Measuring the elasticity of electricity demand in South Africa: implications for future demand and supply
- Authors: Kosiorek, Sebastian
- Date: 2018
- Subjects: Electric power consumption -- South Africa , Electric power distribution -- South Africa , Electric power production -- South Africa , Electric power failures -- South Africa , Electric utilities -- Law and legislation -- South Africa , Autoregression (Statistics) , Renewable energy sources -- South Africa , Energy policy -- South Africa , Integrated Resource Plan
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62472 , vital:28196
- Description: A key economic issue for government is the ability to effectively match electricity supply to electricity demand, because of the substantial economic losses in the case of where there is too little supply, or the waste of scarce resources where there is too much supply. In the case of South Africa, this issue, the importance of which was highlighted by the power shortages and associated “rolling blackouts” experience in 2008, has led to the creation of the Integrated Resource Plan (IRP) as a means to decide how energy policy will be developed. Recently, however, the IRP 2010 and its subsequent 2013 and 2016 (draft) updates have been criticised as being too optimistic in regards to their projections of economic growth and electricity demand, making the recommendations in these documents to be flawed. Using monthly data from January 1990 to May 2017, together with Autoregressive Distributed Lag (ARDL) bounds testing for cointegration, this paper measures changes in the elasticity of electricity demand as a result of the massive price hikes over the past decade. Thereafter, the implications of changed electricity as well as possibly lower Gross Domestic Product (GDP) growth in the future for forecasts of possible future demand for electricity are examined. From these revised forecasts, it is possible to make appropriate recommendations in regards to electricity supply policy for South Africa including what possible energy mix is needed as well as the requirements for creating new supply to meet possible future demand. It is concluded that future electricity demand is likely to be much lower than forecast in the IRP 2010 and IRP 2013 documents. The degree of uncertainty in electricity demand growth suggests that large-scale increases in supply capacity taking years to construct, such as coal or nuclear, should be avoided. Small, incremental increases in supply that are able to come on stream swiftly, such as gas, solar and wind power, are likely to be more appropriate for meeting South Africa’s future needs.
- Full Text:
- Date Issued: 2018
- Authors: Kosiorek, Sebastian
- Date: 2018
- Subjects: Electric power consumption -- South Africa , Electric power distribution -- South Africa , Electric power production -- South Africa , Electric power failures -- South Africa , Electric utilities -- Law and legislation -- South Africa , Autoregression (Statistics) , Renewable energy sources -- South Africa , Energy policy -- South Africa , Integrated Resource Plan
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62472 , vital:28196
- Description: A key economic issue for government is the ability to effectively match electricity supply to electricity demand, because of the substantial economic losses in the case of where there is too little supply, or the waste of scarce resources where there is too much supply. In the case of South Africa, this issue, the importance of which was highlighted by the power shortages and associated “rolling blackouts” experience in 2008, has led to the creation of the Integrated Resource Plan (IRP) as a means to decide how energy policy will be developed. Recently, however, the IRP 2010 and its subsequent 2013 and 2016 (draft) updates have been criticised as being too optimistic in regards to their projections of economic growth and electricity demand, making the recommendations in these documents to be flawed. Using monthly data from January 1990 to May 2017, together with Autoregressive Distributed Lag (ARDL) bounds testing for cointegration, this paper measures changes in the elasticity of electricity demand as a result of the massive price hikes over the past decade. Thereafter, the implications of changed electricity as well as possibly lower Gross Domestic Product (GDP) growth in the future for forecasts of possible future demand for electricity are examined. From these revised forecasts, it is possible to make appropriate recommendations in regards to electricity supply policy for South Africa including what possible energy mix is needed as well as the requirements for creating new supply to meet possible future demand. It is concluded that future electricity demand is likely to be much lower than forecast in the IRP 2010 and IRP 2013 documents. The degree of uncertainty in electricity demand growth suggests that large-scale increases in supply capacity taking years to construct, such as coal or nuclear, should be avoided. Small, incremental increases in supply that are able to come on stream swiftly, such as gas, solar and wind power, are likely to be more appropriate for meeting South Africa’s future needs.
- Full Text:
- Date Issued: 2018
The relationship between electricity supply and economic growth in South Africa
- Authors: Khobai, Hlalefang
- Date: 2016
- Subjects: Economic development -- South Africa , Electric power failures -- South Africa
- Language: English
- Type: Thesis , Doctoral , DCom
- Identifier: http://hdl.handle.net/10948/9251 , vital:26483
- Description: Since democratisation of South Africa in 1994, the economy of South Africa underwent significant structural changes. Among these structural changes was electrification for the poor rural areas. During the apartheid era, about two-thirds of the nation lacked access to electricity and hence, provision for electricity to everyone was considered a crucial part of the economic development, post 1994. Since then economic growth and the demand for electricity in South Africa have been increasing at an unprecedented rate. The electricity supply did not increase proportionally to the increase in the consumption of electricity. In responding to the high increase in the demand for electricity, the electricity utility planned to build new power stations and put back in use the ones which were mothballed. But unfortunately the plan for investment in these power stations was late and in 2008, the existing power stations could not manage to supply enough electricity. The demand for electricity was such that it nearly damaged the power generating circuit and the electricity supply utility had to resort to load shedding. The imbalance between electricity supply and demand led to industrial sectors losing on production and as a result led to a downturn in economic growth. It also led to an increase in electricity prices which had a negative effect on individual and private sectors’ purchasing power. It is against this background that this study is designed to investigate the long term relationship between economic growth and electricity supply. The additional variables such as electricity prices, trade openness, capital and employment were included as intermittent variables to form a multivariate framework. This study also assesses the Granger causality between these variables to determine which variable supersedes the other. Two models were applied in this study: The Auto-regressive Distributed Lag (ARDL) bounds approach and the Vector Error Correction Model (VECM) Granger-causality. The ARDL bounds technique was used to detect the long term relationship between economic growth, electricity supply, electricity prices, trade openness, capital and employment using annual data from 1985 to 2014. The ARDL technique was chosen over the conventional models such as Engle and Granger (1987) and Johansen (1988) for the research for the following reasons: Firstly, the ARDL technique uses a single reduced form of equation to examine the long term relationship of the variables as opposed to the conventional Johansen test that employs a system of equations. Secondly, it is suitable to use for testing co-integration when a small sample data is used. Thirdly, it does not require the underlying variables to be integrated of similar order e.g. integrated of order zero I(0), integrated of order one I(1) or fractionally integrated, for it to be applicable. Lastly, it does not rely on the properties of unit root datasets and this makes it possible for the Granger-causality to be applied in testing the long term relationships between the variables. The VECM Granger-causality is used to examine the Granger-causality between the chosen variables. It was chosen for its ability to develop longer term forecasting when dealing with an unconstrained model. The unit root results confirmed that the variables were stationary at first difference using Augmented Dickey Fuller (ADF), Phillips and Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shit (KPSS). The ARDL bound approach outcomes revealed that economic growth, electricity supply, trade openness, electricity prices, employment and capital move together in the long term. There were three co-integrated equations under the export and trade models while under the import model there was one co-integrated equation. The results are such that electricity prices have a negative impact on economic growth. The results further evidenced that; electricity supply, trade openness, employment and capital have a positive impact on economic growth in the long term. The VECM Granger causality findings suggested a unidirectional causality flowing from electricity supply, trade, exports, electricity prices, employment and capital to economic growth in the long term. There was another unidirectional causality established flowing from economic growth, trade openness, electricity prices, employment and capital to electricity supply. A one-way causality flowing from economic growth, electricity supply, electricity prices, employment and capital to export was evidenced. Overall, the study’s results of bidirectional Granger-causality between electricity supply and economic growth have a number of implications for forecasters and policy makers. This feedback hypothesis implies that the high level of economic growth leads to a high level of electricity supply, which would stimulate economic growth. Hence, South Africa demonstrates a kind of electricity dependence in a manner that a sufficiently large supply of electricity seems to ensure high economic growth. Electricity supply is a vitally important factor for economic growth in South Africa. It is therefore necessary that South African policy makers formulate investor friendly policies that will encourage, promote and attract capital inflows to stimulate electricity supply. The South African government needs to primarily deregulate the electricity supply industry which is owned by Eskom (a monopoly), and allow more investors into this industry. The government should promote a change to other forms of energy sources such as renewable energy sources which will play an important role in restoring the balance between electricity supply and consumption. Moreover, it is recommended that the electricity regulator should take steps to curb the severe electricity price increases and to ensure prices affordable to the poor communities. The policy makers need to implement some investor friendly policies that will encourage and promote capital formation. Furthermore, the government should invest towards more job creating sectors such as (Small and Medium Enterprises) SMEs. Finally, the government should take into consideration the importance of trade openness to attract international investments into the economy. It is hoped that the findings of this study would prove beneficial to policy makers in South Africa and elsewhere in the world where power outages are experienced, and assist them in combating the problem.
- Full Text:
- Date Issued: 2016
- Authors: Khobai, Hlalefang
- Date: 2016
- Subjects: Economic development -- South Africa , Electric power failures -- South Africa
- Language: English
- Type: Thesis , Doctoral , DCom
- Identifier: http://hdl.handle.net/10948/9251 , vital:26483
- Description: Since democratisation of South Africa in 1994, the economy of South Africa underwent significant structural changes. Among these structural changes was electrification for the poor rural areas. During the apartheid era, about two-thirds of the nation lacked access to electricity and hence, provision for electricity to everyone was considered a crucial part of the economic development, post 1994. Since then economic growth and the demand for electricity in South Africa have been increasing at an unprecedented rate. The electricity supply did not increase proportionally to the increase in the consumption of electricity. In responding to the high increase in the demand for electricity, the electricity utility planned to build new power stations and put back in use the ones which were mothballed. But unfortunately the plan for investment in these power stations was late and in 2008, the existing power stations could not manage to supply enough electricity. The demand for electricity was such that it nearly damaged the power generating circuit and the electricity supply utility had to resort to load shedding. The imbalance between electricity supply and demand led to industrial sectors losing on production and as a result led to a downturn in economic growth. It also led to an increase in electricity prices which had a negative effect on individual and private sectors’ purchasing power. It is against this background that this study is designed to investigate the long term relationship between economic growth and electricity supply. The additional variables such as electricity prices, trade openness, capital and employment were included as intermittent variables to form a multivariate framework. This study also assesses the Granger causality between these variables to determine which variable supersedes the other. Two models were applied in this study: The Auto-regressive Distributed Lag (ARDL) bounds approach and the Vector Error Correction Model (VECM) Granger-causality. The ARDL bounds technique was used to detect the long term relationship between economic growth, electricity supply, electricity prices, trade openness, capital and employment using annual data from 1985 to 2014. The ARDL technique was chosen over the conventional models such as Engle and Granger (1987) and Johansen (1988) for the research for the following reasons: Firstly, the ARDL technique uses a single reduced form of equation to examine the long term relationship of the variables as opposed to the conventional Johansen test that employs a system of equations. Secondly, it is suitable to use for testing co-integration when a small sample data is used. Thirdly, it does not require the underlying variables to be integrated of similar order e.g. integrated of order zero I(0), integrated of order one I(1) or fractionally integrated, for it to be applicable. Lastly, it does not rely on the properties of unit root datasets and this makes it possible for the Granger-causality to be applied in testing the long term relationships between the variables. The VECM Granger-causality is used to examine the Granger-causality between the chosen variables. It was chosen for its ability to develop longer term forecasting when dealing with an unconstrained model. The unit root results confirmed that the variables were stationary at first difference using Augmented Dickey Fuller (ADF), Phillips and Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shit (KPSS). The ARDL bound approach outcomes revealed that economic growth, electricity supply, trade openness, electricity prices, employment and capital move together in the long term. There were three co-integrated equations under the export and trade models while under the import model there was one co-integrated equation. The results are such that electricity prices have a negative impact on economic growth. The results further evidenced that; electricity supply, trade openness, employment and capital have a positive impact on economic growth in the long term. The VECM Granger causality findings suggested a unidirectional causality flowing from electricity supply, trade, exports, electricity prices, employment and capital to economic growth in the long term. There was another unidirectional causality established flowing from economic growth, trade openness, electricity prices, employment and capital to electricity supply. A one-way causality flowing from economic growth, electricity supply, electricity prices, employment and capital to export was evidenced. Overall, the study’s results of bidirectional Granger-causality between electricity supply and economic growth have a number of implications for forecasters and policy makers. This feedback hypothesis implies that the high level of economic growth leads to a high level of electricity supply, which would stimulate economic growth. Hence, South Africa demonstrates a kind of electricity dependence in a manner that a sufficiently large supply of electricity seems to ensure high economic growth. Electricity supply is a vitally important factor for economic growth in South Africa. It is therefore necessary that South African policy makers formulate investor friendly policies that will encourage, promote and attract capital inflows to stimulate electricity supply. The South African government needs to primarily deregulate the electricity supply industry which is owned by Eskom (a monopoly), and allow more investors into this industry. The government should promote a change to other forms of energy sources such as renewable energy sources which will play an important role in restoring the balance between electricity supply and consumption. Moreover, it is recommended that the electricity regulator should take steps to curb the severe electricity price increases and to ensure prices affordable to the poor communities. The policy makers need to implement some investor friendly policies that will encourage and promote capital formation. Furthermore, the government should invest towards more job creating sectors such as (Small and Medium Enterprises) SMEs. Finally, the government should take into consideration the importance of trade openness to attract international investments into the economy. It is hoped that the findings of this study would prove beneficial to policy makers in South Africa and elsewhere in the world where power outages are experienced, and assist them in combating the problem.
- Full Text:
- Date Issued: 2016
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