知识经济背景下的经济增长研究

Intellectual Economics Pub Date : 2014-01-01 DOI:10.13165/IE-14-8-1-08

Olena Vinnychuk, Larysa Skrashchuk, Igor Vinnychuk

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引用次数: 7

摘要

本文分析了知识经济背景下经济增长的本质。选择能够描述知识经济各个组成部分的指标。以乌克兰、波兰、德国和立陶宛四国的统计数据为基础，研究了知识经济要素的动态变化。以1996-2011年的时间序列数据为基础，利用知识经济指标构建神经网络。所构建的神经网络可用于建立经济增长预测模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research of Economic Growth in the Context of Knowledge Economy

This paper analyses the nature of economic growth in the context of knowledge economy. Indicators that can describe the individual components of knowledge economy are selected. The dynamics of knowledge economy components based on statistics of Ukraine, Poland, Germany and Lithuania is researched. The neural network was built using knowledge economy indicators based on time series data for the years 1996-2011s. The constructed neural network can be used for developing models for economic growth forecasting.

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来源期刊

Intellectual Economics Arts and Humanities-Philosophy

CiteScore

1.90

自引率

0.00%

发文量