2019
DOI: 10.1108/s0895-993520190000026011
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Urban Agriculture, Revalorization, and Green Gentrification in Denver, Colorado

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Cited by 47 publications
(34 citation statements)
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“…Furthermore, the revaluation of city districts through urban agriculture can attract wealthy residents to working-class neighborhoods. Consequently, this may result in 'green gentrification' which is characterized by increased housing pressure and displacement of long-time residents and urban farmers [60].…”
Section: Social Sustainabilitymentioning
confidence: 99%
“…Furthermore, the revaluation of city districts through urban agriculture can attract wealthy residents to working-class neighborhoods. Consequently, this may result in 'green gentrification' which is characterized by increased housing pressure and displacement of long-time residents and urban farmers [60].…”
Section: Social Sustainabilitymentioning
confidence: 99%
“…In practice, organizations must strategize ways to access land for their work. For organizations engaged in urban agriculture, this is especially challenging as food production can rarely compete with housing or upscale new retail [43]. Urban agriculture sits uneasily with market incentives to make money, which can mean reducing land access costs by collaborating with developers and institutions such as schools, churches, or businesses.…”
Section: Resource Exchange Empowerment and Constraintmentioning
confidence: 99%
“…Development organizations, for example, often offered land, funding, and other key resources to help start and expand organizations. We also found that development organizations could undermine local food production by contributing to the gentrification of low-income neighborhoods with appeals to the middle-class tastes of ‘green’ living with urban gardens (Sbicca, 2019). The resources offered by development organizations as key network brokers, in the capacity of occupying a development niche within the collaboration network, both provided opportunities for some organizations to achieve their missions, and hindered others.…”
Section: Iteratively Learning To Map and Interpret Movement Collaboramentioning
confidence: 89%