Export diversification, export specialization and economic growth in G20 countries
- Authors: Siswana, Sinesipho
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52951 , vital:44898
- Description: This study sought out to empirically investigate whether it is export diversification or export concentration that would help achieve and sustain higher economic growth in the G20 countries using data over the period of 1995 to 2017. The empirical analysis uses the Autoregressive Distributed Lag (ARDL) model within a Pooled Mean Group (PMG) to evaluate the existence of a long run cointegration and as a baseline for examining whether the relationship between export diversification (concentration) and growth is nonlinear through a Nonlinear Autoregressive Distributed Lag (NARDL) model. The ARDL model confirms that the is a long run cointegration between the variables where both export diversification and concentration have a positive impact on growth. On the other hand, the NARDL model confirms that the relationship between export diversification and growth in the G20 countries is a nonlinear where a positive change in diversification has a negative effect on growth, while negative changes have a positive effect, thus, diversification has a negative effect on growth. The NARDL results for concentration do not confirm any nonlinearities, this implies that both positive and negative changes in concentration have negative and statistically insignificant effects on growth. Both the panel ARDL and panel NARDL model are superior models that can account and correct any serial autocorrelation that may exist, thus making the results robust enough. Seemingly, that both export diversification and concentration have a negative effect on growth and this effect may be attributed to the sample being a mixture of developed and developing economies, the study further analysed the effect on to sub-samples (G7 and non-G7). The results for the G7 panel show that there is no evidence of a nonlinear relationship between growth and concentration, as a positive change has a positive effect and a negative change has a negative effect. Overall, the G7 NARDL results are show that concentration will accelerate growth in developed economies in the long run more than diversification. The results for the non-G7 panel the NARDL results show that there is a linear relationship between export diversification (concentration) and growth. The overall, results of the study suggest, that for the G20 countries developmental levels need to be considered in order to know the correct export composition strategy to adopt in order to accelerate growth. With that said, in developed countries like the G7 export concentration would be beneficial in accelerating growth, while in developing countries like the non-G7 countries export diversification would accelerate growth. , Thesis (MCom) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Siswana, Sinesipho
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52951 , vital:44898
- Description: This study sought out to empirically investigate whether it is export diversification or export concentration that would help achieve and sustain higher economic growth in the G20 countries using data over the period of 1995 to 2017. The empirical analysis uses the Autoregressive Distributed Lag (ARDL) model within a Pooled Mean Group (PMG) to evaluate the existence of a long run cointegration and as a baseline for examining whether the relationship between export diversification (concentration) and growth is nonlinear through a Nonlinear Autoregressive Distributed Lag (NARDL) model. The ARDL model confirms that the is a long run cointegration between the variables where both export diversification and concentration have a positive impact on growth. On the other hand, the NARDL model confirms that the relationship between export diversification and growth in the G20 countries is a nonlinear where a positive change in diversification has a negative effect on growth, while negative changes have a positive effect, thus, diversification has a negative effect on growth. The NARDL results for concentration do not confirm any nonlinearities, this implies that both positive and negative changes in concentration have negative and statistically insignificant effects on growth. Both the panel ARDL and panel NARDL model are superior models that can account and correct any serial autocorrelation that may exist, thus making the results robust enough. Seemingly, that both export diversification and concentration have a negative effect on growth and this effect may be attributed to the sample being a mixture of developed and developing economies, the study further analysed the effect on to sub-samples (G7 and non-G7). The results for the G7 panel show that there is no evidence of a nonlinear relationship between growth and concentration, as a positive change has a positive effect and a negative change has a negative effect. Overall, the G7 NARDL results are show that concentration will accelerate growth in developed economies in the long run more than diversification. The results for the non-G7 panel the NARDL results show that there is a linear relationship between export diversification (concentration) and growth. The overall, results of the study suggest, that for the G20 countries developmental levels need to be considered in order to know the correct export composition strategy to adopt in order to accelerate growth. With that said, in developed countries like the G7 export concentration would be beneficial in accelerating growth, while in developing countries like the non-G7 countries export diversification would accelerate growth. , Thesis (MCom) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
Export diversification, export specialization and economic growth in G20 countries
- Authors: Siswana, Sinesipho
- Date: 2021-04
- Subjects: International economic relations , Macroeconomics , Economics
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52621 , vital:43693
- Description: This study sought out to empirically investigate whether it is export diversification or export concentration that would help achieve and sustain higher economic growth in the G20 countries using data over the period of 1995 to 2017. The empirical analysis uses the Autoregressive Distributed Lag (ARDL) model within a Pooled Mean Group (PMG) to evaluate the existence of a long run cointegration and as a baseline for examining whether the relationship between export diversification (concentration) and growth is nonlinear through a Nonlinear Autoregressive Distributed Lag (NARDL) model. The ARDL model confirms that the is a long run cointegration between the variables where both export diversification and concentration have a positive impact on growth. On the other hand, the NARDL model confirms that the relationship between export diversification and growth in the G20 countries is a nonlinear where a positive change in diversification has a negative effect on growth, while negative changes have a positive effect, thus, diversification has a negative effect on growth. The NARDL results for concentration do not confirm any nonlinearities, this implies that both positive and negative changes in concentration have negative and statistically insignificant effects on growth. Both the panel ARDL and panel NARDL model are superior models that can account and correct any serial autocorrelation that may exist, thus making the results robust enough. Seemingly, that both export diversification and concentration have a negative effect on growth and this effect may be attributed to the sample being a mixture of developed and developing economies, the study further analysed the effect on to sub-samples (G7 and non-G7). The results for the G7 panel show that there is no evidence of a nonlinear relationship between growth and concentration, as a positive change has a positive effect and a negative change has a negative effect. Overall, the G7 NARDL results are show that concentration will accelerate growth in developed economies in the long run more than diversification. The results for the non-G7 panel the NARDL results show that there is a linear relationship between export diversification (concentration) and growth. The overall, results of the study suggest, that for the G20 countries developmental levels need to be considered in order to know the correct export composition strategy to adopt in order to accelerate growth. With that said, in developed countries like the G7 export concentration would be beneficial in accelerating growth, while in developing countries like the non-G7 countries export diversification would accelerate growth. , Thesis (MCom) -- Faculty of Business and Economic Sciences , Economics, 2021
- Full Text:
- Date Issued: 2021-04
- Authors: Siswana, Sinesipho
- Date: 2021-04
- Subjects: International economic relations , Macroeconomics , Economics
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52621 , vital:43693
- Description: This study sought out to empirically investigate whether it is export diversification or export concentration that would help achieve and sustain higher economic growth in the G20 countries using data over the period of 1995 to 2017. The empirical analysis uses the Autoregressive Distributed Lag (ARDL) model within a Pooled Mean Group (PMG) to evaluate the existence of a long run cointegration and as a baseline for examining whether the relationship between export diversification (concentration) and growth is nonlinear through a Nonlinear Autoregressive Distributed Lag (NARDL) model. The ARDL model confirms that the is a long run cointegration between the variables where both export diversification and concentration have a positive impact on growth. On the other hand, the NARDL model confirms that the relationship between export diversification and growth in the G20 countries is a nonlinear where a positive change in diversification has a negative effect on growth, while negative changes have a positive effect, thus, diversification has a negative effect on growth. The NARDL results for concentration do not confirm any nonlinearities, this implies that both positive and negative changes in concentration have negative and statistically insignificant effects on growth. Both the panel ARDL and panel NARDL model are superior models that can account and correct any serial autocorrelation that may exist, thus making the results robust enough. Seemingly, that both export diversification and concentration have a negative effect on growth and this effect may be attributed to the sample being a mixture of developed and developing economies, the study further analysed the effect on to sub-samples (G7 and non-G7). The results for the G7 panel show that there is no evidence of a nonlinear relationship between growth and concentration, as a positive change has a positive effect and a negative change has a negative effect. Overall, the G7 NARDL results are show that concentration will accelerate growth in developed economies in the long run more than diversification. The results for the non-G7 panel the NARDL results show that there is a linear relationship between export diversification (concentration) and growth. The overall, results of the study suggest, that for the G20 countries developmental levels need to be considered in order to know the correct export composition strategy to adopt in order to accelerate growth. With that said, in developed countries like the G7 export concentration would be beneficial in accelerating growth, while in developing countries like the non-G7 countries export diversification would accelerate growth. , Thesis (MCom) -- Faculty of Business and Economic Sciences , Economics, 2021
- Full Text:
- Date Issued: 2021-04
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