2015
DOI: 10.1007/s11356-015-5883-7
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Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach

Abstract: This study complements existing literature by examining the nexus between energy consumption (EC), CO 2 emissions (CE) and economic growth (GDP) in 24 African countries using a panel 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… Show more

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Cited by 139 publications
(28 citation statements)
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References 49 publications
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“…In line with Pesaran et al [54] cross-dependency test, the null hypothesis is that there is no cross-section dependence (correlation in residuals). The results from the test presented in Table 3, which shows that this study failed to reject the null hypothesis of no cross-sectional dependency in all the four panels.…”
Section: Cross-dependency Testmentioning
confidence: 63%
See 1 more Smart Citation
“…In line with Pesaran et al [54] cross-dependency test, the null hypothesis is that there is no cross-section dependence (correlation in residuals). The results from the test presented in Table 3, which shows that this study failed to reject the null hypothesis of no cross-sectional dependency in all the four panels.…”
Section: Cross-dependency Testmentioning
confidence: 63%
“…Table 8 shows the coefficients for the cointegration vectors for ANS, HIVPREV, HCI, and CLG, respectively. It is sufficient to say that the signs and intervals of ECTs from Table 8 are consistent with theory, meaning that a negative ECT ranges between 0 and 1 and is imperative for a stable error correction mechanism [54]. A positive ECT implies deviation from the equilibrium, while a negative ECT is important for the restoration of equilibrium following an exogenous shock.…”
Section: Long-and Short-run Estimatesmentioning
confidence: 72%
“…In line with previous literature (Asongu, El Montasser, and Toumi 2016;Asongu, Le Roux, and Biekpe 2018;Shahzad, Sarwar, and Amin 2018), the study employs the GMM method developed by Arellano and Bond (1991). The decision to apply the GMM model is based on three main reasons.…”
Section: Estimation Strategymentioning
confidence: 97%
“…According to PMG estimators, the long-run coefficients were constrained to be matching to ECM because, in PMG estimate, the long-run coefficients were likely to vary from the error variances. This estimator was followed by undertaking the assumptions that the short-term coefficient is heterogeneous, while long-run slope coefficients are homogenous [49]. The initial conditions in this estimating method were considered as random or fixed, while the long-run coefficients were considered as a non-linear amalgamation of short-run coefficients.…”
Section: Ardl Approachmentioning
confidence: 99%