交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (1): 13-19.

• 决策论坛 • 上一篇    下一篇

成本分担政策下新能源汽车租赁系统激励契约

经有国*,郭培强,秦开大   

  1. 昆明理工大 学管理与经济学院,昆明  650093
  • 收稿日期:2017-06-20 修回日期:2017-11-06 出版日期:2018-02-25 发布日期:2018-02-26
  • 作者简介:经有国(1981-),男,广西桂林人,副教授,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71461014, 71362025).

Incentive Contract for Green Car Rental System Based on Cost Sharing Policy

JING You-guo, GUO Pei-qiang, QIN Kai-da   

  1. Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China
  • Received:2017-06-20 Revised:2017-11-06 Online:2018-02-25 Published:2018-02-26

摘要:

在市场需求不确定且与推广努力水平相关的市场环境下,研究政府对新能源汽车 租赁企业提供成本分担政策的激励机制.探讨无政府激励政策,考虑政府环保效益的集中决 策,政府提供成本共担政策下的最优车队配置和推广努力水平,并对3 种情形下的最优决策进 行比较和分析.研究结果表明,在无政府激励政策情况下无法实现系统最优,通过引入成本共 担契约,当契约参数满足一定条件时,该契约模型不仅可以实现系统利益最大化而且可以使 系统成员达到帕累托改进.最后通过算例分析,探讨了成本共担系数对政府和新能源汽车租赁 企业收益的影响.

关键词: 城市交通, 激励契约, 成本共担, 新能源汽车租赁, 推广努力水平

Abstract:

The incentive mechanism of government's cost- sharing policy for green car rental companies is researched with the assumptions that the demand is uncertain and depended on the promotion efforts. The optimal decisions of fleet sizing and promotion effort level under the no government incentive policy, the centralized decision considering environmental benefits of government and the cost sharing policy provided by government are researched respectively, and a comparative analysis is carried out. The following results is attained: the system can't achieve system optimal under the no government incentive policy; the introduced combined contract of cost sharing can not only achieve system benefit maximization but also make the members of the system achieve Pareto improvement when the contract parameters satisfy certain conditions. Finally, the example analysis is employed to discuss the cost sharing coefficient’s influence on the government and the green car rental enterprise revenue.

Key words: urban traffic, incentive contract, cost sharing, green car rental, promotion effort level

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