Building agricultural innovation capacity from the bottom up: Using spillover effects from projects to strengthen agricultural innovation systems

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Jekaterina Markow , Andrew F. Fieldsend , Susanne von Münchhausen , Anna Maria Häring
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引用次数: 2

Abstract

CONTEXT

Current research emphasises that agricultural innovation projects are influenced in multiple ways by the Agricultural Innovation Systems (AIS) in which they operate. Yet little attention has been paid to the reverse direction of this relationship, i.e. how agricultural innovation projects affect AIS in the course of their innovative activities. Accordingly, there are currently no tools to measure such AIS spillovers from agricultural innovation projects.

OBJECTIVE

This paper shows that even where agricultural innovation projects have not been designed with the explicit aim of influencing AIS they can have spillovers on the AIS in which they operate. Based on this finding, it argues that designing agricultural innovation projects in a way that maximises such positive and reduces negative AIS spillovers would be a useful tool for strengthening agricultural innovation capacities in a particular territory or sector.

METHODS

Based on the concept of agricultural innovation projects as Organisational Innovation Systems (OIS) that are embedded in AIS, the paper develops an analytical framework for assessing spillovers of such projects on AIS and applies it to a case study of an Operational Group in the German Federal State of Hessen.

RESULTS AND CONCLUSIONS

The case study shows that agricultural innovation projects may yield diverse spillovers on the AIS in which they operate. In addition to considering how agricultural innovation projects are shaped – constrained and/or enabled – by AIS, the research community on agricultural innovation should pay more attention to this side of the interrelation of AIS and agricultural innovation projects. Designing agricultural innovation projects responsibly so that spillovers on AIS are monitored can help to improve national or sectoral AIS.

SIGNIFICANCE

This paper points to an underexplored issue in research on agricultural innovation and, related to this, a thus far unused potential policy tool for improving national and sectoral AIS. It further develops the concept of innovation projects as OIS into an approach for assessing the effects of projects on AIS; an area of project assessment that until now has not been adequately covered.

Abstract Image

自下而上构建农业创新能力:利用项目溢出效应加强农业创新体系
当前的研究强调,农业创新项目在多个方面受到其运作的农业创新系统(AIS)的影响。然而,人们很少关注这种关系的相反方向,即农业创新项目在其创新活动过程中如何影响AIS。因此,目前还没有工具来衡量农业创新项目的AIS溢出效应。目的本文表明,即使农业创新项目的设计目的不是明确影响AIS,它们也可能对其运作的AIS产生溢出效应。基于这一发现,它认为,以最大限度地扩大这种积极影响并减少消极AIS溢出的方式设计农业创新项目,将是加强特定地区或部门农业创新能力的有用工具。方法基于农业创新项目作为嵌入AIS的组织创新系统(OIS)的概念,本文建立了一个评估农业创新项目对AIS溢出效应的分析框架,并将其应用于德国联邦黑森州一个运营小组的案例研究。结果和结论该案例研究表明,农业创新项目可能会对其运营的AIS产生不同的溢出效应。除了考虑农业创新项目是如何被AIS塑造——约束和/或促成的之外,农业创新研究界还应该更多地关注AIS与农业创新项目相互关系的这一方面。负责任地设计农业创新项目,以监测AIS的溢出效应,有助于改善国家或部门AIS。忽视本文指出了农业创新研究中一个未被充分探索的问题,以及与此相关的一个迄今尚未使用的改善国家和部门AIS的潜在政策工具。它进一步将创新项目作为OIS的概念发展为评估项目对AIS影响的方法;到目前为止还没有充分涵盖的项目评估领域。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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