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首页> 外文期刊>Technological forecasting and social change >Optimal patent length and breadth in an R&D driven market with evolving consumer preferences: An evolutionary multi-agent based modeling approach
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Optimal patent length and breadth in an R&D driven market with evolving consumer preferences: An evolutionary multi-agent based modeling approach

机译：不断变化的消费者喜好在研发驱动的市场中实现最佳专利长度和广度：一种基于多主体的进化建模方法

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摘要

The aims of this paper are twofold. The first is to analyze the interaction between R&D activities of firms and heterogeneous consumer preferences in structuring the evolution of an industry. The second is to explore the effects of patent length and breadth on market outcomes. To answer these research questions, an evolutionary, multi agent based, sector-level cumulative innovation model is designed. The model addresses supply and demand side of the market simultaneously with the coevolution of heterogeneous consumer preferences, heterogeneous firm knowledge bases and technology levels at the micro level. Firms compete on quality and price of their products in an oligopolistic market whereas consumers, constrained by their computational limits, act to maximize their utility with their product choices in a boundedly rational way. There is continuous firm entry and exit depending on the competitive performance of the firms. The simulation analysis concludes that patent length has a continuous effect on market outcomes whereas patent breadth has a discontinuous effect and the optimum patent policy is a 'mild' one with broad patents for a limited period of time to maximize technological progress and total welfare. (C) 2017 Elsevier Inc. All rights reserved.
机译：本文的目的是双重的。首先是分析企业的R＆D活动与异质消费者偏好之间的相互作用，以构建行业发展。第二个是探索专利期限和广度对市场成果的影响。为了回答这些研究问题，设计了基于进化，基于多主体的部门级累积创新模型。该模型同时解决了消费者异质消费者偏好，企业异质知识库和微观技术水平的协同演化问题。企业在寡头市场上就其产品的质量和价格进行竞争，而消费者则受到其计算限制的约束，以有限理性的方式通过其产品选择来发挥其效用最大化。取决于公司的竞争表现，公司会不断进出。模拟分析得出的结论是，专利长度对市场结果具有连续影响，而专利宽度则具有不连续影响，最佳专利政策是在有限的时间内拥有广泛专利的“温和”政策，以最大程度地提高技术进步和整体福利。 （C）2017 Elsevier Inc.保留所有权利。

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  • 来源
    《Technological forecasting and social change》 |2017年第5期|94-106|共13页
  • 作者

    Cevikarslan Salih;

  • 作者单位

    Univ Twente, Fac Engn Technol, Dept Design Prod & Management, Enschede, Netherlands|United Nations Univ UNU MERIT, Maastricht Econ & Social Res & Training Ctr Innov, Maastricht, Netherlands|Maastricht Univ, Sch Business & Econ, Maastricht, Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Patent; Industrial dynamics; Agent-based modeling;

    机译：专利;工业动力学;基于代理的建模;

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