8 pages, The use of digital technologies in agriculture offers various benefits, such as site-specific application, better monitoring, and physical relief. The handling of these technologies requires a specific skill set. Therefore, the question arises of when and how farm managers learn about digital technologies. Aiming to analyse the current situation, the present research investigated the role that digital technologies play in vocational training for future farm managers. Taking the example of farm management information systems (FMIS), the present study also analysed various predictors of adoption, including the effect of training. To investigate these research questions, an online survey among teachers and students of the farm management vocational programme across Switzerland was conducted in the spring of 2021. In total, 150 individuals participated, 41 of whom were teachers. Participants answered questions about the learning content in the farm management programme and their perception of digital technologies in general. Students further reported whether they already had a farm they would be managing in the future and how they perceived FMIS. The results indicate that both teachers and students are convinced that digital technologies play an important role in agriculture and will gain more importance in the future. A substantial part of 43% of the students who participated indicated that they had learned neither about digital technologies during their basic agricultural training nor the subsequent farm management programme. In terms of FMIS, 51% of the student sample indicated that they had never heard about FMIS during their agricultural training. While having learned about FMIS was not a significant predictor for adoption, gender, perceived ease of use, and intention to use more digital technologies in the future significantly predicted the adoption of FMIS. The paper concludes that, to support the adoption of digital technologies and FMIS specifically, training for future farm managers should focus on how to operate an FMIS to increase the perceived ease of use of this technology.
9 pages, via online journal, The overall willingness of smallholder farmers to adopt new green technologies remains low, in spite of the great progress made in understanding the factors that affect their decision. The present study introduces an interdisciplinary approach combining positive psychology and sustainable development studies to show that two personal resources – self-control (a learned repertoire of goal-directed skills that enable people to act upon their aims) and cognitive goal-oriented hope (the ability to follow different routes to pursue one's goal), prompt the adoption of technologies by smallholder farmers. Both personal resources facilitate achieving future goals and changing existing circumstances. A theoretical moderation model on the adoption of agricultural technologies aimed to protect soil degradation in Nepal is proposed and empirically tested. Data were collected from 268 households in the Jhapa district by a face-to-face questionnaire. A multiple regression analysis tested and confirmed the hypothesized moderation model. Following the discovery of a significant interaction, the nature of the interaction was farther explored by calculating simple slopes. Analysis results show a significant positive connection between self-control (p-value = 0.002), hope (p-value = 0.005), information (p-value < 0.001), and technology adoption. Self-control was also found to have a significant moderating effect in enhancing a positive association between receiving information and technology adoption (p-value = 0.017). In addition to its theoretical innovation and empirical contribution, the importance of this study lies in its practical implications, given that policy, education, and communication may influence hope and self-control levels.
10 Pages, As Thai farmers get older they need to plan what to do with their farm business and land given younger people tend to out-migrate to urban areas and shift their interests away from farming. Such demographic trends may reduce agricultural productivity and increase food insecurity, both among farmers and in the region. Using data collected through interviews with 368 farmers in the Prachin Buri province of Thailand, this research aims to examine how ageing is affecting farm activities of older farmers (60 years and older) and how they are adapting. We found that, while a small percentage of older farmers intended to continue farming without making any changes over the next five years (~9%), most were concerned about their health and farm work capacity, and were looking to leave farming and implement strategies to reduce both work intensity and time. Most farmers intended to stop farming and transfer farmland to their children (~40%), or continue farming while making some changes (~30%), such as employing additional workers or switching to less labour intense crops. Some intended to stop farming altogether and dispose of farmland outside their family (~21%; e.g. leasing out or selling or returning farmland to owner if leased). As expected, the chosen strategy depended on personal (old-age income security and gender) and farm characteristics (e.g. successor, farm activities, and subsidy). Having a dedicated successor had a substantial impact on transferring land to the children, reflecting the importance of commitment for farming by the next generation, which will be challenging. A pension higher than the widely available old-age allowance could support farmers in maintaining a better living standard after retiring. However, only a fraction of farmers currently had access to a pension. Both short- and long-term policies are, therefore, needed to support elderly farmers, improve their living standards after retirement, and attract young people back to farming.
