Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey (doi:10.7910/DVN/CDVOJ1)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey

doi:10.7910/DVN/CDVOJ1

Harvard Dataverse

2020-10-06

1

Paul, Birthe; Butterbach-Bahl, Klaus; Notenbaert, An; Nduah, Alex Nderi; Ericksen, Polly, 2020, "Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey", https://doi.org/10.7910/DVN/CDVOJ1, Harvard Dataverse, V1, UNF:6:ddjUztwow/WULAOFyryXLQ== [fileUNF]

Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey

doi:10.7910/DVN/CDVOJ1

Paul, Birthe (International Center for Tropical Agriculture - CIAT)

Butterbach-Bahl, Klaus (International Livestock Research Institute (ILRI), Karlsruhe Institute of Technology (KIT))

Notenbaert, An (International Center for Tropical Agriculture - CIAT)

Nduah, Alex Nderi (International Center for Tropical Agriculture - CIAT)

Ericksen, Polly (International Livestock Research Institute (ILRI))

The Alliance of Bioversity International and CIAT

Harvard Dataverse

Alliance Data Management

Nyakundi, Fridah

2020-10-01

https://doi.org/10.7910/DVN/CDVOJ1

Agricultural Sciences, Earth and Environmental Sciences, livestock production systems, low emission livestock, environmental impact, low and middle income countries, sustainable development, Crops for Nutrition and Health, Africa

This dataset consists of two types of data that were used in the analysis for the perspective paper ‘Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions’: i) a sub-set of results of a systematic literature search in the Web of Science to take stock of the global distribution of research on livestock and the environment; ii) responses to four questions of an expert survey conducted among 260 respondents to explore global perceptions of environmental impacts of livestock and available solutions.

1945-2019

2019-07-22-2019-11-15

global, Africa

meta data

Survey Data

<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P>

• Number of cases: 195

• No. of variables per record: 22

• Type of File: text/tab-separated-values

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• No. of variables per record: 2

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• Number of cases: 28

• No. of variables per record: 20

• Type of File: text/tab-separated-values

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• respondent ID - respondent ID
• region - region
• severity_waterpress - severity_waterpress
• severity_waterpollute - severity_waterpollute
• severity_biodiversityloss - severity_biodiversityloss
• severity_landpress - severity_landpress
• severity_soilloss - severity_soilloss
• severity_landdegradation - severity_landdegradation
• severity_ghgs - severity_ghgs
• severity_carbonloss - severity_carbonloss
• solution_reduceconsumption - solution_reduceconsumption
• solution_fewanimals - solution_fewanimals
• solution_sust_practices - solution_sust_practices
• management_silvo_systems - management_silvo_systems
• management_grazing - management_grazing
• management_forages - management_forages
• management_manure - management_manure
• management_pastures - management_pastures
• management_waterpoints - management_waterpoints
• management_biodigester - management_biodigester
• management_res_production - management_res_production
• management_exclosures - management_exclosures
• Variable code - Variable code
• Variable description - Variable description
• lead_institutions - lead_institutions
• pub_no.  -  pub_no.
• Variable code - Variable code
• Variable description - Variable description
• Variable code - Variable code
• Variable description - Variable description
• country - country
• livestock_pubs  -  livestock_pubs
• human_pop  -  human_pop
• asses  -  asses
• buffaloes  -  buffaloes
• camelids  -  camelids
• camels  -  camels
• cattle  -  cattle
• goats  -  goats
• horses  -  horses
• mules  -  mules
• pigs  -  pigs
• sheep  -  sheep
• chickens  -  chickens
• ducks  -  ducks
• geese_guineafowls  -  geese_guineafowls
• pigeons_otherbirds  -  pigeons_otherbirds
• rabbits_hares  -  rabbits_hares
• rodents  -  rodents
• turkeys  -  turkeys

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Summary Statistics: Max. 1.13329671E8; Mean 3.01202672E7; Valid 5.0; Min. 1381395.0; StDev 4.730079319439101E7

Variable Format: numeric

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Summary Statistics: Valid 1.0; StDev 0.0; Max. 3056385.0; Min. 3056385.0; Mean 3056385.0;

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Summary Statistics: StDev 743876.333808248; Valid 2.0; Min. 718000.0; Max. 1770000.0; Mean 1244000.0

Variable Format: numeric

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Summary Statistics: Max. 426000.0; Valid 1.0; StDev 0.0; Mean 426000.0; Min. 426000.0

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Label:

Expert survey codebook.csv

text/csv

Label:

Expert_survey_questionnaire.docx

application/vnd.openxmlformats-officedocument.wordprocessingml.document

Label:

Livestock and dimensions.csv

text/csv