ANALYSIS OF CARBON EMISSION TRENDS AND ECONOMIC GROWTH IN NIGERIA
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Abstract
About This Research Topic
Climate change driven by anthropogenic greenhouse gases represents defining environmental and developmental challenge of twenty-first century. Carbon dioxide primary GHG by volume released through fossil fuel combustion, industrial processes, flaring and biomass use has risen from 280 ppm pre-industrial to over 421 ppm in 2023 driving 1.1C warming, sea level rise and extreme weather. Understanding relationship between economic development and environmental quality has been central question in environmental economics for three decades.
Environmental Kuznets Curve hypothesis proposed by Grossman and Krueger 1991 and named after Simon Kuznets posits inverted U-shaped relationship between per capita income and degradation: pollution initially rises as low-income countries prioritise production, then declines as incomes rise shifting preferences toward environmental quality and enabling cleaner technology. Nigeria as Africa's largest economy and most populous nation is major and growing emitter estimated at 120-140 million tonnes annually, third or fourth largest in Africa, driven by petroleum production and gas flaring, ageing transport fleet, industrial process emissions and near-universal biomass cooking and diesel generators. Economic growth has been volatile with strong growth 2003-2014 averaging above 7 percent interspersed with oil-price recessions, providing multi-decade variation to test EKC. This article for SCHOLARNESTHUB presents rewritten SEO-optimized analysis of 43-year time series 1980-2022 testing EKC for Nigeria using ARDL bounds testing framework. Students exploring similar econometric designs can see environmental economics project topics on SCHOLARNESTHUB.
Main Abstract
Nigeria as Africa's largest economy and most populous nation faces challenge of sustaining rapid economic growth while managing greenhouse gas emissions substantial and growing due to dependence on petroleum production and combustion flared gas transport emissions and large-scale biomass energy consumption. Environmental Kuznets Curve hypothesis posits inverted U-shaped relationship between per capita income and environmental degradation providing framework whether growth can eventually reduce emissions. Study tested EKC hypothesis for Nigeria using annual time series 1980-2022 43 years on CO2 emissions per capita GDP per capita energy consumption trade openness urbanisation rate and industrial value added. Autoregressive Distributed Lag bounds testing examined long-run co-integration and Error Correction Model estimated short-run adjustment. Study also applied Mann-Kendall trend test Augmented Dickey-Fuller unit root tests and Granger causality. ADF confirmed all variables I(1). ARDL bounds confirmed long-run co-integration F-statistic 6.847 exceeding 1 percent upper critical bound 4.26. Long-run ARDL estimates confirmed inverted U-shaped EKC: GDP per capita positive beta 0.847 p<0.001 and GDP per capita squared negative beta -0.0000412 p<0.001 turning point approximately USD 4,287 per capita 2015 constant prices. Nigeria current per capita income approximately USD 2,100 indicating still on ascending portion and CO2 expected to continue rising toward turning point. Energy consumption strongest positive predictor beta 0.612 p<0.001. Granger causality confirmed bidirectional causality between energy consumption and economic growth consistent with feedback hypothesis. ECM coefficient -0.387 p<0.001 indicates 38.7 percent of short-run deviation corrected within one year. All four null hypotheses rejected. Study recommends accelerating renewable transition solar wind hydro to decouple growth from emissions implementing carbon pricing through Nigeria Emission Trading Scheme expanding natural gas for cooking to replace biomass and pursuing energy efficiency standards for industrial and transport sectors.
Chapter One Preview
Background to the Study
Global CO2 concentrations rise and temperature increase have intensified focus on growth-emissions nexus. EKC hypothesis provides testable framework: at low income scale effect dominates leading to higher emissions, at higher income composition effect shifts toward services and technique effect brings cleaner technology and regulation, producing inverted U. Empirical literature shows mixed results depending on pollutant, country, and method. Nigeria context important because total emissions large, sources diverse including unique gas flaring contributing significant methane and CO2, transport sector with rapidly growing fleet, and diffuse domestic biomass emissions that are informally estimated from household surveys with high uncertainty.
ARDL bounds testing introduced by Pesaran Shin and Smith 2001 provides appropriate framework for time series EKC testing. Unlike Johansen requiring all variables same integration order, ARDL accommodates mix I(0) and I(1) suitable for macro series and enables simultaneous short-run and long-run estimation via ECM. ECM coefficient captures speed of adjustment toward long-run equilibrium after shocks such as oil price collapses 1986, 1998, 2008, 2016, 2020. Granger causality tests direction of energy-growth relationship informing whether conservation policies harm growth.
For theoretical background see EPA climate change basics and EIA CO2 emissions data and econometric methods in World Bank climate change knowledge. Related methodologies in economics project topics on SCHOLARNESTHUB.
Statement of the Problem
Despite Nigeria significance as major African emitter and global urgency of growth-emissions nexus in developing economies, rigorous time series analysis of EKC hypothesis for Nigeria using ARDL bounds testing with comprehensive set of determinants remains underrepresented. Most existing Nigerian EKC studies embedded in multi-country panels pooling Nigeria with other African or developing countries preventing country-specific policy conclusions. Country-specific ARDL analysis covering full 1980-2022 period with explicit estimation of turning point and Granger causality testing between energy and growth provides most actionable evidence for Nigeria climate policy, particularly for design of Nationally Determined Contribution under Paris Agreement.
Aim and Objectives of the Study
· Describe trends in CO2 emissions per capita and GDP per capita in Nigeria 1980-2022 using descriptive statistics and Mann-Kendall trend testing.
· Test for unit roots in all time series variables using Augmented Dickey-Fuller test.
· Apply ARDL bounds testing procedure to establish existence of long-run co-integrating relationship between CO2 emissions GDP and control variables.
· Estimate long-run EKC equation using ARDL framework and test for inverted U-shaped relationship.
· Estimate EKC turning point income level for Nigeria.
· Conduct Granger causality tests to determine causal direction of energy-growth relationship.
· Make evidence-based policy recommendations for decoupling Nigerian economic growth from carbon emissions.
Research Questions
· What are trends in CO2 emissions per capita and GDP per capita in Nigeria 1980-2022?
· Is there long-run co-integrating relationship between CO2 emissions GDP and control variables in Nigeria?
· Does EKC hypothesis hold for Nigeria and if so what is estimated turning point income level?
· What is causal direction of relationship between energy consumption and economic growth in Nigeria?
Research Hypotheses
H01: There is no long-run co-integrating relationship between CO2 emissions per capita and GDP per capita in Nigeria.
H02: GDP per capita does not have statistically significant positive long-run effect on CO2 emissions per capita.
H03: GDP per capita squared does not have statistically significant negative long-run effect on CO2 emissions per capita i.e. EKC inverted U-shape not supported.
H04: There is no Granger causality between energy consumption and GDP growth in Nigeria.
Significance of the Study
Policy Significance: Turning point estimate informs climate policy design. If turning point within foreseeable income trajectory current growth strategies may eventually self-correct toward emission reduction. If far above current income levels deliberate intervention carbon pricing renewable subsidies necessary to avoid decades of continued growth. This distinction fundamental for Nigeria NDC under Paris Agreement. Academic Significance: Contributes to empirical EKC literature for sub-Saharan African economies underrepresented relative to Asian and Latin American studies. ARDL bounds testing applied to 43-year series provides more reliable country-specific estimates than panels imposing homogeneity. Practical insights for energy policy design explored in energy economics project topics on SCHOLARNESTHUB.
Scope of the Study
Uses annual national-level time series data for Nigeria 1980-2022 43 annual observations. Primary variables: CO2 emissions per capita metric tonnes GDP per capita constant 2015 USD energy consumption per capita kg of oil equivalent trade openness percent of GDP urbanisation rate percent of population and industrial value added percent of GDP. Focus on national aggregate trends.
Limitations of the Study
· Uses aggregate national CO2 emissions which may mask sector-level or regional variation.
· Energy consumption data for Nigeria have significant uncertainty particularly biomass energy sector largely informal estimated from household surveys.
· 43-year time series while adequate for ARDL may lack sufficient degrees of freedom for some specifications with multiple lag orders.
· EKC model does not account for structural breaks associated with major economic shocks oil price collapses 1986 1998 2008 2016 2020 which may bias estimated turning point.
· Cannot distinguish between genuine emission reductions driven by technology improvement and apparent reductions driven by economic contraction during recessions.
Operational Definition of Terms
Environmental Kuznets Curve (EKC): Inverted U-shaped relationship between per capita income and environmental degradation positing pollution initially increases with growth then declines after threshold.
ARDL Bounds Testing: Co-integration testing approach tests long-run relationship using F-statistic compared with critical bounds applicable when variables mix I(0) and I(1) introduced by Pesaran Shin Smith 2001.
Error Correction Model (ECM): Short-run dynamic specification derived from ARDL including error correction term capturing speed of adjustment toward long-run equilibrium after short-run deviations ECM -0.387 indicates 38.7 percent correction within one year.
Granger Causality: Statistical test whether past values of one variable improve prediction of another beyond own past values; X Granger-causes Y if adding lags of X reduces forecast error.
Turning Point (EKC): Per capita income level at which EKC reaches peak after which emissions decline calculated as -beta1/(2*beta2) in quadratic specification estimated at USD 4,287 for Nigeria.
Unit Root: Stochastic trend with unit autoregressive root series does not revert to mean series with unit root integrated I(1) differencing once makes stationary I(0).
Short Conclusion
ARDL bounds testing confirmed long-run co-integration F=6.847 exceeding 1 percent upper bound 4.26. Long-run coefficients confirm inverted U-shaped EKC for Nigeria with GDP positive beta 0.847 and squared negative beta -0.0000412 both p<0.001 turning point USD 4,287 per capita 2015 constant prices. Current income approximately USD 2,100 indicates Nigeria still on ascending portion so CO2 expected to continue rising toward turning point without intervention. Energy consumption strongest predictor beta 0.612 and bidirectional Granger causality with growth supports feedback hypothesis. ECM -0.387 indicates moderate adjustment speed. Policy recommendations include accelerating renewable transition solar wind hydro to decouple growth from emissions, implementing carbon pricing through Nigeria Emission Trading Scheme, expanding natural gas for cooking to replace biomass, and pursuing energy efficiency standards for industrial and transport sectors to reach turning point earlier. Implementation pathways discussed in climate change project topics on SCHOLARNESTHUB.
Frequently Asked Questions
Q: What is Environmental Kuznets Curve hypothesis for Nigeria?
A: Hypothesis posits inverted U-shaped relationship between GDP per capita and CO2 per capita; emissions rise at low income then decline after threshold income turning point estimated at USD 4,287 for Nigeria.
Q: Does EKC hold for Nigeria based on this study?
A: Yes long-run ARDL estimates confirmed inverted U: GDP positive beta 0.847 p<0.001 and GDP squared negative beta -0.0000412 p<0.001 with co-integration F=6.847 exceeding critical bounds.
Q: What is Nigeria's current position on EKC curve?
A: Current per capita income approx USD 2,100 below turning point USD 4,287 indicating still on ascending portion so emissions expected to continue rising as income grows without policy intervention.
Q: What drives CO2 emissions most strongly in Nigeria?
A: Energy consumption strongest positive predictor beta 0.612 p<0.001 reflecting petroleum combustion gas flaring transport and biomass energy.
Q: What is ARDL bounds testing approach?
A: Co-integration test applicable to mix I(0) and I(1) variables testing long-run relationship via F-statistic compared to critical bounds introduced by Pesaran et al 2001 enabling short and long-run estimation via ECM.
Q: What does ECM coefficient -0.387 mean?
A: 38.7 percent of any short-run deviation from long-run equilibrium corrected within one year indicating moderate speed of adjustment toward equilibrium.
Q: What is Granger causality finding for energy and growth?
A: Bidirectional causality between energy consumption and GDP growth confirming feedback hypothesis meaning energy conservation may affect growth and growth drives energy use.
Q: What policy recommendations to decouple growth from emissions?
A: Accelerate renewable transition solar wind hydro, implement carbon pricing via Emission Trading Scheme, expand natural gas for cooking replacing biomass, enforce energy efficiency standards for industry and transport.
Q: What data period and variables were used?
A: Annual time series 1980-2022 43 years on CO2 per capita GDP per capita energy consumption trade openness urbanisation rate industrial value added tested for unit roots via ADF all I(1).
Q: Why are Nigeria's emission data uncertain?
A: Biomass sector largely informal estimated from household surveys and aggregate national data masks sectoral regional variation and does not fully account for structural breaks from oil price collapses.
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