工业区域经济技术转化的智力资本

A. Chursin, A. Yudin, P. Grosheva
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引用次数: 1

摘要

研究课题的相关性是由于需要加强和扩大俄罗斯经济的技术改造,这应该有助于高科技产品生产的增长和提高国内制造商在世界市场上的竞争力。本研究的假设是,工业区域智力资本的组成特征决定了其经济向新的主导技术结构过渡的倾向/缺乏倾向。科学研究的目的是确定智力资本的类型,以及哪些类型形成了区域经济技术转型的倾向。在研究过程中,解决了以下问题:对影响区域创新和技术发展的智力资本结构要素,即教育进行了论证;创新能力;创新技能;利他主义;认知和非认知能力;对变化的敏感性和对技术变化的适应性。公开了分别对应第四、第五、第六技术框架的抽取型、单包容型和多包容型产业区智力资本。利用矩阵法和Frobenius规范,提出了一种估算工业区域经济中主导技术结构的智力资本的方法,这使得在考虑到主要资本要素的动态趋势的情况下进行长期研究成为可能。对作者方法的检验表明,克麦罗沃州、下诺夫哥罗德州、彼尔姆州、巴什科尔托斯坦共和国、鞑靼斯坦共和国、斯维尔德洛夫斯克州、乌德穆尔特共和国、车里雅宾斯克州、楚瓦什共和国和雅罗斯拉夫尔州等地区拥有促进该地区经济技术发展的智力资本。所获得结果的新颖性在于区域类型学的发展,这使人们能够在智力资本类型的背景下确定最容易进一步进行经济技术转型的地区。所获得的结果的实际意义在于,当局有可能利用这些结果作为制定工业发展战略和工业区域经济结构调整的工具。
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Intellectual Capital of Technological Transformation of Economy of Industrial Region
The relevance of the research topic is due to the need to strengthen and expand the technological transformation of the Russian economy, which should contribute to the growth of high-tech products production and increase the competitiveness of domestic manufacturers in the world market. The hypothesis of the study is that the component features of the intellectual capital of the industrial region determine the predisposition/absence of predisposition of its economy to make a transition to a new dominant technological structure. The purpose of the scientific research is to identify the types of intellectual capital and which of them form the predisposition of regions to the technological transformation of their economies. During the study, the following tasks were solved: structural elements of intellectual capital that affect the innovative and technological development of the region, namely: education, are justified; innovative competencies; innovative skills; altruism; cognitive and non-cognitive competencies; sensitivity to change and adaptation to technological changes. Extractive, mono-inclusive and multi-inclusive type of intellectual capital of industrial regions, corresponding to the fourth, fifth and sixth technological framework, respectively, is disclosed. A methodology for estimating intellectual capital, which determines the dominant technological structure of the economy of the industrial region, has been developed on the basis of the use of the matrix method and Frobenius norms, which make it possible to conduct research over a long-time interval taking into account the dynamic trends of the main capital elements. The testing of the author's methodology revealed that such territories as Kemerovo Region, Nizhny Novgorod Region, Perm Territory, Republic of Bashkortostan, Republic of Tatarstan, Sverdlovsk Region, Udmurt Republic, Chelyabinsk Region, Chuvash Republic and Yaroslavl Region have intellectual capital for further technological development of the region's economy. The novelty of the obtained results lies in the development of a typology of regions, which enables one to identify the territories most prone to further technological transformation of the economy in the context of types of intellectual capital. The practical significance of the results obtained lies in the possibility of their use by authorities as a tool for developing a strategy for industrial development and structural adjustment of the economy of industrial regions.
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