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Nature’s Contribution to Poverty Alleviation, Human Wellbeing and Sustainable Development Goals, 2019–2022
Creator
Wells, G, University of Edinburgh
Das, A, Ashoka Trust for Research in Ecology and the Environment
Attiwilli, S, Ashoka Trust for Research in Ecology and the Environment
Poudyal, M, University of Kent
Kraft, F, Ludwig Maximilian University of Munich
Lele, S, Ashoka Trust for Research in Ecology and the Environment
Daw, T, Stockholm Resilience Center
Schreckenberg, K, King's College London
Study number / PID
856560 (UKDA)
10.5255/UKDA-SN-856560 (DOI)
Data access
Open
Series
Not available
Abstract
This dataset was compiled for analyses in the research project ‘Nature's contribution to poverty alleviation, human wellbeing and the SDGs’ (Nature4SDGs) (NERC Grant NE/S012850/1). The dataset integrates secondary data on rural livelihoods, multi-dimensional human wellbeing, household demographics, resource tenure and social-ecological context across 10,971 households in 232 settlements in ten low- and middle-income countries. It primarily draws upon nine existing household surveys, and their associated site descriptions and qualitative interviews. It also draws upon existing global geospatial datasets to provide further village-level information on the social-ecological context.
Using this dataset, the Nature4SDGs project is specifically examining multidimensional wellbeing from the use of uncultivated nature; the role of common pool uncultivated resources in reducing income inequalities; and the consumption of wild protein across different social-ecological contexts.Agreed in 2015 by all the countries of the United Nations, the 17 Sustainable Development Goals (SDGs), and their subsidiary targets and indicators, represent a blueprint for enabling humanity to achieve a more sustainable future, one in which all people are able to flourish in peace and prosperity while still protecting the environment on which we all depend. For the SDGs to succeed, we need to be able to (a) measure the progress of relevant indicators and (b) understand which policies and interventions can effectively lead to progress in different indicators. Governments are now starting to report annually on the set of 230 indicators originally identified. However, there is concern that there may be trade-offs between some of the SDGs, e.g. 1 (no poverty) and 15 (life on land). For example, the 2018 SDG report highlights that, despite progress on many fronts, increasing land degradation - caused by competing pressures for food, energy and shelter - threatens the livelihoods of over 1 billion...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
14/02/2019 - 31/01/2022
Country
Bangladesh, China, Colombia, Kenya, Malawi, Madagascar, India, Mozambique, Tanzania, Peru
Time dimension
Not available
Analysis unit
Individual
Household
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Geospatial
Data collection mode
Compilation of existing datasets, including creation of new variables.
Funding information
Grant number
NE/S012850/1
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.