The nature of interactions between farmers and advisors is the focus of a growing body of research. While many studies explore the potential role of advisors in facilitating farmers' practice change in practices related to agricultural production such as soil, water, pest and animal health management, studies that specifically investigate how advisors support farmers with financial management (FM) are limited. The contribution this paper makes is to identify who farmers' FM advisors are and to shed light on how farmer-advisor interactions about FM are shaped. Semi-structured interviews with both farmers and a range of advisors (bankers, accountants, farm management consultants, specialist financial advisors and industry funded advisors) were conducted. The main findings are that farm financial information and FM are considered to be sensitive topics and being good at FM is not central to farmers' identity (relative to e.g. production management)
The focus of this paper is on how the institutional arrangements within the on-farm sector of the New Zealand dairy industry influence industry participants and encourage them to be innovative, in the context of industry productivity goals. The authors will...
The two strategic documents for the future of Europe post 2020 (Green Deal) and agriculture in Europe (From Farm To Fork) recognize the important role of knowledge and innovation systems in accelerating change towards food sustainability. Researchers and advisors, together...
This paper highlights important lessons for co-innovation drawn from three ex-post case study innovation projects implemented within three sub-sectors of the primary industry sector in New Zealand. Design/methodology/approach: The characteristics that fostered co-innovation in each innovation project case study were...
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network...
This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) in relation to the AIS capacity to enact a co-innovation approach, in which all relevant actors in the agricultural sector contribute to combined technological, social and institutional...