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信息反馈机制和市场在生态创新扩散渗透模型中的主导地位

Information feedback mechanism and market dominance in a percolation model of eco-innovation diffusion
课程网址: http://videolectures.net/ephdcs08_cantono_ifmamdiapm/  
主讲教师: Simona Cantono
开课单位: 都灵大学
开课时间: 2008-10-15
课程语种: 英语
中文简介:
新技术往往在进入市场时处于竞争劣势。虽然它们似乎承诺未来的优势,如更低的成本、环保性或更高的性能,但最初它们可能比现有的技术昂贵得多,或者面临一些初期问题。新技术的采用也可能受到消费者对其性能的不确定性的影响。在这样的环境下,信息反馈可能会出现,并可能使某项技术成为市场上的主导技术。利用最新的扩散渗流模型,结合分布在网络上的介质的传染特性,结合介质特性的异质性,建立了一个复杂的新技术扩散动力学模型。通过使用多项决策机制对每一个采用者在一组新的可用技术上的选择进行建模,我们展示了信息反馈对市场主导地位的影响。利用基于代理的模拟,我们探讨了当有限补贴政策与价格的幂律学习曲线(作为采用者累积数量的函数)相结合时,是否能够触发某项技术的自我持续扩散。
课程简介: New technologies often enter the market at a competitive disadvantage. While they may seem to promise future advantages such as lower costs, environmental friendliness, or higher performance, initially they may be significantly more expensive than incumbent technologies or face teething problems. The adoption of a new technology may also be affected by consumers’ uncertainty on its performance. In such an environment, information feedbacks are likely to arise and could allow a certain technology to be the dominant one in the market. Drawing on recent percolation models of diffusion that combine the contagion aspect of agents distributed on a network, with the heterogeneity of agent characteristics, we develop a complex-dynamics model of new technology diffusion. By using a multinomial decision mechanism to model each adopter’s choice on a portfolio of new available technologies we show the effect of information feedbacks on market dominance. Using agent-based simulations we explore when a limited subsidy policy, combined with a power-law learning curve for the price as a function of the cumulative number of adopters, can trigger a self-sustained diffusion of a certain technology.
关 键 词: 信息反馈; 生态创新; 技术开发
课程来源: 视频讲座网
最后编审: 2019-12-05:lxf
阅读次数: 50