沿海地区创新活动的地理学:海洋盆地的比较评估

IF 1.2 Q3 GEOGRAPHY
Andrey Sergeevich Mikhaylov, A. Mikhaylova, Daniil Maksimenko, M. Maksimenko, D. Hvaley
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引用次数: 0

摘要

全球沿海地区正在经历人口和经济活动的超高速增长,这种现象被称为海岸化。大多数全球城市和产业集群位于沿海地区,是各自国家的经济增长节点。这种差异同样适用于国家创新体系,它们都倾向于高度城市化的沿海地区。该研究旨在评估位于不同海盆(亚速海-黑海、里海、波罗的海、北极和太平洋)的沿海地区之间知识生产的空间分层。为了消除创新政策和制度架构的国家差异,本研究在一个国家-俄罗斯联邦进行。我们的研究假设表明,创新活动的知识生产领域受到城市化和沿海化的影响,即靠近核心城市和靠近海岸。我们还期望沿海化因素将反映在沿海城市加强参与知识生产网络。该研究基于对ROSRID数据库中2017-2019年实施的66,647个研究项目的处理,并使用Yandex进行地理编码。地图API。研究表明,城市化因素对研发网络配置的影响最大,知识生产的核心中心是海洋盆地最大的城市,这进一步推动了周边城市的参与。除了波罗的海和亚速海-黑海盆地表现最好外,近70%的海洋盆地城市很少或根本没有参与知识生产。总体而言,靠近非冰冻海洋的海岸与执行和资助的研发数量呈正相关。考虑到研究主题,海洋相关研究的份额通常由沿海地区资助,而执行的研发涵盖了广泛的主题。研究成果丰富了创新地理学的概念,促进了对国家创新体系内知识分布空间因素的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coastal regions in the geography of innovation activity: A comparative assessment of marine basins
Across the globe marine coasts are experiencing an outstripping growth of the population and economic activity, a phenomenon known as coastalization. Most global cities and industry clusters are located in coastal regions acting as economic growth nodes for their respective countries. This divergence is equally true for national innovation systems, gravitating towards highly urbanized coastal areas. The study is designed to evaluate the spatial stratification of the knowledge production between the coastal regions located in different marine basins - Azov-Black, Caspian, Baltic, Arctic, and Pacific. In order to level-out the national differences of the innovation policy and institutional architecture, the research is held in a single country - the Russian Federation. Our research hypothesis suggests that the knowledge production domain of the innovation activity is influenced by urbanization and coastalization, i.e. the proximity to the core city and the coast. We also expect that the coastalization factor would be reflected in intensified involvement of coastal municipalities in knowledge production networks. The study is based on processing the ROSRID database of 66,647 research projects implemented in 2017-2019 and geocoded using the Yandex.Maps API. The research has shown that the urbanization factor has the strongest influence in configuration of R&D networks - the core centers of knowledge production are the largest cities in marine basins that give further impetus to the involvement of neighboring municipalities. Nearly 70% of municipalities across marine basins have limited or no involvement in the knowledge production, except the Baltic and Azov-Black Sea basins that feature the strongest performance. Overall, the proximity to the coast of non-freezing seas has a positive correlation with the number of R&Ds executed and funded. Considering the research topics, the share of marine-related research is typically funded by coastal regions, whereas the executed R&Ds cover a broad variety of topics. Research results enrich the notion of geography of innovation and advance our understanding of the spatial factors in knowledge distribution within the national innovation system.
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来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
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