Zabala, Aiora
(2018).
Local impacts of a wetland restoration project in South Africa 2007.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852712
Data description (abstract)
This cross-sectional dataset was collected to assess the local impacts of a wetland restoration project of the Working for Wetlands national programme for poverty alleviation and wetland rehabilitation in South Africa. This programme is managed by the South African National Biodiversity Institute. The data was collected to assess the impacts on livelihoods and on perceptions about the environment and development among workers within the programme for the project implemented in the Ramsar wetland Seekoeivlei, in Free State. Workers were from Zamani, a township of the town nearest to the wetland, Memel. A a proxy for the impacts of the project on its workers, data were collected from a sample of workers in the programme and a sample of people in the township unrelated to the programme (thereafter 'non-workers').
| Data creators: |
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| Contributors: |
| Name |
Affiliation |
ORCID (as URL) |
| Ledula Thamsanqa |
Institute of Natural Resources, Pietemaritzburg, South Africa |
|
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| Sponsors: |
Basque Department of Research, NeWater project (6th EU framework program), St. Cross College, University of Oxford
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| Topic classification: |
Natural environment
Economics
Labour and employment
|
| Keywords: |
livelihoods, wetlands, environmental policy, environmental awareness, development, sustainable development
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| Alternative title: |
Livelihoods and 'Working for Wetlands' in Seekoeivlei, South Africa
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| Date published: |
05 Nov 2018 14:01
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| Last modified: |
05 Nov 2018 14:02
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| Collection period: |
| Date from: | Date to: |
|---|
| 6 July 2007 | 26 July 2007 |
|
| Geographical area: |
Memel, Free State, South Africa |
| Country: |
South Africa |
| Data collection method: |
22 workers were selected randomly from the total 46 employees in the project. Non-workers were sampled using multi-cluster random sampling, based on the aerial photograph of the township. For this latter sampling, the township was divided in blocks of similar size, and a number of houses were selected from within each block. The sample of non-workers maintains a similar gender and age balance to that of workers. The survey instrument collected demographic and socioeconomic data, as well as Likert-scale and open-ended responses about perceptions on the environment and development, both at a local level in a concrete manner (about local wetlands and community needs), as in a more abstract manner (about what environment and development mean for them). The data were collected with the help of a local research assistant who translated the responses from Zulu or Sesotho as necessary. |
| Observation unit: |
Individual, Household |
| Kind of data: |
Numeric |
| Type of data: |
Other surveys, Qualitative and mixed methods data |
| Resource language: |
English |
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| Data sourcing, processing and preparation: |
Code for analysis in R language is provided together with the data. Please use this code to import the dataset, prepare it for analysis and produce basic statistics.
The use of Q23 in 'questionnaire.csv' corresponds to a follow-up survey (not included in the Questionnaire PDF). The follow-up was simply to find the date of birth of people in the households (not just the age category), to test whether the policy had triggered increased birth rates in the last two years.
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| Rights owners: |
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| Contact: |
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| Notes on access: |
The Data Collection is available for download to users registered with the UK Data Service.
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| Publisher: |
UK Data Archive
|
| Last modified: |
05 Nov 2018 14:02
|
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