Agricultural Decision Analysis: The Causal Challenge

Research output: Book chapter/Published conference paperConference paper

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Abstract

The paper sets out the agenda for reviewing models of decision making in the context of farmers' use of seasonal climate forecasting. Such forecasts have been framed in terms of shifts in cumulative distribution functions of yields or gross margins. Typically they have been applied to choices about crop variety, crop type, time of planting or level of fertiliser application. Fundamental questions are: how do farmers conceptualise and make use of the information contained in seasonal climate forecasts? Do our models of decision making represent well the way in which these decisions are made?
Original languageEnglish
Title of host publicationAARE2009
Subtitle of host publicationInspiring innovative research in education
Place of PublicationAustralia
PublisherAARES
Pages1-12
Number of pages12
Publication statusPublished - 2009
EventAustralian Agricultural and Resource Economics Society Conference - Cairns, Australia, Australia
Duration: 10 Feb 200913 Feb 2009

Conference

ConferenceAustralian Agricultural and Resource Economics Society Conference
CountryAustralia
Period10/02/0913/02/09

Fingerprint

decision support systems
weather forecasting
farmers
cumulative distribution
fertilizer application
planting
climate
cultivars
crops

Cite this

Parton, K. (2009). Agricultural Decision Analysis: The Causal Challenge. In AARE2009: Inspiring innovative research in education (pp. 1-12). Australia: AARES.
Parton, Kevin. / Agricultural Decision Analysis : The Causal Challenge. AARE2009: Inspiring innovative research in education. Australia : AARES, 2009. pp. 1-12
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title = "Agricultural Decision Analysis: The Causal Challenge",
abstract = "The paper sets out the agenda for reviewing models of decision making in the context of farmers' use of seasonal climate forecasting. Such forecasts have been framed in terms of shifts in cumulative distribution functions of yields or gross margins. Typically they have been applied to choices about crop variety, crop type, time of planting or level of fertiliser application. Fundamental questions are: how do farmers conceptualise and make use of the information contained in seasonal climate forecasts? Do our models of decision making represent well the way in which these decisions are made?",
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Parton, K 2009, Agricultural Decision Analysis: The Causal Challenge. in AARE2009: Inspiring innovative research in education. AARES, Australia, pp. 1-12, Australian Agricultural and Resource Economics Society Conference, Australia, 10/02/09.

Agricultural Decision Analysis : The Causal Challenge. / Parton, Kevin.

AARE2009: Inspiring innovative research in education. Australia : AARES, 2009. p. 1-12.

Research output: Book chapter/Published conference paperConference paper

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T2 - The Causal Challenge

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N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Australia: AARES, 2009. Event dates (773o) = 10-13 February 2009; Parent title (773t) = Australian Agricultural and Resource Economics Society Conference.

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N2 - The paper sets out the agenda for reviewing models of decision making in the context of farmers' use of seasonal climate forecasting. Such forecasts have been framed in terms of shifts in cumulative distribution functions of yields or gross margins. Typically they have been applied to choices about crop variety, crop type, time of planting or level of fertiliser application. Fundamental questions are: how do farmers conceptualise and make use of the information contained in seasonal climate forecasts? Do our models of decision making represent well the way in which these decisions are made?

AB - The paper sets out the agenda for reviewing models of decision making in the context of farmers' use of seasonal climate forecasting. Such forecasts have been framed in terms of shifts in cumulative distribution functions of yields or gross margins. Typically they have been applied to choices about crop variety, crop type, time of planting or level of fertiliser application. Fundamental questions are: how do farmers conceptualise and make use of the information contained in seasonal climate forecasts? Do our models of decision making represent well the way in which these decisions are made?

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KW - Review

KW - Seasonal climate forecasts

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Parton K. Agricultural Decision Analysis: The Causal Challenge. In AARE2009: Inspiring innovative research in education. Australia: AARES. 2009. p. 1-12