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An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries.

ABSTRACT: The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multiple spatial scales, on a large part of the Mediterranean basin within the DIVERCROP Project (https://divercropblog.wordpress.com/). An harmonized dataset with the desired characteristics was not readily available from official sources and, therefore, it was necessary to build an ad hoc database that could: (1) cover the Mediterranean areas of seven countries, namely Algeria (DZ), France (FR), Italy (IT), Malta (MT), Portugal (PT), Spain (ES) and Tunisia (TN); (2) contain data referred to the most disaggregated level of administrative units for which data is available in each country; (3) contain data referred to at least two time points, including the latest available data, in each country; (4) contain data on number of farm holdings, on the physical areas covered by the main annual and permanent crops and on livestock (number of heads); (5) contain a primary key that allows joining the census and surveys database to a geographical dataset of administrative units covering the entire area; (6) have an associated complete geographical dataset of administrative units, to allow spatial data analyses.

SUBMITTER: Villani R

PROVIDER: S-EPMC6880016 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries.

Villani Ricardo R Sabbatini Tiziana T Perez Olga Moreno OM Guiomar Nuno N Debolini Marta M

Data in brief 20191108

The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multi ...[more]

PMID: 31788512

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Project description:We combine new data from high-frequency surveys with data on the stringency of containment measures to examine the short-term impacts of the COVID-19 pandemic on households in developing countries. This paper is one of the first to document the impacts of COVID-19 on households across a large number of developing countries and to do so for a comparable time-period, corresponding to the peak of the pandemic-induced drop in human mobility, and the first to systematically analyze the cross- and within-country effects on employment, income, food security and learning. Using representative data from 31 countries, accounting for a combined population of almost 1.4 billion, we find that in the average country 36 percent of respondents stopped working in the immediate aftermath of the pandemic, 65 percent of households reported decreases in income, and 30 percent of children were unable to continue learning during school closures. Pandemic-induced jobs and income losses translated into heightened food insecurity at the household level. The more stringent the virus containment measures, the higher the likelihood of jobs and income losses. The pandemic's effects were widespread and regressive, disproportionally affecting vulnerable segments of the population. Women, youth, and workers without higher education - groups disadvantaged in the labor market before the COVID-19 shock - were significantly more likely to lose their jobs and experience decreased incomes. Self-employed and casual workers - the most vulnerable workers in developing countries - bore the brunt of the pandemic-induced income losses. Interruptions in learning were most salient for children from lower-income countries, and within countries for children from lower-income households with lower-educated parents and in rural areas. The unequal impacts of the pandemic across socio-economic groups risk cementing inequality of opportunity and undermining social mobility and calls for policies to foster an inclusive recovery and strengthen resilience to future shocks.

Dataset Information

An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries.

Publications

An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries.

Similar Datasets

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