Bahagian Pasaran Kereta Nasional Malaysia: Satu Analisis Model Rantai Markov

Ahmad Yusof () and Zaini Mahbar ()
Additional contact information
Ahmad Yusof: Fakulti Ekonomi dan Pengurusan Universiti Kebangsaan Malaysia
Zaini Mahbar: Fakulti Ekonomi dan Pengurusan Universiti Kebangsaan Malaysia

Jurnal Ekonomi Malaysia, 2012, vol. 46, issue 1, 65-71

Abstract: The globlisation of the world’s automotive industry and the introduction of ASEAN Free Trade Area (AFTA) give considerable challenges to the two national automobile enterprises PROTON and PERODUA to stay resilient and competitive. The ability to control and lead the car market industry in the long term perspective is the goal of both enterprises. In realising that intention, several strategies had been formulated one of which is to increase the market share of its respective car industry. Thus a Markov Chain model is used to estimate the transition probability matrix for the passenger car buying process in Malaysia which in turn used to estimate the long term market share of the national car. Based on the available data it is found that the market share of passenger car industry is as follows: PROTON 36.3%, PERODUA 43.5%, TOYOTA 10.7%, HONDA 7.6% and DATSUN 1.9%. This information together with the information on the mean passage time show that the most popular passenger car in Malaysia is PERODUA while the most popular Japanese car in Malaysia is TOYOTA.

Keywords: Markov chain; automotive industry; equilibrium distribution; forecasting; market share (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.ukm.my/jem/wp-content/uploads/2021/06/jeko_461-6.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ukm:jlekon:v:46:y:2012:i:1:p:65-71

Access Statistics for this article

More articles in Jurnal Ekonomi Malaysia from Faculty of Economics and Business, Universiti Kebangsaan Malaysia Contact information at EDIRC.
Bibliographic data for series maintained by Muhammad Asri Abd Ghani ().