{"title":"相关品种和国家资助的研发合作:捷克的地理和产业分析","authors":"Petr Horák","doi":"10.14712/23361980.2023.15","DOIUrl":null,"url":null,"abstract":"This paper aims to explore the influence of related variety on direct state-supported R&D cooperation across various geographical levels to understand regional performance differentiation and economic base restructuring in Czechia by employing Frenken et al.’s (2007) methodological approach to calculate a related and unrelated variety for all NACE and NACE C-Manufacturing. Findings indicate that the city of Prague has the highest unrelated and related variety, followed by the cities of Brno, Ostrava, and Pilsen. Calculation just for C-Manufacturing changes the ordering significantly. Furthermore, intra-regional and extra-regional pairwise R&D cooperation in joint projects is calculated. The cluster analysis of Czech microregional data (SO ORP) reveals patterns such as emerging collaborators and collaboration powerhouses. Linear regression analyses established a strong positive association between R&D collaboration intensity and related variety, while a negative link was observed with unrelated variety. Similar relationships were observed in the manufacturing sector (NACE-C).","PeriodicalId":41831,"journal":{"name":"AUC Geographica","volume":"232 ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Related variety and state-sponsored R&D collaboration: a geographical and industrial analysis in Czechia\",\"authors\":\"Petr Horák\",\"doi\":\"10.14712/23361980.2023.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to explore the influence of related variety on direct state-supported R&D cooperation across various geographical levels to understand regional performance differentiation and economic base restructuring in Czechia by employing Frenken et al.’s (2007) methodological approach to calculate a related and unrelated variety for all NACE and NACE C-Manufacturing. Findings indicate that the city of Prague has the highest unrelated and related variety, followed by the cities of Brno, Ostrava, and Pilsen. Calculation just for C-Manufacturing changes the ordering significantly. Furthermore, intra-regional and extra-regional pairwise R&D cooperation in joint projects is calculated. The cluster analysis of Czech microregional data (SO ORP) reveals patterns such as emerging collaborators and collaboration powerhouses. Linear regression analyses established a strong positive association between R&D collaboration intensity and related variety, while a negative link was observed with unrelated variety. Similar relationships were observed in the manufacturing sector (NACE-C).\",\"PeriodicalId\":41831,\"journal\":{\"name\":\"AUC Geographica\",\"volume\":\"232 \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUC Geographica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14712/23361980.2023.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUC Geographica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14712/23361980.2023.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
摘要
本文采用 Frenken 等人(2007 年)的方法,计算了所有 NACE 和 NACE C 制造业的相关和非相关品种,旨在探讨相关品种在不同地理层次上对国家直接支持的研发合作的影响,以了解捷克的地区绩效差异和经济基础结构调整。结果表明,布拉格市的非相关和相关品种最多,其次是布尔诺市、俄斯特拉发市和比尔森市。仅计算 C 制造业,排序就发生了显著变化。此外,还计算了联合项目中的区内和区外成对研发合作。对捷克微观地区数据(SO ORP)的聚类分析揭示了新兴合作者和合作强国等模式。线性回归分析表明,研发合作强度与相关品种之间存在密切的正相关关系,而与非相关品种之间则存在负相关关系。在制造业(NACE-C)中也观察到了类似的关系。
Related variety and state-sponsored R&D collaboration: a geographical and industrial analysis in Czechia
This paper aims to explore the influence of related variety on direct state-supported R&D cooperation across various geographical levels to understand regional performance differentiation and economic base restructuring in Czechia by employing Frenken et al.’s (2007) methodological approach to calculate a related and unrelated variety for all NACE and NACE C-Manufacturing. Findings indicate that the city of Prague has the highest unrelated and related variety, followed by the cities of Brno, Ostrava, and Pilsen. Calculation just for C-Manufacturing changes the ordering significantly. Furthermore, intra-regional and extra-regional pairwise R&D cooperation in joint projects is calculated. The cluster analysis of Czech microregional data (SO ORP) reveals patterns such as emerging collaborators and collaboration powerhouses. Linear regression analyses established a strong positive association between R&D collaboration intensity and related variety, while a negative link was observed with unrelated variety. Similar relationships were observed in the manufacturing sector (NACE-C).