Testing indicators of resilience for rural communities

Kaye‐Blake, William; Stirrat, Kelly; Smith, Matthew J.; Fielke, Simon

doi:10.1080/10371656.2019.1658285

Cited by 16 publications

(9 citation statements)

References 40 publications

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“…Meanwhile, Rela et al [1] tested the dimensions of community action; collective orderliness; and community, social and environmental adaptation. In the context of community resilience in rural areas, Payne et al [38] and William Kaye-Blake et al [12] identified and assessed the resilience dimensions and thresholds in New Zealand with five dimensions, namely, social, economic, cultural, environmental, and institutional. Brown and Westaway [11] added the dimensions of Community Competence, Mobility, Information and Communication in addition to socio-economy in a study of agency, capacity, and resilience to environmental change: lessons from human development, well-being, and disasters.…”

Section: Dimension Of Community Resiliencementioning

confidence: 99%

“…Then, Walton [67] divided these resources into five dimensions, namely: (1) strategic thinking (planning, visioning, leadership, positioning, learning, harnessing and using information, succession planning); (2) links within communities and bridging links to the community; (3) effective use of resources; (4) commitment and perseverance; and (5) trusting and respectful relationships (e.g., trust, openness, transparency, and mutual respect). Payne, et al [38] and William Kaye-Blake et al [12] identified and assessed the five dimensions of community resilience, namely, social, economy, culture, environment, and institutions, whereas Brown and Westaway [11] used social and cultural dimensions, economic development, community competence, mobility, information, and communication. The latest article from Rela et al [1] examined the dimensions of community action, collective orderliness, and community adaptation.…”

Section: Construction Of Model and Instrumentmentioning

confidence: 99%

“…Economic development, community competence, social capital, and information and communication are needed to increase community resilience. Kaye-Blake, Stirrat, Smith and Fielke [12] stated that community resilience tends to be more influenced by economic and institutional drivers rather than social, cultural, or environmental ones. The research was conducted using mixed qualitative and quantitative methods.…”

Section: Introductionmentioning

confidence: 99%

“…The research was conducted using mixed qualitative and quantitative methods. Mixed methods are useful in policy-based research [13] and resilience research [12]). Meanwhile, Tambo and Wünscherv [14] reported the measurement of climate resilience by measuring household resilience in terms of climate shocks and by assessing the role of farmer innovations in enhancing climate resilience with equal and unequal weights.…”

Section: Introductionmentioning

confidence: 99%

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Formation of Farming Community Resilience Models for Sustainable Agricultural Development at the Mining Neighborhood in Southeast Sulawesi Indonesia

et al. 2021

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Although the exploration of mineral resources and industry can promote economic development, it can also threaten the resilience and well-being of the environment, health, ecosystems, and the comfort of surrounding communities. Therefore, business entities, through corporate social responsibility (CSR) or other activities, can function to balance negative impacts and strengthen sustainable development that can increase the resilience and welfare of the surrounding community. This study aims to develop a resilience model of the local farming community resilience (FCR), which supports the sustainability of agricultural development. The research will be carried out in a community in Southeast Sulawesi, Indonesia. This study measures the resilience of the farmers’ community. To obtain models and instruments that are valid and reliable, the instrument is tested on 295 respondents in 10 villages adjacent to the nickel mining industry using the Partial Least Square-Structural Equation Modelling (PLS-SEM). Out of the 17 items, five dimensions (e.g., economic, social capital, environmental, community competence, and information and communication) are proposed to measure the FCR. Thus, this work presents a complete scale development and can provide policies for governments, particularly in Indonesia. Moreover, the FCR scale might be utilized by different entities (e.g., NGOs, open experts and social group media) to determine the view of genuine clients regarding the association’s CSR execution.

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Section: Dimension Of Community Resiliencementioning

confidence: 99%

Section: Construction Of Model and Instrumentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Formation of Farming Community Resilience Models for Sustainable Agricultural Development at the Mining Neighborhood in Southeast Sulawesi Indonesia

et al. 2021

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“…While much literature omits the definition of an indicator but focuses straight on its qualities, Kaye-Blake et al ( 26 ) define an indicator as a “relevant variable, measurable over time and/or space that provides information on a larger phenomenon of interest and allows comparisons to be made.” Hence, community indicators quantify different aspects of community characteristics over time. The implementation and integration of health promotion principles into the prevention and management of mental health problems depends upon a good understanding of the specific social and physical indicators regarding the individual and its (health) context ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

Community indicators for mental health in Europe: a scoping review

Schoenweger,

Kirschneck,

Biersack

et al. 2023

Front. Public Health

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BackgroundCommunity indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context.MethodsWe conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered.ResultsIn total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56).ConclusionThis review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.

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Tracing the Impact and Contribution of the “Six Attributes of Social Resilience”

Maclean,

Witt

2023

Rural Development for Sustainable Social-Ecological Systems

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Testing indicators of resilience for rural communities

Cited by 16 publications

References 40 publications

Formation of Farming Community Resilience Models for Sustainable Agricultural Development at the Mining Neighborhood in Southeast Sulawesi Indonesia

Formation of Farming Community Resilience Models for Sustainable Agricultural Development at the Mining Neighborhood in Southeast Sulawesi Indonesia

Community indicators for mental health in Europe: a scoping review

Tracing the Impact and Contribution of the “Six Attributes of Social Resilience”

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