消费类产品产业链价格波及效应与应对管理的研究
|
摘要
2003年的“非典”、2008年上半年的“512汶川大地震”和2008年下半年从美国开始席卷全球的“金融危机”,都不同程度地冲击了消费品长期的价格均衡体系,并且对于相关产业链产生强烈的波及效应。消费类产品产业链(以下简称消费类产业链)价格波及效应实际上包含两个内容：一是价格波动传递过程,即链上节点之间价格变量在该链上波动的传递过程,由于固定调整成本的存在,使得最初价格震荡的调整在大小和症候上可能是有区别的,而且是非线性的；二是效应,即由价格传递过程给该链以及相关的产业链造成的影响。
本论文针对上述问题,以日常生活影响最大的两类消费类产品——消费类电子产品和消费类农产品为主要的研究对象,在深入分析价格不对称传递现象和成因的基础上,对消费类产业链的价格波及效应及其应对管理等问题作了创新性和探索性研究。主要内容为：
1.详细研究了消费类农产品产业链内价格波及效应的定量模型。以上海猪产业链为例,构建了垂直方向的单变量三节点价格传递模型,从正方向和逆方向传递两种角度,以基于相容门限的模型分析长期的均衡状况,以纠错模型探讨短期的特征,从经济和管理方面探讨了门限的经济含义和价格在产业链内产生波及效应的原因。
2.详细研究了消费类电子产品产业链内价格波及效应的定量模型。研究包括垂直方向和水平方向两个方面：垂直方面的研究主要是探讨基本模型在消费类电子产品产业链的适用性,进一步拓展研究的领域；水平方面的研究主要是分析不同消费类电子产品供应链之间价格波及效应,分别以液晶电视机供应链为例探讨成品层面的价格传递特点,以及以液晶面板为例,获得了上游重要零部件层面存在价格不对称传递的证据。
3.研究了常见的价格波及效应的成因。市场力、调整与面板成本、行政干预、不对称信息和库存管理等是价格波及效应的重要因素。水平的价格波及效应的成因还包括生产与经营中的套利、物流成本和市场壁垒等因素。主要成因指向市场环境以及非常规条件的影响。
4.详细研究了正负两方面的冲击引起的消费类产业链价格波及效应。使用向量纠错模型(VECM)和历史分解图(HDG)分析价格调整的动态效果和沿产业链的因果关系。一方面,通过“5.12汶川大地震”对于四川灾区猪产业链影响的实证分析,探讨了负冲击产生的消费品产业链内的价格波及效应；另一方面,以“家电下乡”政策性对于消费类电子产品产业链产生冲击为例实证分析,探讨了正冲击产生的消费品产业链内的价格波及效应。
5.详细研究了信息条件下,消费类产业链内价格波及效应应对管理的目标、策略和方法。首先,企业可以有效地使用现代信息技术,根据消费品的特点,在一定条件下,使本企业处于产业链的有利位置。其次,为改变以买方为中心的市场对于生产商的不公平环境,在软件和硬件的实现方面,研究了以卖方为中心的B2B电子商务平台的供应链协调,构建了以服务为导向的电子商务平台框架。第三,危机条件下,消费品产业链价格扭曲产生的波及效应,很大程度上是由于库存在短期内难以得到补充,因此采用风险分析提出应急管理的方法。自由的市场经济使得价格的波及效应不可能自我约束,政府有效的行政干预是解决问题的重要保障。
All the important events—from the SARS in 2003 to the Wenchuan Earthquake in the first half of 2008 to the financial crisis beginning from the United States in the second half of 2008—influenced on the long-term price equalization system of consumer goods to some extent and made a strong ripple effect on the related industrial chains.The price ripple effect of consumer goods chain actually consists of two elements. One is the transmission process of price ripple effect. Prices vary between nodes in the chain. Due to the fixed cost adjustment, price shocks in size and symptoms at the beginning may be different and is non-linear. The other is the effect of price transmission process on the chain as well as other related industrial chains.
The dissertation first took consumer electronics and consumer agricultural products as the main subjects of study, analyzed the phenomenon of asymmetric price transmission and its causes in depth, and then made an innovative and exploratory research on the price ripple effect in the consumer goods industry chain and its response management. The main contents are:
1. A detailed study on the quantitative models of the price ripple effects in the consumer agricultural industry chain. The dissertation took pig industry chain in Shanghai for example to build a vertical single-variable three-node, analyzed long-term equilibrium situation based on the consistent threshold model and explored the short-term characteristics based on the error correction model from the positive and negative transfer directions, the dissertation discussed the economic implications of the threshold from the view of economy and management and the causes why prices give birth to ripple effect in the industry chain.
2. A detailed study on the quantitative models of the price ripple effects in the consumer electronics industry chain. It was both vertical and horizontal. The vertical study is to explore the applicability of the basic model in the consumer electronics industry chain and further expand the field of study. Horizontal research mainly focused on the price ripple effect among the supply chains of different consumer electronic products. It discussed the characteristics of price transfer of finished products with illustration of LCD TV supply chain and acquired evidence of price asymmetric transfer in important components.
3. Study on the common causes of price ripple effect. Market power, adjustment and panel costs, administrative intervention, asymmetric information and inventory management are important factors in the price ripple effect. The causes of horizontal ripple effects also include the arbitrage of management, logistics costs and market barriers and so on. The primary causes point to environment of market and influence of the unconventionallity condition.
4. A detailed study of the positive and negative impact on the price ripple effect in the consumer goods industry train. The vector error correction model (VECM) and the historical decomposition map (HDG) are used to analyze the dynamic effects of price adjustment as well as the cause-effect relationship along the industrial chain. Firstly, the price ripple effect in the consumer goods industry chain caused by negative impact was discussed through the analysis of the negative impact of the Wenchuan Earthquake on pork industry chain in the disaster area of Sichuan. And then the price ripple effect in the consumer electronic goods industry chain was discussed through the analysis of the positive impact of the "home appliances to the countryside" policy on the consumer electronic goods industry chain.
5. A detailed study on the objectives, strategies and methods of response management about price ripple effect in the consumer goods industrial chain under information condition. Firstly, they can effectively use modern information technology under certain conditions according to the characteristics of consumer goods so that they can make their own in a favorable position in the chain. Secondly, in order to change the unfair environment of buyer-centric market to producers, studied the supply chain coordination of the seller-centric B2B e-commerce platform and designed framework of a service-oriented. Thirdly, the ripple effect in the consumer goods industry chain caused by price distortions mainly lied in insufficient inventory in the short term. Therefore, emergency management approach was presented by risk analysis. The unrestricted market economy can't restrict itselves; the important guarantee is effective administrative interference of the government.
本论文针对上述问题,以日常生活影响最大的两类消费类产品——消费类电子产品和消费类农产品为主要的研究对象,在深入分析价格不对称传递现象和成因的基础上,对消费类产业链的价格波及效应及其应对管理等问题作了创新性和探索性研究。主要内容为：
1.详细研究了消费类农产品产业链内价格波及效应的定量模型。以上海猪产业链为例,构建了垂直方向的单变量三节点价格传递模型,从正方向和逆方向传递两种角度,以基于相容门限的模型分析长期的均衡状况,以纠错模型探讨短期的特征,从经济和管理方面探讨了门限的经济含义和价格在产业链内产生波及效应的原因。
2.详细研究了消费类电子产品产业链内价格波及效应的定量模型。研究包括垂直方向和水平方向两个方面：垂直方面的研究主要是探讨基本模型在消费类电子产品产业链的适用性,进一步拓展研究的领域；水平方面的研究主要是分析不同消费类电子产品供应链之间价格波及效应,分别以液晶电视机供应链为例探讨成品层面的价格传递特点,以及以液晶面板为例,获得了上游重要零部件层面存在价格不对称传递的证据。
3.研究了常见的价格波及效应的成因。市场力、调整与面板成本、行政干预、不对称信息和库存管理等是价格波及效应的重要因素。水平的价格波及效应的成因还包括生产与经营中的套利、物流成本和市场壁垒等因素。主要成因指向市场环境以及非常规条件的影响。
4.详细研究了正负两方面的冲击引起的消费类产业链价格波及效应。使用向量纠错模型(VECM)和历史分解图(HDG)分析价格调整的动态效果和沿产业链的因果关系。一方面,通过“5.12汶川大地震”对于四川灾区猪产业链影响的实证分析,探讨了负冲击产生的消费品产业链内的价格波及效应；另一方面,以“家电下乡”政策性对于消费类电子产品产业链产生冲击为例实证分析,探讨了正冲击产生的消费品产业链内的价格波及效应。
5.详细研究了信息条件下,消费类产业链内价格波及效应应对管理的目标、策略和方法。首先,企业可以有效地使用现代信息技术,根据消费品的特点,在一定条件下,使本企业处于产业链的有利位置。其次,为改变以买方为中心的市场对于生产商的不公平环境,在软件和硬件的实现方面,研究了以卖方为中心的B2B电子商务平台的供应链协调,构建了以服务为导向的电子商务平台框架。第三,危机条件下,消费品产业链价格扭曲产生的波及效应,很大程度上是由于库存在短期内难以得到补充,因此采用风险分析提出应急管理的方法。自由的市场经济使得价格的波及效应不可能自我约束,政府有效的行政干预是解决问题的重要保障。
All the important events—from the SARS in 2003 to the Wenchuan Earthquake in the first half of 2008 to the financial crisis beginning from the United States in the second half of 2008—influenced on the long-term price equalization system of consumer goods to some extent and made a strong ripple effect on the related industrial chains.The price ripple effect of consumer goods chain actually consists of two elements. One is the transmission process of price ripple effect. Prices vary between nodes in the chain. Due to the fixed cost adjustment, price shocks in size and symptoms at the beginning may be different and is non-linear. The other is the effect of price transmission process on the chain as well as other related industrial chains.
The dissertation first took consumer electronics and consumer agricultural products as the main subjects of study, analyzed the phenomenon of asymmetric price transmission and its causes in depth, and then made an innovative and exploratory research on the price ripple effect in the consumer goods industry chain and its response management. The main contents are:
1. A detailed study on the quantitative models of the price ripple effects in the consumer agricultural industry chain. The dissertation took pig industry chain in Shanghai for example to build a vertical single-variable three-node, analyzed long-term equilibrium situation based on the consistent threshold model and explored the short-term characteristics based on the error correction model from the positive and negative transfer directions, the dissertation discussed the economic implications of the threshold from the view of economy and management and the causes why prices give birth to ripple effect in the industry chain.
2. A detailed study on the quantitative models of the price ripple effects in the consumer electronics industry chain. It was both vertical and horizontal. The vertical study is to explore the applicability of the basic model in the consumer electronics industry chain and further expand the field of study. Horizontal research mainly focused on the price ripple effect among the supply chains of different consumer electronic products. It discussed the characteristics of price transfer of finished products with illustration of LCD TV supply chain and acquired evidence of price asymmetric transfer in important components.
3. Study on the common causes of price ripple effect. Market power, adjustment and panel costs, administrative intervention, asymmetric information and inventory management are important factors in the price ripple effect. The causes of horizontal ripple effects also include the arbitrage of management, logistics costs and market barriers and so on. The primary causes point to environment of market and influence of the unconventionallity condition.
4. A detailed study of the positive and negative impact on the price ripple effect in the consumer goods industry train. The vector error correction model (VECM) and the historical decomposition map (HDG) are used to analyze the dynamic effects of price adjustment as well as the cause-effect relationship along the industrial chain. Firstly, the price ripple effect in the consumer goods industry chain caused by negative impact was discussed through the analysis of the negative impact of the Wenchuan Earthquake on pork industry chain in the disaster area of Sichuan. And then the price ripple effect in the consumer electronic goods industry chain was discussed through the analysis of the positive impact of the "home appliances to the countryside" policy on the consumer electronic goods industry chain.
5. A detailed study on the objectives, strategies and methods of response management about price ripple effect in the consumer goods industrial chain under information condition. Firstly, they can effectively use modern information technology under certain conditions according to the characteristics of consumer goods so that they can make their own in a favorable position in the chain. Secondly, in order to change the unfair environment of buyer-centric market to producers, studied the supply chain coordination of the seller-centric B2B e-commerce platform and designed framework of a service-oriented. Thirdly, the ripple effect in the consumer goods industry chain caused by price distortions mainly lied in insufficient inventory in the short term. Therefore, emergency management approach was presented by risk analysis. The unrestricted market economy can't restrict itselves; the important guarantee is effective administrative interference of the government.
引文
[1]Ahmad N. H., Prutton, M., Whiting, J. S. S. Ripple effects in the ferromagnetic resonance spectra of single crystal nickel films [J]. Physics Letters A,1972,40(3):252-254
[2]Whiting J. S. S. Ferromagnetic resonance ripple effects in single crystal nickel films [J]. Physics Letters A,1974,50(4):251-252
[3]Peirce W. S. The ripple effects of technological innovation:The case of iron ore palletizing [J]. Omega,1974,2(1):43-51
[4]Yoshida R. K., et al. Ripple effect:Communication of planning team decisions to program implementers [J]. Journal of School Psychology,1978,16(2):177-183
[5]Shield D., D. Storm. The economic ripple effects of operations [J]. Fuel and Energy Abstracts, 1996,37(2):156-156
[6]魏来,陈宏,张洁.产业链价格波及效应的不对称传递[J].系统工程理论与实践,2009,29(7)：1-7
[7]Forrester J W. Industrial Dynamics[M]. MIT Press,1962:31-45
[8]李刚,汪寿阳,于刚,阎洪.牛鞭效应与生产平滑模型有效性问题[J].管理科学学报,2004,7(1)：1-18
[9]Lee H. L., V. Padmanabhan, S. Whang.Information distortion in a supply chain:The Bullwhip Effect [J]. Management Science,1997a,43(4):546-558
[10]Lee H. L., V. Padmanabhan, S. Whang. The bullwhip effect in supply chains [J]. Sloan Management Review,1997b,38(3):93-102
[11]马新安,张列平.供应链中的时滞[J].系统工程理论与实践,2002,22(5)：43-48
[12]Goran Svensson. The multiple facets of the bullwhip effect:refined and re-defined [J]. International Journal of Physical Distribution & Logistics Management,2005:325-331
[13]万杰,李敏强.供应链中分配机制对牛鞭效应的影响研究[J].系统工程学报,2002,8：340-348
[14]路应金,唐小我,张勇.供应链中牛鞭效应的分形特征研究[J].系统工程学报,2006,5：463-469
[15]王伟钧,唐小我,倪得兵.需求信息滞后下的零售商决策与牛鞭效应分析[J].中国管理科学,2008,4：84-89
[16]Towill D. The dynamic analysis approach to manufacturing systems design [J]. Journal of Advanced Management Engineering,1989,1:131-140
[17]Towill D.Time compression and the supply chain:A guided tour [J].Supply Chain Management, 1996, 1(1):15-27
[18]Towill D. FORRIDGE:Principles of good practice in material flow [J]. Production Planning and Control,1997,8(7):622-632
[19]Disney S. M., M. M. M. Naim, D. R. Towill. Genetic algorithm optimization of a class of inventory contuol systems [J].International Journal of Production Economics,2000,68:259-278
[20]Disney S. M., D. R. Towill.Inventory drift and instability in order-up-to replenishment policies[C]. Proceedings of the 12th International Symposium on Inventories,2002a:212-223
[21]Disney S. M., D. R. Towill. A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain [J].International Journal of Production Research,2002b,40(1):179-204
[22]Dejonckheere J., S. M. Disney, M. R. Lambrecht, D. R. Towill.Measuring and avoiding the bullwhip effect:A control theoretic approach [J]. European Journal of Operational Research, 2002a,147:567-590
[23]Dejonckheere J., S. M. Disney, M. R. Lambrecht, D. R. Towill. Transfer function analysis of forecasting induced bullwhip in supply chains [J]. International Journal of Production Economics,2002b,78:133-134
[24]S.M.Disney, D. R. Towill. Variance amplification and the golden ratio in production and inventory control [J], International Journal of Production Economics,2004,90(3):295-309
[25]Chen F., Drezner Z., Ryan J. K., Simchi-Levi D. Quantifying the bullwhip effect in a simple supply chain [J].Management Science,2000a,46(3):436-443
[26]Chen F., Drezner Z., Ryan J. K., Simchi-Levi D. The impact of exponential smoothing forecasts on the bullwhip effect [J]. Naval Research Logistics,2000b,47:269-286
[27]Saeed K. Trend forecasting for stability in supply chains [J]. Journal of Business Research,2008, 61(11):1113-1124
[28]Balan S., P. Vrat, P. Kumar. Information distortion in a supply chain and its mitigation using soft computing approach [J]. Omega,2009,37(2):282-299
[29]Haughton M.A. Distortional Bullwhip Effects on carriers [J]. Transportation Research Part E: Logistics and Transportation Review,2009,45(1):172-185
[30]尤建新,隋明刚,霍佳震.闭环供应链牛鞭效应分析[J].系统工程理论与实践,2007, 27(12)：111-116
[31]王冬冬,达庆利.基于模糊Petri网的供应链牛鞭效应的成因与控制建模分析[J].系统管理学报,2007,1：6-11
[32]黄小原,卢震.分销中心供应链模型及牛鞭效应的H∞控制应用分析[J].中国管理科学,2003,11(1)：42-47
[33]黄小原,卢震.供应链牛鞭效应的H∞控制应用研究[J].控制与决策,2003,18(2)：155-158
[34]卢震,黄小原.供应链牛鞭效应的随机控制[J].信息与控制,2003,32(1)：36-39
[35]葛汝刚,黄小原.参数不确定的供应链传递函数H∞保成本计算与分析[J].控制与决策,2009,6：874-878
[36]刘春玲,黎继子,孟波.基于两单链合作下的集群式供应链牛鞭效应的H∞控制研究[J].中国管理科学,2007,1：41-46
[37]张钦,达庆利,沈厚才.在ARIMA(0,1,1)需求下的牛鞭效应与信息共享的评价[J].中国管理科学,2001,9(6)：1-6
[38]达庆利,张钦,沈厚才.供应链中牛鞭效应问题研究[J].管理科学学报,2003,6(3)：86-93
[39]张钦,达庆利.供应商管理库存和牛鞭效应[J].东南大学学报,2004,20(1)：108-112
[40]廖成林,宋波,李忆.非平稳需求状态下虚拟企业牛鞭效应的存在性分析[J].中国管理科学,2006,1：43-49
[41]林琳.最优需求预测下预测与处理过程中的牛鞭效应[J].系统工程学报,2006,3：266-272,312
[42]刘红,王平.基于不同预测技术的供应链牛鞭效应分析[J].系统工程理论与实践,2007,27(07)：26-33
[43]汪传旭,崔建新ARMA(1,1)需求条件下需求信息延迟对两级供应链牛鞭效应和平均成本的影响[J].系统管理学报,2007,3：332-336
[44]刘开军,张子刚,周永红.线性库存管理策略下供应链中需求传播过程[J].管理科学学报,2008,4：94-103
[45]汪传旭.基于ARMA(1,1)需求的供应链历史订单量信息价值的分析[J].管理工程学报,2006,4：25-30
[46]郝国英,孔造杰,韩海彬.供应链中信息共享对各环节库存的影响研究[J].系统工程理论与实践,2007,27(09)：131-135
[47]刘开军,张子刚.需求信息可部分观察时供应链中的信息汇聚效应[J].中国管理科学,2008,2：83-90
[48]刘开军,张子刚.需求未知情况下供应链中的信息汇聚效应[J].管理科学学报,2009,4： 103-114,144
[49]罗昌,贾素玲,王惠文.基于系统动力学的供应链稳定性研究[J].系统仿真学报,2008,14：3815-3819,3824
[50]Y. Deng, McKendall Jr., Alan R., Jaraiedi, Majid. Dynamic pricing under uncertainty using fuzzy logic [J]. International Journal of Industrial Engineering:Theory Applications and Practices.2004,11(11):99-107
[51]W.-C. L. Cheng-Liang Chen. Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices [J]. Computers and Chemical Engineering, 2004:1131-1144
[52]L. Z. Zhang TieZhu, Teng ChunXian, Hu YunQuan. Study on the supply chain's pricing decision based on bilevel programming [J]. Control and Decision,2005,20:992-995
[53]J. Y. Zhou Wei. Coordination method for multi-plants supply chain production planning based on Lagrange relaxation algorithm [J]. Computer Integrated Manufacturing Systems,2005, 11:1255-1259
[54]K. J. Inventory and the volatility of production [J]. American Economic Review,1987,77: 667-779
[55]D. Y. Xu K. Vendor Managed Inventory:Towards a Better Coordination of Information in a Supply Chain[C], Proceedings of ICM98,1998:526-532
[56]D. Z. Chen F., Ryan J. K., David Simchi-Levi. Quantifying the bullwhip effect in a simple supply chain:The impact of forecasting, lead times, and information[J]. Management Science, 2000:436-443
[57]L. H. S. K. C. T. C. S. The value of information sharing in a two-level supply chain [J].Management Science,2000:626-643
[58]S. K. C. Lee H., Tang Christopher S. The value of information sharing in a two-level supply chain [J].Management Science,2000:626-643
[59]G. S.C. A single-item inventory model for a non-stationary demand process [J]. Manufacturing & Service Operation Management,1999:50-61
[60]揭晖,黄培清.供应链管理中的价格波动[J].上海交通大学学报,2001,35：919-921
[61]V. G. Narayanan, A. Raman, J. Singh. Agency costs in a supply chain with demand uncertainty and price competition [J]. Management Science,2005,51:120-132
[62]J. Olhager, Selldin E. Supply chain management survey of Swedish manufacturing firms [J]. International Journal of Production Economics,2004:353-361
[63]D. B. Thomas, A. J. Convertine, L. J. Myrick, C. W. Scales, A. E. Smith, A. B. Lowe, Y. A. Vasilieva, N. Ayres, and C. L. McCormick. Kinetics and molecular weight control of the polymerization of acrylamide via RAFT [J]. Macromolecules,2004,37:8941-8950
[64]J. J. Gu QiaoLun, Gao TieGang,Shi LianShuan. Research on price decision for reverse supply chain based on fixed lowest quantitative demand [J].Computer Integrated Manufacturing Systems,2005,11:1751-1757
[65]E. Sucky. A bargaining model with asymmetric information for a single supplier-single buyer problem [J]. European Journal of Operational Research,2006,171:516-535
[66]V. D. Mishra Debasis. An ascending price procurement auction for multiple items with unit supply [J]. IIE Transactions,2006,38:127-140
[67]P. B. Luh, Ni,Ming, Chen Haoxun, Thakur, L.S. Price-based approach for activity coordination in a supply network [J]. IEEE Transactions on Robotics and Automation,2003,19:335-346
[68]L. H. Lau Amy Hing Ling, Zhou YongWu. Considering asymmetrical manufacturing cost information in a two-echelon system that uses price-only contracts [J]. IIE Transactions,2006, 38:253-271
[69]Z. Hui-Li.Research on telecommunication resale service supply chain coordination with wholesale contract [J]. Journal of Nanjing Institute of Posts and Telecommunications,2005, 25:48-52
[70]V. A. P.L. Abada.Incorporating transport cost in the lot size and pricing decisions with downward sloping demand [J]. International Journal of Production Economics,2005:297-305
[71]P. W. Keller, F.-O. Duguay, D. Precup. RedAgent-2003:An autonomous, market-based supply-chain management agent [N]. New York, NY, United States,2004:726-735
[72]H. E. Kahn, Fred F.The role of pricing in supply chain profits[C]. Proceedings-Annual Meeting of the Decision Sciences Institute,2002:605-610
[73]H. P.-Q. Yang Qing-Ding. Multilateral international ordering decision-making of manufacturer under price uncertainty [J]. Control and Decision,2006,21:60-63
[74]L. S. Hua Zhongsheng, Liang Liang. Impact of demand uncertainty on supply chain cooperation of single-period products [J]. International Journal of Production Economics,2006,100:268-284
[75]L. Y. Ge Jian, Xia GuoPing, Research on global supply chain production planning under uncertain environment[J]. Computer Integrated Manufacturing Systems,2005,11:1120-1126
[76]L. Lei, Q. Wang, C. Fan. Optimal business policies for a supplier-transporter- buyer channel with a price-sensitive demand [J].Journal of the Operational Research Society,2006,57:281-289
[77]Y.-F. Li, G.-P. Xia. Lot sizing order model of global supply chain[J]. Computer Integrated Manufacturing Systems, CIMS,2005,11:79-84
[78]H. X. Guo Haifeng. Optimization purchase price and the profit policy under vendor managed inventory [J]. Journal of Systems Engineering and Electronics,2005,16:321-324
[79]K. Moinzadeh, J. Son, T. D. Klastorin. Coordinating orders in supply chains through price discounts [J]. IIE Transactions (Institute of Industrial Engineers),2002,34:679-689
[80]A. J. Yue Jinfeng, Wang Min-Chiang,Huang Zhimin. Coordination of cooperative advertising in a two-level supply chain when manufacturer offers discount [J]. European Journal of Operational Research,2006,168:65-85
[81]G. C. Xu MingHui. Supply chain coordination with demand disruptions under convex production cost function [J]. Wuhan University Journal of Natural Sciences,2005,10:493-498
[82]Coase R. H. The Nature of the Firm, Economica, New Series,1937,4(16):386-405.
[83]Malone T. W., Joanne Y., Benjamin, R. I. Electronic Markets and Electronic Hierarchies [J], Communications of the ACM,1987,30(6):484-497.
[84]Holland C. P., Lockett, A. G. Mixed Mode Network Structures:The Strategic Use of Electronic Communication by Organizations [J], Organization Science,1997,8(5):475-488.
[85]Morita H., Nakahara, H. Impacts of the Information-Technology Revolution on Japanese Manufacturer-Supplier Relationships [J], Journal of the Japanese and International Economies, 2004,18:390-415
[86]Phillips C., Meeker M. The B2B Internet Report—Collaborative Commerce[R]. Morgan Stanley Dean Witter, New York,2000:256-267
[87]Wise R., Morrison D, Beyond the exchange:The future of B2B [J], Harvard Business Review, 2000,78(November-December):86-96.
[88]Pasternack B. Optimal pricing and returns policies for perishable commodities [J]. Marketing Science,1985,4(2):166-176.
[89]Song H. M., Ma S. H. An extended supply chain revenue sharing contract with consideration of influence of order time [J]. System Engineering,2005,23(9):59-63.
[90]Jeuland A., S. Shugan. Managing Channel Profits [J]. Marketing Science,1983,2(3):239-272.
[91]Padmanabhan V., I. P. L. Png. Returns policies:make money by making good [J]. Sloan Management Review (Fall),1995:65-72
[92]Emmons H., S. Gilbert. Returns policies in pricing and inventory decisions for catalogue goods [J]. Management Science,1998,44(20):276-83
[93]Taylor T. Coordination under channel rebates with sales effort effect [J]. Management Science, 2002,48(8):992-1007
[94]Li M. K., Wang K. R., Fang F. The time-based newsboy problem:application, formulation and solution [J].Systems Engineering Theory Methodology Applications,2003,12(2):146-152
[95]XIAO Yongbo, C.J., XU Xiaolin. Perishable product supply chain coordination under CIF business model with long distance transportation [J]. Systems Engineering Theory and Practice,2008,28(12):19-25,34
[96]Charles X. Wang, M. Benaroch. Supply chain coordination in buyer centric B2B electronic markets [J]. Int. J. Production Economics,2004,92:113-124
[97]A. Chande, S. Dhekane, N. Hemachandra, N. Rangaraj. Perishable inventory management and dynamic pricing using RFID technology [J]. Sadhana-Academy Proceedings in Engineering Science,2005,30:445-462
[98]V. Jayaraman, T. Baker. The internet as an enabler for dynamic pricing of goods [J]. IEEE Transactions on Engineering Management,2003,50:470-477
[99]V. Hosanagar Kartik, Krishnan Ramayya, Chuang John, Choudnary. Pricing and resource allocation in caching services with multiple levels of quality of service [J]. Management Science,2005,51:1844-1859
[100]S. Saha, Sen, Sandip. Aggressive pricing to exploit market niches in supply chains [J]. IEEE Intelligent Systems.2005,20:36-41
[101]A. Burnetas and P. Ritchken. Option pricing with downward-sloping demand curves:The case of supply chain options [J]. Management Science.2005,51:566-580
[102]V. C. B. Stephen M. Gilbert A. Strategic commitment to price to stimulate downstream innovation in a supply chain [J]. European Journal of Operational Research,2003:617-639
[103]O. T. Grey William, Shi Dailun. The role of e-marketplaces in relationship-based supply chains: A survey [J]. IBM Systems Journal.2005,44:109-123
[104]H. B. Gan MingXin. Modeling of procurement and pricing strategy in supply chain under shortage of accessory [J]. Transaction of Beijing Institute of Technology,2005,25:697-700
[105]唐小我.无外部市场条件下中间产品转移价格的研究[J].管理科学学报,2002,5(1)：12-18
[106]慕银平,唐小我,马永开.存在外部垄断市场的中间产品转移定价研究[J].系统工程理论与实践,2003,23(07)：36-42
[107]杜义飞,李仕明.供应链中间产品动态价格振荡系统及其收敛性分析[J].控制与决策,2005,20(06)：646-649
[108]慕银平,唐小我,刘英.多产品企业集团的中间产品转移定价策略分析[J].系统工程理论与实践,2005,25(07)：50-57
[109]慕银平,唐小我,马永开.存在产量和价格竞争外部市场的企业集团转移定价研究[J].管理工程学报,2005,19(02)：104-109
[110]汪文利,王海燕.两级供应链中间产品动态价格的稳定性分析(英文)[J] Journal of Southeast University(English Edition),2007(S1):57-63
[111]陈业华,邱菀华.供应链系统动态价格波动的熵模型[J].系统工程理论与实践,2008,28(10)：46-52
[112]慕银平,唐小我,刘英.信息不对称条件下寡头集团转移定价决策分析[J].控制与决策,2008,01：30-34,40
[113]慕银平,唐小我,刘英.寡头竞争中间产品市场的转移定价策略研究[J].系统工程学报,2009,24(04)：438-444
[114]Chen J., X. Chen X. Song. Comparison of the group-buying auction and the fixed pricing mechanism [J]. Decision Support Systems,2007,43(2):445-459
[115]Chen J.-M., T.-H. Chen. The profit-maximization model for a multi-item distribution channel [J].Transportation Research Part E:Logistics and Transportation Review,2007,43(4):338-354
[116]Newman, W.R., T.C. Krehbiel. Linear performance pricing:A collaborative tool for focused supply cost reduction [J]. Journal of Purchasing and Supply Management,2007,13(2):152-165
[117]Webster S., S. Mitra. Competitive strategy in remanufacturing and the impact of take-back laws [J]. Journal of Operations Management,2007,25(6):1123-1140
[118]Parmesano H. Rate Design Is the No.1 Energy Efficiency Tool [J].The Electricity Journal, 2007,20(6):18-25
[119]Perez E. A model of vertical integration and investment in generation capacity in electricity markets:The case of the bidding game [J]. Socio-Economic Planning Sciences,2007,41(4): 272-290
[120]Barmack M., et al. Econometric models of power prices:An approach to market monitoring in the Western US [J]. Utilities Policy,2008,16(4):307-320
[121]Haghighat H., H. Seifi, A. Rahimi Kian. The role of market pricing mechanism under imperfect competition [J].Decision Support Systems,2008,45(2):267-277
[122]Tishler A., et al. Assessing the options for a competitive electricity market in Israel [J]. Utilities Policy,2008,16(1):21-29
[123]Choi T.-M., et al. Channel coordination in supply chains with agents having mean-variance objectives [J]. Omega,2008,36(4):565-576
[124]Ding D., J. Chen. Coordinating a three level supply chain with flexible return policies [J]. Omega,2008,36(5):865-876
[125]Chen Y.J., J.-B. Sheu. Environmental-regulation pricing strategies for green supply chain management [J]. Transportation Research Part E:Logistics and Transportation Review,2009, 45(5):667-677
[126]Ketter W., et al. Detecting and forecasting economic regimes in multi-agent automated exchanges [J]. Decision Support Systems,2009,47(4):307-318
[127]Lin C.-T., Y.M. Chen. Hedging strategic flexibility in the distribution optimization problem [J]. Omega,2009,37(4):826-837
[128]Narasimhan R., et al. Lock-in situations in supply chains:A social exchange theoretic study of sourcing arrangements in buyer-supplier relationships [J]. Journal of Operations Management, 2009,27(5):374-389
[129]Pan K., et al. Two-period pricing and ordering policy for the dominant retailer in a two-echelon supply chain with demand uncertainty [J]. Omega,2009,37(4):919-929
[130]Sajadieh M.S., M.R. Akbari Jokar. Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand [J]. Transportation Research Part E: Logistics and Transportation Review,2009,45(4):564-571
[131]艾兴政,廖涛,唐小我.链与链竞争的充分退货政策[J].系统工程学报,2008,6：727-734
[132]冯华,崔元锋,马士华.基于交货期库存协调的供应链转移定价研究[J].管理科学学报,2008,2：71-79
[133]郭亚军,曲道钢,赵礼强.基于电子市场的混合分销渠道定价策略研究[J].系统工程学报,2008,5：570-576
[134]谢福泉.供应链环境中的转移定价、内部营销和价值管理[J].经济问题,2008,9：58-61
[135]邢伟,汪寿阳,冯耕中.B2B电子市场对零售商最优策略影响研究[J].管理科学学报,2008,5：1-6
[136]邢伟,汪寿阳,冯耕中.B2B电子市场环境下供需双方博弈分析[J].系统工程理论与实践,2008,28(7)：56-60
[137]张克勇,周国华.基于博弈论的闭环供应链差别定价协调问题[J].经济问题,2008,9：13-15
[138]查迎春,吴杰.外生批发价下的两级供应链生产与定价问题[J].系统管理学报,2009,1： 34-39
[139]贾俊秀.定制生产下的供应链网络竞争均衡问题研究[J].系统工程学报,2009,3：299-306
[140]李枫,孙浩,达庆利.不完全信息下再制造逆向供应链的定价与协调研究[J].中国管理科学,2009,17(3)：72-80
[141]于辉,刘磊.批发价定价权转移对供应链绩效影响分析[J].系统工程理论与实践,2009,29(5)：11-16
[142]张建军,霍佳震,张艳霞.基于价格博弈的闭环供应链协调策略设计[J].管理工程学报,2009,23(2)：119-124,110
[143]罗兵,曾令玲.一种考虑订货商补贴的VMI模型[J].中国管理科学,2008,2：42-48
[144]胡劲松,闫伟.资金约束模糊报童问题Stackelberg均衡策略[J].系统工程学报,2008,6：696-701
[145]徐兵,朱道立.零售商水平竞争下二层供应链协调策略设计[J].管理工程学报,2009,4：63-70
[146]田歆,汪寿阳,华国伟.零售商供应链管理的一个系统框架与系统实现[J].系统工程理论与实践,2009,29(10)：45-52
[147]安智宇,周晶.考虑供应商违约风险的CVaR最优订货模型[J].中国管理科学,2009,17(2)：66-70
[148]Farrell M. J. Irreversible demand functions [J]. Econometrica,1952,20:171-186
[149]Wolffram R. Positivistic measures of aggregate supply elasticities:some new approaches-some critical notes [J]. American Journal of Agricultural Economics,1971,53:342-352
[150]Houck J. P. An approach to specifying and estimating non reversible functions [J]. American Journal of Agricultural Economics,1977,59:570-572
[151]Heien D. M. Markup pricing in a dynamic model of the food industry [J]. American Journal of Agricultural Economics,1980,62:11-18
[152]Engle R. F., Granger C. W. J. Cointegration and Error Correction:Representation, Estimation and Testing [J]. Econometrica,1987,55:251-276
[153]Arden R., Holly S., Turner P. The asymmetric adjustment of rices:theory and evidence from UK Manufacturing[R]. Department of Applied Economics, University of Cambridge,1997: 325-336
[154]Abdulai A. Using threshold cointegration to estimate asymmetric price transmission in the Swiss pork market [J]. Applied Economics,2002,34:679-687
[155]Von Cramon-Taubadel S. Estimating asymmetric price transmission with the error correction representation:An application to the German pork market [J]. European Review of Agricultural Economics,1998,25:1-18
[156]Balke N. S., T.B.Fomby. Threshold cointegration [J]. International Economic Review,1997, 38:627-645
[157]Enders W., Granger, C. Unit root tests and asymmetric adjustment with an example using the term structure of interest rates [J]. Journal of Business and Economic Statistics,1998,16, 304-311
[158]Walter Enders, Pierre L. Siklos. Cointegration and Threshold Adjustment [J]. Journal of Business & Economic Statistics,2001,19(2):166-176
[159]Stock H. J., Watson M. W. A simple estimator of cointegrating vectors in higher order integrated systems[J]. Econometrica,1993,61:783-820
[160]Stock H. J., Watson M. W. Testing for common trends [J]. Journal of the American Statistical Association,1994,83:1097-1107
[161]Hansen B. E., Seo B. Testing for two-regime threshold cointegration in vector error correction models[J]. Journal of Econometrics,2002,110:293-318
[162]Manning D. N. Petrol prices, oil price rises and oil price falls:some evidence for the UK since 1972[J]. Applied Economics,1991,23:1535-1541
[163]Enders W, Granger, C.WJ. Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates [J]. Journal of Business and Economic Statistics, 1998,16:304-321
[164]Frey G., Manera M. Econometric models of asymmetric price transmission [J]. Journal of Economic Surveys,2007,21:259-325
[165]Harper B. K. G. A. D. C. Price Transmission, Threshold Behavior, and Asymmetric Adjustment in the U.S.Pork Sector [J]. Journal of Agricultural and Applied Economics,2000,32(3): 543-553
[166]Hassan D.Simioni M. Price linkage and transmission between shippers and retailers in the Frengh vegetable channel[R]. INRA,2001:621-235
[167]Grasso M., Manera M. Asymmetric error correction models for the oil gasoline price relationship [R]. Fondazione Eni Enrico Mettei,2005:362-374
[168]Chen L.-H., M. Finney, K.S. Lai. A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices [J]. Economics Letters,2005,89(2):233-239
[169]Esteve V. A note on nonlinear dynamics in the Spanish term structure of interest rates [J]. International Review of Economics & Finance,2006,15(3):316-323
[170]Esteve V., et al. Threshold cointegration and nonlinear adjustment between goods and services inflation in the United States [J]. Economic Modelling,2006,23(6):1033-1039
[171]Shin D.W., O. Lee. Asymmetry and nonstationarity for a seasonal time series model [J]. Journal of Econometrics,2007,136(1):89-114
[172]Grasso M., M. Manera. Asymmetric error correction models for the oil-gasoline price relationship [J].Energy Policy,2007,35(1):156-177
[173]Dibooglu S., S.N. AlGudhea. All time cheaters versus cheaters in distress:An examination of cheating and oil prices in OPEC [J]. Economic Systems,2007,31(3):292-310
[174]Cook S. A threshold cointegration test with increased power [J]. Mathematics and Computers in Simulation,2007.73(6):386-392
[175]Al-Gudhea S., T. Kenc, S. Dibooglu. Do retail gasoline prices rise more readily than they fall? A threshold cointegration approach [J]. Journal of Economics and Business,2007,59(6): 560-574
[176]Chen M.-H. Interactions between business conditions and financial performance of tourism firms:Evidence from China and Taiwan [J]. Tourism Management,2007,28(1):188-203
[177]Choi J.J., B.N. Jeon. Financial factors in foreign direct investments:A dynamic analysis of international data [J]. Research in International Business and Finance,2007,21(1):1-18
[178]Diamandis P. F., G. P. Kouretas, L. Zarangas. Dual foreign currency markets and the role of expectations:Evidence from the Pacific Basin countries [J]. Research in International Business and Finance,2007,21(2):238-259
[179]Giot P., M. Petitjean. The information content of the Bond-Equity Yield Ratio:Better than a random walk? [J]. International Journal of Forecasting,2007,23(2):289-305
[180]Zheng Y., T. Zheng, Y. Zixia. Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap [J]. Mathematics and Computers in Simulation, 2008.78(4):507-513
[181]Sergio K.J. Tests for the hysteresis hypothesis in Brazilian industrialized exports:A threshold cointegration analysis [J]. Economic Modelling,2008,25(2):171-190
[182]Jin-Li H., L. Cheng-Hsun. Disaggregated energy consumption and GDP in Taiwan:A threshold co-integration analysis [J]. Energy Economics,2008.30(5):2342-2358.
[183]Aggarwal R., W. Simmons. Common stocastic trends among Caribbean currencies:Evidence from Guyana, Jamaica, and Trinidad and Tobago [J]. Journal of Economics and Business, 2008,60(3):277-289
[184]Christoffersen P., et al. Option valuation with long-run and short-run volatility components [J].Journal of Financial Economics,2008,90(3):272-297
[185]Jacobsen B.J., X. Liu. China's segmented stock market:An application of the conditional international capital asset pricing model [J]. Emerging Markets Review,2008,9(3):153-173
[186]Lee C.-C., C.-P. Chang. Tourism development and economic growth:A closer look at panels [J].Tourism Management,2008,29(1):180-192
[187]Narayan P.K., S. Narayan. Testing for capital mobility:New evidence from a panel of G7 countries [J]. Research in International Business and Finance,2008,24(1):15-23
[188]Ouerfelli C. Co-integration analysis of quarterly European tourism demand in Tunisia [J].Tourism Management,2008,29(1):127-137
[189]Smith K. L., P. E. Swanson. The dynamics among G7 government bond and equity markets and the implications for international capital market diversification [J]. Research in International Business and Finance,2008,22(2):222-245
[190]Uz I., N. Ketenci. Panel analysis of the monetary approach to exchange rates:Evidence from ten new EU members and Turkey [J].Emerging Markets Review,2008,9(1):57-69
[191]Bhattacharya P.S., D.D. Thomakos. Forecasting industry-level CPI and PPI inflation:Does exchange rate pass-through matter?[J]. International Journal of Forecasting,2008,24(1): 134-150
[192]Bonham C., B. Gangnes, T. Zhou. Modeling tourism:A fully identified VECM approach [J].International Journal of Forecasting,2009,25(3):531-549
[193]Chang Y.-H., Y.-W. Chang. Air cargo expansion and economic growth:Finding the empirical link [J]. Journal of Air Transport Management,2009,15(5):264-265
[194]Katircioglu S. T., Revisiting the tourism-led-growth hypothesis for Turkey using the bounds test and Johansen approach for cointegration [J]. Tourism Management,2009,30(1):17-20
[195]Morana C. On the macroeconomic causes of exchange rate volatility [J]. International Journal of Forecasting,2009,25(2):328-350
[196]Santoro E., E. Gaffeo. Business failures, macroeconomic risk and the effect of recessions on long-run growth:A panel cointegration approach [J]. Journal of Economics and Business, 2009,61(6):435-452
[197]Tang C.-H., S. Jang. The tourism-economy causality in the United States:A sub-industry level examination [J]. Tourism Management,2009,30(4):553-558
[198]Vo X. V. International financial integration in Asian bond markets [J]. Research in International Business and Finance,2009,23(1):90-106
[199]Guidolin M., et al. Non-linear predictability in stock and bond returns:When and where is it exploitable? [J]. International Journal of Forecasting,2009,25(2):373-399
[200]Lahiani A., O. Scaillet. Testing for threshold effect in ARFIMA models:Application to US unemployment rate data [J]. International Journal of Forecasting,2009,25(2):418-428
[201]Azzam A. M. Asymmetry and rigidity in farm-retail price transmission [J]. American Journal of Agricultural Economics,1999,59:570-572
[202]Ward R.W. Asymmetry in Retail, Wholesale, and Shipping Price Point Pricing for Fresh Vegetables [J]. American Journal of Agricultural Economics,1982,64:205-212
[203]Peltzman S. Prices rise faster than they fall [J]. The Journal of Political Economy,2000, 108:466-502
[204]Kinnucan H. W., Forker O. D. Asymmetry in farm retail price transmission for major dairy products [J]. American Journal of Agricultural Economics,1987,69:285-292
[205]Brorsen B.W, J.-P. Chavas, W.R. Grant, L.D. Schnake. Marketing Margins and Price Uncertainty:The Case of the US Wheat Market [J]. American Journal of Agricultural Economics,1985,67:521-528
[206]Obstfeld M., A.M. Taylor. Nonlinear aspects of goods-market arbitrage and adjustment: Heckscher's commodity points revisited [J]. Journal of the Japanese and International Economies,1997,11:441-479
[207]Berben R.-P., D. van Dijk. Nonlinear Adjustment to Purchasing Power Parity:Evidence on the Effects of Transactions Costs [R]. Tinbergen Institute, Erasmus University Rotterdam,1998: 245-266
[208]Lo M., Zivot E. Threshold cointegration and nonlinear adjustment to the law of one price [J]. Macroeconomic Dynamics,2001,5:533-576
[209]Gonzales F., Guillotreau P., LeGrel L., Simioni M. Asymmetry of price transmission within the French value chain of seafood products[R]. INRA Working Paper,2003:344-356
[210]孙清华,张喜斌,张世英.非线性协整关系的存在性研究[J].管理科学学报,2000,3(2)：65-74
[211]程细玉,张世英.向量分整序列的非线性协整研究[J].系统工程理论方法应用,2001,1：85-88
[212]柯珂,张世英.Arch模型的诊断分析[J].管理科学学报,2001,2：12-18
[213]刘印旭,张世英.基于门限协整系统的预测方法研究[J].数量经济技术经济研究,2005,8：129-136
[214]李松臣,张世英.多元变结构门限Garch模型的伪协同持续性研究[J].系统工程理论与实践,2007,10：71-76,92
[215]潘婉彬,陶利斌,缪柏其.利率期限结构模型非线性建模[J].中国管理科学,2008,16(5)：17-21
[216]王军波,邓述慧.中国利率政策和证券市场的关系的分析[J].系统工程理论与实践,1999,19(08)：35-40
[217]魏巍贤.人民币汇率的稳定机制及其动态过程(Ⅱ)——实证分析.系统工程理论与实践,1999,19(08)：52-58
[218]张世英,李汉东,等.金融风险的持续性及其规避策略[J].系统工程理论与实践,2002,22(05)：31-36
[219]刘伟,胡兵,等.财政赤字、实际有效汇率与贸易收支——基于中国数据的实证检验[J].管理世界,2007,04：38-46
[220]杨建辉,潘虹.国际原油价格、人民币实际汇率与中国宏观经济研究[J].系统工程理论与实践,2008,28(01)：25-32
[221]钱行.通货膨胀国际间传导对我国影响的实证检验[J].数量经济技术经济研究,2006,23(11)：113-123
[222]陈学胜,周爱民.交叉上市股票价格发现及贡献差异的横截面分析[J].中国管理科学,2009,17(02)：21-28
[223]刘金全,隋建利,李楠.基于非线性VAR模型对我国货币政策非对称作用效应的实证检验[J].中国管理科学,2009,03：47-55
[224]毕玉江.人民币汇率变动对中国进口商品价格的传递效应——基于VECM的实证研究[J].数量经济技术经济研究,2008,25(08)：70-82
[225]杨海珍,李银华,赵艳平,李京.金融风暴下国际资本流动态势及其对中国宏观经济的影响[J].管理评论,2009,21(2)：40-45,67
[226]蒋翠侠,张世英.多元广义自回归条件密度建模及应用[J].管理科学学报,2009,01：82-92
[227]刘向丽,成思危,汪寿阳,洪永淼.期现货市场间信息溢出效应研究[J].管理科学学报,2008,11(03)：125-139
[228]李亚明,佟仁城.中国房地产财富效应的协整分析和误差修正模型[J].系统工程理论与实践,2007,27(11)：18-26
[229]马超群,余升翔,陈彦玲,王振全.中国上海燃料油期货市场信息溢出研究[J].管理科学学报,2009,03：92-101
[230]焦建玲,范英,魏一鸣.基于VECM的汽柴油价格不对称性分析[J].中国管理科学,2006, 14(03)：97-102
[231]丁晨,屠梅曾.论房价在货币政策传导机制中的作用——基于VECM分析[J].数量经济技术经济研究,2007,24(11)：106-114,132
[232]陈建军,胡晨光.产业集聚的集聚效应——以长江三角洲次区域为例的理论和实证分析[J].管理世界,2008,06：68-83
[233]王德章,宋德军.中国流通业创新与城市经济发展[J].中国软科学,2007,05：125-129,153
[234]李柏洲,朱晓霞.区域创新系统(RIS)创新驱动力研究[J].中国软科学,2007,08：93-99
[235]李金昌,窦雪霞.经济转型时期中国农村居民消费与收入关系变迁实证分析[J].中国农村经济,2007,07：45-52
[236]徐桂民,綦建红,鞠磊.劳动力外移、国际贸易与产业结构调整——基于1984-2004年中国数据的协整分析与格兰杰因果检验[J].中国工业经济,2007,07;31-37
[237]吴先华,郭际.影响我国汽车产业竞争力的因素分析：一个UECM模型[J].系统工程理论与实践,2007,27(03)：60-66
[238]孙燕.经济转型时期我国城镇居民消费与收入的长期均衡关系[J].系统工程,2007,25(04)：110-113
[239]柳思维,吴忠才.中国旅游业与经济增长关系的实证研究[J].系统工程,2007,25(09)：60-64
[240]李中才,王广成,娄美珍.中国生态足迹与经济增长的协整、误差修正模型及预测[J].系统工程,2007,25(08)：63-67
[241]张嫘,方天堃.我国城乡收入差距变化与经济增长的协整及因果关系分析[J].农业技术经济,2007,03：38-43
[242]许治,周寄中.政府公共R&D与中国经济增长——基于协整的实证分析[J].科研管理,2007,28(04)：60-66
[243]张超.经济体制转型与人力资本积累关系的实证分析[J].经济研究,2007,12：42-48
[244]李廉水,周彩红.区域分工与中国制造业发展——基于长三角协整检验与脉冲响应函数的实证分析[J].管理世界,2007,10：36-42
[245]王火根,龙建辉.能源消费与经济增长非线性关系分析：基于门限协整系统[J].技术经济与管理研究,2008,04：94-97
[246]朱恒源,刘广,吴贵生.城乡二元结构对产品扩散的影响研究：以彩电采用为例[J].管理世界,2006,04：66-72
[247]李季,王汉生,涂平.对于尝试-重购新产品扩散模型的改进：logit模型及NILS估计[J].中国管理科学,2008,16(06)：105-111
[248]Bradley Efron. Bootstrap Methods:Another Look at the Jackknife [J]. The Annals of Statistics, 1979,7(1):1-26
[249]Lloyd T., McCorriston S., Morgan, W. How do markets respond to food scares? [R], Discussion Papers in Economics. University of Nottingham,2003, No.03/18:336-342
[250]Nicholas E. Piggott, Thomas L. Marsh. Does Food Safety Information Impact U.S. Meat Demand&quest [J]. American Journal of Agricultural Economics,2004,86(1):154-174
[251]Saghaian, et al. Dynamics of Price Transmission in the Presence of a Major Food Safety Shock: Impact of H5N1 Avian Influenza on the Turkish Poultry Sector [J]. Journal of Agricultural and Applied Economics.2008,40(3):1015-1031
[252]魏来,陈宏.绿色农产品电子商务平台对于供应链垂直协作体系的影响研究[J].软科学,2007,21(5)：68-71
[253]魏来,陈宏,刘晓林.以农业综合型企业为核心的绿色农产品供应链研究[C].农产品供应链管理与农业产业化经营：理论与实践(2006年农产品供应链管理与农业产业化经营国际研讨会论文集),2007：127-131
[254]Lai Wei, Hong Chen, Jie Zhang. A Framework for Designing E-Commerce Platform of New Agricultural Products for Services [C].2008 International Symposium on Knowledge Acquisition and Modeling,2008:345-349
[255]Lai WEI, Hong CHEN, Jie ZHANG, Wenlin CHEN. The Supply Chain Coordination in Seller Centric B2B e-Commerce Platform of Perishable Products [J]. Journal of Computational Information Systems,2009,5(3):255-263
[256]Webster S., Weng Z. K. A risk-free perishable item returns policy [J]. Manufacturing & Service Operations Management,2000,2:100-106
[257]Spengler J.J. Vertical integration and antitrust policy [J]. Journal of Political Economy,1950, 58:347-352
[258]Tsay A. Managing retailer channel overstock:markdown money and return policies [J]. Journal of retailing,2001,77:457-492
[259]Lai Wei, Hong Chen. Emergent Management for Consumable Industry Chains after Natural Disasters [C].2009ICMeCG, 2009:301-305
[260]J.Fiksel.Sustainability and resilience:toward a systems approach [J]. Sustainability Science, Practice and Policy,2006,2(2):14-21
[261]C. Brindley. Supply Chain Risk [M]. Ashgate Publishing, Aldershot, United Kingdom, 2004:411-423
[262]Y. Sheffi, J. B. Rice. A supply chain view of the resilient enterprise [J]. MIT Sloan Management Review,2005,47(1):41-48
[263]L. V. Snyder, M. P. Scaparra, M. S. Daskin, R. L. Church. Planning for disruptions in supply chain networks. In:Greenber, H. (Ed.), Forthcoming in Tutorials in Operations Research[R]. INFORMS, Baltimore, MD.2006:563-574
[264]A. M. Knemeyer. Proactive planning for catastrophic events in supply chains[R]. J Operations Manage,2008, doi:10.1016/j.jom.2008.06.002
[265]M. A. Cohen, H. Kunreuther.Operations risk management:overview of Paul Kleindorfer's contributions [J]. Production and Operations Management,2007,16(5):525-541
[266]T. Wu, J. Blackhurst, P. O'Grady. Methodology for supply chain disruption analysis [J]. International Journal of Production Research,2007,45(7):1665-1682
[267]J. Hallikas, I. Karvonen, U. Pulkkinen,V. Virolainen, M.Tuominen.Risk management processes in supplier networks [J]. International Journal of Production Economics,2004,90(1):47-58
[2]Whiting J. S. S. Ferromagnetic resonance ripple effects in single crystal nickel films [J]. Physics Letters A,1974,50(4):251-252
[3]Peirce W. S. The ripple effects of technological innovation:The case of iron ore palletizing [J]. Omega,1974,2(1):43-51
[4]Yoshida R. K., et al. Ripple effect:Communication of planning team decisions to program implementers [J]. Journal of School Psychology,1978,16(2):177-183
[5]Shield D., D. Storm. The economic ripple effects of operations [J]. Fuel and Energy Abstracts, 1996,37(2):156-156
[6]魏来,陈宏,张洁.产业链价格波及效应的不对称传递[J].系统工程理论与实践,2009,29(7)：1-7
[7]Forrester J W. Industrial Dynamics[M]. MIT Press,1962:31-45
[8]李刚,汪寿阳,于刚,阎洪.牛鞭效应与生产平滑模型有效性问题[J].管理科学学报,2004,7(1)：1-18
[9]Lee H. L., V. Padmanabhan, S. Whang.Information distortion in a supply chain:The Bullwhip Effect [J]. Management Science,1997a,43(4):546-558
[10]Lee H. L., V. Padmanabhan, S. Whang. The bullwhip effect in supply chains [J]. Sloan Management Review,1997b,38(3):93-102
[11]马新安,张列平.供应链中的时滞[J].系统工程理论与实践,2002,22(5)：43-48
[12]Goran Svensson. The multiple facets of the bullwhip effect:refined and re-defined [J]. International Journal of Physical Distribution & Logistics Management,2005:325-331
[13]万杰,李敏强.供应链中分配机制对牛鞭效应的影响研究[J].系统工程学报,2002,8：340-348
[14]路应金,唐小我,张勇.供应链中牛鞭效应的分形特征研究[J].系统工程学报,2006,5：463-469
[15]王伟钧,唐小我,倪得兵.需求信息滞后下的零售商决策与牛鞭效应分析[J].中国管理科学,2008,4：84-89
[16]Towill D. The dynamic analysis approach to manufacturing systems design [J]. Journal of Advanced Management Engineering,1989,1:131-140
[17]Towill D.Time compression and the supply chain:A guided tour [J].Supply Chain Management, 1996, 1(1):15-27
[18]Towill D. FORRIDGE:Principles of good practice in material flow [J]. Production Planning and Control,1997,8(7):622-632
[19]Disney S. M., M. M. M. Naim, D. R. Towill. Genetic algorithm optimization of a class of inventory contuol systems [J].International Journal of Production Economics,2000,68:259-278
[20]Disney S. M., D. R. Towill.Inventory drift and instability in order-up-to replenishment policies[C]. Proceedings of the 12th International Symposium on Inventories,2002a:212-223
[21]Disney S. M., D. R. Towill. A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain [J].International Journal of Production Research,2002b,40(1):179-204
[22]Dejonckheere J., S. M. Disney, M. R. Lambrecht, D. R. Towill.Measuring and avoiding the bullwhip effect:A control theoretic approach [J]. European Journal of Operational Research, 2002a,147:567-590
[23]Dejonckheere J., S. M. Disney, M. R. Lambrecht, D. R. Towill. Transfer function analysis of forecasting induced bullwhip in supply chains [J]. International Journal of Production Economics,2002b,78:133-134
[24]S.M.Disney, D. R. Towill. Variance amplification and the golden ratio in production and inventory control [J], International Journal of Production Economics,2004,90(3):295-309
[25]Chen F., Drezner Z., Ryan J. K., Simchi-Levi D. Quantifying the bullwhip effect in a simple supply chain [J].Management Science,2000a,46(3):436-443
[26]Chen F., Drezner Z., Ryan J. K., Simchi-Levi D. The impact of exponential smoothing forecasts on the bullwhip effect [J]. Naval Research Logistics,2000b,47:269-286
[27]Saeed K. Trend forecasting for stability in supply chains [J]. Journal of Business Research,2008, 61(11):1113-1124
[28]Balan S., P. Vrat, P. Kumar. Information distortion in a supply chain and its mitigation using soft computing approach [J]. Omega,2009,37(2):282-299
[29]Haughton M.A. Distortional Bullwhip Effects on carriers [J]. Transportation Research Part E: Logistics and Transportation Review,2009,45(1):172-185
[30]尤建新,隋明刚,霍佳震.闭环供应链牛鞭效应分析[J].系统工程理论与实践,2007, 27(12)：111-116
[31]王冬冬,达庆利.基于模糊Petri网的供应链牛鞭效应的成因与控制建模分析[J].系统管理学报,2007,1：6-11
[32]黄小原,卢震.分销中心供应链模型及牛鞭效应的H∞控制应用分析[J].中国管理科学,2003,11(1)：42-47
[33]黄小原,卢震.供应链牛鞭效应的H∞控制应用研究[J].控制与决策,2003,18(2)：155-158
[34]卢震,黄小原.供应链牛鞭效应的随机控制[J].信息与控制,2003,32(1)：36-39
[35]葛汝刚,黄小原.参数不确定的供应链传递函数H∞保成本计算与分析[J].控制与决策,2009,6：874-878
[36]刘春玲,黎继子,孟波.基于两单链合作下的集群式供应链牛鞭效应的H∞控制研究[J].中国管理科学,2007,1：41-46
[37]张钦,达庆利,沈厚才.在ARIMA(0,1,1)需求下的牛鞭效应与信息共享的评价[J].中国管理科学,2001,9(6)：1-6
[38]达庆利,张钦,沈厚才.供应链中牛鞭效应问题研究[J].管理科学学报,2003,6(3)：86-93
[39]张钦,达庆利.供应商管理库存和牛鞭效应[J].东南大学学报,2004,20(1)：108-112
[40]廖成林,宋波,李忆.非平稳需求状态下虚拟企业牛鞭效应的存在性分析[J].中国管理科学,2006,1：43-49
[41]林琳.最优需求预测下预测与处理过程中的牛鞭效应[J].系统工程学报,2006,3：266-272,312
[42]刘红,王平.基于不同预测技术的供应链牛鞭效应分析[J].系统工程理论与实践,2007,27(07)：26-33
[43]汪传旭,崔建新ARMA(1,1)需求条件下需求信息延迟对两级供应链牛鞭效应和平均成本的影响[J].系统管理学报,2007,3：332-336
[44]刘开军,张子刚,周永红.线性库存管理策略下供应链中需求传播过程[J].管理科学学报,2008,4：94-103
[45]汪传旭.基于ARMA(1,1)需求的供应链历史订单量信息价值的分析[J].管理工程学报,2006,4：25-30
[46]郝国英,孔造杰,韩海彬.供应链中信息共享对各环节库存的影响研究[J].系统工程理论与实践,2007,27(09)：131-135
[47]刘开军,张子刚.需求信息可部分观察时供应链中的信息汇聚效应[J].中国管理科学,2008,2：83-90
[48]刘开军,张子刚.需求未知情况下供应链中的信息汇聚效应[J].管理科学学报,2009,4： 103-114,144
[49]罗昌,贾素玲,王惠文.基于系统动力学的供应链稳定性研究[J].系统仿真学报,2008,14：3815-3819,3824
[50]Y. Deng, McKendall Jr., Alan R., Jaraiedi, Majid. Dynamic pricing under uncertainty using fuzzy logic [J]. International Journal of Industrial Engineering:Theory Applications and Practices.2004,11(11):99-107
[51]W.-C. L. Cheng-Liang Chen. Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices [J]. Computers and Chemical Engineering, 2004:1131-1144
[52]L. Z. Zhang TieZhu, Teng ChunXian, Hu YunQuan. Study on the supply chain's pricing decision based on bilevel programming [J]. Control and Decision,2005,20:992-995
[53]J. Y. Zhou Wei. Coordination method for multi-plants supply chain production planning based on Lagrange relaxation algorithm [J]. Computer Integrated Manufacturing Systems,2005, 11:1255-1259
[54]K. J. Inventory and the volatility of production [J]. American Economic Review,1987,77: 667-779
[55]D. Y. Xu K. Vendor Managed Inventory:Towards a Better Coordination of Information in a Supply Chain[C], Proceedings of ICM98,1998:526-532
[56]D. Z. Chen F., Ryan J. K., David Simchi-Levi. Quantifying the bullwhip effect in a simple supply chain:The impact of forecasting, lead times, and information[J]. Management Science, 2000:436-443
[57]L. H. S. K. C. T. C. S. The value of information sharing in a two-level supply chain [J].Management Science,2000:626-643
[58]S. K. C. Lee H., Tang Christopher S. The value of information sharing in a two-level supply chain [J].Management Science,2000:626-643
[59]G. S.C. A single-item inventory model for a non-stationary demand process [J]. Manufacturing & Service Operation Management,1999:50-61
[60]揭晖,黄培清.供应链管理中的价格波动[J].上海交通大学学报,2001,35：919-921
[61]V. G. Narayanan, A. Raman, J. Singh. Agency costs in a supply chain with demand uncertainty and price competition [J]. Management Science,2005,51:120-132
[62]J. Olhager, Selldin E. Supply chain management survey of Swedish manufacturing firms [J]. International Journal of Production Economics,2004:353-361
[63]D. B. Thomas, A. J. Convertine, L. J. Myrick, C. W. Scales, A. E. Smith, A. B. Lowe, Y. A. Vasilieva, N. Ayres, and C. L. McCormick. Kinetics and molecular weight control of the polymerization of acrylamide via RAFT [J]. Macromolecules,2004,37:8941-8950
[64]J. J. Gu QiaoLun, Gao TieGang,Shi LianShuan. Research on price decision for reverse supply chain based on fixed lowest quantitative demand [J].Computer Integrated Manufacturing Systems,2005,11:1751-1757
[65]E. Sucky. A bargaining model with asymmetric information for a single supplier-single buyer problem [J]. European Journal of Operational Research,2006,171:516-535
[66]V. D. Mishra Debasis. An ascending price procurement auction for multiple items with unit supply [J]. IIE Transactions,2006,38:127-140
[67]P. B. Luh, Ni,Ming, Chen Haoxun, Thakur, L.S. Price-based approach for activity coordination in a supply network [J]. IEEE Transactions on Robotics and Automation,2003,19:335-346
[68]L. H. Lau Amy Hing Ling, Zhou YongWu. Considering asymmetrical manufacturing cost information in a two-echelon system that uses price-only contracts [J]. IIE Transactions,2006, 38:253-271
[69]Z. Hui-Li.Research on telecommunication resale service supply chain coordination with wholesale contract [J]. Journal of Nanjing Institute of Posts and Telecommunications,2005, 25:48-52
[70]V. A. P.L. Abada.Incorporating transport cost in the lot size and pricing decisions with downward sloping demand [J]. International Journal of Production Economics,2005:297-305
[71]P. W. Keller, F.-O. Duguay, D. Precup. RedAgent-2003:An autonomous, market-based supply-chain management agent [N]. New York, NY, United States,2004:726-735
[72]H. E. Kahn, Fred F.The role of pricing in supply chain profits[C]. Proceedings-Annual Meeting of the Decision Sciences Institute,2002:605-610
[73]H. P.-Q. Yang Qing-Ding. Multilateral international ordering decision-making of manufacturer under price uncertainty [J]. Control and Decision,2006,21:60-63
[74]L. S. Hua Zhongsheng, Liang Liang. Impact of demand uncertainty on supply chain cooperation of single-period products [J]. International Journal of Production Economics,2006,100:268-284
[75]L. Y. Ge Jian, Xia GuoPing, Research on global supply chain production planning under uncertain environment[J]. Computer Integrated Manufacturing Systems,2005,11:1120-1126
[76]L. Lei, Q. Wang, C. Fan. Optimal business policies for a supplier-transporter- buyer channel with a price-sensitive demand [J].Journal of the Operational Research Society,2006,57:281-289
[77]Y.-F. Li, G.-P. Xia. Lot sizing order model of global supply chain[J]. Computer Integrated Manufacturing Systems, CIMS,2005,11:79-84
[78]H. X. Guo Haifeng. Optimization purchase price and the profit policy under vendor managed inventory [J]. Journal of Systems Engineering and Electronics,2005,16:321-324
[79]K. Moinzadeh, J. Son, T. D. Klastorin. Coordinating orders in supply chains through price discounts [J]. IIE Transactions (Institute of Industrial Engineers),2002,34:679-689
[80]A. J. Yue Jinfeng, Wang Min-Chiang,Huang Zhimin. Coordination of cooperative advertising in a two-level supply chain when manufacturer offers discount [J]. European Journal of Operational Research,2006,168:65-85
[81]G. C. Xu MingHui. Supply chain coordination with demand disruptions under convex production cost function [J]. Wuhan University Journal of Natural Sciences,2005,10:493-498
[82]Coase R. H. The Nature of the Firm, Economica, New Series,1937,4(16):386-405.
[83]Malone T. W., Joanne Y., Benjamin, R. I. Electronic Markets and Electronic Hierarchies [J], Communications of the ACM,1987,30(6):484-497.
[84]Holland C. P., Lockett, A. G. Mixed Mode Network Structures:The Strategic Use of Electronic Communication by Organizations [J], Organization Science,1997,8(5):475-488.
[85]Morita H., Nakahara, H. Impacts of the Information-Technology Revolution on Japanese Manufacturer-Supplier Relationships [J], Journal of the Japanese and International Economies, 2004,18:390-415
[86]Phillips C., Meeker M. The B2B Internet Report—Collaborative Commerce[R]. Morgan Stanley Dean Witter, New York,2000:256-267
[87]Wise R., Morrison D, Beyond the exchange:The future of B2B [J], Harvard Business Review, 2000,78(November-December):86-96.
[88]Pasternack B. Optimal pricing and returns policies for perishable commodities [J]. Marketing Science,1985,4(2):166-176.
[89]Song H. M., Ma S. H. An extended supply chain revenue sharing contract with consideration of influence of order time [J]. System Engineering,2005,23(9):59-63.
[90]Jeuland A., S. Shugan. Managing Channel Profits [J]. Marketing Science,1983,2(3):239-272.
[91]Padmanabhan V., I. P. L. Png. Returns policies:make money by making good [J]. Sloan Management Review (Fall),1995:65-72
[92]Emmons H., S. Gilbert. Returns policies in pricing and inventory decisions for catalogue goods [J]. Management Science,1998,44(20):276-83
[93]Taylor T. Coordination under channel rebates with sales effort effect [J]. Management Science, 2002,48(8):992-1007
[94]Li M. K., Wang K. R., Fang F. The time-based newsboy problem:application, formulation and solution [J].Systems Engineering Theory Methodology Applications,2003,12(2):146-152
[95]XIAO Yongbo, C.J., XU Xiaolin. Perishable product supply chain coordination under CIF business model with long distance transportation [J]. Systems Engineering Theory and Practice,2008,28(12):19-25,34
[96]Charles X. Wang, M. Benaroch. Supply chain coordination in buyer centric B2B electronic markets [J]. Int. J. Production Economics,2004,92:113-124
[97]A. Chande, S. Dhekane, N. Hemachandra, N. Rangaraj. Perishable inventory management and dynamic pricing using RFID technology [J]. Sadhana-Academy Proceedings in Engineering Science,2005,30:445-462
[98]V. Jayaraman, T. Baker. The internet as an enabler for dynamic pricing of goods [J]. IEEE Transactions on Engineering Management,2003,50:470-477
[99]V. Hosanagar Kartik, Krishnan Ramayya, Chuang John, Choudnary. Pricing and resource allocation in caching services with multiple levels of quality of service [J]. Management Science,2005,51:1844-1859
[100]S. Saha, Sen, Sandip. Aggressive pricing to exploit market niches in supply chains [J]. IEEE Intelligent Systems.2005,20:36-41
[101]A. Burnetas and P. Ritchken. Option pricing with downward-sloping demand curves:The case of supply chain options [J]. Management Science.2005,51:566-580
[102]V. C. B. Stephen M. Gilbert A. Strategic commitment to price to stimulate downstream innovation in a supply chain [J]. European Journal of Operational Research,2003:617-639
[103]O. T. Grey William, Shi Dailun. The role of e-marketplaces in relationship-based supply chains: A survey [J]. IBM Systems Journal.2005,44:109-123
[104]H. B. Gan MingXin. Modeling of procurement and pricing strategy in supply chain under shortage of accessory [J]. Transaction of Beijing Institute of Technology,2005,25:697-700
[105]唐小我.无外部市场条件下中间产品转移价格的研究[J].管理科学学报,2002,5(1)：12-18
[106]慕银平,唐小我,马永开.存在外部垄断市场的中间产品转移定价研究[J].系统工程理论与实践,2003,23(07)：36-42
[107]杜义飞,李仕明.供应链中间产品动态价格振荡系统及其收敛性分析[J].控制与决策,2005,20(06)：646-649
[108]慕银平,唐小我,刘英.多产品企业集团的中间产品转移定价策略分析[J].系统工程理论与实践,2005,25(07)：50-57
[109]慕银平,唐小我,马永开.存在产量和价格竞争外部市场的企业集团转移定价研究[J].管理工程学报,2005,19(02)：104-109
[110]汪文利,王海燕.两级供应链中间产品动态价格的稳定性分析(英文)[J] Journal of Southeast University(English Edition),2007(S1):57-63
[111]陈业华,邱菀华.供应链系统动态价格波动的熵模型[J].系统工程理论与实践,2008,28(10)：46-52
[112]慕银平,唐小我,刘英.信息不对称条件下寡头集团转移定价决策分析[J].控制与决策,2008,01：30-34,40
[113]慕银平,唐小我,刘英.寡头竞争中间产品市场的转移定价策略研究[J].系统工程学报,2009,24(04)：438-444
[114]Chen J., X. Chen X. Song. Comparison of the group-buying auction and the fixed pricing mechanism [J]. Decision Support Systems,2007,43(2):445-459
[115]Chen J.-M., T.-H. Chen. The profit-maximization model for a multi-item distribution channel [J].Transportation Research Part E:Logistics and Transportation Review,2007,43(4):338-354
[116]Newman, W.R., T.C. Krehbiel. Linear performance pricing:A collaborative tool for focused supply cost reduction [J]. Journal of Purchasing and Supply Management,2007,13(2):152-165
[117]Webster S., S. Mitra. Competitive strategy in remanufacturing and the impact of take-back laws [J]. Journal of Operations Management,2007,25(6):1123-1140
[118]Parmesano H. Rate Design Is the No.1 Energy Efficiency Tool [J].The Electricity Journal, 2007,20(6):18-25
[119]Perez E. A model of vertical integration and investment in generation capacity in electricity markets:The case of the bidding game [J]. Socio-Economic Planning Sciences,2007,41(4): 272-290
[120]Barmack M., et al. Econometric models of power prices:An approach to market monitoring in the Western US [J]. Utilities Policy,2008,16(4):307-320
[121]Haghighat H., H. Seifi, A. Rahimi Kian. The role of market pricing mechanism under imperfect competition [J].Decision Support Systems,2008,45(2):267-277
[122]Tishler A., et al. Assessing the options for a competitive electricity market in Israel [J]. Utilities Policy,2008,16(1):21-29
[123]Choi T.-M., et al. Channel coordination in supply chains with agents having mean-variance objectives [J]. Omega,2008,36(4):565-576
[124]Ding D., J. Chen. Coordinating a three level supply chain with flexible return policies [J]. Omega,2008,36(5):865-876
[125]Chen Y.J., J.-B. Sheu. Environmental-regulation pricing strategies for green supply chain management [J]. Transportation Research Part E:Logistics and Transportation Review,2009, 45(5):667-677
[126]Ketter W., et al. Detecting and forecasting economic regimes in multi-agent automated exchanges [J]. Decision Support Systems,2009,47(4):307-318
[127]Lin C.-T., Y.M. Chen. Hedging strategic flexibility in the distribution optimization problem [J]. Omega,2009,37(4):826-837
[128]Narasimhan R., et al. Lock-in situations in supply chains:A social exchange theoretic study of sourcing arrangements in buyer-supplier relationships [J]. Journal of Operations Management, 2009,27(5):374-389
[129]Pan K., et al. Two-period pricing and ordering policy for the dominant retailer in a two-echelon supply chain with demand uncertainty [J]. Omega,2009,37(4):919-929
[130]Sajadieh M.S., M.R. Akbari Jokar. Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand [J]. Transportation Research Part E: Logistics and Transportation Review,2009,45(4):564-571
[131]艾兴政,廖涛,唐小我.链与链竞争的充分退货政策[J].系统工程学报,2008,6：727-734
[132]冯华,崔元锋,马士华.基于交货期库存协调的供应链转移定价研究[J].管理科学学报,2008,2：71-79
[133]郭亚军,曲道钢,赵礼强.基于电子市场的混合分销渠道定价策略研究[J].系统工程学报,2008,5：570-576
[134]谢福泉.供应链环境中的转移定价、内部营销和价值管理[J].经济问题,2008,9：58-61
[135]邢伟,汪寿阳,冯耕中.B2B电子市场对零售商最优策略影响研究[J].管理科学学报,2008,5：1-6
[136]邢伟,汪寿阳,冯耕中.B2B电子市场环境下供需双方博弈分析[J].系统工程理论与实践,2008,28(7)：56-60
[137]张克勇,周国华.基于博弈论的闭环供应链差别定价协调问题[J].经济问题,2008,9：13-15
[138]查迎春,吴杰.外生批发价下的两级供应链生产与定价问题[J].系统管理学报,2009,1： 34-39
[139]贾俊秀.定制生产下的供应链网络竞争均衡问题研究[J].系统工程学报,2009,3：299-306
[140]李枫,孙浩,达庆利.不完全信息下再制造逆向供应链的定价与协调研究[J].中国管理科学,2009,17(3)：72-80
[141]于辉,刘磊.批发价定价权转移对供应链绩效影响分析[J].系统工程理论与实践,2009,29(5)：11-16
[142]张建军,霍佳震,张艳霞.基于价格博弈的闭环供应链协调策略设计[J].管理工程学报,2009,23(2)：119-124,110
[143]罗兵,曾令玲.一种考虑订货商补贴的VMI模型[J].中国管理科学,2008,2：42-48
[144]胡劲松,闫伟.资金约束模糊报童问题Stackelberg均衡策略[J].系统工程学报,2008,6：696-701
[145]徐兵,朱道立.零售商水平竞争下二层供应链协调策略设计[J].管理工程学报,2009,4：63-70
[146]田歆,汪寿阳,华国伟.零售商供应链管理的一个系统框架与系统实现[J].系统工程理论与实践,2009,29(10)：45-52
[147]安智宇,周晶.考虑供应商违约风险的CVaR最优订货模型[J].中国管理科学,2009,17(2)：66-70
[148]Farrell M. J. Irreversible demand functions [J]. Econometrica,1952,20:171-186
[149]Wolffram R. Positivistic measures of aggregate supply elasticities:some new approaches-some critical notes [J]. American Journal of Agricultural Economics,1971,53:342-352
[150]Houck J. P. An approach to specifying and estimating non reversible functions [J]. American Journal of Agricultural Economics,1977,59:570-572
[151]Heien D. M. Markup pricing in a dynamic model of the food industry [J]. American Journal of Agricultural Economics,1980,62:11-18
[152]Engle R. F., Granger C. W. J. Cointegration and Error Correction:Representation, Estimation and Testing [J]. Econometrica,1987,55:251-276
[153]Arden R., Holly S., Turner P. The asymmetric adjustment of rices:theory and evidence from UK Manufacturing[R]. Department of Applied Economics, University of Cambridge,1997: 325-336
[154]Abdulai A. Using threshold cointegration to estimate asymmetric price transmission in the Swiss pork market [J]. Applied Economics,2002,34:679-687
[155]Von Cramon-Taubadel S. Estimating asymmetric price transmission with the error correction representation:An application to the German pork market [J]. European Review of Agricultural Economics,1998,25:1-18
[156]Balke N. S., T.B.Fomby. Threshold cointegration [J]. International Economic Review,1997, 38:627-645
[157]Enders W., Granger, C. Unit root tests and asymmetric adjustment with an example using the term structure of interest rates [J]. Journal of Business and Economic Statistics,1998,16, 304-311
[158]Walter Enders, Pierre L. Siklos. Cointegration and Threshold Adjustment [J]. Journal of Business & Economic Statistics,2001,19(2):166-176
[159]Stock H. J., Watson M. W. A simple estimator of cointegrating vectors in higher order integrated systems[J]. Econometrica,1993,61:783-820
[160]Stock H. J., Watson M. W. Testing for common trends [J]. Journal of the American Statistical Association,1994,83:1097-1107
[161]Hansen B. E., Seo B. Testing for two-regime threshold cointegration in vector error correction models[J]. Journal of Econometrics,2002,110:293-318
[162]Manning D. N. Petrol prices, oil price rises and oil price falls:some evidence for the UK since 1972[J]. Applied Economics,1991,23:1535-1541
[163]Enders W, Granger, C.WJ. Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates [J]. Journal of Business and Economic Statistics, 1998,16:304-321
[164]Frey G., Manera M. Econometric models of asymmetric price transmission [J]. Journal of Economic Surveys,2007,21:259-325
[165]Harper B. K. G. A. D. C. Price Transmission, Threshold Behavior, and Asymmetric Adjustment in the U.S.Pork Sector [J]. Journal of Agricultural and Applied Economics,2000,32(3): 543-553
[166]Hassan D.Simioni M. Price linkage and transmission between shippers and retailers in the Frengh vegetable channel[R]. INRA,2001:621-235
[167]Grasso M., Manera M. Asymmetric error correction models for the oil gasoline price relationship [R]. Fondazione Eni Enrico Mettei,2005:362-374
[168]Chen L.-H., M. Finney, K.S. Lai. A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices [J]. Economics Letters,2005,89(2):233-239
[169]Esteve V. A note on nonlinear dynamics in the Spanish term structure of interest rates [J]. International Review of Economics & Finance,2006,15(3):316-323
[170]Esteve V., et al. Threshold cointegration and nonlinear adjustment between goods and services inflation in the United States [J]. Economic Modelling,2006,23(6):1033-1039
[171]Shin D.W., O. Lee. Asymmetry and nonstationarity for a seasonal time series model [J]. Journal of Econometrics,2007,136(1):89-114
[172]Grasso M., M. Manera. Asymmetric error correction models for the oil-gasoline price relationship [J].Energy Policy,2007,35(1):156-177
[173]Dibooglu S., S.N. AlGudhea. All time cheaters versus cheaters in distress:An examination of cheating and oil prices in OPEC [J]. Economic Systems,2007,31(3):292-310
[174]Cook S. A threshold cointegration test with increased power [J]. Mathematics and Computers in Simulation,2007.73(6):386-392
[175]Al-Gudhea S., T. Kenc, S. Dibooglu. Do retail gasoline prices rise more readily than they fall? A threshold cointegration approach [J]. Journal of Economics and Business,2007,59(6): 560-574
[176]Chen M.-H. Interactions between business conditions and financial performance of tourism firms:Evidence from China and Taiwan [J]. Tourism Management,2007,28(1):188-203
[177]Choi J.J., B.N. Jeon. Financial factors in foreign direct investments:A dynamic analysis of international data [J]. Research in International Business and Finance,2007,21(1):1-18
[178]Diamandis P. F., G. P. Kouretas, L. Zarangas. Dual foreign currency markets and the role of expectations:Evidence from the Pacific Basin countries [J]. Research in International Business and Finance,2007,21(2):238-259
[179]Giot P., M. Petitjean. The information content of the Bond-Equity Yield Ratio:Better than a random walk? [J]. International Journal of Forecasting,2007,23(2):289-305
[180]Zheng Y., T. Zheng, Y. Zixia. Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap [J]. Mathematics and Computers in Simulation, 2008.78(4):507-513
[181]Sergio K.J. Tests for the hysteresis hypothesis in Brazilian industrialized exports:A threshold cointegration analysis [J]. Economic Modelling,2008,25(2):171-190
[182]Jin-Li H., L. Cheng-Hsun. Disaggregated energy consumption and GDP in Taiwan:A threshold co-integration analysis [J]. Energy Economics,2008.30(5):2342-2358.
[183]Aggarwal R., W. Simmons. Common stocastic trends among Caribbean currencies:Evidence from Guyana, Jamaica, and Trinidad and Tobago [J]. Journal of Economics and Business, 2008,60(3):277-289
[184]Christoffersen P., et al. Option valuation with long-run and short-run volatility components [J].Journal of Financial Economics,2008,90(3):272-297
[185]Jacobsen B.J., X. Liu. China's segmented stock market:An application of the conditional international capital asset pricing model [J]. Emerging Markets Review,2008,9(3):153-173
[186]Lee C.-C., C.-P. Chang. Tourism development and economic growth:A closer look at panels [J].Tourism Management,2008,29(1):180-192
[187]Narayan P.K., S. Narayan. Testing for capital mobility:New evidence from a panel of G7 countries [J]. Research in International Business and Finance,2008,24(1):15-23
[188]Ouerfelli C. Co-integration analysis of quarterly European tourism demand in Tunisia [J].Tourism Management,2008,29(1):127-137
[189]Smith K. L., P. E. Swanson. The dynamics among G7 government bond and equity markets and the implications for international capital market diversification [J]. Research in International Business and Finance,2008,22(2):222-245
[190]Uz I., N. Ketenci. Panel analysis of the monetary approach to exchange rates:Evidence from ten new EU members and Turkey [J].Emerging Markets Review,2008,9(1):57-69
[191]Bhattacharya P.S., D.D. Thomakos. Forecasting industry-level CPI and PPI inflation:Does exchange rate pass-through matter?[J]. International Journal of Forecasting,2008,24(1): 134-150
[192]Bonham C., B. Gangnes, T. Zhou. Modeling tourism:A fully identified VECM approach [J].International Journal of Forecasting,2009,25(3):531-549
[193]Chang Y.-H., Y.-W. Chang. Air cargo expansion and economic growth:Finding the empirical link [J]. Journal of Air Transport Management,2009,15(5):264-265
[194]Katircioglu S. T., Revisiting the tourism-led-growth hypothesis for Turkey using the bounds test and Johansen approach for cointegration [J]. Tourism Management,2009,30(1):17-20
[195]Morana C. On the macroeconomic causes of exchange rate volatility [J]. International Journal of Forecasting,2009,25(2):328-350
[196]Santoro E., E. Gaffeo. Business failures, macroeconomic risk and the effect of recessions on long-run growth:A panel cointegration approach [J]. Journal of Economics and Business, 2009,61(6):435-452
[197]Tang C.-H., S. Jang. The tourism-economy causality in the United States:A sub-industry level examination [J]. Tourism Management,2009,30(4):553-558
[198]Vo X. V. International financial integration in Asian bond markets [J]. Research in International Business and Finance,2009,23(1):90-106
[199]Guidolin M., et al. Non-linear predictability in stock and bond returns:When and where is it exploitable? [J]. International Journal of Forecasting,2009,25(2):373-399
[200]Lahiani A., O. Scaillet. Testing for threshold effect in ARFIMA models:Application to US unemployment rate data [J]. International Journal of Forecasting,2009,25(2):418-428
[201]Azzam A. M. Asymmetry and rigidity in farm-retail price transmission [J]. American Journal of Agricultural Economics,1999,59:570-572
[202]Ward R.W. Asymmetry in Retail, Wholesale, and Shipping Price Point Pricing for Fresh Vegetables [J]. American Journal of Agricultural Economics,1982,64:205-212
[203]Peltzman S. Prices rise faster than they fall [J]. The Journal of Political Economy,2000, 108:466-502
[204]Kinnucan H. W., Forker O. D. Asymmetry in farm retail price transmission for major dairy products [J]. American Journal of Agricultural Economics,1987,69:285-292
[205]Brorsen B.W, J.-P. Chavas, W.R. Grant, L.D. Schnake. Marketing Margins and Price Uncertainty:The Case of the US Wheat Market [J]. American Journal of Agricultural Economics,1985,67:521-528
[206]Obstfeld M., A.M. Taylor. Nonlinear aspects of goods-market arbitrage and adjustment: Heckscher's commodity points revisited [J]. Journal of the Japanese and International Economies,1997,11:441-479
[207]Berben R.-P., D. van Dijk. Nonlinear Adjustment to Purchasing Power Parity:Evidence on the Effects of Transactions Costs [R]. Tinbergen Institute, Erasmus University Rotterdam,1998: 245-266
[208]Lo M., Zivot E. Threshold cointegration and nonlinear adjustment to the law of one price [J]. Macroeconomic Dynamics,2001,5:533-576
[209]Gonzales F., Guillotreau P., LeGrel L., Simioni M. Asymmetry of price transmission within the French value chain of seafood products[R]. INRA Working Paper,2003:344-356
[210]孙清华,张喜斌,张世英.非线性协整关系的存在性研究[J].管理科学学报,2000,3(2)：65-74
[211]程细玉,张世英.向量分整序列的非线性协整研究[J].系统工程理论方法应用,2001,1：85-88
[212]柯珂,张世英.Arch模型的诊断分析[J].管理科学学报,2001,2：12-18
[213]刘印旭,张世英.基于门限协整系统的预测方法研究[J].数量经济技术经济研究,2005,8：129-136
[214]李松臣,张世英.多元变结构门限Garch模型的伪协同持续性研究[J].系统工程理论与实践,2007,10：71-76,92
[215]潘婉彬,陶利斌,缪柏其.利率期限结构模型非线性建模[J].中国管理科学,2008,16(5)：17-21
[216]王军波,邓述慧.中国利率政策和证券市场的关系的分析[J].系统工程理论与实践,1999,19(08)：35-40
[217]魏巍贤.人民币汇率的稳定机制及其动态过程(Ⅱ)——实证分析.系统工程理论与实践,1999,19(08)：52-58
[218]张世英,李汉东,等.金融风险的持续性及其规避策略[J].系统工程理论与实践,2002,22(05)：31-36
[219]刘伟,胡兵,等.财政赤字、实际有效汇率与贸易收支——基于中国数据的实证检验[J].管理世界,2007,04：38-46
[220]杨建辉,潘虹.国际原油价格、人民币实际汇率与中国宏观经济研究[J].系统工程理论与实践,2008,28(01)：25-32
[221]钱行.通货膨胀国际间传导对我国影响的实证检验[J].数量经济技术经济研究,2006,23(11)：113-123
[222]陈学胜,周爱民.交叉上市股票价格发现及贡献差异的横截面分析[J].中国管理科学,2009,17(02)：21-28
[223]刘金全,隋建利,李楠.基于非线性VAR模型对我国货币政策非对称作用效应的实证检验[J].中国管理科学,2009,03：47-55
[224]毕玉江.人民币汇率变动对中国进口商品价格的传递效应——基于VECM的实证研究[J].数量经济技术经济研究,2008,25(08)：70-82
[225]杨海珍,李银华,赵艳平,李京.金融风暴下国际资本流动态势及其对中国宏观经济的影响[J].管理评论,2009,21(2)：40-45,67
[226]蒋翠侠,张世英.多元广义自回归条件密度建模及应用[J].管理科学学报,2009,01：82-92
[227]刘向丽,成思危,汪寿阳,洪永淼.期现货市场间信息溢出效应研究[J].管理科学学报,2008,11(03)：125-139
[228]李亚明,佟仁城.中国房地产财富效应的协整分析和误差修正模型[J].系统工程理论与实践,2007,27(11)：18-26
[229]马超群,余升翔,陈彦玲,王振全.中国上海燃料油期货市场信息溢出研究[J].管理科学学报,2009,03：92-101
[230]焦建玲,范英,魏一鸣.基于VECM的汽柴油价格不对称性分析[J].中国管理科学,2006, 14(03)：97-102
[231]丁晨,屠梅曾.论房价在货币政策传导机制中的作用——基于VECM分析[J].数量经济技术经济研究,2007,24(11)：106-114,132
[232]陈建军,胡晨光.产业集聚的集聚效应——以长江三角洲次区域为例的理论和实证分析[J].管理世界,2008,06：68-83
[233]王德章,宋德军.中国流通业创新与城市经济发展[J].中国软科学,2007,05：125-129,153
[234]李柏洲,朱晓霞.区域创新系统(RIS)创新驱动力研究[J].中国软科学,2007,08：93-99
[235]李金昌,窦雪霞.经济转型时期中国农村居民消费与收入关系变迁实证分析[J].中国农村经济,2007,07：45-52
[236]徐桂民,綦建红,鞠磊.劳动力外移、国际贸易与产业结构调整——基于1984-2004年中国数据的协整分析与格兰杰因果检验[J].中国工业经济,2007,07;31-37
[237]吴先华,郭际.影响我国汽车产业竞争力的因素分析：一个UECM模型[J].系统工程理论与实践,2007,27(03)：60-66
[238]孙燕.经济转型时期我国城镇居民消费与收入的长期均衡关系[J].系统工程,2007,25(04)：110-113
[239]柳思维,吴忠才.中国旅游业与经济增长关系的实证研究[J].系统工程,2007,25(09)：60-64
[240]李中才,王广成,娄美珍.中国生态足迹与经济增长的协整、误差修正模型及预测[J].系统工程,2007,25(08)：63-67
[241]张嫘,方天堃.我国城乡收入差距变化与经济增长的协整及因果关系分析[J].农业技术经济,2007,03：38-43
[242]许治,周寄中.政府公共R&D与中国经济增长——基于协整的实证分析[J].科研管理,2007,28(04)：60-66
[243]张超.经济体制转型与人力资本积累关系的实证分析[J].经济研究,2007,12：42-48
[244]李廉水,周彩红.区域分工与中国制造业发展——基于长三角协整检验与脉冲响应函数的实证分析[J].管理世界,2007,10：36-42
[245]王火根,龙建辉.能源消费与经济增长非线性关系分析：基于门限协整系统[J].技术经济与管理研究,2008,04：94-97
[246]朱恒源,刘广,吴贵生.城乡二元结构对产品扩散的影响研究：以彩电采用为例[J].管理世界,2006,04：66-72
[247]李季,王汉生,涂平.对于尝试-重购新产品扩散模型的改进：logit模型及NILS估计[J].中国管理科学,2008,16(06)：105-111
[248]Bradley Efron. Bootstrap Methods:Another Look at the Jackknife [J]. The Annals of Statistics, 1979,7(1):1-26
[249]Lloyd T., McCorriston S., Morgan, W. How do markets respond to food scares? [R], Discussion Papers in Economics. University of Nottingham,2003, No.03/18:336-342
[250]Nicholas E. Piggott, Thomas L. Marsh. Does Food Safety Information Impact U.S. Meat Demand&quest [J]. American Journal of Agricultural Economics,2004,86(1):154-174
[251]Saghaian, et al. Dynamics of Price Transmission in the Presence of a Major Food Safety Shock: Impact of H5N1 Avian Influenza on the Turkish Poultry Sector [J]. Journal of Agricultural and Applied Economics.2008,40(3):1015-1031
[252]魏来,陈宏.绿色农产品电子商务平台对于供应链垂直协作体系的影响研究[J].软科学,2007,21(5)：68-71
[253]魏来,陈宏,刘晓林.以农业综合型企业为核心的绿色农产品供应链研究[C].农产品供应链管理与农业产业化经营：理论与实践(2006年农产品供应链管理与农业产业化经营国际研讨会论文集),2007：127-131
[254]Lai Wei, Hong Chen, Jie Zhang. A Framework for Designing E-Commerce Platform of New Agricultural Products for Services [C].2008 International Symposium on Knowledge Acquisition and Modeling,2008:345-349
[255]Lai WEI, Hong CHEN, Jie ZHANG, Wenlin CHEN. The Supply Chain Coordination in Seller Centric B2B e-Commerce Platform of Perishable Products [J]. Journal of Computational Information Systems,2009,5(3):255-263
[256]Webster S., Weng Z. K. A risk-free perishable item returns policy [J]. Manufacturing & Service Operations Management,2000,2:100-106
[257]Spengler J.J. Vertical integration and antitrust policy [J]. Journal of Political Economy,1950, 58:347-352
[258]Tsay A. Managing retailer channel overstock:markdown money and return policies [J]. Journal of retailing,2001,77:457-492
[259]Lai Wei, Hong Chen. Emergent Management for Consumable Industry Chains after Natural Disasters [C].2009ICMeCG, 2009:301-305
[260]J.Fiksel.Sustainability and resilience:toward a systems approach [J]. Sustainability Science, Practice and Policy,2006,2(2):14-21
[261]C. Brindley. Supply Chain Risk [M]. Ashgate Publishing, Aldershot, United Kingdom, 2004:411-423
[262]Y. Sheffi, J. B. Rice. A supply chain view of the resilient enterprise [J]. MIT Sloan Management Review,2005,47(1):41-48
[263]L. V. Snyder, M. P. Scaparra, M. S. Daskin, R. L. Church. Planning for disruptions in supply chain networks. In:Greenber, H. (Ed.), Forthcoming in Tutorials in Operations Research[R]. INFORMS, Baltimore, MD.2006:563-574
[264]A. M. Knemeyer. Proactive planning for catastrophic events in supply chains[R]. J Operations Manage,2008, doi:10.1016/j.jom.2008.06.002
[265]M. A. Cohen, H. Kunreuther.Operations risk management:overview of Paul Kleindorfer's contributions [J]. Production and Operations Management,2007,16(5):525-541
[266]T. Wu, J. Blackhurst, P. O'Grady. Methodology for supply chain disruption analysis [J]. International Journal of Production Research,2007,45(7):1665-1682
[267]J. Hallikas, I. Karvonen, U. Pulkkinen,V. Virolainen, M.Tuominen.Risk management processes in supplier networks [J]. International Journal of Production Economics,2004,90(1):47-58