How do residents perceive local food system activity? Perspectives of system performance and awareness using the local food vitality survey

Jairus Rossi, Tim Woods
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Abstract

ABSTRACTLocal food systems are complex sets of relationships between farmers, residents, market venues, intermediating institutions, social values, and agricultural landscapes. They are also, by definition, locally unique. How might advocates of local food systems (LFSs) evaluate the complicated expectations, hopes, and perceptions of those who reside within these systems? In this manuscript, we demonstrate a generalizable survey approach that involves collecting residential perspectives to understand food system performance. We use survey responses from 13 diversely sized and structured communities in the Southeastern United States to understand residents’ 1) awareness of and 2) performance evaluations for 21 different aspects of their local food systems. We use probit and ordered probit models, respectively, to conceptualize how different place-based demographic and geographic characteristics impact these perceptions. By bringing consumer perspectives into view, LFS development personnel and other stakeholders may better understand where their residents place value within their unique systems.KEYWORDS: Local food systemslocal food metrics Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. Table 1 has a breakdown of paper versus online responses for each community.2. Census details on gender not shown, though it is generally near 50/50 for each community.3. Metro areas with more than 1,000,000 individuals are classified with a 1. Metro areas with 250,000 to 1,000,000 individuals are classified with a 2. Metro areas below this threshold receive a 3. Non-metro counties are described by proximity to metro areas and population size with values ranging from 4 to 9 based on different criteria. See the following documentation for specific code values: https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/documentation/4. For each LFS aspect, the respondent was asked “How would you rate the performance of the following aspect of your community’s local food environment.” They were given the option to provide a performance score from 1 to 5 with 1 = Very Poor; 2 = Poor; 3 = Average; 4 = Good; 5 = Excellent; and 0 = Don’t Know.5. We decided to remove some of the more niche aspects of LFS as they were not relevant to or do not exist in some of the communities we surveyed.6. The question was phrased “Please rate your general interest in locally grown or processed food items.” The options were given on a 5-point Likert scale with 1 = Not Interested; 3 = Somewhat Interested; 5 = Very Interested. We recoded this to a binary variable where values 1 to 3 = 0 and values 4 to 5 = 1.7. In other words, if a person selected “Don’t Know” or left the question blank, this was coded as 0. Any other performance score (i.e. 1–5) was coded as 1.8. The question was phrased “Please rate your general interest in locally grown or processed food items.” The options were given on a 5-point Likert scale with 1 = Not Interested; 3 = Somewhat Interested; 5 = Very Interested. We recoded this to a binary variable where values 1 to 3 = 0 and values 4 to 5 = 1.9. That is, providing a non-zero performance score for each dependent variable.10. Examples of the labels were specified in the survey text and specific to the community surveyed. Local food labels were defined as simple labels, identifications, or signs that say an item is local. Farm brands were defined as local labels that identify a specific farm. State branding programs represent labels such as “Kentucky Proud” or “Got to Be NC.”11. https://newroots.org/Additional informationFundingThe work was supported by the National Institute of Food and Agriculture [2017-08377].
居民如何看待当地食品系统的活动?利用当地食物活力调查的系统性能和意识的观点
摘要地方食物系统是农民、居民、市场场所、中介机构、社会价值观和农业景观之间复杂关系的集合。从定义上讲,它们在当地也是独一无二的。地方粮食系统(LFSs)的倡导者如何评估居住在这些系统中的人的复杂期望、希望和看法?在本文中,我们展示了一种可推广的调查方法,包括收集住宅观点来了解食品系统的性能。我们使用了来自美国东南部13个不同规模和结构的社区的调查反馈,以了解居民对当地食品系统21个不同方面的认识和绩效评估。我们分别使用probit和ordered probit模型来概念化基于地点的不同人口和地理特征如何影响这些感知。通过考虑消费者的观点,LFS开发人员和其他利益相关者可以更好地了解他们的居民在他们独特的系统中的价值所在。关键词:当地食品系统当地食品指标披露声明作者未报告潜在的利益冲突。表1列出了每个社区的纸质回复和在线回复的分类。人口普查的性别细节没有显示出来,尽管每个社区的性别比例通常接近50/50。人口超过100万的大都市地区被分类为1。人口在25万到100万之间的大都市地区被划分为2级。低于这个阈值的大都市地区得到3分。非都会区县根据与都会区的距离和人口规模进行描述,根据不同的标准,数值从4到9不等。具体代码值请参见以下文档:https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/documentation/4。对于每个LFS方面,受访者被问及“你如何评价你所在社区当地食品环境的以下方面的表现。”他们可以选择在1到5之间打分,其中1 =非常差;2 =差;3 =平均;4 =好;5 =优秀;和0 =不知道。我们决定删除LFS的一些更小众的方面,因为它们与我们调查的一些社区不相关或不存在。问题的措辞是“请给你对当地种植或加工食品的总体兴趣打分。”选项以5分的李克特量表给出,1 =不感兴趣;3 =有点兴趣;非常感兴趣。我们将其重新编码为一个二进制变量,其中值1到3 = 0,值4到5 = 1.7。换句话说,如果一个人选择了“不知道”或让问题留空,那么这将被编码为0。任何其他性能得分(即1-5)被编码为1.8。问题的措辞是“请给你对当地种植或加工食品的总体兴趣打分。”选项以5分的李克特量表给出,1 =不感兴趣;3 =有点兴趣;非常感兴趣。我们将其重新编码为一个二进制变量,其中值1到3 = 0,值4到5 = 1.9。也就是说,为每个因变量提供一个非零的性能分数。在调查文本中指定了标签的示例,并针对所调查的社区进行了具体说明。当地食品标签被定义为简单的标签、标识或标志,表明一种食品是当地的。农场品牌被定义为识别特定农场的当地标签。州品牌计划代表了诸如“肯塔基骄傲”或“必须成为NC”之类的标签。本研究由美国国家粮食与农业研究所[2017-08377]资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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