Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/281627 
Year of Publication: 
2022
Citation: 
[Journal:] Amfiteatru Economic Journal [ISSN:] 2247-9104 [Volume:] 24 [Issue:] 59 [Year:] 2022 [Pages:] 159-172
Publisher: 
The Bucharest University of Economic Studies, Bucharest
Abstract: 
Urban agriculture is a nature-based solution recommended for the regeneration and adaptation of urban areas to climate change, in consonance with the European Green Deal. Nevertheless, for the development of urban agriculture, the availability, access and usability of cultivable land in urban areas is of particular concern. This study aimed to use the digital agricultural data geographic information system AGRO-GIS to calculate and predict potential urban agriculture from abandoned horticultural lands and greenhouses in urban areas. In doing so, the variation of agrarian land in urban areas was calculated. A binary logistic regression modelled abandoned horticultural land and greenhouses in urban areas to obtain the determinant factors for potential urban agriculture. Then, an analysis of variance (ANOVA) was used to obtain significant differences in the variation of the agrarian land among urban areas. Results show that an average of 97.85 ha of abandoned horticultural land and greenhouses can provide potential urban cultivable land in cities. The variation of non-irrigated lands and grasslands-shrublands are determinant for potential urban agriculture. A hectare decrease in non-irrigated lands is associated with an 87.98% increase in the odds of potential urban agriculture. An increase of a hectare of grasslands-shrublands increases the likelihood of potential urban agriculture by 67.59%. Furthermore, it is concluded that differentiated planning and management of urban agriculture by urban areas is needed. This study can help urban planners to manage, plan and predict cultivable land for urban agriculture.
Subjects: 
Potential urban agriculture
land use
binary logistic regression
citizens' well-being
city climate change adaptation
societal demand
JEL: 
R11
R14
R52
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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