Modelling Contingent Technology Adoption in Farming Irrigation Communities
Bibliographic Data
| ID | 15347939 |
|---|---|
| Authors | Antoni Perelló-Moragues (corresponding author), Pablo Noriega (0000-0001-6974-1956, Artificial Intelligence Research Institute), Manel Poch (0000-0002-2593-9298, Universitat de Girona) |
| Year | 2019 |
| Volume | 22 |
| Issue | 4 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Artificial Societies and Social Simulation (JOURNAL) |
| Journal identifiers | ISSN: 1460-7425 • E-ISSN: 1460-7425 |
| Publisher | Journal of Artificial Societies and Social Simulation (PUBLISHER) |
| DOI | 10.18564/jasss.4100 |
| OpenAlex | W2985804266 |
| Language | EN |
| References cited | 3 |
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 e iciency. 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 -. 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
Agriculture · Business · Context (archaeology · Economic growth · Economics · Environmental economics · Environmental resource management · Geography · Modernization theory · Natural resource economics · Process (computing · Proxy (statistics · Salient · Computer Science · Land Use and Ecosystem Services · Urban Planning and Valuation · Water resources management and optimization
| Highly cited | No |
|---|