政府监管下的电商大数据“杀熟”演化仿真分析
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湖南省自然科学基金资助项目(2018JJ3131);湖南省社会成果评审委员会课题基金资助项目(XSP20YBC389); 湖南省哲学社会科学基金资助项目(17YBA127);湖南省教育厅基金资助重点项目(18A172)


An Evolution Simulation Analysis of E-Commerce Big Data-Based Price Discrimination Under Government Supervision
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    摘要:

    电商企业利用大数据“杀熟”的现象频生,政府作为市场监管主体对其治理起着举足轻重的作用。为探究政府在大数据“杀熟”问题中监管策略的抉择及影响,通过构建由电商企业与政府组成的演化博弈模型,研究了双方的演化稳定策略。研究结果表明:政府进行严格监管比进行宽松监管多获得的效益小于多付出的成本时,演化稳定策略为宽松监管,反之则无演化稳定策略;长期的严格监管能够抑制电商大数据“杀熟”行为,但也需长期耗用政府资金,建议政府设立专门款项用于此项支出;政府行使“严格监管”策略的初始意愿越强烈,电商企业演化到大数据“杀熟”策略的速度越慢。

    Abstract:

    Big data-based price discrimination, as a social phenomenon, has found its social expression more and more frequently. The government, as the main body of market supervision, plays an important role in the governance of this practice. In view of an exploration of the selection and influence of the government’s regulatory strategy in this kind of price discrimination, a research has been conducted on the evolutionary stability strategy of both e-commerce company and government by constructing an evolutionary game model. Research shows that, with the benefits obtained by the government less than the cost, the evolutionary stability strategy tend to be a loose supervision, otherwise, there is no evolutionary stability strategy; long-term strict regulation can inhibit e-commerce enterprise’s big data-based price discrimination behavior, but it also requires long-term consumption of government funds, therefore it is suggested that the government should set up special funds for this expenditure; the stronger the initial willingness of government to implement the strict supervision strategy, the slower the strategy will evolve into a big data-based price discrimination.

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邢根上,鲁 芳,罗定提.政府监管下的电商大数据“杀熟”演化仿真分析[J].湖南工业大学学报,2021,35(2):65-72.

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  • 收稿日期:2020-07-05
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  • 在线发布日期: 2021-01-30
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