Date of Award
8-21-2013
Degree Type
Thesis
Degree Name
Master of Philosophy (MPHIL)
Department
Computing and Decision Sciences
First Advisor
Dr. LENG Mingming
Second Advisor
Dr. LIANG Liping
Abstract
The internationalization of production requires each multinational firm to determine the local content rate for his product that is made and sold in a foreign country. In this thesis, we investigate the local content rate and pricing decisions for a multinational firm who competes with a local firm in a market without and with a local content requirement (LCR). We develop and solve a two-stage decision problem in which the multinational firm determines his optimal local content rate and the two firms then make their pricing decisions. Our analytical results show that the multinational firm sets a lower local content rate, when the competition between the product of the multinational firm and that of the local firm intensifies, consumers' valuation is more strongly affected by the quality of the product of the multinational firm, and the reduction in consumers' marginal utility is smaller. We also show that an LCR may induce the multinational firm to increase local content rate and transfer benefits from the multinational firm to the local firm. However, a very high LCR threshold will cause the multinational firm to adopt a low local content rate, resulting in a low demand and profit for both the multinational firm and the local firm.
Keywords
Local content rate, local content requirement, quality, competition, duopoly market
Copyright
The copyright of this thesis is owned by its author. Any reproduction, adaptation, distribution or dissemination of this thesis without express authorization is strictly prohibited.
Recommended Citation
Liu, N. (2013). Pricing and local-content decisions of a multinational firm in a duopoly market (Master's thesis, Lingnan University, Hong Kong). Retrieved from http://dx.doi.org/10.14793/cds_etd.8
Included in
Business Administration, Management, and Operations Commons, Management Information Systems Commons