Preferences for enhanced seasonal weather and climate services among maize farmers in Zimbabwe: A choice experiment analysis DOI Creative Commons
Joseph Manzvera, Kwabena Asomanin Anaman, Akwasi Mensah‐Bonsu

и другие.

Meteorological Applications, Год журнала: 2025, Номер 32(2)

Опубликована: Март 1, 2025

Abstract Using a discrete choice experiment, this article analyzed maize farmers' stated preferences for seasonal weather forecast attributes in Zimbabwe. Specifically, the study assessed most preferred of modern forecasts to guide investment priorities. The mixed logit model, which accounts taste heterogeneity, was employed analyze data. results show that farmers place positive utility on downscaling village level, bundling with agronomic advisory information, and long lead time 6 months ahead onset rainy season. Farmers are willing pay 1.40 United States dollars (US$) US$1.50 information such as suitable crop varieties grow, US$1.80 disseminating time. marginal willingness estimates translate US$368 million economic value per annum all These findings underscored importance attached by valuable decision‐support service. Therefore, presents compelling case increasing national resource allocation towards production delivery location‐specific six‐month information. Co‐production integrating them indigenous forecasts, well via mobile applications, could also be explored addition radio stations extension agents. Public–private partnerships private‐sector players, telecommunication companies, help digitalize dissemination.

Язык: Английский

Preferences for enhanced seasonal weather and climate services among maize farmers in Zimbabwe: A choice experiment analysis DOI Creative Commons
Joseph Manzvera, Kwabena Asomanin Anaman, Akwasi Mensah‐Bonsu

и другие.

Meteorological Applications, Год журнала: 2025, Номер 32(2)

Опубликована: Март 1, 2025

Abstract Using a discrete choice experiment, this article analyzed maize farmers' stated preferences for seasonal weather forecast attributes in Zimbabwe. Specifically, the study assessed most preferred of modern forecasts to guide investment priorities. The mixed logit model, which accounts taste heterogeneity, was employed analyze data. results show that farmers place positive utility on downscaling village level, bundling with agronomic advisory information, and long lead time 6 months ahead onset rainy season. Farmers are willing pay 1.40 United States dollars (US$) US$1.50 information such as suitable crop varieties grow, US$1.80 disseminating time. marginal willingness estimates translate US$368 million economic value per annum all These findings underscored importance attached by valuable decision‐support service. Therefore, presents compelling case increasing national resource allocation towards production delivery location‐specific six‐month information. Co‐production integrating them indigenous forecasts, well via mobile applications, could also be explored addition radio stations extension agents. Public–private partnerships private‐sector players, telecommunication companies, help digitalize dissemination.

Язык: Английский

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