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Part 1: Document Description
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Citation |
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Title: |
Segmentation Data for Nigeria and India States of Bihar, Odisha, and Uttar Pradesh |
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Identification Number: |
doi:10.7910/DVN/K5NSAF |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2017-04-17 |
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Version: |
2 |
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Bibliographic Citation: |
HarvestChoice, International Food Policy Research Institute, 2017, "Segmentation Data for Nigeria and India States of Bihar, Odisha, and Uttar Pradesh", https://doi.org/10.7910/DVN/K5NSAF, Harvard Dataverse, V2, UNF:6:qgWv6+TKzcJ9f5nf0W2j/w== [fileUNF] |
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Citation |
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Title: |
Segmentation Data for Nigeria and India States of Bihar, Odisha, and Uttar Pradesh |
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Identification Number: |
doi:10.7910/DVN/K5NSAF |
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Authoring Entity: |
HarvestChoice, International Food Policy Research Institute |
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Grant Number: |
OPP1127531 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Azzarri, Carlo |
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Access Authority: |
Haile, Beliyou |
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Access Authority: |
Bacou, Melanie |
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Depositor: |
Koo, Jawoo |
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Date of Deposit: |
2017-04-17 |
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Holdings Information: |
https://doi.org/10.7910/DVN/K5NSAF |
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Study Scope |
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Keywords: |
Agricultural Sciences, Social Sciences, typology, farming systems |
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Abstract: |
This dataset was compiled by processing and harmonizing multiple secondary datasets, covering Nigeria and three states in India (Bihar, Odisha, and Uttar Pradesh), to help those working in the agricultural development sector identify and characterize groups of smallholder farmers that have the highest potential leverage in terms of increasing agricultural productivity. The dataset includes multiple various covering the agricultural production constraints, opportunities, and gender issues of the identified groups, aiming to fill a data gap in the understanding of the context at the farm level and how that affects what types of technologies, practices, or services are needed. |
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Country: |
Nigeria, India, India, India |
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Geographic Coverage: |
Bihar, Odisha, Uttar Pradesh |
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Notes: |
For the catalog of variables, refer to the corresponding [Codebook] file for each of the [Consolidated Data] files. |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
Demographic and Health Surveys (DHS) |
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Cereal Systems Initiative for South Asia (CSISA) |
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IndiaSTAT |
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Village Dynamics in South Asia (VDSA) |
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General Household Survey (GHS) |
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National Fadama Development Project (FADAMA) |
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Data Access |
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Notes: |
<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. |
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Other Study Description Materials |
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File Description--f3012864 |
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File: India_Segmentation_Codebook_VDSA-micro.tab |
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Notes: |
UNF:6:qgWv6+TKzcJ9f5nf0W2j/w== |
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List of Variables: | |
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Variables |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:aynWhA0ywyx+2IFTjATWDQ== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:CZ8EmsIJIrbZfuLrdlqjCw== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:JXM1hiJojmyVMYIPz6GHjA== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:CEq6sPP4OBpFLZX+dHWfRQ== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:KUC21w8NRPwOVafNq2U/qg== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:0DsfyToLGJ2odXsXPxNBFA== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:6xNZcDnhfVBOJhzjyBoV6A== |
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f3012864 Location: |
Variable Format: character Notes: UNF:6:BiAkSDdfs3DRGduigvYUYQ== |
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Label: |
India_Segmentation_Codebook_CSISA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Codebook_DHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Codebook_IndiaSTAT.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Codebook_VDSA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Data_CSISA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Data_DHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Data_IndiaSTAT.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Data_VDSA-micro.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
India_Segmentation_Data_VDSA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Codebook_DHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Codebook_FADAMA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Codebook_GHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Data_DHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Data_FADAMA.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Nigeria_Segmentation_Data_GHS.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
ReadMe_Segmentation-Codebook-Data_April-2017_v2.txt |
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Notes: |
text/plain |