<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel rdf:about="http://hdl.handle.net/123456789/1495">
<title>THE SHADOW ECONOMY AND ECONOMIC GROWTH  IN NIGERIA</title>
<link>http://hdl.handle.net/123456789/1495</link>
<description/>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/1496"/>
</rdf:Seq>
</items>
<dc:date>2026-04-04T11:54:29Z</dc:date>
</channel>
<item rdf:about="http://hdl.handle.net/123456789/1496">
<title>THE SHADOW ECONOMY AND ECONOMIC GROWTH  IN NIGERIA</title>
<link>http://hdl.handle.net/123456789/1496</link>
<description>THE SHADOW ECONOMY AND ECONOMIC GROWTH  IN NIGERIA
ORESAJO, ABIOLA LYDIA
The Shadow Economy (SE) includes economic activities operating outside relevant &#13;
government regulations. These activities are expected to wane as the economy grows, but, &#13;
continue to exist. Thus, the effects of SE on economic growth remain unsettled. Factors&#13;
influencing SE had been examined extensively in the literature. However, less attention had &#13;
been paid to factors responsible for various dimensions of SE in Nigeria. These dimensions &#13;
include non-compliance with government regulations (taxes), cash-based transactions, and &#13;
concealment of transactions. This study, therefore, was designed to investigate the drivers of &#13;
dimensions of the SE, its size and implications for economic growth in Nigeria. &#13;
The Endogenous Growth Theory provided the framework for both the micro and macro models &#13;
adopted by this study. The methodology consisted of a survey approach, and macro-based &#13;
models, which were represented by Currency Demand (CD), Multiple Indicators, Multiple &#13;
Causes (MIMIC) and growth models. Purposive sampling was used to select 206 and 204 &#13;
owners of microenterprises in Lagos and Kano states, respectively. These states are commercial &#13;
hubs where significant SE activities exist. A structured questionnaire was administered to &#13;
obtain information on the dimensions of the SE. Aspects of SE that were explored included &#13;
incomplete records, cash-based transactions, non-registration of businesses, and concealment &#13;
of activities from official scrutiny. Probit technique was employed to examine the micro-based &#13;
factors of SE participation. The CD and MIMIC models were used to examine macro-based &#13;
factors influencing SE and size. The tax burden was identified as the key variable of interest in &#13;
these models. The growth model was used to evaluate the effects of size of SE on economic&#13;
growth. The CD, MIMIC, and growth models were estimated using Ordinary Least Squares, &#13;
Maximum Likelihood, and parsimonious Error Correction techniques, respectively. Data were &#13;
obtained from World Bank Development Indicators, and regression estimates analysed at &#13;
p≤0.05. &#13;
The age of respondents was 32.8±10.0 years, 68.3% were males, 75.4% were sole-proprietors, &#13;
68.5% were in the trade sector, and 62.0% earned less than N30,000 monthly. Vocational &#13;
education (β=0.369), funding by government/non-governmental organisation (β=0.412), tax &#13;
morale (β=-0.311), earning less than N30,000 (β=0.243), and working between 36 to 40 hours &#13;
(β=0.170) were significant micro-based drivers of the SE. Cash-based transactions yielded the &#13;
highest incidence (91.0%), while concealment generated the lowest incidence (22.6%) of SE. &#13;
Income generation (46.3%), poverty reduction (44.4%) and tax revenue (50.3%) were &#13;
perceived as channels through which the SE influenced the economy. &#13;
Tax burden (β=0.589) was a major macro-based factor influencing SE. Estimates of the size &#13;
from the currency demand model and MIMIC model were 44.2% and 60.5%, respectively. On &#13;
the average, the micro-based approach yielded higher estimates of the size of SE relative to &#13;
those from macro-based approaches. In addition, increases in the size of the SE (percentage of &#13;
GDP) were associated with increases in GDP growth (β=0.655). &#13;
The size of the shadow economy in Nigeria is large and has a favourable impact on the &#13;
economy. Therefore, challenges associated with education, credit provision, low tax morale, &#13;
low incomes, and tax burden should be addressed by the government.
</description>
<dc:date>2020-02-01T00:00:00Z</dc:date>
</item>
</rdf:RDF>
