异质网络产品的价格变动机理研究综述
The Review on the Price Variation Mechanism ofHeterogeneity-Network Products
DOI: 10.12677/sg.2011.11008, PDF, HTML, 下载: 3,611  浏览: 12,184 
作者: 郑文*:东北大学秦皇岛分校管理系,秦皇岛;郑时:大连民族学院经管分院,大连
关键词: 市场环境异质网络产品价格变动价格变动机理
Market Environment; Heterogeneity-Network Products; Price Variation; Price Variation Mechanism
摘要: 对于异质市场网络产品价格生成与变动机理的研究是对传统价格理论的完善,同时提供了新的解释价格变动可能影响因素的思路,对于消费者福利的改进、市场环境的完善和政策条件的设计有实践应用价值。
Abstract: The research on the price and price variation mechanism of heterogeneity-network products is the implement of traditional price theory. It also gives a new explanation on possible impact elements of price variation. It has the practical value on improvement of the consumers’ welfare, the perfection of the market environment and the planning of the political conditions.
文章引用:郑文, 郑时. 异质网络产品的价格变动机理研究综述[J]. 智能电网, 2011, 1(1): 38-41. http://dx.doi.org/10.12677/sg.2011.11008

参考文献

[1] R. Dieci, I. Foroni, L. Gardini, et al. Market mood, adaptive beliefs and asset price dynamics. Chaos, Solitons and Fractals, 2006, 29(3): 520-534.
[2] M. Casari. Markets in equilibrium with firms out of equilibrium: a simulation study. Journal of Economic Behavior & Or-ganization, 2008, 65(2): 261-276.
[3] M. Bianconi. Heterogeneity, adverse selection and valuation with endogenous labor supply. Interna-tional Review of Economics and Finance, 2008, 17(1): 113-126.
[4] H. Nishiyama. M. Yamaguchi. Foreign direct investment, international trade, and firm heterogeneity. Economic Modelling, 2010, 27(1): 184-195.
[5] J. Binswanger. Understanding the heterogeneity of savings and asset allocation: A behavioral-economics perspective. Journal of Economic Behavior & Organization, 2010, 76(2): 296-317.
[6] K. G. Nishimura. Expectation heterogeneity and price sensitivity. European Economic Review, 1998, 42: 619-629.
[7] C. Hommes. The heterogeneous expectations hypothesis: Some evidence from the lab. Journal of Economic Dynamics & Control, 2011, 42(3-5): 1-24.
[8] C. Kiekintveld, J. Miller, P. R. Jordan, et al. Wellman. Forecasting market prices in a supply chain game. Electronic Com-merce Research and Appplications, 2009, 8(2): 63-77.
[9] S. D. Flam, O. Godal. Market clearing and price formation. Journal of Economic Dynamics & Control, 2008, 32(3): 956-977.
[10] S. D. Bekiros. Het-erogeneous trading strategies with adaptive fuzzy Actor-Critic rein-forcement learning: a behavioral approach. Journal of Economic Dy-namics & Control, 2010, 34(6): 1153-1170.
[11] C. Chiarella, X. Z. He, and M. Zheng. An analysis of the effect of noise in heterogeneous agent financial market model. Journal of Economic Dynamics & Control, 2011, 35: 148-162.
[12] W. Blyth, D. Bunn, J. Kettunen, et al. Policy interac-tions, risk and price formation in carbon markets. Energy Policy, 2009, 37(12): 5192-5207.
[13] X. Z. He, K. Li, J. J. Wei, et al. Market stabil-ity switches in a continuous-time financial market with heterogeneous beliefs. Economic Modelling, 2009, 26(6): 1432-1442.
[14] 郑文, 金霞. 电信技术管制模式与中国对策分析[J]. 中国科技论坛, 2007, 23(2): 129-133.
[15] H.-S. Kim, N. Kwon. The advantage of network size in acquiring new subscribers: A conditional logic analysis of the Korean mobile telephone market. Information Economics and Policy, 2003, 15: 17-33.
[16] D. Marshall, R. McIvor, and R. Lamming. In-fluences and outcomes of outsourcing: Insights from the telecommuni-cations industry. Journal of Purchasing & Supply Management, 2007, 13(4): 245-260.
[17] 郑文.《网络产业的模拟分析——电信企业适应性与管制设计研究》[M]. 北京: 光明日报出版社, 2010.
[18] W. Zheng, X. M. Sun, and Y. J. Wu. The echo model of telecommunication market agents based on complex environment. 2009 International Symposium on Education and Computer Science, 2009: 221-225.
[19] 约翰•H•霍兰. 周晓牧等译. 隐秩序——适应性造就复杂性[M]. 上海: 上海科技教育出版社, 2000: 37, 76, 82.
[20] G. Davies, M. Hardt, and F. Kelly. Come the revolution—network dimensioning, service costing and pricing in a packet switched environment. Telecommunica-tions Policy, 2004, 28(5-6): 391- 412.
[21] W. Zheng, S. Zheng, and X. Jin. Robust Controller Design Based on Telecommunication Techno-logical Choice Regulation. 2008 IEEE Conference on Service Opera-tions, Logistics and Informatics, 2008: 483-487.
[22] J. Huber, M. Shubik, and S. Sunder. Three minimal market institutions with human and algorithmic agents: Theory and experimental evidence. Games and Economic Behavior, 2010, 70(2): 403-424.
[23] H. Amilon. Estimation of an adaptive stock market model with heterogeneous agents. Journal of Empirical Finance, 2008, 15(2): 342-362.
[24] G. Fernandez-Anaya, J. Alvarez-Ramirez, and C. Ibarra-Valdez. On feedback and stable price adjustment mechanisms. Physica A, 2007, 377(1): 211-226.
[25] P. Heemeijer, C. Hommers, J. Sonnemans, et al. Price stability and vola-tility in market with positive and negative expectations feedback: An experimental investigation. Journal of Economic Dynamics & Control, 2009, 33(5): 1052-1072.
[26] A. Baglioni. Monetary policy transmis-sion under different banking structures: the role of capital and hetero-geneity. International Review of Economics and Finance, 2007, 16(1): 78-100.
[27] F. Westerhoff, C. Wieland. A behavioral cobweb-like commodity market model with heterogeneous speculators. Economic Modelling, 2010, 27(5): 1136-1143.
[28] L. Tesfatsion. Agent-based computational economics: Modeling economics as complex adaptive systems. Information Sciences 2003, 149(4): 263-269.
[29] R. Innes. Enforcement costs, optimal sanctions, and the choice between ex-post liability and ex-ante regulation. International Review of Law and Eco-nomics, 2004, 24(1): 29-48.
[30] J.-H. Hahn. Network competition and interconnection with heterogeneous subscribers. International Journal of Industrial Organization, 2004, 22(5): 611-631.
[31] W. Zheng, X. M. Sun, and B. Zhang. Simulation studies on core-competition. 2009 In-ternational Conference on Engineering Management and Service Sci-ences (EMS 2009), 2009: 1-5.
[32] W. Zheng, X. Jin, and B. Zhang. Simulation study based on multi-agents of mobile market. Advanced Materials Research, Smart Materials and Intelligent Systems, 2010, 143-144: 433-438.
[33] W. Zheng, B. Zhang. Swarm Simulation on Mobile Market. 2010 International Congress on Computer Applications and Computational Science, 2010, 2: 41-45.