An empirical study of the challenges facing zakat and waqf institutions in Northern Nigeria

Author: Mahadi Ahmad
Year: 2019

This publication is part of the journal (2011-2)

Purpose – The purpose of this paper is to unearth the factors inhibiting the development of zakat (the

Islamic obligatory alms) and waqf (endowment) institutions in Northern Nigeria, with the aim of proffering

appropriate solutions.

Design/methodology/approach – This paper uses a qualitative research methodology whereby data

was sourced from relevant stakeholders in Northern Nigeria. To select the appropriate interviewees,

maximum variation and homogenous purposeful sampling techniques were used.

Findings – The findings of the paper show that zakat and waqf institutions in Northern Nigeria have not

achieved their inherent Sharīʿah objectives because members of the public have little or no trust or confidence

in the institutions. Also, the potential zakat payers and waqf donors dislike political office holders’

involvement in the appointment of the institutions’ administrators. Finally, the administrators lack adequate

managerial and administrative knowledge of the two institutions.

Research limitations/implications – The current research focusses on causes of low performance of

zakat and waqf institutions solely in Northern Nigeria. It is envisaged that subsequent researchers may conduct

research on the possibility of having a federal law that will strengthen the overall establishment and development

of zakat and waqf in Nigeria. This will affect bothMuslim-majority and Muslim-minority communities.

Originality/value – This paper represents a referenceable work in the field of zakat and waqf in Northern

Nigeria, as it uses an approach that sources primary data in the form of participants’ point of view instead of

relying on literature or document analysis. It is not a mere theoretical study of the literature but an empirical

investigation of the problem.

Keywords Confidence, Waqf, Trust, Zakat, Northern Nigeria, Homogeneous, Maximum variation


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