Total and rural 2G to 4G mobile coverage data, as a proxy of the digitalisation of agriculture at country and world scales (2015-2022)

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Roda, Jean-Marc; Bufkens, Matthieu; Cadene, Philippe, 2025, "Total and rural 2G to 4G mobile coverage data, as a proxy of the digitalisation of agriculture at country and world scales (2015-2022)", https://doi.org/10.18167/DVN1/ZTKQIH, CIRAD Dataverse, V1
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Description
For many countries of the world, as well as for continents, regions grouped by income, geography and other factors, the data set contains series of rural, urban, total coverage by mobile networks, as well as rural, urban, and total population.
The data set also contains the sources of data, and the detailed results of various equations fitted to the data, as per the linked paper. These equations describe an inequality relationship between total and rural coverage by mobile networks. They predict the rural coverage as a function of the total coverage by mobile networks. (2024-12-13)
Subject Agricultural Sciences; Computer and Information Science; Mathematical Sciences; Social Sciences; Other
Keyword digital agriculture, mobile phones, digital divide, smarphones, mobile data collection, mobile equipment
Related Publication Digitalisation of agriculture around the world: factors driving the diffusion of rural coverage by mobile networks (submitted)
Notes The data is given organised for 52 elements, made up of 40 countries: Austria (2018; 4G), Belgium (2018; 4G), Bolivia (2021; 4G), Brazil (2021; 4G), Canada (2013 to 2019; 4G), Chile (2020; 4G), Colombia (2021; 4G), Costa Rica (2017 & 2021; 4G), Czech Republic (2018 ; 4G), Ecuador (2017 & 2020; 4G), Estonia (2018; 4G), Finland (2018; 4G), France (2018; 4G), Germany (2019; 4G), Greece (2018; 4G), Hungary (2018; 4G), Honduras (2021; 4G), Iceland (2018 ; 4G), Indonesia (2019; 4G), Ireland (2018; 4G), Italy (2018; 4G), Latvia (2018; 4G), Lithuania (2018; 4G), Luxembourg (2018; 4G), Malaysia (2019; 4G), Netherlands (2018; 4G), New Zealand (2019; 4G), Norway (2018; 4G), Paraguay (2017 & 2021; 4G), Peru (2020; 4G), Philipines (2019; 4G), Poland (2018; 4G), Portugal (2018; 4G), Slovak Republic (2018; 4G), Slovenia (2018; 4G), Spain (2018; 4G), Suriname (2020; 4G), Switzerland (2018; 4G), Tanzania (2020; 2G,3G,4G) and the United Kingdom (2018; 4G); and 12 major regions Africa (2015 to 2022; 2G,3G,4G), Americas (2015 to 2022; 2G,3G,4G), Arab Countries (2015 to 2022 ; 2G,3G,4G), Commonwealth of Independent States (2015 to 2022; 2G,3G,4G), Europe(2015 to 2022; 2G,3G,4G), Asia Pacific Countries (2015 to 2022; 2G,3G,4G), High Income Countries (2015 to 2022; 2G,3G,4G), Low Income Countries (2015 to 2022; 2G,3G,4G), Lower Middle Income Countries (2015 to 2022; 2G,3G,4G), Upper Middle Income Countries (2015 to 2022; 2G,3G,4G), Landlocked Developing Countries (2015 to 2022; 2G,3G,4G), Least Developed Countries (2015 to 2022; 2G,3G,4G), Small Island Developing States (2015 to 2022; 2G,3G,4G) and the World (2015 to 2022; 2G,3G,4G).
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Data.RData
R Data - 6,4 KB
Published 23 avr. 2025
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MD5: 70c8abf003c9f4e306773c0736622e8c
For each observation, the variables are: - group of country - (geographical) place / country - Scale - Technology (2G, 3G, 4G) - Year (2015 to 2022) - Total coverage (fraction of total population) - Rural coverage (fraction of rural population) - Urban coverage (fraction of urban population) - Total population (absolute number) - Rural population (absolute number) - Urban population (absolute number)
Data_Sources.txt
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Published 23 avr. 2025
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MD5: 63d9b99e0a640e540aa6567d2cda5ce8
This file contains the bibliographic references and the weblink to the sources of data referd as a, b, c, d, e, f, g, h, i, j, k, l, in the file "Link_from_Data_to_ Data_Sources.csv"
Preview "Data_Sources.txt"
Link_from_Data_to_Data_sources-1.RData
R Data - 1011 B
Published 23 avr. 2025
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MD5: 6d3a65b92e846727c264bf671a227a70
This file follow the global structure od the file data.csv, and gives the relevant sources of data for each observation. Relevant sources of data are a, b, c, d, e, f, g, h, i, j, k, l. Complete bibliographical references and web links for a, b, c, d, e, f, g, h, i, j, k, l are detailed in another file: Data_sources.txt
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Models_detailed_results.RData
Gzip Archive - 6,3 KB
Published 23 avr. 2025
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MD5: 0b22260bb01bd8a11f33e3ad6fa90e9d
This file contains all the details results of the models describing rural coverage as a function of total coverage, for countries, continents and group of countries. Equations 1 to 8 are taken from the literature (ao, L. F. (2022). The first moment of income density functions and estimation of single-parametric Lorenz curves. PloS one, 17(6), e0267828. https://doi.org/10.1371/journal.pone.0267828 ). Equation 13 has been proposed in the linked paper "Digitalisation of agriculture around the world: factors driving the diffusion of rural coverage by mobile networks", by the present authors. a, b, c stand for parameters a, b, c. SEa SEb SEc stand for the Standard Errors of parameters a, b, c. Sample is the number of data pairs (rural coverage vs total coverage) R2 is the pseudo-square R of the fit. RMSE is the root-mean-square deviation of the fit. RSS is the residual sum of squares of the fit. AIC is the Akaike information criterion.
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