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Role of measurement in determining science and technology policy

机译:测量在确定科学和技术政策中的作用

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The United States clearly needs an explicit policy toward research and development for high technology products and manufacturing processes. Gomory & Schmitt (1988) and Cohen & Zysman (1988) present qualitative arguments that this is so. Our research into the technology of semiconductors, computers, and telecommunication equipment (Norsworthy and Jang, 1992) provides concrete quantitative evidence as well. The costs of research and development and early manufacturing experience coupled with the nearly costless diffusion of the results of these activities, create special economic circumstances in most high technology industries. These circumstances are more complex than economies of scale, but equally powerful in their implications for market behavior. Like economies of scale, these circumstances will favor those organizations and countries whose competitive strategies acknowledge their existence, and most successfully exploit their effects. They involve aspects not only of scale economies, but of public goods, learning curves, the time value of information, and the after tax cost of capital. In this essay we attempt to describe the phenomena and illustrate them by reference to the semiconductor and related industries. It is generally understood that the benefits of research are difficult to capture by the company or industry that undertakes the research; the more basic the research, the more difficult it will generally be for the sponsoring agency to capture its benefits. Therefore, profit- seeking enterprises under conditions of competition will generally undertake less research than would be optimal from the point of view of society as a whole. A number of studies, confirm this general proposition (Griliches, 1987; Mansfield et al., 1982). Their estimates of the overall rate of return to R&D to the whole society is far above the return to private investment in general. These facts have been recognized in federal government policies that encourage research through the National Science Foundation, the National Institutes of Health, the R&D tax credit, and so forth.
机译:美国明确需要明确的研究和开发高科技产品和制造流程的政策。 Gomory&Schmitt(1988)和Cohen&Zysman(1988)就是这样的定性论点。我们对半导体,计算机和电信设备技术(Norsworthy和Jang,1992)的研究也提供了具体的定量证据。研究和开发和早期制造经验的成本加上了这些活动结果的几乎无成本扩散,在大多数高科技产业中创造了特殊的经济环境。这些情况比规模经济更复杂,但在对市场行为的影响中同样强大。如规模经济,这些情况将有利于这些组织和竞争战略承认其存在,最成功利用它们的影响。它们不仅涉及规模经济,而且涉及公共物品,学习曲线,信息时间价值以及资本税收成本的方面。在本文中,我们试图描述该现象并通过引用半导体和相关行业来说明它们。人们普遍理解,通过承担研究的公司或行业难以捕捉研究的好处;研究越基础,越难为赞助机构捕获其利益越大。因此,在竞争条件下的利润企业通常会较少的研究,而不是从社会的角度来到整体上的最佳选择。一些研究,确认这一普遍主张(格里奇,1987年; Mansfield等,1982)。他们对整个社会的整体回报率的估计远远高于返回私人投资。这些事实已在联邦政府政策中确认,鼓励通过国家科学基金会,国家卫生研究院,研发税收抵免等研究。

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