农业食品系统干预措施的复杂性意识原则:项目遭遇复杂性的经验教训

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Costanza Conti , Andrew Hall , Alastair Orr , Caroline Hambloch , Kai Mausch
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引用次数: 0

摘要

复杂性长期以来一直被认为是农业食品系统的一个关键特征。本文确定并研究了项目中可能出现的六种复杂性来源,即:不可预测性、路径依赖性、特定背景动态、权力关系、多重时空尺度。然后,论文提出并检验了六项农业食品系统原则,这些原则可用于更成功地驾驭这种复杂性。本文旨在说明这些原则如何帮助项目以不同的方式应对农业食品系统不断变化的环境和不可预测的转折,从而灵活地应对复杂性。方法对国际农业研究磋商小组实施的六个项目进行比较案例研究分析:马拉维落花生黄曲霉毒素控制项目(1)、东部和南部非洲鸽子豆项目(2)、肯尼亚高粱啤酒项目(3)、印度生物燃料甜高粱项目(4)、乌干达和肯尼亚预煮豆项目(5)、印度和东部非洲智能食品项目(6)。这些项目要么旨在增加小农收入,要么旨在解决粮食和营养安全问题,或者两者兼而有之。之所以特别选择这些项目,是因为它们都受到一些复杂性来源的影响,这些来源在不同程度上阻碍了项目的实施。因此,这些案例不仅可以说明复杂性的表现形式,还有助于思考解决复杂性的替代战略。 结果与结论 对案例研究的分析揭示了复杂性如何在多个方面阻碍发展干预目标的实现。分析还有助于讨论如何通过应用一套拟议的农业食品系统原则来更成功地驾驭复杂性(在所选案例之内,但也在所选案例之外)。本报告还提出了这些原则,作为未来干预措施避免固守 "已知有效 "的方法,而是大胆探索更有力的变革途径的途径:提出了以下具有复杂性意识的原则:欢迎惊喜并公开讨论权衡问题;避开正统观念;参与具体环境;揭露权力模式;接受变革的长期性;理解农业食品系统环境的多尺度(空间和时间)性质。项目设计者和实施者可以利用这些原则来应对农业食品系统干预措施中不可避免地会遇到的复杂性和不确定性,这些原则已不容忽视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Complexity-aware principles for agri-food system interventions: Lessons from project encounters with complexity

Complexity-aware principles for agri-food system interventions: Lessons from project encounters with complexity

CONTEXT

Complexity has long been recognised as a key feature of agri-food systems. Yet, it remains largely theoretical or poorly addressed in practice, hampering the potential of international development projects to address agriculture and food-related challenges in the Global South.

OBJECTIVE

The paper identifies and examines six sources of complexity that can manifest in projects, namely: unpredictability; path dependencies; context-specific dynamics; power relations; multiple temporal and spatial scales. It then proposes and tests six agri-food system principles that could be drawn upon to more successfully navigate this complexity. The aim of the paper is to illustrate how these principles could help projects respond to the changing circumstances and unpredictable turns of agri-food systems contexts in a different way, which flexibly embraces complexity. This flexibility is essential in an age of uncertainty and transformation.

METHODS

Comparative case study analysis of six projects implemented by the CGIAR: aflatoxin control in groundnuts in Malawi (1), pigeonpea in Eastern and Southern Africa (2), sorghum beer in Kenya (3), sweet sorghum for biofuel in India (4), precooked beans in Uganda and Kenya (5), Smart Foods in India and Eastern Africa (6). The projects aimed to either increasing smallholder farmers' incomes or addressing food and nutrition security, or both. They were specifically selected as all they were affected by some of the sources of complexity, which hampered the projects to different extents. This makes the cases relevant for not only illustrating manifestations of complexity, but also help reflect on alternative strategies to tackle it.

RESULTS AND CONCLUSION

The analysis of the case studies reveals how complexity can frustrate objectives of development interventions under several aspects. It also serves to discuss how complexity can be more successfully navigated (within but also beyond the selected cases) by applying the set of proposed agri-food system principles. The principles are also presented as ways future interventions could avoid clinging to what is “known to work” and instead venture into more powerful pathways of change.

SIGNIFICANCE

The following complexity-aware principle are proposed: Welcome surprises and openly discuss trade-offs; Shun orthodoxies; Engage with context-specificity; Expose patterns of power; Embrace the lengthy nature of change; Understand the multi-scale (in terms of space and time) nature of agri-food systems contexts. These principles could be used by project designers and implementors to cope with the complexity and uncertainty that will inevitably be encountered in agri-food system interventions, and can no longer be ignored.

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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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