Who gets what – and how efficiently? Assessing the spatial allocation of public goods

Governments frequently face distributive pressures that can lead them to allocate resources along partisan or ethnic lines. Such patterns of distribution can run counter to welfare maximization. It is therefore important to incorporate distributional concerns into the measurement of government perfo...

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Main Author: Ruth D. Carlitz
Format: Article
Language:English
Published: SAGE Publishing 2019-09-01
Series:Research & Politics
Online Access:https://doi.org/10.1177/2053168019879355
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spelling doaj-3c680442ac344016bb8dfc15ce5f9d3a2020-11-25T03:26:53ZengSAGE PublishingResearch & Politics2053-16802019-09-01610.1177/2053168019879355Who gets what – and how efficiently? Assessing the spatial allocation of public goodsRuth D. CarlitzGovernments frequently face distributive pressures that can lead them to allocate resources along partisan or ethnic lines. Such patterns of distribution can run counter to welfare maximization. It is therefore important to incorporate distributional concerns into the measurement of government performance. This paper outlines a method for doing so, adapting standard techniques for measuring government efficiency. The proposed method’s utility is demonstrated with data from Tanzanian local governments. The application illustrates how failing to take distributional concerns into account can bias the measurement of performance. Assessing how well governments translate resources into outputs that equitably serve their citizens is important for a number of topics in political science, including decentralization, distributive politics, and government fragmentation. It can also inform efforts to promote aid effectiveness. The proposed approach is applicable to a wide range of contexts given the increasing availability of geo-coded data on public goods. Replication files are provided for those wishing to conduct their own analyses.https://doi.org/10.1177/2053168019879355
collection DOAJ
language English
format Article
sources DOAJ
author Ruth D. Carlitz
spellingShingle Ruth D. Carlitz
Who gets what – and how efficiently? Assessing the spatial allocation of public goods
Research & Politics
author_facet Ruth D. Carlitz
author_sort Ruth D. Carlitz
title Who gets what – and how efficiently? Assessing the spatial allocation of public goods
title_short Who gets what – and how efficiently? Assessing the spatial allocation of public goods
title_full Who gets what – and how efficiently? Assessing the spatial allocation of public goods
title_fullStr Who gets what – and how efficiently? Assessing the spatial allocation of public goods
title_full_unstemmed Who gets what – and how efficiently? Assessing the spatial allocation of public goods
title_sort who gets what – and how efficiently? assessing the spatial allocation of public goods
publisher SAGE Publishing
series Research & Politics
issn 2053-1680
publishDate 2019-09-01
description Governments frequently face distributive pressures that can lead them to allocate resources along partisan or ethnic lines. Such patterns of distribution can run counter to welfare maximization. It is therefore important to incorporate distributional concerns into the measurement of government performance. This paper outlines a method for doing so, adapting standard techniques for measuring government efficiency. The proposed method’s utility is demonstrated with data from Tanzanian local governments. The application illustrates how failing to take distributional concerns into account can bias the measurement of performance. Assessing how well governments translate resources into outputs that equitably serve their citizens is important for a number of topics in political science, including decentralization, distributive politics, and government fragmentation. It can also inform efforts to promote aid effectiveness. The proposed approach is applicable to a wide range of contexts given the increasing availability of geo-coded data on public goods. Replication files are provided for those wishing to conduct their own analyses.
url https://doi.org/10.1177/2053168019879355
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