主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
Articles

Evolution Game of Consumer Purchasing Behavior on Different Displacement Vehicles

Expand
  • 1. School of Management, Xi'an Jiaotong University, Xi'an 710049, China) (;
    2. School of Management, Lanzhou University, Lanzhou 730000, China

Received date: 2013-05-08

  Revised date: 2014-01-21

  Online published: 2015-08-19

Abstract

The automotive industry is an important source of China's energy consumption and pollutant emissions, and is the focus of the work of energy saving and emission reduction, and the government adjusted auto consumption policy to encourage and guide automotive consumer s' buying behavior. In this context, according to the game between the situations in China's auto consumption market consumer buying behavior of different cars and government consumption policies, an evolutionary game model of consumer purchase behavior for different displacement cars is constructed, and the evolution problem of the evenly mixed consumer group's different displacement automobile behavior is analyzed in the case of single automobile brand. Studies have shown that: in the combined effect of oil prices, consumer utility, consumer policy and car costs, consumer buying behavior exists to the three specific evolution cases of the evolution to the small displacement evolution, random evolution and the evolution to the large displacement. Then the evolution characteristics of consumer buying behavior are analyzed in the particular case of the Volkswagen Magotan car in the current circumstances. When the operational costs for lower oil price is not enough to become an obstacle to the car consumers to buy cars behavior capacity factors, or the utility consumption difference is higher, the government should increase the intensity of consumption policies to guide consumers to purchase low-emission cars; when the oil price is on the higher level, the government can gradually relax implementation auto consumption policy. The theoretical support is provided for the government to guide automotive consumers' scientific and reasonable energy-saving buying behavior.

Cite this article

ZHANG Guo-xing, CHENG Su-jie, WANG Ying-luo . Evolution Game of Consumer Purchasing Behavior on Different Displacement Vehicles[J]. Chinese Journal of Management Science, 2015 , 23(8) : 148 -157 . DOI: 10.16381/j.cnki.issn1003-207x.2015.08.017

References

[1] 张毅,夏炎.工业化过程中碳排放消费建设比的演变规律研究[J].中国管理科学,2012,20(2):159-166.

[2] 王建明.公众资源节约与环境保护消费行为测度——外部表现、内在动因和分类维度[J]. 中国人口·资源与环境,2010,20(6):141-146.

[3] 张连刚.基于多群组结构方程模型视角的绿色购买行为影响因素分析——来自东部、中部、西部的数据[J].中国农村经济,2010,26(2):44-56.

[4] 王建明,贺爱忠.消费者低碳消费行为的心理归因和政策干预路径:一个基于扎根理论的探索性研究[J].南开管理评论,2011,14(4):80-89.

[5] Hickman R, Ashiru O, Banister D. Transport and Climate change: Simulating the options for carbon reduction in London[J]. Transport Policy,2010,17( 2): 110-125.

[6] Chan R Y K, Lau L B Y. Antecedents of green purchases: A survey in China[J]. Journal of Consumer Marketing, 2000, 17(4): 338-357.

[7] Nyborg K, Howarth R B, Brekke K A. Green consumers and public policy: On socially contingent moral motivation[J]. Resource and Energy Economics, 2006, 28(4): 351-366.

[8] 高红贵.中国绿色经济发展中的诸方博弈研究[J]. 中国人口·资源与环境,2012,22 (4):13-18.

[9] 金晓彤和杨晓东.中国城镇居民消费行为变异的四个假说及其理论分析[J].管理世界,2004,11:5-14(28).

[10] Smith J M, Price G R. The logic of animal conflict[J]. Naturem 1973,246(5427):15-18.

[11] Vincent T L, Brown J S. Evolutionary game theory, natural selection, and darwinian dynamics[M]. Cambridge:Cambridge University Press, 2005.

[12] Nowak M A, Sigmund K. Evolutionary dynamics of biological games [J]. Science, 2004, 303(5659):793-9.

[13] Röhl T, Röhl C, Schuster H G, et al. Impact of fraud on the mean-field dynamics of cooperative social systems[J]. Physical Review E, 2007, 76(3):62-85.

[14] Ohtsuki H, Hauert C, Lieberman E, et al. A Simple rule for the evolution of cooperation on graphs and social networks [J].Nature, 2006, 44(7092): 502-505.

[15] Nyborg K, Rege M. On social norms: The evolution of considerate smoking behavior [J]. Journal of Economic Behavior and Organization, 2003, 52(3): 323-340.

[16] Guttman J M. On the evolutionary stability of preferences for reciprocity[J]. European Journal of Political Economy, 2000, 16(1):31-51.

[17] 王维国,王霄凌.基于演化博弈的我国高能耗企业节能减排政策分析[J].财经问题研究,2012,(4):75-82.

[18] 郭本海,方志耕,刘卿.基于演化博弈的区域高耗能产业退出机制研究[J].中国管理科学,2012,20(4): 79-80.

[19] 朱庆华,窦一杰. 基于政府补贴分析的绿色供应链管理博弈模型[J].管理科学学报, 2011, 14(6):86-95.

[20] 黄凯男.演化博弈与演化经济学[J].经济研究,2009,(2):132-145.

[21] Buesser P, Tomassini M. Evolution of cooperation on spatially embedded networks[J]. Physical Review E, 2012, 86(5):345-362.

[22] Zhang Haifeng, Wu Zhixi, Xu Xiaoke, et al. Impacts of subsidy policies on vaccination decisions in contact networks[J]. Physical Review E, 2013, 88(1): 895-911.

[23] 王先甲,全吉,刘伟兵.有限理性下的演化博弈与合作机制研究[J].系统工程理论与实践,2011,31(1):82-93.
Outlines

/