Abstract：With the general consideration of the impact of such factors as the consumers’ expectation, the retailer’s recovery service, regional differences on the expected salvage value of waste household appliance, this paper establishes a complex dynamic model based on the consumers’ utility maximization, and investigates the influence of the acceptance degree to network recovery channel on the recovery channel profits and the system stability. It is found that as the acceptance degree to network recovery channel increases, the profits will firstly decrease to a minimum and then increase, while the stability of the recovery system will gradually decrease. Furthermore, the paper analyzes the reason and gives the solution, providing practical guidance for the policy-making in household appliance recovery market with multiple recovery modes.
谢磊, 马军海. 中国废旧家电回收市场稳定性及其应用研究[J]. 复杂系统与复杂性科学, 2015, 12(3): 96-109.
XIE Lei, MA Junhai. The Stability and Application Analysis on the Home Appliance Recycling Market in China[J]. Complex Systems and Complexity Science, 2015, 12(3): 96-109.
[1] Shih L. Reverse logistics system planning for recycling electrical appliances and computers in Taiwan[J]. Resources, Conservation and Recycling, 2001, 32(1): 55-72. [2] Lee J, Song H T, Yoo J. Present status of the recycling of waste electrical and electronic equipment in Korea[J]. Resources, Conservation and Recycling, 2007, 50(4): 380-397. [3] Hainault T, Smith D S, Cauchi D J, et al. Minnesota's multi-stakeholder approach to managing electronic products at end-of-life[C]//8th Annual IEEE International Symposium on Electronics and the Environment, San Francisco, CA, 2000: 310-317. [4] Kang H, Schoenung J M. Electronic waste recycling: a review of US infrastructure and technology options[J]. Resources, Conservation and Recycling, 2005, 45(4): 368-400. [5] Kang H Y, Schoenung J M. Used consumer electronics: a comparative analysis of materials recycling technologies[C]//IEEE International on Electronics and the Environment, Scottsdale, AZ, 2004: 226-230. [6] 陈国兵. 政府与企业在废旧家电逆向物流的博弈分析[D]. 北京:北京交通大学, 2010. Chen Guobing. Game analysis for reverse logistics of waste household appliance between government and enterprise[D]. Beijing: Beijing Jiaotong University, 2010 [7] 罗乐娟,竺宏亮. 废旧家电逆向物流的激励机制研究[J]. 物流技术, 2004(11): 72-74. Luo Lejuan, Zhu Hongliang. Motivation mechanism of reverse logistics of discarded and used family appliance[J]. Logistics Technology, 2004, (11): 72-74. [8] Ma J, Zhang J. Price game and chaos control among three oligarchs with different rationalities in property insurance market[J]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2012, 22(4): 43120. [9] Sun Z, Ma J. Complexity of triopoly price game in Chinese cold rolled steel market[J]. Nonlinear Dynamics, 2012, 67(3): 2001-2008. [10] Wang H W, Ma J H. Complexity analysis of a cournot-bertrand duopoly game model with limited information[J]. Discrete Dynamics in Nature and Society, 2013:287371. [11] Guo Y, Ma J. Research on game model and complexity of retailer collecting and selling in closed-loop supply chain[J]. Applied Mathematical Modelling, 2013, 37(7): 5047-5058. [12] Chiang W K, Chhajed D, Hess J D. Direct marketing, indirect profits: a strategic analysis of dual-channel supply-chain design[J]. Management Science, 2003, 49(1): 1-20. [13] Tsay A A, Agrawal N. Channel dynamics under price and service competition[J]. Manufacturing & Service Operations Management, 2000, 2(4): 372-391. [14] 孔令云,樊养余. 混沌运动对初值敏感依赖的本质原因[J]. 计算机工程与应用, 2009(32): 1-4. Kong Lingyun, Fan Yangyu. The essential reason of sensitive dependence on initial value of chaotic motion[J]. Computer Engineering and Applications, 2009(32): 1-4. [15] Elabbasy E M, Agiza H N, Elsadany A A. Analysis of nonlinear triopoly game with heterogeneous players[J]. Computers & Mathematics with Applications, 2009, 57(3): 488-499.
