University of Vaasa - Vaasan yliopisto

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chapter will also provide information for expanding the background on the energy
situation in Nigeria and help to fully understand the gap in energy need, the prospects
and concerns to control the effort to adopt biofuel use in Nigeria. The literature
review will also provide background secondary data for the preliminary analyses and
developing the study hypothesis.
Methodology
This study will employ both theoretical and empirical approaches in modeling the
impact of biofuel adoption on land use, household welfare, macroeconomic and
environmental issues in Nigeria. The study will employ methodologies from a multidisciplinary
perspective for answering the research questions and developing a policy
framework for harnessing biofuel adoption in Nigeria.
The study will use information/data gathered from both secondary sources as well as
primary sources (field surveys). Secondary data will be sourced from government
agencies’ reports such as the CBN report, National Bureau of Statistics Annual
report, national gazette, as well as other relevant national and international database.
The primary data will be sourced through field survey across Nigeria for the
collection household based data on energy consumption, social welfare, among
others. Case studies and control experimentation will also be adopted for sourcing
national data not currently available.
For data analysis, the study will adopt a range of methodologies and tools including:
− Excel based energy-costing tool: for estimating regional and national energy
consumption in Nigeria and filling the data gap for other analyses.
− Sustainable Livelihood Framework (SLA): for a theoretical estimation of
the socio-economic and welfare related impacts of the adoption of biofuel
using data from ongoing biofuel out-grower schemes and industrial adoption
of biofuel.
− GIS Mapping: for depicting the geographical spread of the biofuel capacity
across Nigeria and for projecting trends base on current land use and
population spread data.
− Input Output Analysis of Sectors: for determining cross-sector impact of
the adoption of biofuel in the real sectors of the Nigerian economy.
− CGE Modeling using GAMS: for a macroeconomic modeling and
estimation of the impacts of the adoption biofuels in Nigeria.
− Goal Programming or Linear Programming: for modeling and testing
various energy consumption scenarios in attaining socio-economic and
welfare targets for Nigeria and for developing a sustainable energy policy for
the country.