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Plug-in hybrid and battery electric vehicles in South Africa: market forecasts

This paper uses diffusion modeling to forecast the sales of Plug-in Hybrid and Battery Electric Vehicles (PH/BEVs) in South Africa. First the potential benefits of PH/BEVs in South Africa are scrutinized. The global PH/BEV market is analyzed along with the goals and enticement policies of the countr...

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Main Author: Grant, Andrew
Other Authors: Black, Anthony
Format: Thesis
Language:English
Published: School of Economics 2016
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access_status_str Open Access
author Grant, Andrew
author2 Black, Anthony
author_browse Black, Anthony
Grant, Andrew
author_facet Black, Anthony
Grant, Andrew
author_sort Grant, Andrew
collection Thesis
description This paper uses diffusion modeling to forecast the sales of Plug-in Hybrid and Battery Electric Vehicles (PH/BEVs) in South Africa. First the potential benefits of PH/BEVs in South Africa are scrutinized. The global PH/BEV market is analyzed along with the goals and enticement policies of the countries that are best positioned for a widespread uptake of PH/BEVs. The supply and demand challenges facing the market for PH/BEVs in South Africa are evaluated with a review of current and proposed public policies. The total sales of PH/BEVs in South Africa are then forecast for the medium and long term using an adapted multiple technology generation Bass model with variable parameters for vehicle purchase price and running cost. Two scenarios are examined involving varying oil prices, electricity prices, government support and PH/BEV technological development.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:39.476Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher School of Economics
publisherStr School of Economics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/18601 Plug-in hybrid and battery electric vehicles in South Africa: market forecasts Grant, Andrew Black, Anthony Applied Economics This paper uses diffusion modeling to forecast the sales of Plug-in Hybrid and Battery Electric Vehicles (PH/BEVs) in South Africa. First the potential benefits of PH/BEVs in South Africa are scrutinized. The global PH/BEV market is analyzed along with the goals and enticement policies of the countries that are best positioned for a widespread uptake of PH/BEVs. The supply and demand challenges facing the market for PH/BEVs in South Africa are evaluated with a review of current and proposed public policies. The total sales of PH/BEVs in South Africa are then forecast for the medium and long term using an adapted multiple technology generation Bass model with variable parameters for vehicle purchase price and running cost. Two scenarios are examined involving varying oil prices, electricity prices, government support and PH/BEV technological development. 2016-04-05T11:41:58Z 2016-04-05T11:41:58Z 2014 Master Thesis Masters MCom http://hdl.handle.net/11427/18601 eng application/pdf School of Economics Faculty of Commerce University of Cape Town
spellingShingle Applied Economics
Grant, Andrew
Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
thesis_degree_str Master's
title Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
title_full Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
title_fullStr Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
title_full_unstemmed Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
title_short Plug-in hybrid and battery electric vehicles in South Africa: market forecasts
title_sort plug in hybrid and battery electric vehicles in south africa market forecasts
topic Applied Economics
url http://hdl.handle.net/11427/18601
work_keys_str_mv AT grantandrew pluginhybridandbatteryelectricvehiclesinsouthafricamarketforecasts