Irrigation Advisory Services: Farmers preferences and willingness to pay for innovation

Filiberto Altobelli*, Anna Dalla Marta, Marius Heinen, Claire Jacobs, Elisa Giampietri, Marco Mancini, Orlando Cimino, Samuele Trestini, Remco Kranendonk, Andre Chanzy, Marta Debolini, Dominique Courault, Ewa Kanecka-Geszke, Wiesława Kasperska-Wolowicz, Francisco José Blanco-Velázquez, María Anaya-Romero, Marlene De Witt, Willem de Clercq, Antonio Diaz Espejo, Virginia Hernandez-SantanaFrancesco Caracciolo, Teresa Del Giudice

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

Irrigation Advisory Services (IAS) are powerful management instruments aiming to achieve the best efficiency in irrigation water use. So far the literature on farmers’ preferences for a specific scheme design of IAS’ characteristics and the related willingness to pay (WTP) is scant. This study provides evidence on farmers’ preference towards six attributes related to the IAS configuration by using a hypothetical choice experiment. Data were collected from an original survey among 108 farmers from Spain, The Netherlands, Italy, Poland and South Africa. Moreover, we investigated the interplay between these preferences and the individual risk attitude (elicited through a lottery task) as a novel contribution. On average, the results suggest a clear farmers’ preference, especially for receiving weather forecasts from the service and for the feature related to water data recording; as the opposite, on average, crop water requirement seems irrelevant. Finally, we found that farmers’ WTP for the different IAS services varies across countries and, in some cases, also according to the individual risk attitude.

Original languageEnglish
Pages (from-to)277-285
JournalOutlook on Agriculture
Volume50
Issue number3
Early online date29 Mar 2021
DOIs
Publication statusPublished - 2021

Keywords

  • Decision support system
  • irrigation advisory service
  • mixed logit
  • risk attitude

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