Poverty and gender perspectives in marine spatial planning: lessons from Kwale County in coastal Kenya
SND-ID: 2024-481. Version: 1. DOI: https://doi.org/10.5878/mjpj-v424
Is part of collection at SND: Environment for Development
Associated documentation
Citation
Creator/Principal investigator(s)
Richard Mulwa - University of Nairobi, Faculty of Law and Department of Economics and Development Studies,
Jane Turpie - University of Cape Town, School of Economics
Jacqueline Uku - Kenya Marine and Fisheries Research Institute (KMFRI)
Michael Ndwiga - University of Nairobi, Kenya., Department of Economics
Elly Musembi - University of Nairobi, Department of Economics
... Show more..Richard Mulwa - University of Nairobi, Faculty of Law and Department of Economics and Development Studies,
Jane Turpie - University of Cape Town, School of Economics
Jacqueline Uku - Kenya Marine and Fisheries Research Institute (KMFRI)
Michael Ndwiga - University of Nairobi, Kenya., Department of Economics
Elly Musembi - University of Nairobi, Department of Economics
Fridah Munyi - Kenya Marine and Fisheries Research Institute (KMFRI)
Johanna Brühl - University of Nairobi
Show less..Research principal
Description
This dataset was used for a report that provides an overview of three pilot cases of baseline data collection to better understand local communities’ dependence on marine resources and other livelihood activities, with emphasis on understanding the role of marine spatial zonation and resource manage-ment on poverty and gender equality. Pilot studies were conducted in Kenya, Tanzania and Madagascar. This dataset only contains data from Kenya, in particular, from the Kwale county which is the southernmost coastal county.
The survey employed a mixed-method crosssectional study design, collecting qualitative and quantitative data at different levels. The study adopted a multi-stage sampling procedure where three sub-counties in Kwale county that border the ocean front, Lunga Lunga, Msambweni, and Matuga were purposively selected in the first stage. In the second stage, nine locations bordering the ocean in these sub-counties were randomly selected, and thereafter villages selected randomly from the nine locations. The sampling of households in the villages was random and involved drawing transects
The survey employed a mixed-method crosssectional study design, collecting qualitative and quantitative data at different levels. The study adopted a multi-stage sampling procedure where three sub-counties in Kwale county that border the ocean front, Lunga Lunga, Msambweni, and Matuga were purposively selected in the first stage. In the second stage, nine locations bordering the ocean in these sub-counties were randomly selected, and thereafter villages selected randomly from the nine locations. The sampling of households in the villages was random and involved drawing transects across the villages and picking individual households randomly. The key method of primary data collection was face-to-face interviews. A survey questionnaire was developed. Quantitative data collection tools were digitized for electronic capture and transmission using Kobo Toolbox. The electronic questionnaire was uploaded to enumerators’ mobile smartphones using a unique Kobo Collect app. Data collected were submitted to a server daily. A total of 446 households were included in this dataset. This datasets is part of a wider data collection that comprises three countries: Kenya, Tanzania, and Madagascar. Show less..
Data contains personal data
Yes
Sensitive personal data
Yes
Type of personal data
Age, gender, income, county, village, GPS coordinates.
Language
Unit of analysis
Population
Households from the Kwale county which is the southernmost coastal county in Kenya.
The survey employed a mixed-method crosssectional study design, collecting qualitative and quantitative data at different levels. The study adopted a multi-stage sampling procedure where three sub-counties in Kwale county that border the ocean front, Lunga Lunga, Msambweni, and Matuga were purposively selected in the first stage. In the second stage, nine locations bordering the ocean in these sub-counties were randomly selected, and thereafter villages selected randomly from the nine locations. The sampling of households in the villages was random and involved drawing transects across the villages and picking individual households randomly.
Time Method
Sampling procedure
Time period(s) investigated
2021-11-17 – 2021-11-24
Geographic spread
Geographic location: Kenya, Africa, Sub-Saharan Africa
Geographic description:
This study was conducted in Kwale county in coastal Kenya. The county is one of the six counties in the
coastal region of Kenya and a member of the Jumuia ya Kaunti za Pwani (JKP) economic block. It borders
Taita Taveta County to the Northwest, Kilifi County to the North and Northeast, Mombasa County and
the Indian Ocean to the East and Southeast and the United Republic of Tanzania to the Southwest. The
County is located in the Southern tip of Kenya (Figure 1), lying between Latitudes 30.05º to 40.75º South
and Longitudes 38.52º to 39.51º East. Kwale County covers an area of about 8,270.2 km2, 62 of this being
water surface. This area excludes the 200 nautical miles’ coastal strip known as the Exclusive Economic
Zones (EEZ). The county was selected because it represents all possible economic activities carried
out by coastal communities in Kenya. It also forms a continuum with the northern coast of Tanzania.
Highest geographic unit
County (NUTS 3)
UNESCO-IOC and SwAM 2024. Poverty and Gen-der Perspectives in Marine Spatial Planning: Lessons from Kwale County in Coastal Kenya. Paris. Nairobi, UNESCO. (IOC Technical Series, 179).Authors:Richard Mulwa (EfD, Kenya), Jane Turpie (EfD South Africa), Jacqueline Uku (KMFRI), Michael Ndwiga (EfD, Kenya), Elly Musembi (KMFRI), Fridah Munyi (KMFRI), Johanna Bruehl (EfD South Africa).
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