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Journal of Artificial Societies and Social Simulation
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Modelling Contingent Technology Adoption in Farming Irrigation Communities

Authors: Antoni Perello-Moragues; Pablo Noriega; Manel Poch;

Modelling Contingent Technology Adoption in Farming Irrigation Communities

Abstract

Of all the uses of water, agriculture is the one that requires the greatest proportion of resources worldwide. Consequently, it is a salient subject for environmental policy-making, and adoption of modern irrigation systems is a key means to improve water use eficiency. In this paper we present an agent-based model of the adoption process - known as "modernisation" - of a community constituted by farmer agents. The phenomenon is approached as a contingent innovation adoption: a first stage to reach a collective agreement followed by an individual adoption decision. The model is based on historical data from two Spanish irrigation communities during the period 1975-2010. Results suggest that individual profits and farm extension (as proxy of social influence) are suitable assumptions when modelling the modernisation of communities in regions where agriculture is strongly market-oriented and water is scarce. These encouraging results point towards the interest of more sophisticated socio-cognitive modelling within a more realistic socio-hydrologic context.

Country
Spain
Keywords

Policy-making, Socio-hydrology, Water in agriculture, Agent-based modelling, Aigua en l'agricultura, Irrigation agriculture, Irrigation, Agent-Based modeling, Regatge, Innovation diffusion

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selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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12
Top 10%
Average
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110
70
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