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Modeling community garden participation: how locations and frames shape participant demographics

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Abstract

Ample research documents the health benefits of community gardens, but our understanding of the factors shaping gardener participation is limited. Neighborhood demographics and garden frames have each been theorized to play a role in shaping who participates in community gardens. Yet, our understanding of the interplay between these factors is underdeveloped and this body of work lacks consideration of the racial and class makeup of gardeners on a large scale. With a nation-wide survey that includes measures of gardener demographics (N = 162), the present study considers the extent to which community garden frames and locations simultaneously shape participant demographics. I combine these factors into a conceptual model explaining community garden participation as an iterative process of framing, accessibility, and representation, all situated within a garden’s surrounding community. Results show some base correlations between gardens focusing on healthy food access or symbolic food labels and gardener demographics, but ordered logistic and negative binomial regressions show stronger evidence of community demographics shaping gardener demographics. At the same time, t-tests comparing mean neighborhood and gardener demographics shows a consistent under-representation of Latinx community members among gardeners. As theorized in the model presented, community garden locations are important for shaping what demographics are represented among gardeners, but how community garden benefits are framed can limit garden accessibility, and subsequently neighborhood representation, especially for Latinx residents. This model helps illustrate the mechanisms through which garden organizers and advocates can develop more inclusive community gardens through fostering representation from people of color and the working-class.

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Notes

  1. Symbolic food labels are labels like “local,” “organic,” or “sustainable” that may signal to White alternative food program participants in particular that a food should be considered healthy (Butterfield and Ramírez 2020; Guthman 2011).

  2. The cost of community garden participation was similar within the data presented in this paper, which was collected between 2015 and 2017 and is described further in the Methods section below. In this sample, 40% of respondents reported an annual garden fee of $30 or less, and 85% reported an annual garden fee of $60 or less.

  3. While existing work identifies greater good and empowerment as important benefits as described in the present paper, I was unable to fully consider these measures in the analyses presented here (due to a lack of variation within my data that I discuss later in the paper) and have therefore excluded them in these hypotheses.

  4. Here healthy food access represents a focus on basic needs, in contrast to the more restrictive identification of what people should be eating that comes with a focus on symbolic food labels.

  5. The rate of White neighborhood residents was used to holistically consider community racial makeup without over-complicating the regression models and introducing issues of multi-coliniarity that would have been present with the individual consideration of White, Black, and Latinx residents within the same models. The comparison of rates of Black gardeners and residents, as well as rates of Latinx gardeners and residents, are more directly considered in Hypothesis 2c.

  6. The number of either Black or Latinx participants is a combined measure representing the sum of the number of Black and the number of Latinx gardeners in each garden.

  7. I also considered the number of White gardeners and the number of non-White gardeners (calculated as the total number of gardeners minus the number of White gardeners), but the garden benefits had no significant relationships with these outcome variables. I therefore excluded them from this paper. Impacts of control variables and neighborhood demographics (class of the garden participants, neighborhood racial makeup, neighborhood income, and neighborhood education) were substantively similar to the models presented in the results section of this paper.

  8. While Butterfield and Ramírez (2020) identified an additional category—food donation—in their work, we had not included a response option that corresponded to this category in our survey. I was therefore unable to consider this category in the present study.

  9. I also included gardener demographics as controls where relevant: I controlled for gardener class, as described above, when predicting gardener race; I controlled for the percent of gardeners identified as White (calculated from the number of White gardeners and the total number of gardeners) when predicting gardener class.

  10. I used negative binomial regression instead of Poisson regression because the means (MeanB&L = 30.13; MeanLatinx = 8.13; MeanBlack = 22.31) were much lower than the variances (VarianceB&L = 41,172.37; VarianceLatinx = 1,122.07; VarianceBlack = 29,806.54). In the base models, likelihood ratio tests for the alphas measuring overdispersion are also statistically significant at the .001 level, indicating that the alphas (AlphaB&L = 1.27; AlphaLatinx = 3.00; AlphaBlack = 2.25) are not equal to 0 and that there is overdispersion in the outcome variables. This suggests that the negative binomial regression model is a better fit than the Poisson regression model.

  11. Greater good and self-empowerment were excluded in these analyses due to the lack of variation in responses to these options (see Table 2 for details). Community orientation was also excluded from regression models because it was not a main area of interest in this study and showed no statistically significant relationships with gardener class or race measures.

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Acknowledgements

Thank you to Dr. Zulema Valdez, Dr. A Susana Ramírez, and Dr. Whitney Laster Pirtle for their feedback, guidance, and support on this project. Special thanks to Dr. Zulema Valdez for her partnership and guidance in collecting the data used herein, and to the American Community Garden Association and Brittany Oaks for supporting data collection efforts.

Funding

This study was funded by University of California, Merced, Department of Sociology; University of California, Merced, Global Food Initiative Campus Collaborative Grow Grant; University of California, Merced, Blum Center Seed Grant; University of California, Merced, John & Victoria Elia Fellowship.

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Correspondence to Katie L. Butterfield.

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Butterfield, K.L. Modeling community garden participation: how locations and frames shape participant demographics. Agric Hum Values 40, 1067–1085 (2023). https://doi.org/10.1007/s10460-022-10406-2

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