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<title>TECHNO – ECONOMIC AND ENVIRONMENTAL ASSESSMENT OF WASTE-TO-ENERGY DEVELOPMENT IN NIGERIA, 1981 - 2017</title>
<link href="http://hdl.handle.net/123456789/2100" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/2100</id>
<updated>2026-04-04T14:29:45Z</updated>
<dc:date>2026-04-04T14:29:45Z</dc:date>
<entry>
<title>TECHNO – ECONOMIC AND ENVIRONMENTAL ASSESSMENT OF WASTE-TO-ENERGY DEVELOPMENT IN NIGERIA, 1981 - 2017</title>
<link href="http://hdl.handle.net/123456789/2101" rel="alternate"/>
<author>
<name>AMUSAN, Opeyemi Anthony</name>
</author>
<id>http://hdl.handle.net/123456789/2101</id>
<updated>2024-04-26T08:23:05Z</updated>
<published>2023-07-01T00:00:00Z</published>
<summary type="text">TECHNO – ECONOMIC AND ENVIRONMENTAL ASSESSMENT OF WASTE-TO-ENERGY DEVELOPMENT IN NIGERIA, 1981 - 2017
AMUSAN, Opeyemi Anthony
Poor waste management in Nigeria results in environmental and socioeconomic&#13;
problems. Managing wastes through the agelong approach of burning leads to climate&#13;
change while landfill leachate reduces soil and ground water quality. Limited number&#13;
of studies exist on the potential impact of managing wastes using waste-to-energy&#13;
recovery generation (ReGen) technology in Nigeria and how waste-to-energy (WtE),&#13;
environmental quality (EQ), and sustainable development (SD) are connected.&#13;
Therefore, this study investigated the technoeconomic and environmental impact of&#13;
using ReGen for waste management in Nigeria.&#13;
Environmental Kuznets Curve (EKC) hypothesis provided theoretical framework. Data&#13;
on indicators of WtE in Nigeria were sourced from the World Development Indicators&#13;
(1981-2017). These indicators include WtE, environmental footprint, green national&#13;
net income, human development index, fossil energy consumption, per capita income,&#13;
energy consumption, capital investment, urbanisation, trade intensity and land quality&#13;
index. Augmented Dickey Fuller was used to ascertain the stationary of the variables&#13;
specified in the model. The bound test was preferred based on the stationary of&#13;
variables at level and at difference. Since the variables are cointegrated at difference&#13;
order, the secondary time series methodology described as Autoregressive Distributive&#13;
Lag (ARDL) was used to estimate the short and long run relationship of the model.&#13;
Thus, the relationship among WtE, EQ and SD was analysed using ARDL technique at&#13;
α=0.05. The bound test was used to test for cointegration among the study variables.&#13;
Technoeconomic viability of ReGen was evaluated with Cost Benefit Analysis.&#13;
Values of the bound tests (F-Statistics) stood at 19.23 and 5.64 which are above the&#13;
upper critical values of 4.76 and 3.83 respectively at 5% p-value. This showed that&#13;
there is cointegration indicating the presence of both short and long run relationship.&#13;
The coefficient of 5.02 implies a positive relationship between WtE and EQ, that is, a&#13;
1% increase in WtE, leads to 5.02kt increase in EQ. The coefficient of 1.25 indicates&#13;
inverse relationship between WtE and SD, which means, a 1% increase in WtE,&#13;
reduces SD by 1.25kt. The WtE significantly drove EQ and SD. Though in 2017, WtE&#13;
affected EQ and SD negatively, however it translates to positive development in the&#13;
long run. EQ and energy consumption exhibit positive relationship in the short to long&#13;
run. The existence of EKC hypothesis in Nigeria was established, which contributed to&#13;
environmental degradation at the early stage and declined with increasing economic&#13;
growth in the latter stage. The generating cost of ReGen electricity was $0.71/kWh&#13;
with 6-8 years payback period and better environmental socioeconomic benefits than&#13;
equivalent diesel generators. The ReGen reduced waste by 90.0% with 332 kW net&#13;
energy output from 980 kg waste/hour.&#13;
The technoeconomic and environmental assessment of waste-to-energy enhanced&#13;
environmental quality and sustainable development between 1981 and 2017 in&#13;
Nigeria. The use of waste-to-energy recovery as a technology for solving waste&#13;
management problems is adequate, economical and environmentally viable.&#13;
Government should provide enabling environment for increased investment in wasteto-energy recovery generation.
</summary>
<dc:date>2023-07-01T00:00:00Z</dc:date>
</entry>
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