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Dataset: Blue Food policy objectives: an analysis of opportunities and trade-offs

Research datakeyboard_double_arrow_right Dataset 01 Jan 2021Embargo end date: 09 Sep 2021 Netherlands Publisher:Harvard Dataverse

Authors: Crona, Beatrice; Jonell, Malin; Koehn, Zachary; Short, Rebecca; Tigchelaar, Michelle; Daw, Tim; Wassénius, Emmy; +23 Authors

doi: 10.7910/dvn/ila0xi

Dataset: Blue Food policy objectives: an analysis of opportunities and trade-offs

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Abstract

The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" integrates the findings of an initiative to assess the multiple roles of blue foods in food systems worldwide (https://www.bluefood.earth/) and translates them into four policy objectives aimed at realizing the contributions of aquatic foods to more nutritious, just, resilient and environmentally sustainable food systems. This dataset contains the variables used to assess conditions (at the level of nations) when blue food policy objectives are likely to be relevant. The R code used for Boolean analysis is available here: https://github.com/emmywas/BFA_Policy_analysis

The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" is part of the Blue Food Assessment ( https://www.bluefood.earth/ ) a comprehensive examination of the role of aquatic foods in building healthy, sustainable, and equitable food systems. The assessment was supported by the Builders Initiative, the MAVA Foundation, the Oak Foundation, and the Walton Family Foundation. BC also thanks the Erling Persson Family Foundation.

The data comes from publicly available (or published) datasets

Country

Netherlands

Related Organizations

Royal Swedish Academy of Sciences
Sweden
Johns Hopkins University
United States
Shanghai Jiao Tong University
China (People's Republic of)
Lancaster University
United Kingdom
University of British Columbia
Canada

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Keywords

Milieubeleid, WIMEK, WASS, sustainability, Environmental Policy, food policy, Earth and Environmental Sciences, Other, food system, blue foods

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average