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The Calculating Model and Empirical Analysis of Science Technology Productivity and Its Leading GDP's Fluctuating Cycle

机译:科技生产力的计算模型及其领先地GDP波动周期的模型及实证分析

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Aiming at the shortcomings of studying on Science & Technology productivity that only limited to qualitative analysis in academia for a long time, the author, by applying the control theory, constructs a productivity control system for country and region, which involves various production factors as the input and the contribution made by science & technology to GDP (science & technology GDP for short, the same as below) as the output. Furthermore, based on the control system, science & technology productivity which is completely determined by science & technology GDP, quite similar to kinetic energy form in physics, is testified under the condition that system controller R{sub}t takes some special relation. Therefore, calculating model of science & technology productive forces has been given. Using this model, the author has calculated the science & technology productivities in China and America respectively and also calculated the two nation's fluctuating cycle concerning how long the science & technology productivity precedes GDP through Grey Relation Analysis Model. Finally, it's approved that the leading GDP of science & technology productivity has a shorter cycle with the development of science & technology, and America witnesses a shorter cycle than our China does at one time. All those are to be used to verify a fact that science & technology productivity, on an inverse proportion to science & technology level, boosts economic growth.
机译:旨在研究科技生产力研究的缺点,只有在长期以来只限于学术界的定性分析,通过应用控制理论,构建了国家和地区的生产力控制系统,涉及各种生产因素科技对GDP的投入和贡献(科学与技术GDP短,与以下相同)。此外,根据科技GDP完全决定的控制系统,科学技术生产力与物理学中的动能形式非常相似,在系统控制器R {SUB} T采用一些特殊关系的情况下作证。因此,给出了科技生产力的计算模型。使用此模型,作者分别计算了中国和美国的科技产品,并计算了通过灰色关系分析模型的科技生产力之前多久的两个国家的波动周期。最后,批准了,科技生产力的领先国内生产总值具有较短的循环,随着科学技术的发展,美国目睹了比我们在一次的循环较短的周期。所有这些都将用于验证科学技术生产力的事实,以与科学技术水平相反,提高了经济增长。

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