A multivariate approach to the identification of initial smart specialisations of Polish voivodeships

Equilibrium Pub Date : 2020-12-20 DOI:10.24136/eq.2020.034
Beata Bal-Domańska, Elżbieta Sobczak, E. Stańczyk
{"title":"A multivariate approach to the identification of initial smart specialisations of Polish voivodeships","authors":"Beata Bal-Domańska, Elżbieta Sobczak, E. Stańczyk","doi":"10.24136/eq.2020.034","DOIUrl":null,"url":null,"abstract":"Research background: The identification of smart specialisations should be based on information allowing the identification of resources and capital in the regions, which constitute the unique value of the area providing for the development of competitive advantages based on innovations and achievements in the research and development activities.  \nPurpose of the article: The key goal is to present the proposal to use an aggregate (synthetic) measure for the purpose of identifying regional development potentials and next the initial smart specialisations (RSS). This approach is particularly useful at the very initial stage of recognizing the potential in the region, and ? after some modifications ? may offer a useful tool for assembling the de-velopment of industries (services) in the region. The additional goals are: (1) to organize the knowledge regarding statistical approaches and selected methods to be used in the process of identifying initial smart specialisations in regions (RSS); (2) exemplification of the presented methodology for the initial regional smart specialisations (RSS) identification in voivodeships in Poland based on a multivariate approach. \nMethods: Multivariate statistical analysis (MSA) methods are used in the identification procedure of initial regional smart specialisations (RSS), which allowed for performing the assessment in 4 areas: resources and capital; specialisation; development potential (dynamics); the involvement in research and development and innovative activities. They can also be extended with additional dimensions related to the cooperation of enterprises with social or environmental priorities. \nFindings & Value added: The conducted procedure allowed identifying NACE rev. 2 divisions useful in determining development potentials in Polish regions and later the initial smart specialisations (RSS). The identified initial RSS for Polish voivodeships can be a starting point for building regional smart specialisations based on values supply chain or other premises. Due to the universal nature of the proposed methodology, it can be widely used at the level of subregions, regions and the EU countries.","PeriodicalId":84667,"journal":{"name":"Equilibrium","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Equilibrium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24136/eq.2020.034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

Research background: The identification of smart specialisations should be based on information allowing the identification of resources and capital in the regions, which constitute the unique value of the area providing for the development of competitive advantages based on innovations and achievements in the research and development activities.  Purpose of the article: The key goal is to present the proposal to use an aggregate (synthetic) measure for the purpose of identifying regional development potentials and next the initial smart specialisations (RSS). This approach is particularly useful at the very initial stage of recognizing the potential in the region, and ? after some modifications ? may offer a useful tool for assembling the de-velopment of industries (services) in the region. The additional goals are: (1) to organize the knowledge regarding statistical approaches and selected methods to be used in the process of identifying initial smart specialisations in regions (RSS); (2) exemplification of the presented methodology for the initial regional smart specialisations (RSS) identification in voivodeships in Poland based on a multivariate approach. Methods: Multivariate statistical analysis (MSA) methods are used in the identification procedure of initial regional smart specialisations (RSS), which allowed for performing the assessment in 4 areas: resources and capital; specialisation; development potential (dynamics); the involvement in research and development and innovative activities. They can also be extended with additional dimensions related to the cooperation of enterprises with social or environmental priorities. Findings & Value added: The conducted procedure allowed identifying NACE rev. 2 divisions useful in determining development potentials in Polish regions and later the initial smart specialisations (RSS). The identified initial RSS for Polish voivodeships can be a starting point for building regional smart specialisations based on values supply chain or other premises. Due to the universal nature of the proposed methodology, it can be widely used at the level of subregions, regions and the EU countries.
识别波兰各省初始智能专业的多元方法
研究背景:智能专业化的识别应基于允许识别区域资源和资本的信息,这些信息构成了该区域的独特价值,为基于研究和开发活动中的创新和成就的竞争优势的发展提供了支持。本文的目的:关键目标是提出建议,使用汇总(综合)措施来确定区域发展潜力,然后是初始智能专业化(RSS)。在认识到该地区潜力的最初阶段,这种方法尤其有用。经过一些修改?可能为该地区的工业(服务业)发展提供一个有用的工具。额外的目标是:(1)组织有关统计方法和选择方法的知识,用于确定区域初始智能专业化(RSS)的过程;(2)基于多元方法的波兰省的初始区域智能专业化(RSS)识别所提出的方法的例证。方法:在初始区域智能专业化(RSS)的识别过程中使用多元统计分析(MSA)方法,允许在4个领域进行评估:资源和资本;专业化;发展潜力(动态);参与研究、发展和创新活动。它们还可以扩展到与具有社会或环境优先事项的企业的合作有关的其他方面。发现和增值:所进行的程序允许确定NACE rev. 2部门,这对确定波兰地区的发展潜力和后来的初始智能专业化(RSS)有用。确定的波兰省的初始RSS可以作为建立基于价值供应链或其他前提的区域智能专业化的起点。由于所提议的方法的普遍性,它可以在分区域、区域和欧盟国家一级广泛使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信