Geography of Infrastructure Functionality at Schools in Nigeria: Evidence From Spatial Data Analysis Across Local Government Areas

Archibong, Belinda; Modi, Vijay; Sherpa, Shaky

doi:10.1080/23754931.2015.1012443

Cited by 8 publications

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References 13 publications

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“…To assess the significance of the observed I statistic, the I statistic is compared to the expected value of I in the absence of spatial autocorrelation, E(I) = −1/(n − 1) which tends to 0 as n gets larger; a larger I (i.e. I > E(I) ) reflects positive spatial autocorrelation (spatial cluster) and a smaller I (I < E(I)) reflects negative spatial autocorrelation (spatial dissimilarity) (Yu and Wei, 2008 Local spatial association is analyzed using the Getis-Ord Gi*(d) statistic which is a distance-based metric that measures the proportion of a variable located within a specific radius of a point, respective to the total sum of the variable in the study region (Archibong et al, 2015;Páez and Scott, 2005). In other words, it measures "the overall concentration of all pairs x i , x j such that i and j are within d of each other" (Getis and Ord, 1992) …”

Section: Assessing Patterns Of Spatial Inequalitymentioning

confidence: 99%

Historical origins of persistent inequality in Nigeria

Archibong

2018

Oxford Development Studies

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This study has been prepared within the UNU-WIDER project on 'The politics of group-based inequalities-measurement, implications, and possibilities for change', which is part of a larger research project on 'Disadvantaged groups and social mobility'. Terms of use: Documents in Copyright © UNU-WIDER 2016Information and requests: publications@wider.unu.edu ISSN 1798-7237 ISBN 978-92-9256-205-2 Typescript prepared by Sophie Richmond.The United Nations University World Institute for Development Economics Research provides economic analysis and policy advice with the aim of promoting sustainable and equitable development. The Institute began operations in 1985 in Helsinki, Finland, as the first research and training centre of the United Nations University. Today it is a unique blend of think tank, research institute, and UN agency-providing a range of services from policy advice to governments as well as freely available original research.The Institute is funded through income from an endowment fund with additional contributions to its work programme from Denmark, Finland, Sweden, and the United Kingdom. Katajanokanlaituri 6 B, 00160 Helsinki, FinlandThe views expressed in this paper are those of the author(s), and do not necessarily reflect the views of the Institute or the United Nations University, nor the programme/project donors. Abstract:Horizontal inequality by ethnic group has remained remarkably persistent for wealth, education, and access to certain services in Nigeria. While significant gains in the reduction of inequality and improvement in access have been made for more locally administered services, outcomes are stickier and largely divergent for wealth, education, and historically federally administered services like grid-based power access. Notable is the increasing or stagnant inequality of access to these measures in the northwest and northeast ethnic/geopolitical zones and a remarkable divergence for wealth outcomes for these two zones versus the rest of the country over the 1990-2013. This paper explores different explanations for the patterns observed and puts forth the thesis that persistent inequality in access to education and federally administered services is in large part driven by historical heterogeneous federal government policy towards different groups in Nigeria.

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Section: Assessing Patterns Of Spatial Inequalitymentioning

confidence: 99%