticides in agriculture, in turn impacting the environment. Using panel data regression for the US, we find that weather and climate parameters significantly influence the application rates of most pesticides. Increased rainfall requires more plant protection for root crops and cereals and higher temperatures lead to increased pesticide applications to fruits and vegetables. The regression results are linked to downscaled climate scenario projections from the Canadian and Hadley Center climate models. We find that the application rates of most pesticides increase under both scenarios. However, the projected impacts vary considerably by crop, region, and pesticide.

KW - Transdisciplinary studies

KW - climate change

KW - weather variability

KW - agricultural pesticides

KW - regression

KW - panel data

KW - North America

KW - US

KW - Sustainability Science

M3 - Journal articles

VL - 18

SP - 64

EP - 81

JO - International Journal of Ecological Economics & Statistics (IJEES)

JF - International Journal of Ecological Economics & Statistics (IJEES)

SN - 0973-1385

IS - S10

ER -

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