Agri-environmental schemes have been introduced in numerous countries to combat biodiversity loss in agrarian landscapes that are important for both food production and biodiversity. The successful operation of such schemes depends strongly upon trust between actors involved, as well as trust in institutions that govern these schemes. However, the interplay between interpersonal and institutional trust in the context of collective action for agri-environmental management is not well understood. To address this question, we explore the case of agri-environmental management in the province of Drenthe (in The Netherlands), where a new policy model was implemented. This case shows how both institutional design and institutional performance critically influence trust dynamics. Under the old policy model, farmers struggled with auditing and control, which fostered mistrust and hampered collective action. Under the new model, a landscape approach, more responsibilities were delegated to farmers, and more room was created for interaction, which fostered trust both between actors and in institutions. Based on our findings, we conclude that institutional designs that reflect trust in the actors can foster interpersonal and institutional trust that, in turn, facilitates collective action. However, old arrangements can also create path dependencies that limit trust development and impede collective action for agri-environmental management.

Value chain partnerships face difficulties achieving inclusive relations, often leading to unsustainable collaboration. Improving information flow between actors has been argued to contribute positively to a sense of inclusion in such partnership arrangements. Smallholders however usually lack the capability to use advanced communication technologies such as smartphones which offer a means for elaborate forms of information exchange. This study explores to what extent co-designing smartphone platforms with smallholders for farm monitoring contributes to smallholder ability to communicate, and how this influences smallholder sense of inclusion. The study uses an Action Design Research approach in engaging smallholders in Ghana, through multi-stakeholder and focus group discussions, in a reflexive co-design process. The research finds that co-designing a platform interface was significant in improving farmer ability to comprehend and use smartphone based platforms for communicating farm conditions and their needs with value chain partners. Farmers were however skeptical of making demands based on the platform due to their lack of power and mistrust of other actors. This highlights a need for adjusting the social and political dimensions of partnership interactions, in tandem with the advancement of digital tools, in order to effectively facilitate a sense of inclusiveness in partnerships.

Agri-food value chains are complex systems comprising of a network of interlinked and interdependent actors. To foster collaboration between these actors, trust between actors and in value chains is considered to be key. Despite growing scholarly attention an overview of to what extent and how trust is the role of trust in agri-food value chains is lacking. Employing a systematic review, this paper aims to explore the literature on trust in agri-food value chains to provide a solid knowledge basis for future studies into more specific aspects of trust. For our results, 139 papers were analysed published between 2001 and 2020. Studies were mainly conducted in Africa and Europe focussing on meat and vegetable chains. The results show a growing but dispersed field as studies hold a great conceptual diversity and theory building within the field of agri-food value chains is lacking. Based on our analysis we call for developing a coherent body of knowledge exploring the role of trust in agri-food value chains by: (1) employing a dynamic perspective on trust; (2) focussing on trust in agri-food value chain systems; and (3) focussing on the increasing importance of digitalisation for trust relations.

Public trust in water managers is often considered an important precondition for the effective implementation of sustainable water-management practices. Although it is well known that general public trust in government institutions is under pressure, much less is known in the literature on water governance whether such distrust also affects general and task-specific trust of the wider public in water managers. In addition, empirical studies on the determinants of such trust seem to be scarce. To fill those gaps, this study aims to measure general and task-specific public trust in water managers in the Netherlands and to assess how a selected group of potential determinants is related to general- and task-specific trust in water managers. To this end, we employ an original survey among a representative sample of the Dutch population (N = 2262). We find that trust in water managers in the Netherlands is generally high, but that it also comes with some task-specific variations. People have more trust in the flood-protection capacities of the water managers than in the capacities to successfully manage surface-water quality, nature conservation, and drought management. Using linear regression models, we subsequently find that individual-level variations in trust in water managers are best explained by one's general level of political trust. Additionally, we also show that both risk perceptions and self-evaluations of how informed people feel themselves about water management are important factors with (curvilinear) relations with trust in water managers. Overall, we conclude that water managers are under specific conditions able to build themselves well-established reputations and relatively high trust levels based on their performances. Nevertheless, trust development is far from entirely in the hands of the water managers themselves as we also conclude that trust evaluations of water managers are not immune from negative generalized political evaluations and public perceptions on water related risks.

This paper considers how learning for transformation of water governance in the context of climate change adaptation can be designed for and supported, drawing examples from the international climate change adaptation and water governance project (CADWAGO). The project explicitly set out to design for governance learning in the sense of developing elements of social infrastructure such as workshops, performances and online media to bring stakeholders together and to facilitate co-learning of relevance to governance. CADWAGO drew on a variety of international cases from past and ongoing work of the project partners. It created a forum for dialogue among actors from different contexts working at different levels and scales. The range of opportunities and constraints encountered are discussed, including the principles and practicalities of working with distributed processes of design and leadership of events. A range of concepts, tools and techniques were used to consider and facilitate individual and collective learning processes and outcomes associated with water governance in the context of climate adaptation. Questions were addressed about how elements of past, present and future water governance thinking and practice are connected and how multi-level systemic change in governance can take place. Some reflections on the effectiveness of the design for learning process are included. The nature of the contribution that projects such as CADWAGO can make in learning for transformation of water governance practices is also critically considered.

Trust is often seen as an important element in settings of knowledge sharing and the co-creation of knowledge for dealing with transformations in water governance. However, seemingly similar conversations during a co-creation workshop in Uppsala resulted in both trust and distrust, and thereby influenced consequent possibilities for the co-creation of knowledge. Therefore, this article focuses on how trust influences knowledge sharing and how knowledge sharing influences trust. We use a case study approach to analyze the Uppsala co-creation workshop—part of the Climate Change Adaptation and Water Governance (CADWAGO) project—by comparing 25 conversations, making use of theories on swift trust and trust dynamics. We found four different conversation patterns (1) sending; (2) defending; (3) misunderstanding; and (4) connecting. The first three patterns influenced trust negatively and did not lead to knowledge sharing, whereas pattern four showed trust development and co-creation of knowledge. From our comparative analyses, we conclude that trust starts to emerge when there is mutual openness and empathy visible in turn-taking patterns. More specifically, trust emerges when communication styles allow for recognition and exploring underlying needs and wishes, resulting in a more dynamic dialogue, further trust development, and connection between actors. Our list of conversation patterns is provisional but we argue that understanding how different kinds of interactions can lead to trust or distrust is crucial to understanding why and how learning takes place—insights that are essential for fostering learning and transformations in water governance.