Perceived resilience of community supported agriculture in Germany

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-19 DOI:10.1016/j.agsy.2024.104068
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Abstract

Context

Amid an uncertain future with increasing environmental, economic, social, and institutional challenges, farmers in Germany need to find strategies to become more resilient through capacities of robustness, adaptability, and transformability. Parallel to that, Community Supported Agriculture (CSA), an alternative food and value chain network in which producers and consumers share the risks involved in farming, is rapidly spreading in the country. CSA has the potential to address sustainability concerns while at the same time improving farm resilience.

Objective

The main objective of this study is to provide an understanding of how a CSA-structure on a farm may impact farm resilience. It also aims to investigate how CSA farmers in Germany perceive the resilience of their farms, its functions, and the challenges they may face in the future.

Methods

A mixed methodology was applied, consisting of a case study with one CSA farmer following the approach for a resilience assessment developed by Meuwissen et al. (2019), and a survey with CSA farmers from Germany. The case study involved an in-depth interview, a resilience perception assessment and a Fuzzy-Cognitive-Mapping workshop, whose results were used as a starting point for developing the survey.

Results and conclusion

The case study revealed mechanisms for improving farm resilience through CSA, particularly through increased income security, risk protection, market independence, and satisfaction. These same resilience improving mechanisms could also be identified among the surveyed CSA farmers. Overall, CSA farmers showed a high level of perceived resilience in comparison to non-CSA farmers from a similar survey in a different study.

Significance

The study is the first of its kind to analyze CSA farmers in Germany through the lens of farm resilience theory. The study provides first insights to how transitioning to CSA affects the perceived resilience of farmers as well as underlying motivations. The results provide a strong indication that CSA could offer a viable strategy to help combat the resilience crisis, shedding thus a positive light on the current spread of the movement in Germany.

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德国社区支持农业的复原力感知
背景在环境、经济、社会和制度挑战不断增加的不确定未来中,德国的农民需要找到战略,通过提高稳健性、适应性和可改造性来增强复原力。与此同时,"社区支持农业"(CSA)正在德国迅速蔓延,这是一种替代性的食品和价值链网络,生产者和消费者在其中分担农业风险。本研究的主要目的是了解农场的 CSA 结构会如何影响农场的恢复能力。本研究还旨在调查德国的 CSA 农户如何看待其农场的恢复力、农场的功能以及未来可能面临的挑战。研究采用了混合方法,包括按照 Meuwissen 等人(2019 年)开发的恢复力评估方法对一位 CSA 农户进行的案例研究,以及对德国 CSA 农户进行的调查。案例研究包括深入访谈、复原力认知评估和模糊认知绘图研讨会,其结果被用作制定调查的起点。结果和结论案例研究揭示了通过 CSA 提高农场复原力的机制,特别是通过提高收入保障、风险保护、市场独立性和满意度。在接受调查的 CSA 农民中也可以发现这些提高抗灾能力的机制。总体而言,在另一项研究的类似调查中,与非 CSA 农户相比,CSA 农户表现出较高的感知复原力。该研究首次揭示了向 CSA 转型如何影响农民的抗逆力认知以及潜在动机。研究结果有力地表明,CSA 可以提供一种可行的策略来帮助应对复原力危机,从而为这一运动目前在德国的传播提供了积极的启示。
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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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