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Impetus of urban horticulture on open spaces: case of Mutare City Basera, Vitalis; Chakaipa, Absai; Dube, Phamella
Journal of Social, Humanity, and Education Vol. 1 No. 1 (2020): November
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jshe.v1i1.283

Abstract

Purpose: To understand the impetus of urban horticulture in the Mutare city with explicit motivation on low density areas. Research methodology: The investigation was quantitative in nature, and used a random sample of urban farmers in Mutare city low density areas. The Statistical Package for Social Scientist (SPSS Version 23) was used to analyse data from the questionnaires. Results: The results reveal that Mutare urban agricultural activities are driven by the need for food self-sufficient, income generation and utilisation of urban open spaces. Limitations: The research had limitations on the sample size and also needed to factor in other multiple response questions. Contributions: The findings are useful to urbanites, urban planners, developmental agents and authorities in the development of urban agriculture. Keywords: Urban horticulture, Urban agriculture, Mutare, Impetus, Food security
Modelling association between two Multiple Response Categorical Variables (MRCV) using generalized log-linear models: the case of urban agriculture in Mutare City Chakaipa, Absai; Basera, Vitalis; Dube, Phamella
Journal of Social, Humanity, and Education Vol. 1 No. 2 (2021): February
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jshe.v1i2.401

Abstract

Purpose: This research aimed to apply log-linear modelling to model association between multiple response categorical variables (MRCV) on urban agriculture and enhance data analysis of the paper by Basera, Chakaipa, & Dube (2020) impetus of urban agriculture on open spaces of Mutare City. Research methodology: The research data was obtained from households and farmers in Mutare City - urban and peri-urban (inclusive of plots in Weirmouth Park and Fern Valley area in December 2020. A total of one hundred and fifteen (115) household farmers were surveyed. Results: Simultaneous Pairwise Marginal Independence (SPMI) tests revealed the presence of associations. Log-linear tests revealed a perfect fit based on small standardized Pearson residuals and a strong positive association based on observed and model-predicted odds ratios on-field agricultural activities and use of herbicides. Log-linear and further application of heterogeneity tests revealed partial and near no perfect fit in other pairs of MRCVs with a strong negative association between municipality vacant places and field agricultural activities. Limitations: The research could not carry out log-linear model associations of three or more MRCVs because files exceeded 2GB in memory on both MI.test () function for SPMI tests and genloglin regressions. Contribution: The study contributes to urban agriculture planning especially in enactment of urban agriculture laws, agriculture one stop shop business centers housing farm input supply shops, farm produce shops, and determining fit support that can be rendered to urban farmers. Keywords: Multiple Response Categorical Variables (MRCV), Association, Urban agriculture