Urban farming model innovation with vegetable alley system to support sustainable urban agriculture governance evidence in Yogyakarta City, Indonesia
Year: 2025
Type: article
Study design: Observational Study
Abstract: One innovative solution in the development of urban agriculture is the vegetable alley, which utilizes narrow spaces in alleys or residential pathways for cultivating food crops, ornamentals, and medicinal plants. This study aims to analyze and explain the management of urban agriculture through vegetable alley activities in Yogyakarta City. The research involved 80 respondents selected using a Simple Random Sampling method, with data collected through questionnaires. Data analysis was conducted using Descriptive Analysis and the Spearman Rank Correlation Test. The results indicate that the management of vegetable alley in Yogyakarta falls into the “good” category, covering aspects of planning, organizing, mobilizing, and controlling activities. Furthermore, correlation analysis identified five factors significantly related to urban agriculture management through vegetable alley: farming experience, the role of extension workers, the role of group leaders, member participation, and knowledge. Meanwhile, education level showed no significant relationship with vegetable alley management. Importantly, the implementation of vegetable alley as form of urban agriculture contributes to climate change mitigation by increasing green cover, enhancing carbon sequestrations, and promoting localized food production that reduces the carbon footprint from food transportation. Therefore, strengthening vegetable alley management requires enhancing member capacity, increasing the active roles of extension workers and group leaders, and reinforcing participation so that it can serve as a sustainable model of urban agriculture and support climate adaptation and resilience in urban communities.
Authors: Retno Wulandari, Alvira Indriani
Institution: Muhammadiyah University of Yogyakarta
Language: English
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7117248661
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