Poverty and gender perspectives in marine spatial planning: lessons from Madagascar
SND-ID: 2024-483. Version: 1. DOI: https://doi.org/10.5878/zfhc-w374
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
Johanna Brühl - University of Nairobi
Razack Lokina - The University of Dodoma, Tanzania
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 Madagascar, in particular, from three coastal bays in the north western regions of Boeny and Sofia, namely Bombetoka, Mahajamba and Sahamalaza bays. The data collection was confined to these bays due to the fact that most of the population is concentrated here and the remainder of the coasts of these two regions is largely inaccessible. Bombetoka, Mahajamba and Sahamalaza Bays are characterised by highly diverse marine ecosys-tems and contain mangrove forests, coral reefs, and seagrass beds. The survey employed a mixed-method cross sectional study design, collecting qualitative and quantitative data at different levels.
The study adopted a multi-stage sampling. A
The study adopted a multi-stage sampling. A total of 489 households were interviewed face-to-face. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers. 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. This dataset 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
In Madagascar, a total of 490 households were interviewed face-to-face in the north / north western region of Madagascar. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers.
Time Method
Sampling procedure
Time period(s) investigated
2021-12-20 – 2021-12-26
Geographic spread
Geographic location: Madagascar, Africa, Sub-Saharan Africa
Geographic description: The study area comprised three coastal bays in the north western regions of Boeny and Sofia, namely Bombetoka, Mahajamba and Sahamalaza Bays. The data collection was confined to these bays due to the fact that most of the population is concentrated here and the remainder of the coasts of these two regions is largely inaccessible. Bombetoka, Mahajamba and Sahamalaza Bays are characterised by highly diverse marine ecosys-tems and contain mangrove forests, coral reefs, and seagrass beds. In fact, this stretch of coast, has some of the highest diversity of corals in the WIO region (>300 species). The area around Sahamalaza is also home to some of Madagascar’s largest mangrove forests. A little further off the coast one can find island systems which are volcanic, karst, and coral.
Highest geographic unit
County (NUTS 3)
UNESCO-IOC and SwAM 2024. Developing Metrics of Poverty and Gender Considerations in Marine Spatial Planning: synthesis of case studies in Kenya, Madagascar and Tanzania. Paris. Nairobi, UNESCO. (IOC Technical Series, 186) .Authors:Richard Mulwa (EfD, Kenya), Jane Turpie (EfD South Africa), Johanna Bruehl (EfD South Africa), Razack Lokina (Tanzania).
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