完善全球南部农粮系统包容性创新进程的中程理论

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-10 DOI:10.1016/j.agsy.2024.104053
Elizabeth Hoffecker , Eunhae Lee
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引用次数: 0

摘要

摘要随着人们对促进、资助和调查全球南部农粮系统包容性创新过程的兴趣日益浓厚,出现了对能够描述这些过程在不同背景下的主要特征和因果动态的中程理论的需求。目标本文通过对厄瓜多尔安第斯山区小农社区包容性创新过程的案例研究,检验并完善了现有的全球南部农业食品系统包容性创新过程的中程理论,从而推动了理论建设。为了开展案例研究,我们进行了主要的定性研究,包括访谈、非正式的个人交流和文件审查。数据分析分两个阶段进行:在第一阶段,我们制定了案例的时间轴和因果叙述;在第二阶段,我们进行了归纳和演绎的主题分析。我们的分析还揭示了更多的要素类别,包括过程投入、初始环境条件和行为者层面的机制,这些要素在案例中非常突出,但在现有理论中却被忽略了。与现有的中层模型相比,本案例还揭示了一种更加细致入微、分阶段的因果动态,并将中间试验结果确定为边界对象,从而扩大了创新过程的包容性,并触发了现有理论所预测的因果动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Refining a middle-range theory of inclusive innovation processes in agrifood systems in the Global South

CONTEXT

As interest grows in facilitating, funding, and investigating inclusive innovation processes in agrifood systems in the Global South, a need has emerged for middle-range theory that can describe the key features and causal dynamics of these processes across diverse contexts.

OBJECTIVE

This paper advances theory-building by testing and refining an existing middle-range theory of inclusive innovation processes in agrifood systems in the Global South through a case study of an inclusive innovation process involving smallholder farming communities in the Ecuadorian Andes.

METHODS

We used a case study replication design to test the initial theory. To develop the case study, we conducted primary qualitative research, including interviews, informal personal communications, and document reviews. Data analysis was conducted in two phases: in the first phase, we developed a timeline and causal narrative of the case and in the second phase, we conducted inductive and deductive thematic analysis.

RESULTS AND CONCLUSIONS

We find that each component of the existing middle-range model played an important role, as predicted, in the inclusive innovation process described in the case study. Our analysis also reveals additional component categories, including process inputs, initial contextual conditions, and actor-level mechanisms, that featured prominently in the case but were omitted from the existing theory. The case also revealed a more nuanced, phased causal dynamic than that described in the existing middle-range model and identified intermediate pilot results as boundary objects that expanded the inclusivity of the innovation process and triggered the causal dynamics predicted by the existing theory.

SIGNIFICANCE

Our findings inform a revision to the existing mid-level model, contributing to building an empirically validated theory of how inclusive innovation processes unfold in agrifood systems that sheds light on specific features of these processes that are important for promoting inclusivity.

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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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