Climate Smart Agriculture Country Profile Data

Version 1.2

Nyakundi, Fridah; Osiemo, Jamleck; Grosjean, Godefroy; Nguyen, Tam Ninh; Girvetz, Evan; Jaquet, Stephanie; Lizarazo, Miguel; Mburu, Rachael; Grey, Sebastian; Röhrig, Felicitas; Giles, James; Nowak, Andreea; Imbach, Pablo; Corner-Dolloff, Caitlin; Baedeker, Tobias; Konnonen, Minna; Jarvis, Andy, 2020, "Climate Smart Agriculture Country Profile Data", https://doi.org/10.7910/DVN/FO42EP, Harvard Dataverse, V1, UNF:6:juhKon5pkBwnFnYRp6zF7w== [fileUNF]

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Description	This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and qualitative data collected via a participatory approach that involved several players from different levels; farmers, input suppliers, processors, traders, policymakers, and donors. Primary data was collected from country experts in interviews, focus group discussions and workshops; a semi-structured survey questionnaire was used to conduct interviews and guide focus group discussions. A structured questionnaire was used to collect data in workshops. Secondary data on various agricultural indicators required for country CSA profiling were accessed via national and global public repositories. The data comprise of CSA practices, CSA scores across the three CSA pillars for selected production systems or value chains, existing climate-related policies at country level, and institutions implementing, overseeing or developing climate policies and interventions. The data shows CSA adoption levels, barriers to adoption and type of farmers using each of the practices the most. Over 1500 experts were interviewed in data collection (2020-05-07)
Subject	Earth and Environmental Sciences; Social Sciences; Agricultural Sciences
Keyword	Climate-smart agriculture, participatory approach, Africa, Asia, Latin America and the Caribbean, Climate Action
Related Publication	Sova, Chase Anthony; Grosjean, Godefroy; Baedeker, Tobias; Nguyen, Tam Ninh; Wallner, Martin; Nowak, Andreea; Corner-Dolloff, Caitlin; Girvetz, Evan; Laderach, Peter; Lizarazo, Miguel. 2018. Bringing the Concept of Climate-Smart Agriculture to Life : Insights from CSA Country Profiles Across Africa, Asia, and Latin America. World Bank, and the International Centre for Tropical Agriculture, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/31064 License: CC BY 3.0 IGOhandle: 10986/31064
License/Data Use Agreement	Custom Dataset Terms

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	1 to 8 of 8 Files	Original Format Archival Format (.tab)
	1.1 Country CSA Smartness Data.xlsx MS Excel Spreadsheet - 426.8 KB Published May 8, 2020 135 Downloads MD5: 7eed300bc42c6a4c97d1e34c93bcc8ea CSA smartness data	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	1.2 Country CSA Smartness Data Codebook.xlsx MS Excel Spreadsheet - 11.6 KB Published May 8, 2020 105 Downloads MD5: df1cd138784e888ba07d0b7dcf7499ed CSA smartness data codebook	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	2.1 Country CSA Policies data.xlsx MS Excel Spreadsheet - 52.6 KB Published May 8, 2020 93 Downloads MD5: 226fbae908987d0a2d4a36370b1ee01c CSA policies data	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	2.2 Country CSA Policies data codebook.xlsx MS Excel Spreadsheet - 16.0 KB Published May 8, 2020 85 Downloads MD5: 1ec1d63f21c582505c2040b9e2dfaa70 CSA policies data codebook	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	3.1 Country CSA Institutions data.xlsx MS Excel Spreadsheet - 57.6 KB Published May 8, 2020 88 Downloads MD5: f2b0b9cd254d9c54171bfef9fb23306e Country CSA Institutions data	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	3.2 Country CSA Institutions data codebook.xlsx MS Excel Spreadsheet - 15.9 KB Published May 8, 2020 84 Downloads MD5: a4bd9f2a1d5c64447e8f2259252bc485 Institutions data codebook	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	4.1 Country CSA Fund data.xls MS Excel Spreadsheet - 275.5 KB Published May 8, 2020 90 Downloads MD5: 5245cc70c03766ae8b779962b6a28667 Country CSA Fund data	Access File File Access Public Download Options MS Excel Spreadsheet Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	4.2 Country CSA Fund data codebook.tab Tabular Data - 596 B Published May 8, 2020 90 Downloads 2 Variables, 10 Observations UNF:6:juhKon5pkBwnFnYRp6zF7w== Fund data codebook	Preview "4.2 Country CSA Fund data codebook.tab" Preview "4.2 Country CSA Fund data codebook.tab" Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata DDI Codebook v2 Data File Citation Download EndNote XML Download RIS Download BibTeX Explore Options Data Explorer v2

Citation Metadata

Persistent Identifier	doi:10.7910/DVN/FO42EP
Publication Date	2020-05-08
Title	Climate Smart Agriculture Country Profile Data
Author	International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0003-2780-5522 Osiemo, JamleckWageningen University & Research International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-7027-9444 University of New Englandhttps://orcid.org/0000-0002-3022-5986 International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-1062-9764 International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-5188-1966 International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-2170-5785 Mburu, RachaelUniversity of Nairobi (UON) Grey, SebastianWorld Meteorological Organisation Röhrig, FelicitasPotsdam Institute for Climate Impact Research (PIK) International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0003-1899-9206 World Agroforestry Centre (ICRAF)https://orcid.org/0000-0002-8049-5757 International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0003-4078-6063 USDA Foreign Agriculture Services (FAS)https://orcid.org/0000-0002-7322-9442 Baedeker, TobiasWorld Bank Konnonen, MinnaWorld Bank International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0001-6543-0798
Point of Contact	Use email button above to contact. Alliance Data Management (The Alliance of Bioversity International and CIAT)
Description	This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and qualitative data collected via a participatory approach that involved several players from different levels; farmers, input suppliers, processors, traders, policymakers, and donors. Primary data was collected from country experts in interviews, focus group discussions and workshops; a semi-structured survey questionnaire was used to conduct interviews and guide focus group discussions. A structured questionnaire was used to collect data in workshops. Secondary data on various agricultural indicators required for country CSA profiling were accessed via national and global public repositories. The data comprise of CSA practices, CSA scores across the three CSA pillars for selected production systems or value chains, existing climate-related policies at country level, and institutions implementing, overseeing or developing climate policies and interventions. The data shows CSA adoption levels, barriers to adoption and type of farmers using each of the practices the most. Over 1500 experts were interviewed in data collection (2020-05-07)
Subject	Earth and Environmental Sciences; Social Sciences; Agricultural Sciences
Keyword	Climate-smart agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1361789093890 participatory approach (AGROVOC) http://aims.fao.org/aos/agrovoc/c_9000119 Africa (Research Region) Asia (Research Region) Latin America and the Caribbean (Research Region) Climate Action (Research Lever)
Topic Classification	Climate-smart agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1361789093890
Related Publication	Sova, Chase Anthony; Grosjean, Godefroy; Baedeker, Tobias; Nguyen, Tam Ninh; Wallner, Martin; Nowak, Andreea; Corner-Dolloff, Caitlin; Girvetz, Evan; Laderach, Peter; Lizarazo, Miguel. 2018. Bringing the Concept of Climate-Smart Agriculture to Life : Insights from CSA Country Profiles Across Africa, Asia, and Latin America. World Bank, and the International Centre for Tropical Agriculture, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/31064 License: CC BY 3.0 IGO handle 10986/31064 https://hdl.handle.net/10986/31064
Producer	The Alliance of Bioversity International and CIAT
Depositor	Nyakundi, Fridah
Deposit Date	2020-05-07
Data Type	Qualitative Data; Quantitative Data; Climate Data

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