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The Local Governance Performance Index (LGPI) Household Survey 2019: Kenya, Malawi, Zambia

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title The Local Governance Performance Index (LGPI) Household Survey 2019: Kenya, Malawi, Zambia
 
Identifier https://doi.org/10.7910/DVN/PJKXL1
 
Creator Ellen Lust
Kristen Kao
Pierre F. Landry
Adam Harris
Boniface Dulani
Erica Ann Metheney
Sebastian Nickel
Ruth Carlitz
Josephie Gakii Gatua
Prisca Jöst
Valeryia Mechkova
Fison Maxim
John Tengatenga
Marcia Grimes
Cecilia Ahsan Jansson
Witness Alfonso
Dominique Nyasente
Nesrine Ben Brahim
Jenna Jordan
Monika Bauhr
Frida Boräng
Karen Ferree
Felix Hartmann
Hans Lueders
 
Publisher Harvard Dataverse
 
Description The 2019 Local Governance Performance Index (LGPI) household survey provides data on governance at the individual- and community-levels in Kenya, Malawi, and Zambia. Questions focused on individuals’ experiences, perceptions, and satisfaction in a wide range of substantive areas, including participation (e.g., attending community meetings, voting in elections), service provision (e.g., obtaining administrative services, education, electricity, health, and water), security (e.g., dispute resolution, experience with crime), social norms (e.g., social obligations, social sanctioning), welfare (e.g., land access, clothing, food, and shelter), and demographics. These questions allow researchers to tap into governance dimensions, regarding authority, corruption, extraction, participation, and transparency, and to do so regarding state and non-state spheres of activity (e.g., centered on ethnicity, gender, geographic localities, religion, and political parties). Implemented as part of projects on urbanization and social institutions, the survey was conducted in five sampling areas: three capital cities (Lilongwe, Lusaka, and Nairobi) and the primarily rural, border area between Malawi and Zambia. Sampling was randomized and clustered, allowing for the creation of aggregate measures at the community levels.
 
Subject Social Sciences
Local
Governance
Participation
Corruption
Transparency
Extraction
Authority
Social Institutions
 
Language English
 
Date 2023-07-13
 
Contributor Governance and Local Development Institute
 
Type Household Survey Data