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

被引:5
|
作者
Macura, Biljana [1 ]
Ran, Ylva [2 ]
Persson, U. Martin [3 ]
Abu Hatab, Assem [4 ,8 ]
Jonell, Malin [5 ,6 ,7 ]
Lindahl, Therese [5 ,6 ]
Roos, Elin [2 ]
机构
[1] Stockholm Environm Inst, POB 24218, S-10451 Stockholm, Sweden
[2] Swedish Univ Agr Sci, Dept Energy & Technol, S-75007 Uppsala, Sweden
[3] Chalmers Univ Technol, Dept Space Earth & Environm, Phys Resource Theory, S-41296 Gothenburg, Sweden
[4] Swedish Univ Agr Sci, Dept Econ, S-75007 Uppsala, Sweden
[5] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, S-10405 Stockholm, Sweden
[6] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden
[7] Royal Swedish Acad Sci, Stockholm, Sweden
[8] Nordic Africa Inst, SE-75147 Uppsala, Sweden
关键词
Biodiversity loss; Climate change; Environmental impacts; Greenhouse gas emissions; Public policy; Sustainable consumption; Sustainable diets; BEHAVIOR-CHANGE; CLIMATE-CHANGE; EVIDENCE BASE; IMPLEMENTATION; METAANALYSIS; IMPACT;
D O I
10.1186/s13750-022-00271-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:9
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