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Covenant University, Ota
Agricultural Sector Performance and Nigeria’s Fuel Subsidy Removal: A CGE Simulation Akinyemi, O., Alege, P. O., Ajayi, O. O., Adediran, O. S. and Urhie, E. Covenant University, Ota Presented at the 11th African Economic Conference (AEC) under the theme “Feeding Africa: Towards Agro-Allied Industrialization for Inclusive Growth” to hold from 5th to 7th December 2016
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Introduction The Agricultural sector
-contributes to growth and development -single largest employer of labour -source of income for many rural dwellers -instrumental to overcoming hunger (UN-SDG 2)
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Objective Investigate the response of the agricultural sector to fuel subsidy removal in Nigeria, using a dynamic simulation approach (CGE) -Given that certain policies might influence different sectors of the economy, including the agricultural sector
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Methodology The model features The dataset Simulation strategies
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Model Dynamic CGE model E2 (energy-environment) model
Follows features of standard PEP model Incorporates carbon co-efficients
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Dataset 2006 Nigerian SAM Re-aggregated to 8 sectors
Three factors of production (land, labour, capital) One government Two representative households One firm
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Simulation strategies
Partial removal (SIM 1) Gradual removal (SIM 2) Complete removal (SIM 3) Nominal exchange rate as the numeraire
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Results-Imports Price become expensive Imports fell-SIM 1
Imports rose-SIM 2&3
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CONTD Price become expensive Imports fell-SIM 1 Imports rose-SIM 2&3
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Exports SIM 1: food and agric. exports fell SIM 2&3: food and
agric. exports rose
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CONTD SIM 1: food and agric. exports fell SIM 2&3: food and
agric. exports rose
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Output SIM 1: agric. & food output shrinks SIM 2&3: output expands
More increase for SIM3
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CONTD SIM 1: agric. & food output shrinks SIM 2&3: output expands
More increase for SIM3
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Consumption SIM 1: rural consumption fell
SIM 2&3: rural consumption increased slightly SIM 1&3: urban consumption rose SIM 2: urban consumption declined
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CONTD SIM 1: rural consumption fell urban consumption
increased, though slightly
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CONTD SIM 2: rural consumption rose slightly compared to
urban consumption
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CONTD SIM 3: rural consumption rose, similarly with SIM2 results
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Conclusion The removal impacts the sector differently under varying simulations Overall, the sector has a better performance under a complete removal Increased policy attention for the rural consumers
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Policy Recommendations
Implementation of policies in other sectors of the economy-with caution Support of complementary policies to drive growth Infrastructural and technological dev. in the long term will support growth & food security
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THANK YOU FOR LISTENING Questions and comments are welcomed
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