Evidence map›Paper›PMID 36694707›Full record

ArticleCities (London, England)2023

Modelling food policies in Italian urban agendas in the time of Covid-19: Experiences, challenges and opportunities.

Daniele Fattibene, Giampiero Mazzocchi, Marta Antonelli, Davide Marino, Luca Romagnoli

Abstract read
In one paragraph

Article in Cities (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daniele FattibeneIstituto Affari Internazionali, Rome 00186, Italy.
Giampiero MazzocchiCouncil for Agricultural Research and the Analysis of Agricultural Economics (CREA), Rome 00186, Italy.
Marta AntonelliDivision on Impacts on Agriculture, Forests and Ecosystem Services, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Viterbo 01100, Italy.
Davide MarinoDepartment of Biosciences and Territory LATE LAB University of Molise, Campobasso 86100, Italy.
Luca RomagnoliDepartment of Economics, University of Molise, Campobasso 86100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global food systems are broken and in need of profound change. These imbalances and vulnerabilities are particularly strong in cities, where most of the global population lives and that are at the core of the major challenges linked with food production and consumption. The food system transition needs cities as key game-changers towards more sustainable, equitable, healthier and fairer food systems. Against this backdrop, the present article analyses the role of food policies within urban policies, with a focus on Italian cities. In particular, the article discusses data collected from representatives of 100 municipalities across Northern, Central and Southern Italy. Moreover, it addresses the types of policies and initiatives adopted at the local level, the main obstacles encountered, the role of national and international city networks and the impact of Covid-19 on urban food security, with the aim to identify potential models of urban food policies as a structural component of a broader urban agenda. By doing this, the article aims at filling a research gap in current literature, as it is the first large-scale survey on urban food policies in Italy, identifying models of urban food policies that are already being developed within broader urban development agendas.

Indexed as

Covid-19Food securityItalySustainable developmentUrban food governanceUrban food policiesUrban food securityUrban food waste

Identifiers

PMID36694707
PMCPMC9852314

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.