A unique environmental augmented household-level livelihood panel dataset from Nepal
This paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables...
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Elsevier
2022-06-01
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author | Solomon Zena Walelign Carsten Smith-Hall Santosh Rayamajhi Bir B.K. Chhetri |
author_facet | Solomon Zena Walelign Carsten Smith-Hall Santosh Rayamajhi Bir B.K. Chhetri |
author_sort | Solomon Zena Walelign |
collection | DOAJ |
description | This paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables included are: household demographics (individual's age, gender, educational status, marital status), assets (livestock, implements, land, jewellery, saving, debt), income (from the environment, crop production, livestock rearing, business ownership, wage employment, remittances, and other sources), and household shock experiences (e.g., crop failure or livestock loss). Spanning the three main physiographic regions in Nepal, data was collected in the districts of Chitwan (lowland), Kaski (mid-hills), and Mustang (mountains) in 2006 (n = 507), 2009 (n = 446), and 2012 (n = 428), with households randomly sampled, using trained and monitored enumerators. The structured household survey is freely available in Larsen et al. (2014) that also provides complete data collection process details. In each study year, household income data were collected quarterly (using recall periods of 1 or 3 months, depending on the product), while asset data was collected twice (at the beginning and end of each year). Farm-gate prices were used to value products whenever possible; subsistence products were valued using substitute product prices or the opportunity cost of time (i.e., local wage labour rate). Basic distributional statistics indicated that estimated values have acceptable properties allowing their use as prices. The dataset can be reused for analyses across a range of topics (e.g. focused on forests or livestock), data types (e.g. income or asset), and temporal scales (static or selected years). |
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spelling | doaj.art-fc24764d4d69479fb0c8ac0bca7b325a2022-12-22T02:38:13ZengElsevierData in Brief2352-34092022-06-0142108168A unique environmental augmented household-level livelihood panel dataset from NepalSolomon Zena Walelign0Carsten Smith-Hall1Santosh Rayamajhi2Bir B.K. Chhetri3Department of Geography, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Bygg 7, Dragvoll, Norway; School of Economics, College of Business and Economics, University of Gondar, Gondar, Ethiopia; Corresponding author at: Department of Geography, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Bygg 7, Dragvoll, Norway.Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Rolighedsvej 23, Frederiksberg C, 1958, DenmarkInstitute of Forestry, Tribhuvan University, Kirtipur, NepalInstitute of Forestry, Tribhuvan University, Kirtipur, NepalThis paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables included are: household demographics (individual's age, gender, educational status, marital status), assets (livestock, implements, land, jewellery, saving, debt), income (from the environment, crop production, livestock rearing, business ownership, wage employment, remittances, and other sources), and household shock experiences (e.g., crop failure or livestock loss). Spanning the three main physiographic regions in Nepal, data was collected in the districts of Chitwan (lowland), Kaski (mid-hills), and Mustang (mountains) in 2006 (n = 507), 2009 (n = 446), and 2012 (n = 428), with households randomly sampled, using trained and monitored enumerators. The structured household survey is freely available in Larsen et al. (2014) that also provides complete data collection process details. In each study year, household income data were collected quarterly (using recall periods of 1 or 3 months, depending on the product), while asset data was collected twice (at the beginning and end of each year). Farm-gate prices were used to value products whenever possible; subsistence products were valued using substitute product prices or the opportunity cost of time (i.e., local wage labour rate). Basic distributional statistics indicated that estimated values have acceptable properties allowing their use as prices. The dataset can be reused for analyses across a range of topics (e.g. focused on forests or livestock), data types (e.g. income or asset), and temporal scales (static or selected years).http://www.sciencedirect.com/science/article/pii/S2352340922003729AssetsDynamicsEnvironmentIncomePanel dataLivelihoods |
spellingShingle | Solomon Zena Walelign Carsten Smith-Hall Santosh Rayamajhi Bir B.K. Chhetri A unique environmental augmented household-level livelihood panel dataset from Nepal Data in Brief Assets Dynamics Environment Income Panel data Livelihoods |
title | A unique environmental augmented household-level livelihood panel dataset from Nepal |
title_full | A unique environmental augmented household-level livelihood panel dataset from Nepal |
title_fullStr | A unique environmental augmented household-level livelihood panel dataset from Nepal |
title_full_unstemmed | A unique environmental augmented household-level livelihood panel dataset from Nepal |
title_short | A unique environmental augmented household-level livelihood panel dataset from Nepal |
title_sort | unique environmental augmented household level livelihood panel dataset from nepal |
topic | Assets Dynamics Environment Income Panel data Livelihoods |
url | http://www.sciencedirect.com/science/article/pii/S2352340922003729 |
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