What evidence exists on the effects of public policy interventions for achieving environmentally sustainable food consumption? A systematic map protocol.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Biljana Macura, Ylva Ran, U Martin Persson, Assem Abu Hatab, Malin Jonell, Therese Lindahl, Elin Röös
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引用次数: 0

Abstract

Background: The global food system is causing considerable environmental harm. A transition towards more sustainable consumption is needed. Targeted public policy interventions are crucial for stimulating such transition. While there is extensive research about the promotion of more environmentally sustainable food consumption, this knowledge is scattered across different sources. This systematic map aims to collate and describe the available evidence on public policy interventions such as laws, directives, taxes and information campaigns, for achieving sustainable food consumption patterns.

Methods: We will search bibliographic databases, specialist websites, Google Scholar and bibliographies of relevant reviews. Searches for academic literature will be performed in English, while searches for grey literature will be performed in English, Swedish, Danish and Norwegian. Screening, including consistency checking exercises, will be done at two levels: title and abstract, and full text. We will use machine learning algorithms to support screening at the title and abstract level. Coding and meta-data extraction will include bibliographic information, policy details and context, and measured environmental outcome(s). The evidence base will be summarised narratively using tables and graphs and presented as an online interactive searchable database and a website that will allow for visualisation, filtering and exploring systematic map findings, knowledge gaps and clusters.

关于公共政策干预对实现环境可持续食品消费的影响,存在哪些证据?系统的地图协议
背景:全球粮食系统对环境造成了相当大的危害。需要向更可持续的消费过渡。有针对性的公共政策干预对于促进这种过渡至关重要。虽然有关促进更具环境可持续性的食品消费的研究很多,但这些知识分散在不同的来源。本系统地图旨在整理和描述有关实现可持续食品消费模式的公共政策干预措施(如法律、指令、税收和宣传活动)的现有证据:我们将搜索书目数据库、专业网站、谷歌学术和相关评论的书目。学术文献的搜索将以英语进行,灰色文献的搜索将以英语、瑞典语、丹麦语和挪威语进行。筛选工作(包括一致性检查工作)将在两个层面上进行:标题和摘要以及全文。我们将使用机器学习算法来支持标题和摘要层面的筛选。编码和元数据提取将包括书目信息、政策细节和背景以及衡量的环境结果。我们将使用表格和图表对证据库进行叙述性总结,并以在线交互式可搜索数据库和网站的形式进行展示,该网站将允许对系统地图结果、知识差距和群组进行可视化、筛选和探索。
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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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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