Determinants of rail passenger transport usage : a case of Buffalo City Municipality
- Authors: Ntlatywa, Kholosa
- Date: 2017
- Subjects: Railroads -- South Africa -- Statistical services Transportation -- South Africa -- Eastern Cape Railroads -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8780 , vital:33580
- Description: The transport sector is an important contributor to South Africa’s economy. This sector have positive effects on South African citizens and the nation as a whole through mobility and accessibility. Rail transport is a suitable mode of transport for both long distance travel and short distances. This study investigated the determinants of rail passengers transport usage. The main objective of the study were to investigate the factors that influence the rail transport usage among passengers in Buffalo City Municipality. The second objective was to determine the incidence of rail transport usage among passengers in Buffalo City Municipality. Descriptive analysis in the form of Pearson-chi square and inferential analysis using Probit regression were used for data analysis in this study. The study used closed-ended questionnaires and the questionnaires were distributed to 100 people. The results of the study revealed that level of income, occupation, level of education, safety, and affordability are the common factors that influence the usage of trains for transport. The frequency of usage based on income was about 44 percent, with about 55 percent of people indicating they make use of trains because they find it a safe mode transport. The income level, safety, occupation and affordability were statistically insignificant. The level of education had a high frequency at 74 percent and it was statistically signifacant.004. The second part of the study assessed the incidence of train usage and results revealed that most of people (about 74 percent) travel by train daily.
- Full Text:
- Date Issued: 2017
- Authors: Ntlatywa, Kholosa
- Date: 2017
- Subjects: Railroads -- South Africa -- Statistical services Transportation -- South Africa -- Eastern Cape Railroads -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8780 , vital:33580
- Description: The transport sector is an important contributor to South Africa’s economy. This sector have positive effects on South African citizens and the nation as a whole through mobility and accessibility. Rail transport is a suitable mode of transport for both long distance travel and short distances. This study investigated the determinants of rail passengers transport usage. The main objective of the study were to investigate the factors that influence the rail transport usage among passengers in Buffalo City Municipality. The second objective was to determine the incidence of rail transport usage among passengers in Buffalo City Municipality. Descriptive analysis in the form of Pearson-chi square and inferential analysis using Probit regression were used for data analysis in this study. The study used closed-ended questionnaires and the questionnaires were distributed to 100 people. The results of the study revealed that level of income, occupation, level of education, safety, and affordability are the common factors that influence the usage of trains for transport. The frequency of usage based on income was about 44 percent, with about 55 percent of people indicating they make use of trains because they find it a safe mode transport. The income level, safety, occupation and affordability were statistically insignificant. The level of education had a high frequency at 74 percent and it was statistically signifacant.004. The second part of the study assessed the incidence of train usage and results revealed that most of people (about 74 percent) travel by train daily.
- Full Text:
- Date Issued: 2017
The impact of oil prices on the trade balance of South Africa
- Authors: Mili, Akhona
- Date: 2017
- Subjects: Petroleum products -- Prices Balance of trade -- South Africa Petroleum industry and trade -- Economic aspects
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8630 , vital:33228
- Description: The Autoregressive Distributed Lag model was used to estimate and analyse the relationship between crude oil prices and the trade balance of South Africa. This study estimated the trade balance model and analysed the relationship between crude oil prices and the trade balance of South Africa from the period 1990 to 2015. The bounds cointegration test confirmed the existence of a long-run relationship between the trade balance and real oil prices, real effective exchange rate, domestic income, real interest rate and the inflation rate. The results confirm that changes in oil prices have a negative impact on the trade balance whereas, currency devaluation, real interest, inflation rate and domestic income had a positive effect on the trade balance. The negative sign and significance of the Error Correction Term and diagnostic tests confirmed the reliability of the results.
- Full Text:
- Date Issued: 2017
- Authors: Mili, Akhona
- Date: 2017
- Subjects: Petroleum products -- Prices Balance of trade -- South Africa Petroleum industry and trade -- Economic aspects
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8630 , vital:33228
- Description: The Autoregressive Distributed Lag model was used to estimate and analyse the relationship between crude oil prices and the trade balance of South Africa. This study estimated the trade balance model and analysed the relationship between crude oil prices and the trade balance of South Africa from the period 1990 to 2015. The bounds cointegration test confirmed the existence of a long-run relationship between the trade balance and real oil prices, real effective exchange rate, domestic income, real interest rate and the inflation rate. The results confirm that changes in oil prices have a negative impact on the trade balance whereas, currency devaluation, real interest, inflation rate and domestic income had a positive effect on the trade balance. The negative sign and significance of the Error Correction Term and diagnostic tests confirmed the reliability of the results.
- Full Text:
- Date Issued: 2017
The role of transport infrastructure in attracting foreign direct investment in South Africa
- Authors: Mjacu, Lwando
- Date: 2017
- Subjects: Transportation Investments, Foreign -- South Africa Infrastructure (Economics) -- Government policy
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8609 , vital:33181
- Description: This study examined the role of transport infrastructure in attracting foreign direct investment in South Africa. The study used quarterly time series data for the period of 1994 to 2014. The Johansen cointegration and Vector Error Correction Model (VECM) were used to determine the impact of transport infrastructure on foreign direct investment in South Africa. The explanatory variables in this study were market size, transport infrastructure, labour cost, exchange rate and corporate tax. Results from this study showed that market size, transport infrastructure and corporate tax have a positive and significant impact on foreign direct investment, while exchange rate is positive but insignificant, and labour cost has a negative and insignificant impact on foreign direct investment in South Africa. The policy recommendation that comes from this study is that efforts should be made to improve the standard of transport infrastructure in order to enhance and attract more of foreign direct investment. The government should follow policies that will attract foreign direct investment.
- Full Text:
- Date Issued: 2017
- Authors: Mjacu, Lwando
- Date: 2017
- Subjects: Transportation Investments, Foreign -- South Africa Infrastructure (Economics) -- Government policy
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/8609 , vital:33181
- Description: This study examined the role of transport infrastructure in attracting foreign direct investment in South Africa. The study used quarterly time series data for the period of 1994 to 2014. The Johansen cointegration and Vector Error Correction Model (VECM) were used to determine the impact of transport infrastructure on foreign direct investment in South Africa. The explanatory variables in this study were market size, transport infrastructure, labour cost, exchange rate and corporate tax. Results from this study showed that market size, transport infrastructure and corporate tax have a positive and significant impact on foreign direct investment, while exchange rate is positive but insignificant, and labour cost has a negative and insignificant impact on foreign direct investment in South Africa. The policy recommendation that comes from this study is that efforts should be made to improve the standard of transport infrastructure in order to enhance and attract more of foreign direct investment. The government should follow policies that will attract foreign direct investment.
- Full Text:
- Date Issued: 2017
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