从产品的可拆卸性设计理论(DFD,Design for Disassembly)及消费者选择偏好理论出发,在消费者对新产品和再制造产品存在异质性偏好的背景下构建了再制造系统利润最大化的两周期带约束生产-定价联合决策模型,探讨了再制造受回收数量约束...从产品的可拆卸性设计理论(DFD,Design for Disassembly)及消费者选择偏好理论出发,在消费者对新产品和再制造产品存在异质性偏好的背景下构建了再制造系统利润最大化的两周期带约束生产-定价联合决策模型,探讨了再制造受回收数量约束与不受约束两种情形下系统的最优生产及定价策略,并全面分析了模型中关键参数(消费者偏好、再制造成本节约、产品的可拆卸程度等)变化对均衡价格、产量、系统成员利润和再制造商市场进入决策的影响。研究结果表明:对于制造商来说,考虑产品的可拆卸性战略始终是占优策略,并且在一定的条件下能够有效地阻止再制造商的进入。展开更多
This paper aims to contribute to the literature on the explanatory power of behavior models with heterogeneous agents. The authors present a new nonlinear structural stock market model which is a nonlinear determinist...This paper aims to contribute to the literature on the explanatory power of behavior models with heterogeneous agents. The authors present a new nonlinear structural stock market model which is a nonlinear deterministic process buffeted by dynamic noise. An exogenous noise is introduced to the model with the assumption of IID normal innovations of the fundamental value in order to investigate how noisy dynamics interacts with deterministic process. The market is composed of two typical trader types： the rational fundamentalists and the boundedly rational traders governed by greed and fear. The interaction between noise and deterministic element determines the evolution process of the system as key parameters are changed. The authors find the model is able to generate time series that exhibit dynamical and statistical properties closely resembling those of the S＆：P500 index, such as volatility clustering, fat tails （leptokurtosis）, autocorrelation in square and absolute return, larger amplitude, crashes and bubbles. The authors also investigate the nonlinear dependence structure in our data. The results indicate that the GARCH-type model cannot completely account for all nonlinearity in our simulated market, which is thus consistent with the results from real markets. It seems that the nonlinear structural model is more powerful to give a satisfied explanation to market behavior than the traditional stochastic approach.展开更多
文摘从产品的可拆卸性设计理论(DFD,Design for Disassembly)及消费者选择偏好理论出发,在消费者对新产品和再制造产品存在异质性偏好的背景下构建了再制造系统利润最大化的两周期带约束生产-定价联合决策模型,探讨了再制造受回收数量约束与不受约束两种情形下系统的最优生产及定价策略,并全面分析了模型中关键参数(消费者偏好、再制造成本节约、产品的可拆卸程度等)变化对均衡价格、产量、系统成员利润和再制造商市场进入决策的影响。研究结果表明:对于制造商来说,考虑产品的可拆卸性战略始终是占优策略,并且在一定的条件下能够有效地阻止再制造商的进入。
基金This research is supported by MEXT Global COE Program （Kyoto University）, National Natural Science Foundation of China under Grant No.71001036 and No. 71171186, Main Direction Program of Chinese Academy of Sciences KACX1-YW-0906, and the Scientific Research Fund of Hunan Provincial Education Department under Grant No. 10A082.
文摘This paper aims to contribute to the literature on the explanatory power of behavior models with heterogeneous agents. The authors present a new nonlinear structural stock market model which is a nonlinear deterministic process buffeted by dynamic noise. An exogenous noise is introduced to the model with the assumption of IID normal innovations of the fundamental value in order to investigate how noisy dynamics interacts with deterministic process. The market is composed of two typical trader types： the rational fundamentalists and the boundedly rational traders governed by greed and fear. The interaction between noise and deterministic element determines the evolution process of the system as key parameters are changed. The authors find the model is able to generate time series that exhibit dynamical and statistical properties closely resembling those of the S＆：P500 index, such as volatility clustering, fat tails （leptokurtosis）, autocorrelation in square and absolute return, larger amplitude, crashes and bubbles. The authors also investigate the nonlinear dependence structure in our data. The results indicate that the GARCH-type model cannot completely account for all nonlinearity in our simulated market, which is thus consistent with the results from real markets. It seems that the nonlinear structural model is more powerful to give a satisfied explanation to market behavior than the traditional stochastic approach.
