Modelling contingent technology adoption in farming irrigation communities
| Autor: | Pablo Noriega, Antoni Perello-Moragues, Manuel Poch |
|---|---|
| Přispěvatelé: | CSIC - Instituto de Investigación en Inteligencia Artificial (IIIA), Universidad Autónoma de Barcelona, Generalitat de Catalunya, Ministerio de Ciencia e Innovación (España) |
| Rok vydání: | 2019 |
| Předmět: |
Irrigation
Policy making Innovation diffusion Agricultural economics Water in agriculture Political science Computer Science (miscellaneous) Agent-Based modeling Regatge Agent-Based Modeling Innovation Diffusion Irrigation Agriculture Policy-Making Socio-Hydrology Government business.industry Policy-making Irrigation agriculture Socio-hydrology General Social Sciences language.human_language Aigua en l'agricultura Agriculture language Catalan business |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname Journal of Artificial Societies and Social Simulation, 2019, vol. 22, núm. 4 Articles publicats (D-EQATA) DUGiDocs – Universitat de Girona Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona |
| Popis: | Of all the uses ofwater, agriculture is the one that requires the greatest proportion of resourcesworldwide. Consequently, it is a salient subject for environmental policy-making, and adoption of modern irrigation systems is a key means to improve water use efficiency. 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 andwater is scarce. These encouraging results point towards the interest of more sophisticated socio-cognitive modelling within a more realistic socio-hydrologic context. The first author is supported with the industrial doctoral grant 2016DI043 of the Catalan Secretariat for Universities and Research (AGAUR), sponsored by FCC AQUALIA SA, IIIA-CSIC, and Universitat Autònoma de Barcelona (UAB). This research has been also supported by the CIMBVAL project (Spanish government, project # TIN2017-89758-R). |
| Databáze: | OpenAIRE |
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