Environmental sustainability of the Nigeria transport sector through decomposition and decoupling analysis with future framework for sustainable transport pathways

Abam, Fidelis I.; Ekwe, Ekwe B.; Diemuodeke, Ogheneruona E.; Ofem, Michael Ikpi; Okon, Bassey B.; Kadurumba, Chukwuma H.; Archibong-Eso, Archibong; Effiom, Samuel O.; Egbe, Jerome; Ukueje, Wisdom Etabiese

doi:10.1016/j.egyr.2021.05.044

Cited by 19 publications

(6 citation statements)

References 33 publications

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“…( 12 ) are decomposed based on the LMDI technique, and respective values are presented in Eqs. ( 13 )–( 19 ) [ 45 , 46 ]. where L is the logarithmic mean weight defined as .…”

Section: Methodology and Model Formulationmentioning

confidence: 99%

Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation

2022

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The CO2 emissions trend and their reduction potential in the Nigerian manufacturing sector from 2010 to 2020 were studied. The Logarithmic Mean Divisia Index was applied to decompose the change in CO2 emissions into pre-set factors: carbon intensity effects, firm energy intensity effects, cost structure effects, asset-turnover effect, asset-to-equity effect, equity-funded production effect and productive capacity utilization. The results show that the change in emissions increased by $$1668\times {10}^{12}$$ 1668 × 10 12 GJ between 2010 and 2020. Energy intensity and equity-funded production were the leading drivers of increased emissions, while productive capacity utilization reduced emissions. The CO2 emissions increased throughout the study, except for a few periods. Without a carbon tax policy, the results show that firm-level drivers increased CO2 emissions in the business-as-usual scenario. However, under the 5% carbon tax (CAT) policy scenario on energy consumption, there was a reduction in CO2 emissions between 2010 and 2020. Furthermore, a CAT policy of 5% on energy consumption reduced CO2 emissions by 22%. A further implication of CAT policy, given its interaction with firm-level drivers, resulted in lowering CO2 emissions in the interactional scenario. The findings indicate productive capacity utilization, equity-funded production, and CAT impacted CO2 emissions variation.

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“…( 12 ) are decomposed based on the LMDI technique, and respective values are presented in Eqs. ( 13 )–( 19 ) [ 45 , 46 ]. where L is the logarithmic mean weight defined as .…”

Section: Methodology and Model Formulationmentioning

confidence: 99%

Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation

2022

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“…They concluded that a 50 % emission reduction by 2032 is achievable if the age limit of vehicles and the growth in vehicle ownership are reduced from 40 years to 22 years and from 5 % to 2 %, respectively. Abam et al [15] studied the Nigerian transport sector through decomposition and decoupling analysis using historical data from 1988 to 2019. The study, based on the Logarithmic Mean Divisa Index (LMDI) and the Tapio approach, estimated the overall impact of carbon emissions from the transport sector at 44.45 million tonnes of CO 2 , which is about a 163 % increase in the overall country's carbon emissions during the period under study.…”

Section: A2mentioning

confidence: 99%

“…Air pollutant emissions (CO, NO x and PM) are considered to be a function of energy consumption and fuel-specific emission factors. The EMEP/EEA Tier 1 Approach is applied to calculate for these emissions using Equation (15). The emission factors are given in Table 1.…”

Section: Ghg and Air Pollutant Emissions Computationmentioning

confidence: 99%

Grey Model Analysis of Vehicle Population, Road Transport Energy Consumption and Vehicular Emissions

C.N.¹,

Ekwe²,

Ishaq³

et al. 2023

Communications

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This study employs the grey models to explore Nigeria's road transport energy consumption, vehicle population and vehicular emissions. The vehicular emissions were evaluated using the European Environment Agency Tier 1 Approach, based on the fuel consumption. A baseline scenario, based on historical data and three other alternative scenarios were developed. The study considered fuel quality, vehicle technology and survival rates as the key drivers of scenario formulation. Results show that vehicle population increases by about 3.58 % annually from 12.9 million units in 2018 to 38.5 million in 2050. Analysis of the alternative pathways reveals that their adoption would significantly reduce road transport energy consumption and air pollutant emissions.

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“…Moreover, designers should also pay attention to the increased emission of pollutants caused by congestion and detours, which has attracted significant attention with the development and deepening of the concept of sustainability [ 18 , 19 , 20 ]. The reduction in pollutants from the emission standards upgrade would be completely offset by congestion, and even heavy congestion would lead to a large increase in emissions [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Design Method for Highway Adjacent Tunnel and Exit Connection Section Length Based on Entropy Method

Liu

Pan

Zhang

et al. 2022

Entropy

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With the continuous construction of transportation infrastructure, intersection nodes have been increasing rapidly, bringing growing numbers of tunnel- and exit-adjacent sections (TEAS) in mountain expressways in China. With the complex variation in the surrounding environment, drivers always face congestion and confusion on tunnel and the exit connecting sections (TECS) without adequate length, meanwhile excessively long TECS create detours. To better provide a sustainable design strategy for TEAS, based on a certain section of expressway in Shaanxi, China, this paper establishes a theoretical calculation model through analysis. The characteristics of traffic flow and drivers’ light adaptation at tunnel exit are obtained through data collection and driving tests, and the length requirements of the tunnel and exit connecting sections (TECS) are discussed. A VISSIM microscopic simulation model is also built under various design schemes and entropy-based multi-attribute decision making (EBMADM) is used to objectively calculate the weights of the four selected evaluation indexes. Then, the design schemes of the TECS with different lengths have been comprehensively evaluated. The results show the match between the evaluation results of EBMADM with theoretical calculations under existing traffic conditions, which proves the rationality of EBMADM in such problems. For more cases, the results of the EBMADM evaluation show a positive correlation between the length of TECS for the best performing design scheme with traffic volume and diverging ratio.

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Environmental sustainability of the Nigeria transport sector through decomposition and decoupling analysis with future framework for sustainable transport pathways

Cited by 19 publications

References 33 publications

Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation

Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation

Grey Model Analysis of Vehicle Population, Road Transport Energy Consumption and Vehicular Emissions

Evaluation of Design Method for Highway Adjacent Tunnel and Exit Connection Section Length Based on Entropy Method

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