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The purpose of this paper is to investigate consumer preferences for boxes of eggs which are produced without the culling of male layer-type chicks in layer hen production and, furthermore, to investigate consumer preferences for labels from different certifying bodies.

An online survey including a discrete choice experiment was conducted among 526 German consumers in 2018 and early 2019. Mixed logit models in preference and willingness to pay (WTP) space were estimated.

The preferred alternative is gender determination of incubated eggs, but also dual-use (DU) poultry with free-range rearing of cockerels was approved. Labels from public authorities and the Animal Protection Organisation were highly approved. In contrast, retailers were not considered suitable for the certification of production claims.

A hypothetical setting was employed. A revealed preferences approach is suggested for future research.

Evidence for a wide approval of in ovo gender determination was found. Free-range rearing of cockerels was the most promising for the marketing of DU poultry products. Furthermore, public authorities and well-established third parties should engage in the field of animal welfare labelling.

This is the first study focussing on preferences and WTP for alternatives to chick culling, which will soon be available on the market, and for institutions certifying production claims. Findings help political decision makers, when looking for alternatives to the culling of day-old chicks, which are considered more acceptable by the public.

Digital credit is spreading rapidly across Sub-Saharan Africa and holds potential for financial inclusion and female financial autonomy. Women in developing economies have long been targeted by microfinance institutions due to the women’s reliability and positive spillover effects. Yet, adoption rates for digital financial innovations remain moderate among rural women in Sub-Saharan Africa. The authors explore whether female preferences for digital and conventional credit differ from males.

The authors conduct a Discrete Choice Experiment with 420 smallholder farmers in central Madagascar, one of the region's poorest countries, to assess preferences for selected digital and conventional credit attributes.

Results of the mixed logit model and the comparison of the willingness-to-pay via Poe-test suggest high general demand for both credit forms. The demand of female respondents is higher than that of males, suggesting that they might be underserved. This holds for both credit forms. However, differences in willingness to pay for the credit attributes are mostly not statistically significant, indicating that designing gender-specific services may not be advisable.

This article is believed to be the first to assess and compare gendered willingness to pay for digital and conventional credit. The study’s findings give valuable insights to decision-makers in development politics as well as the fintech industry.

Fish farmers in Africa often operate on small-scale culture units, primarily due to poor access to funding and low technology adoption. Digital innovation platforms seek to enhance farmers’ access to finance, production and farmers’ income. However, there is a lack of empirical evidence to support these claims. Therefore, this study investigated the factors influencing fish farmers’ access to microcredit from digital innovation platforms and the impact of this microcredit on fish farms’ yield and income in Nigeria.

A mixed-methods approach was adopted, and data were gathered from 387 fish farmers through a well-structured questionnaire and focus group discussion. The data were analyzed using probit regression and instrumental variable two-stage least squares regression.

The results revealed that ownership of smartphones, awareness of digital agricultural innovation platforms, farmers’ education, income, fish farming as a primary occupation, cooperative society and extension contacts positively influenced farmers’ access to microcredit from digital innovation platforms. The age of farmers and household size negatively influenced their access to digital microcredit. Digital microcredit positively and significantly impacted fish farms’ yield and farmers’ income.

Digital microcredit significantly increased fish farm yield and income. Therefore, digital innovation platforms should be encouraged and promoted through the creation of awareness about their ability to solve inadequate financing in agriculture by agricultural extension agents.

This study contributes to our understanding of the influencing factors for farmers accessing digital microcredit and how digital microcredit enhances farm yield and income.