PUBLICATIONS
The AGDI has published substantially in fulfillment of its mission statement of contributing to knowledge towards African development:
IDEAS
http://ideas.repec.org/d/agdiycm.html
ECONSTOR
https://www.econstor.eu/dspace/escollectionhome/10419/123513
Publication List
2020 |
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| 1. | Akpan, Salisu Isihak Monica Maduekwe Uduak 2020. Abstract | Links | BibTeX | Tags: Energy consumption, Road transport @unpublished{Asongu_37, author = {Salisu Isihak Monica Maduekwe Uduak Akpan}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Road-Transport-Energy-Consumption-and-Vehicular-Emissions-in-Lagos-Nigeria.pdf}, year = {2020}, date = {2020-07-23}, journal = {Transportation Research Interdisciplinary Perspectives}, abstract = {The “Avoid”, “Shift” and “Improve” (A-S-I) approach is an effective method for transforming an unsustainable transport system to a sustainable one. This study intends to examine the possible impact of the A-S-I policy measures in transforming the transportation system in Lagos - the most populous city and the commercial capital of Nigeria. The study employs the Long Range Energy Alternative Planning (LEAP) model to project future energy demand and greenhouse gas emissions to determine the most effective A-S-I option for the city. We construct a business-as-usual scenario for Lagos as well as sustainable road transport alternative policy scenarios. The results show that Lagos’ biggest obstacle to achieving its emission reduction target is the presence of very old vehicles on its roads. Our analysis shows that emission reduction in the road transport sector in Lagos is sensitive to vehicle survivability rate (i.e. the fraction of vehicles of a certain age still driven). We conclude that unless the age limit of vehicles in Lagos reduces from 40 years to 22 years, vehicle growth rate from 5% to 2% and mileage by 2% per year from 2020- 2032, Lagos may not achieve the target 50% emission reduction by 2032.}, keywords = {Energy consumption, Road transport}, pubstate = {published}, tppubtype = {unpublished} } The “Avoid”, “Shift” and “Improve” (A-S-I) approach is an effective method for transforming an unsustainable transport system to a sustainable one. This study intends to examine the possible impact of the A-S-I policy measures in transforming the transportation system in Lagos - the most populous city and the commercial capital of Nigeria. The study employs the Long Range Energy Alternative Planning (LEAP) model to project future energy demand and greenhouse gas emissions to determine the most effective A-S-I option for the city. We construct a business-as-usual scenario for Lagos as well as sustainable road transport alternative policy scenarios. The results show that Lagos’ biggest obstacle to achieving its emission reduction target is the presence of very old vehicles on its roads. Our analysis shows that emission reduction in the road transport sector in Lagos is sensitive to vehicle survivability rate (i.e. the fraction of vehicles of a certain age still driven). We conclude that unless the age limit of vehicles in Lagos reduces from 40 years to 22 years, vehicle growth rate from 5% to 2% and mileage by 2% per year from 2020- 2032, Lagos may not achieve the target 50% emission reduction by 2032. |
2016 |
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| 2. | Montasser, Hassen Toumi Simplice Asongu Ghassen El Environmental Science and Pollution Research, 23 (7), pp. 6563-6573, 2016. Abstract | Links | BibTeX | Tags: Africa, CO2 emissions, Economic growth, Energy consumption @article{Asongu_576, author = {Hassen Toumi Simplice Asongu Ghassen El Montasser}, url = {http://link.springer.com/article/10.1007/s11356-015-5883-7}, doi = {10.1007/s11356-015-5883-7}, year = {2016}, date = {2016-04-05}, journal = {Environmental Science and Pollution Research}, volume = {23}, number = {7}, pages = {6563-6573}, abstract = {This study complements existing literature by examining the nexus between energy consumption (EC), CO2 emissions (CE), and economic growth (GDP; gross domestic product) in 24 African countries using a panel autoregressive distributed lag (ARDL) approach. The following findings are established. First, there is a long-run relationship between EC, CE, and GDP. Second, a long-term effect from CE to GDP and EC is apparent, with reciprocal paths. Third, the error correction mechanisms are consistently stable. However, in cases of disequilibrium, only EC can be significantly adjusted to its long-run relationship. Fourth, there is a long-run causality running from GDP and CE to EC. Fifth, we find causality running from either CE or both CE and EC to GDP, and inverse causal paths are observable. Causality from EC to GDP is not strong, which supports the conservative hypothesis. Sixth, the causal direction from EC to GDP remains unobservable in the short term. By contrast, the opposite path is observable. There are also no short-run causalities from GDP, or EC, or EC, and GDP to EC. Policy implications are discussed.}, keywords = {Africa, CO2 emissions, Economic growth, Energy consumption}, pubstate = {published}, tppubtype = {article} } This study complements existing literature by examining the nexus between energy consumption (EC), CO2 emissions (CE), and economic growth (GDP; gross domestic product) in 24 African countries using a panel autoregressive distributed lag (ARDL) approach. The following findings are established. First, there is a long-run relationship between EC, CE, and GDP. Second, a long-term effect from CE to GDP and EC is apparent, with reciprocal paths. Third, the error correction mechanisms are consistently stable. However, in cases of disequilibrium, only EC can be significantly adjusted to its long-run relationship. Fourth, there is a long-run causality running from GDP and CE to EC. Fifth, we find causality running from either CE or both CE and EC to GDP, and inverse causal paths are observable. Causality from EC to GDP is not strong, which supports the conservative hypothesis. Sixth, the causal direction from EC to GDP remains unobservable in the short term. By contrast, the opposite path is observable. There are also no short-run causalities from GDP, or EC, or EC, and GDP to EC. Policy implications are discussed. |