期刊文献+

企业的质量、价格决策与政府干预 被引量:2

Enterprises' Quality, Price Decisions and Government Intervention
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摘要 本文在研究企业的决策过程中引入广义质量成本概念,并给出了一个合理的广义质量成本函数。在此基础上从消费者的质量、价格效用函数出发,考察了某些特定条件下垄断企业和垄断竞争企业的质量和价格决策。解释了在未成熟产品市场中质量的供给相对过高,而在某些技术与市场条件相当成熟的产品市场中又缺乏质量竞争且质量差异不明显,以及在产品生命周期中产品价格随质量上升而下降的原因。描述了在此过程中发生的市场缺陷,并讨论了对于这种市场缺陷采取政府干预的必要性与方式。 We concern enterprises' quality and price decisions with general quality cost. By given a reasonable general quality cost function, we discuss the quality and price decisions of monopoly and monopolistic competition, explain why product's quality is over supplied during unseasoned period while during seasoned period quality competition is lacked and quality differentiation is not obviousl and why product's price decreases while quality is increasing during product life circle. After describing the market default, we discuss the necessity and patterns of government intervention at last.
作者 傅烨 郑绍濂
出处 《系统工程理论方法应用》 1999年第4期43-49,共7页 Systems Engineering Theory·Methodology·Applications
关键词 广义质量成本 抢先博弈 政府干预 企业 价格决策 general quality cost anticipation game government intervention
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参考文献2

  • 1张维迎(译),产业组织理论,1997年
  • 2郭克莎,质量经济学,1992年

同被引文献25

  • 1夏鹏.全面质量管理与质量成本制度[J].会计研究,1995(7):41-44. 被引量:8
  • 2李正.企业社会责任与企业价值的相关性研究——来自沪市上市公司的经验证据[J].中国工业经济,2006(2):77-83. 被引量:595
  • 3程新章.全球价值链治理中的质量惯例[J].中国工业经济,2006(5):72-78. 被引量:8
  • 4崔丽,李跃生.产品感知质量与顾客认可价格关系模型研究[J].质量与可靠性,2006(5):28-30. 被引量:2
  • 5Morgan N A, Anderson E W , Mittal V. Understandingfirms ^ customer satisfaction information usage [ J]. Journalof Marketing,2005,(7) :13M51.
  • 6Akerlof G A. The market for “ Lemons” : quality uncer-tainty and the market mechanism [ J]. The QuarterlyJournal of Economics, 1970,84(3) :488-500.
  • 7Kim R B. Consumers, perceptions of food risk manage-ment quality : Chinese and Korean evaluations [ J].Agricultural Economics-Zemedelska Ekonmika, 2012,58(1) :ll-20.
  • 8Tzeng J. Perceived values and prospective users,accep-tance of prospective technology : The case of a careereportfolio system [ J]. Computers & Education, 2011 , 56(1) :157-165.
  • 9Frick J,Hegg C. Can end-users, flood management deci-sion making be improved by information about forecastuncertainty. [ J]. Atmospheric Research,2011,100 ( 2-3) :296-303.
  • 10Thomas K, Mark H , Duncan M. Bayesian supply chaintracking using serial-level information [ J]. IEEETransactions on Systems Man and Cybernetics Part C-Applications and Reviews,2011,41 (5 ) :733-742.

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