Enabling agricultural innovation systems to promote appropriate technologies and practices for farmers, rural youth and women during COVID-19

2020 ◽  
Keyword(s):  
Rural Youth ◽  
Innovation Systems ◽  
Agricultural Innovation ◽  
Agricultural Innovation Systems

scholarly journals Eco-efficiency and agricultural innovation systems in developing countries: Evidence from macro-level analysis

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0214115 ◽  
Author(s):  
Christian Grovermann ◽  
Tesfamicheal Wossen ◽  
Adrian Muller ◽  
Karin Nichterlein
Keyword(s):  
Developing Countries ◽  
Innovation Systems ◽  
Macro Level ◽  
Agricultural Innovation ◽  
Level Analysis ◽  
Agricultural Innovation Systems

Mediating technological learning in agricultural innovation systems

2006 ◽  
Vol 89 (1) ◽  
pp. 26-46 ◽  
Author(s):  
Stuart Morriss ◽  
Claire Massey ◽  
Ross Flett ◽  
Fiona Alpass ◽  
Frank Sligo
Keyword(s):  
Innovation Systems ◽  
Agricultural Innovation ◽  
Technological Learning ◽  
Agricultural Innovation Systems

scholarly journals Platform, Participation, and Power: How Dominant and Minority Stakeholders Shape Agricultural Innovation

2020 ◽  
Vol 12 (2) ◽  
pp. 461 ◽  
Author(s):  
Colleen M. Eidt ◽  
Laxmi P. Pant ◽  
Gordon M. Hickey
Keyword(s):  
Smallholder Farmers ◽  
Farming Systems ◽  
Innovation Systems ◽  
Small Scale ◽  
Power Dynamics ◽  
Agricultural Innovation ◽  
Stakeholder Groups ◽  
Institutional Contexts ◽  
Access And Quality ◽  
Agricultural Innovation Systems

Within agricultural innovation systems (AIS), various stakeholder groups inevitably interpret ‘innovation’ from their own vantage point of privilege and power. In rural developing areas where small-scale and subsistence farming systems support livelihoods, dominant policy actors often focus heavily on participatory modernization and commercialization initiatives to enhance productivity, access, and quality. However, existing social hierarchies may undermine the potential of such initiatives to promote inclusive and sustainable farmer-driven innovation. Focusing on the chronically food insecure smallholder agricultural systems operating in Yatta Sub-county, Eastern Kenya, this paper explores how power dynamics between stakeholders can influence, and can be influenced by, participatory agricultural innovation initiatives. Findings suggest that there are often significant disparities in access to, and control over, platform resources between smallholder farmers and other stakeholder groups, resulting in large asymmetries. We discuss how these power dynamics may increase the risk of agricultural intervention, further marginalizing already disempowered groups and reinforcing power hierarchies to the detriment of smallholders. This study highlights the need for a deeper understanding of the institutional contexts that facilitate and maintain relationships of power within agricultural innovation systems, as well as the complexities associated with promoting transformational agricultural innovation.

scholarly journals Reference framework for capabilities development in agricultural innovation systems

DYNA ◽  
2019 ◽  
Vol 86 (210) ◽  
pp. 23-34
Author(s):  
Efren Romero Riaño ◽  
Leidy Dayhana Guarin Manrique ◽  
Monica Gisela Dueñas Gómez ◽  
Luis Eduardo Becerra Ardila
Keyword(s):  
Research Training ◽  
Innovation Process ◽  
Innovation Systems ◽  
Organizational Capabilities ◽  
Capability Development ◽  
Dynamic Approach ◽  
Agricultural Innovation ◽  
Networks Analysis ◽  
Training Policy ◽  
Agricultural Innovation Systems

Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The dynamic approach of organizational capabilities development, is consolidated as a conceptual lens for AIS analysis, but not the systemic approach, which is considered emerging. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques. The networks analysis, the nonlinear perspective of innovation process and research, training, policy and brokering incidence over performance, are some of the main topics in common between AIS and capability development.

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