Perceptions of poverty and its manifestation in three provinces of South Africa, KwaZulu-Natal, Eastern Cape and Limpopo (PPMSA) 2014

DOI

Description: This data set was collected in Limpopo, Eastern Cape and KwaZulu-Natal. The target populations were participants in NDA projects that were mainly concerned with income generation namely, the Vukuzenzele Weaving Project, the Zamokuphila Piggery Farming Cooperative, the Asisukume Msinga Agricultural Cooperative, the RASEKO Agricultural Cooperative and Emazizini Primary Cooperative.

15 respondents were selected from each project. The administered questionnaire dealt with policy perceptions of poverty across different themes. Abstract: The HSRC was contracted by the NDA to carry out an assessment of the manifestation of poverty in the nine provinces of the country.This poverty study was based on the NIDS panel data set. To enhance the quantitative findings from the panel data set, a survey of the perceptions and attitudes of people in the three poorest provinces identified from the quantitative analysis, was done. The survey was therefore part of the bigger Poverty Manifestation Study. This is the data presented here. It was collected in Limpopo, Eastern Cape and KwaZulu-Natal. The target populations were participants on NDA projects that were mainly concerned with income generation namely:

Vukuzenzele Weaving Project in Mthatha, Eastern Cape;

Zamokuphila Piggery Farming Cooperative in Mthatha, Eastern Cape;

Asisukume Msinga Agricultural Cooperative in KwaZulu-Natal;

RASEKO Agricultural Cooperative in Limpopo and

Emazizini Primary Cooperative in Lusikisiki, Eastern Cape.

15 respondents were selected from each project. The interviews were recorded and the files are part of the data being archived in this submission. The administered questionnaire dealt with policy perceptions of poverty across different themes:

General perceptions and experiences of poverty

Employment policy and poverty

Educational policy and poverty

Health policy and poverty

Water and sanitation and poverty

Land and poverty

Finance and poverty

Face-to-face interview

Participants of all National Development Agency (NDA) income generating projects.

The study used a convenience sampling approach. All the projects were currently running when the survey was done. The available participants on site were interviewed and others were called in specifically for the interview.

Identifier
DOI https://doi.org/10.14749/1421151551
Metadata Access https://api.datacite.org/dois/10.14749/1421151551
Provenance
Creator Motala, Shirin Yousuff; Mupela, Evans Ngosa; Mabugu, Margret; Mathebula, Jabulani Hazel; Human Sciences Research Council
Publisher HSRC - Human Science Research Council SA
Contributor Human Sciences Research Council
Publication Year 2015
Funding Reference National Development Agency
Rights Other; By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
OpenAccess true
Representation
Resource Type Dataset
Version 1.0
Discipline Social Sciences
Spatial Coverage South Africa