Data underlying the publication: The contribution of forest extraction to income diversification and poverty alleviation for Indonesian smallholder cattle breeders
Principal Investigator(s): View help for Principal Investigator(s) Eko Nugroho, Faculty of Animal Science, Brawijaya University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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2022-04-06_Figure 2_correlation.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 69.3 KB | 06/07/2022 03:29:AM |
2022-04-06_Questionnaire.pdf | application/pdf | 293.1 KB | 04/07/2022 07:06:AM |
2022-04-06_paper1.do | text/plain | 3.9 KB | 08/28/2022 12:09:PM |
2022-04-06_paper1.dta | application/x-stata-dta | 113.7 KB | 04/07/2022 07:08:AM |
Project Citation:
Nugroho, Eko. Data underlying the publication: The contribution of forest extraction to income diversification and poverty alleviation for Indonesian smallholder cattle breeders. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-08-28. https://doi.org/10.3886/E178841V1
Project Description
Summary:
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Smallholder farmers in developing countries often lack resources. They rely mostly on extensive production approaches such as cattle keeping and resort more to extracting forest resources at no charge. Our objective is to assess the relationship between the diversification of income sources, poverty and livelihood capital for smallholder farm households which combine cattle farming with forest extraction.
Funding Sources:
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Lembaga Pengelola Dana Pendidikan (LPDP) (PRJ-2738/LPDP/2015)
Scope of Project
Subject Terms:
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Poverty;
Smallholders;
Livelihood;
Beef production;
Timber;
Non-timber
Geographic Coverage:
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Bojonegoro district, East Java province, Indonesia.
Time Period(s):
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7/2017 – 12/2017
Collection Date(s):
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7/2017 – 12/2017
Data Type(s):
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survey data
Collection Notes:
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All variables are clearly explained in the file: 2022-04-06_paper1.dta
Methodology
Response Rate:
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100% of 600 respondents.
Sampling:
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Snowball sampling
Data Source:
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household survey
Collection Mode(s):
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face-to-face interview
Scales:
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likert scale
Unit(s) of Observation:
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years, km
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