2020
DOI: 10.1007/s42452-020-2490-0
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Petroleum production impacts on the economic growth of the OPEC countries: panel ARDL approach

Abstract: The object of this study is to examine the relation between economic growth, in terms of gross domestic production (GDP) and petroleum production (PP) for the Organization of Petroleum Exporting Countries over the period of 2000-2016. The panel co-integration tests were applied to appraise the being of the relationship while the dynamic OLS (DOLS) and fully modified OLS (FMOLS) panel co-integration methods were applied to explore the long-run effect of PP on the GDP growth. Moreover, to estimate the short-run … Show more

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Cited by 7 publications
(4 citation statements)
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“…According to Phillips and Hansen [103], testing the ARDL results by FMOLS allows one to correct the system for endogeneity and serial correlation effects. It is a non-parametric method to identify a correlation between the components of model error terms [104]. The approach was used by Narayan and Narayan [105], Abu [106], and Adebayo [97] to test the interactions between various macroeconomic variables, including trade volume, inflation, and currency depreciation.…”
Section: Interactionmentioning
confidence: 99%
See 1 more Smart Citation
“…According to Phillips and Hansen [103], testing the ARDL results by FMOLS allows one to correct the system for endogeneity and serial correlation effects. It is a non-parametric method to identify a correlation between the components of model error terms [104]. The approach was used by Narayan and Narayan [105], Abu [106], and Adebayo [97] to test the interactions between various macroeconomic variables, including trade volume, inflation, and currency depreciation.…”
Section: Interactionmentioning
confidence: 99%
“…Its estimators obtained from least-squares estimates are unbiased and asymptotically efficient even in the presence of the endogenous problem [111]. Echoing the successful application of both FMOLS and DOLS in testing the robustness of the ARDL results by Yuzbashkandi and Sadi [104], Pasha and Ramzan [112], Priyankara [107], and Adebayo [97] we consider these two methods as efficient estimators to study serial interactions and examine potential correlations between Y and X (1-4) . Some scholars, for instance, Aliyev et al [81], Guan et al [113], Yue et al [114], and Rahman et al [115], further checked FMOLS and DOLS results by employing the canonical cointegration regression (CCR).…”
Section: Interactionmentioning
confidence: 99%
“…At Stage 3, robustness checks of the short-run and long-run ARDL results are made by implementing a combination of the fully-modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (DOLS) methods, which is an approach previously tested by Yuzbashkandi and Sadi [101], Pasha and Ramzan [102], Erokhin and Gao [62], Adebayo [95], and many other authors. The selection of the FMOLS is explained by the fact that the method allows one to receive consistent parameters even in the small samples in the short-run [62].…”
Section: Methodology Frameworkmentioning
confidence: 99%
“…Also Yuzbashkandi and Sadi (2020) examine the relation between economic growth (GDP) and petroleum production for the Organization of Petroleum Exporting Countries over the period of 2000-2016. The panel co-integration tests were applied to appraise the being of the relationship while the dynamic OLS (DOLS) and fully modified OLS (FMOLS) panel co-integration methods were applied to explore the long-run effect of petroleum production on the GDP growth.…”
Section: Littérature Reviewmentioning
confidence: 99%