Evidence map›Paper›PMID 35721380›Full record

ArticleSocio-economic planning sciences2022

How did Italian diversified farms tackle Covid-19 pandemic first wave challenges?

Luigi Mastronardi, Aurora Cavallo, Luca Romagnoli

Open access · greenAbstract read
In one paragraph

Article in Socio-economic planning sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
9.5field-weighted citation impact, top 2% of its field
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

4 citing papers in PubMed, 39 citations in OpenAlex.

  1. From narratives to numbers: Quantifying Euro2040 farm profiles using FADN data.Journal of the science of food and agriculture · 2026
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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

3 authors at 2 institutions in 1 country.

Luigi MastronardiUniversity of Molise, Department of Economics, Via F. De Sanctis, Campobasso, Italy.
Aurora CavalloUniversitas Mercatorum, P.zza E. Mattei, 10, Rome, Italy.
Luca RomagnoliUniversity of Molise, Department of Economics, Via F. De Sanctis, Campobasso, Italy.
University of Molise · ITMercatorum University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of the Covid-19 pandemic in Italy, in the period March-May 2020, quickly triggered a deep crisis, causing an immediate economic slowdown and consequently a strong contraction in domestic demand and trade. The food supply chain faced severe difficulties, although its anti-cyclical nature allowed for greater resilience compared to other economic sectors. In this framework of ongoing uncertainty, it is important to understand the response of farms to the crisis, and their role in the sustainability of the post-pandemic food supply chain, even for future policy interventions in the short and medium term. The purpose of the paper is to investigate how diversification affected the response of farms to the Covid-19 crisis, and explore whether the changes required by the post-crisis scenario can produce opportunities for their activities. The study investigates a sample of fifteen farms in central Italy through semi-structured interviews, performing a lexicon-based text and sentiment analysis. The results highlight the importance of farm diversification in dealing with the Covid-19 crisis, and emphasise the role of diversified farms for the sustainability of the agri-food system. These results have interesting policy implications, particularly regarding support for the competitiveness of farms by improving sustainable logistics, electronic commerce and exchanges of knowledge and innovations among farmers; these measures should be taken into account to target the future agricultural, rural and food policies, at both national and local level.

Indexed as

Covid-19 crisisDiversified farmsItalyLocal food policyText and sentiment analysis

Identifiers

PMID35721380
PMCPMC9192143
OpenAlexW3169800399

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.