Social incentives as nudges for agricultural knowledge diffusion and willingness to pay for certified seeds: Experimental evidence from Uganda.

A transition from low-input subsistence farming in Sub-Saharan Africa will require the use of yield-increasing agricultural technologies. However, in developing countries, most farmers continue to rely heavily on pest-infested and disease-infected recycled seed from own or local sources leading to low yields. This study used a field experiment to examine the effect of a social incentive combined with goal setting on the diffusion of agricultural knowledge and uptake of quality certified seed by farmers.

Participatory research in times of COVID-19 and beyond: Adjusting your methodological toolkits.

Solving grand environmental societal challenges calls for transdisciplinary and participatory methods in social-ecological research. These methods enable co-designing the research, co-producing the results, and co-creating the impacts together with concerned stakeholders. COVID-19 has had serious impacts on the choice of research methods, but reflections on recent experiences of "moving online" are still rare.

Impact of Covid-19 on farming systems in Europe through the lens of resilience thinking.

Context: Resilience is the ability to deal with shocks and stresses, including the unknown and previously unimaginable, such as the Covid-19 crisis.

Objective: This paper assesses (i) how different farming systems were exposed to the crisis, (ii) which resilience capacities were revealed and (iii) how resilience was enabled or constrained by the farming systems' social and institutional environment.

Methods: The 11 farming systems included have been analysed since 2017.

Health impacts of cooking fuel choice in rural China.

This study investigated the impact of cooking fuel choice on the health of elderly people, as measured by activities of daily living, using micro survey data from the China Health and Retirement Longitudinal Study 2015. In contrast to previous studies, our focus on activities of daily living allows for a more comprehensive analysis of health outcomes than diagnoses or doctor visits. Propensity score matching and an endogenous switching regression model were used to address potential selection biases.