Strategic management of smart specialization in regional economic development: connection of export, sectoral, scientific, and technological competences

J. Lyshchikova, E. Stryabkova, Marina Vladyka, Anna Kulik, Yana Bondareva
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Abstract

The article proposes a methodological approach to determining the priorities of smart specialization based on the conjugation of industry-specific specialization at the global, national, and macroregional levels and the scientific and technological competences of the region in the context of geographical, structural, technological, and cognitive proximity. As exemplified by the Central Black Earth macroregion, the study establishes a managerial matrix and scenario models based on competences. As a result of testing the research tools, a unified template of the managerial matrix for conjugating the directions of export (national, macroregional) and scientific and technological specialization of the macroregion was developed and scenario models for determining the priorities of smart specialization of regions within the Central Black Earth macroregion were built as part of entrepreneurial search procedures with the participation of all parties involved (regional authorities, business community, scientific community, and local residents). The proposed approach will allow all regions, including those not widely included in the global or national division of labor, to find a promising niche for development at the macroregional (local) level. In addition, it considers the possibilities of intersectoral convergence and the use of the accumulated competences of these regions in the field of end-to-end digital technologies.
区域经济发展中智能专业化的战略管理:出口、部门、科学和技术能力之间的联系
文章提出了一种确定智能专业化优先事项的方法论,其基础是在地理、结构、技术和认知接近的背景下,将全球、国家和宏观区域层面的特定行业专业化与区域的科技能力结合起来。以中部黑土宏观地区为例,研究建立了基于能力的管理矩阵和情景模式。在对研究工具进行测试后,开发了一个统一的管理矩阵模板,用于将宏观区域的出口方向(国家、宏观区域)和科技专业化结合起来,并建立了情景模式,用于确定中黑土宏观区域内各地区智能专业化的优先事项,作为创业搜索程序的一部分,所有相关方(地区当局、企业界、科学界和当地居民)都参与其中。所建议的方法将使所有地区,包括那些未被广泛纳入全球或国家分工的地区,都能在宏观地区(地方)层面找到有发展前景的利基。此外,它还考虑了跨部门融合的可能性,以及利用这些地区在端到端数字技术领域积累的能力。
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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