2015
DOI: 10.1007/s11252-015-0489-x
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Resilient food systems: a qualitative tool for measuring food resilience

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Cited by 59 publications
(50 citation statements)
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“…The practices adopted by social enterprises are capable of increasing resilience as well as sustainability. The community building, the increase in flexibility, social networks and trust, and the democratic decision-making resonate with the descriptions of resilient food systems [3,[47][48][49][50]. The resilience-building of social enterprises allows them not only to emerge but also to persist in their urban food systems, while resisting the pressures of globalised markets.…”
Section: Reduction Of Impacts (Food Waste Packagingmentioning
confidence: 85%
“…The practices adopted by social enterprises are capable of increasing resilience as well as sustainability. The community building, the increase in flexibility, social networks and trust, and the democratic decision-making resonate with the descriptions of resilient food systems [3,[47][48][49][50]. The resilience-building of social enterprises allows them not only to emerge but also to persist in their urban food systems, while resisting the pressures of globalised markets.…”
Section: Reduction Of Impacts (Food Waste Packagingmentioning
confidence: 85%
“…The subjective assessment of resilience was based on farmers' perceptions of (1) the sensitivity of their farming systems to increased salinity intrusion, (2) the capacity of their farming 2014Fixed framing of resilience and standardization of measurements across respondents, easy to compare across households and stratified groups (Jones 2019) Difficult to measure intangible characteristics of resilience (Clare et al 2017), hard to understand the drivers of resilience, risk of using the same set of indicators for resilience measurement of individuals or systems with different cultural background and social-ecological settings (Jones 2019) Explanatory/qualitative research using focus group discussions, indepth interviews, and so forth Toth et al (2016), Ungar (2003) Accounts for the researcher bias in the selection of resilience factors and the specific socio-cultural context in which resilience occurs (Ungar 2003) Methodological looseness, key informant type approaches, difficult to generalize to the whole population (Maxwell et al 2015) Subjective resilience using a household survey Béné et al 2016 2017Bottom-up and participatory approach, removing the external and predefined resilience indicators, reducing the questionnaire burden, improving understanding of determinants of resilience, and enabling cross-cultural comparison of resilience (Clare et al 2017, Jones 2019 Cognitive bias in the answers (Tanner et al 2015, d'Errico et al 2018 and little evidence of their validity and use for policy and practice until now (Beauchamp et al 2019) Combining qualitative and quantitative approaches in resilience measurement Beauchamp et al 2019, Ungar and Liebenberg (2011) Depending on the degree of qualitative or quantitative use, a mixed method approach can provide complementary information and improve an understanding of drivers of resilience (Maxwell et al 2015) Challenging to synthesize information into one analysis (Maxwell et al 2015) systems to recover from salinity damage, and (3) the capacity to change their farming systems to other systems if salinity increases in the future. Following the study of Jones and Tanner (2017), a single question with a 5-point Likert scale was asked to address each resilience component: 1To what extent is your farming system affected if salinity intrusion increases?…”
Section: Structured and Semistructured Interviewsmentioning
confidence: 99%
“…Food systems are complex socio-ecological systems operating at multiple scales (Toth et al, 2016) and evolve through the choices of society. Agri-food systems describe how their interactions are dynamic and vulnerable to short term situations and long term stresses like climate change (Thompson and Scoones, 2009).…”
Section: Agri-food Systemsmentioning
confidence: 99%