↓ Skip to main content

Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach

Overview of attention for article published in Environmental Science and Pollution Research, December 2015
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
112 Mendeley
Title
Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach
Published in
Environmental Science and Pollution Research, December 2015
DOI 10.1007/s11356-015-5883-7
Pubmed ID
Authors

Simplice Asongu, Ghassen El Montasser, Hassen Toumi

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 20%
Student > Doctoral Student 11 10%
Student > Master 10 9%
Researcher 9 8%
Other 5 4%
Other 16 14%
Unknown 39 35%
Readers by discipline Count As %
Economics, Econometrics and Finance 28 25%
Business, Management and Accounting 14 13%
Social Sciences 4 4%
Engineering 4 4%
Agricultural and Biological Sciences 3 3%
Other 13 12%
Unknown 46 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 April 2016.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#7,000
of 9,883 outputs
Outputs of similar age
#334,782
of 394,299 outputs
Outputs of similar age from Environmental Science and Pollution Research
#93
of 150 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.