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Ponce, Roberto D.

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Ponce

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Roberto D.

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  • Publication
    Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina
    (2023) Crispin Cunya, Marianella; Ponce, Roberto D.; Rendon Schneir, Eric; Arias Montevechio, Esteban Eduardo
    El cambio climático viene afectando de manera diferenciada a la agricultura, en particular, en la zona andina, dada su alta exposición, sensibilidad y baja capacidad adaptativa. Se evaluó la respuesta adaptativa de la agricultura andina frente a una variación de la disponibilidad hídrica debido al cambio climático en base al modelo hidro-económico que integra dos módulos: el modelamiento hidrológico en base al SWAT y un modelo económico de optimización en base al PMP. Se determinó una alta vulnerabilidad agrícola frente al cambio climático situación que podría revertirse al aplicar una política agraria en base al uso eficiente del agua.
  • Publication
    Exploring the impact of ocean acidification information on consumers’ preference for seafood
    (2024) Barrientos, Manuel; Carrasco-Garcés, Moisés; Vásquez Lavín, Felipe; Ponce, Roberto D.; San Martín, Valeska A.; Gelcich, Stefan
    We conducted a discrete choice experiment to explore whether providing information about a lesser-known issue related to climate change, ocean acidification (OA), affects consumers’ preferences for seafood products in a middle-income country in the southern hemisphere. Our objective was to determine whether OA information affects consumer preferences for seafood using stated preference (SP) techniques. Seafood attributes include shell size and appearance, meat color, texture, taste, nutritional composition, product assortments, and price. We applied a split-sample approach to test for information effects, with one sample receiving information about OA while the other did not. We analyze the differences between samples using visual instruments and statistical tests. The results demonstrate that although the statistical test does not identify a difference between models, we did find that OA information increases the precision of ’consumers’ responses. Moreover, using visual instruments, we found differences in specific parameters – not detected in the statistical analysis - which can lead to substantial differences in the willingness to pay for seafood attributes. The article is relevant as understanding these matters is essential when generating more effective communicational strategies regarding the impacts of global changes.