Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP) model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM) was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income.
This paper presents empirical evidence on the effects of information asymmetry in input markets on the adoption of innovations and agricultural land use in rainfed districts of Khyber Pakhtunkhwa, Pakistan. Farmers’ input market integration may contribute to innovation and adoption among farmers, which may in turn positively influence the sustainable use of agricultural land. To examine this hypothesis, was conducted a study with farmers and input providers to assess the potential constraints on quality inputs, prices, and extension information.
There is great untapped potential for farm mechanization to support rural development initiatives in low- and middle-income countries. As technology transfer of large machinery from high-income countries was ineffective during the 1980s and 90s, mechanization options were developed appropriate to resource poor farmers cultivating small and scattered plots. More recently, projects that aim to increase the adoption of farm machinery have tended to target service providers rather than individual farmers.
This special issue contains contributions from 42 authors representing 21 organizations and institutes around the world. Overall, the publication presents a number of innovations related to the key elements of climate risk management and resilience building in agriculture. The approaches, tools and methods are illustrated with case studies and examples from different parts of the world. While the innovations presented are not without certain limitations, any such limitations are identified and discussed, and recommendations are made for future research.
Developing irrigation technology for a diversity of farmers with rapidly changing demands can be hard for designers, especially when the technology concerns smallholders in developing countries. Innovation networks supporting the adopted technology increasingly include both globalised players and very local actors, making innovation intermediaries capable of translating innovation issues for different actors increasingly indispensable.
This paper introduces Rapid Appraisal of Agricultural Innovation Systems (RAAIS). RAAIS is a diagnostic tool that can guide the analysis of complex agricultural problems and innovation capacity of the agricultural system in which the complex agricultural problem is embedded. RAAIS focuses on the integrated analysis of different dimensions of problems (e.g. biophysical, technological, socio-cultural, economic, institutional and political), interactions across different levels (e.g.
Parasitic weeds such as Striga spp and Rhamphicarpa fistulosa in smallholder rice production systems form an increasing problem for food and income security in sub-Saharan Africa. In this paper we implement the Rapid Appraisal of Agricultural Innovation Systems (RAAIS) as a diagnostic tool to identify specific and generic entry points for innovations to address parasitic weeds in rain-fed rice production in Tanzania. Data were gathered across three study sites in Tanzania where parasitic weeds are eminent (Kyela, Songea Rural and Morogoro Rural districts).
his paper draws on the transition literature to examine niche-regime interaction. Specifically it aims to reveal and contribute to an understanding of the processes that link sustainable agriculture innovation networks to the agricultural regime. It analyses findings from participatory workshops with actors in 17 Learning and Innovation Networks for Sustainable Agriculture (LINSA) across Europe. Framing linkage as an adaptive process, whereby regime actors and entities adapt to incorporate LINSA, and vice versa, reveals different patterns and processes of adaptation.
This paper reviews the NIS literature chronologically, showing how this shift in emphasis has diminished somewhat the importance of both institutions, particularly governments, and the political processes of institutional capacity building.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated.