Participatory approaches have been discussed as alternatives to and complementary elements of more conventional research on sustainable land use and rural development in upland areas of Southeast Asia. Following a brief overview of the history of participatory approaches (Sect. 9.1), this chapter discusses the potential and limitations of applying Participatory Rural Appraisal (PRA) tools to field research practice in Vietnam (Sect. 9.2) and of involving stakeholders in priority setting, modeling and environmental valuation in the Southeast Asian uplands (Sect. 9.3).
Although many agronomic researchers currently focus on designing and developing decision support systems, they rarely discuss the methodological implications of such work. In this paper, with the examples of two decision support systems, we propose methodological elements for conducting the participatory design of such tools. The authors proposition aims at building dialogue between designers and users but also between humans, tools and work situations.
Innovations in the agri-food sector are needed to create a sustainable food supply. Sustainable food supply requires unexpectedly that densely populated regions remain food producers. A Dutch innovation program has aimed at showing the way forward through creating a number of practice and scientific projects. Generic lessons from the scientific projects in this program are likely to be of interest to agricultural innovation in other densely populated regions in the world.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
This paper characterises some of the main issues confronting water-catchment managing in a climate-changing world and addresses wide-spread concerns about the lack of connectivity between science, policy making and implementation. The paper’s arguments are ‘framed’ within a paradigm of systemic and adaptive governing, regulating, planning and managing understood as a nested systemic hierarchy. It is argued that climate change adaptation is best understood as a coevolutionary dynamic, principally, but not exclusively between human beings and the biophysical world.
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.
The failure of the linear and non-participatory Agricultural Research and Development approaches to increase food security among smallholder farmers in sub-Saharan Africa has prompted researchers to introduce an Integrated Agricultural Research for Development (IAR4D) concept. The IAR4D concept uses Innovation Platforms (IPs) to embed agricultural research and development organizations in a network to undertake multidisciplinary and participatory research.
Understanding diversity of smallholder farm households is of critical importance for the success of development interventions. Farming households often will devise livelihood strategies that provide the best guarantee for survival and based on their socioeconomic vulnerability. This study examines how achievements from the Integrated Agricultural Research for Development (IAR4D) approach through participation in innovation platform activities accrue to smallholder farming households of diverse socioeconomic status.
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 connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
Accordingly to the authors It is beyond the scope of this chapter to empirically explore the determinants of the commercialization of agriculture and its impact on poverty; so instead, they will present and discuss some empirical evidence on topics that remain hotly debated regarding commercialization and poverty. In Sect. 12.2, it is investigated how smallholder farmers in northern Vietnam have been affected by the recent food price volatility with respect to their income and consumption levels, while in Sect.