{"title":"罗马尼亚的地域创新模式。智能专业化的未来之路","authors":"C. Serbanica","doi":"10.24193/TRAS.62E.9","DOIUrl":null,"url":null,"abstract":"This study examines the territorial patterns of innovation in Romania, a country labelled as ‘modest innovator’. Our main assumption is that the large heterogeneity in the sub-national innovation patterns is not captured in the typologies developed for the NUTS2 regions. Consequently, the study proposes a categorization of the Romanian NUTS3 counties according to their innovation performance and structural characteristics, by means of a two-step factor analysis combined with hierarchical cluster analysis. The results point to the existence of five territorial groupings with similar characteristics: knowledge-intensive hubs, technology-intensive platforms, diversified agglomerations, industrial production zones and structurally challenged regions. Taken together, the results suggest the need to prioritize structural transformation and embrace the broad-based innovation concept.","PeriodicalId":45832,"journal":{"name":"Transylvanian Review of Administrative Sciences","volume":"17 1","pages":"153-175"},"PeriodicalIF":1.0000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Territorial Innovation Patterns in Romania. Future Pathways for Smart Specialization\",\"authors\":\"C. Serbanica\",\"doi\":\"10.24193/TRAS.62E.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the territorial patterns of innovation in Romania, a country labelled as ‘modest innovator’. Our main assumption is that the large heterogeneity in the sub-national innovation patterns is not captured in the typologies developed for the NUTS2 regions. Consequently, the study proposes a categorization of the Romanian NUTS3 counties according to their innovation performance and structural characteristics, by means of a two-step factor analysis combined with hierarchical cluster analysis. The results point to the existence of five territorial groupings with similar characteristics: knowledge-intensive hubs, technology-intensive platforms, diversified agglomerations, industrial production zones and structurally challenged regions. Taken together, the results suggest the need to prioritize structural transformation and embrace the broad-based innovation concept.\",\"PeriodicalId\":45832,\"journal\":{\"name\":\"Transylvanian Review of Administrative Sciences\",\"volume\":\"17 1\",\"pages\":\"153-175\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transylvanian Review of Administrative Sciences\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.24193/TRAS.62E.9\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transylvanian Review of Administrative Sciences","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.24193/TRAS.62E.9","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
Territorial Innovation Patterns in Romania. Future Pathways for Smart Specialization
This study examines the territorial patterns of innovation in Romania, a country labelled as ‘modest innovator’. Our main assumption is that the large heterogeneity in the sub-national innovation patterns is not captured in the typologies developed for the NUTS2 regions. Consequently, the study proposes a categorization of the Romanian NUTS3 counties according to their innovation performance and structural characteristics, by means of a two-step factor analysis combined with hierarchical cluster analysis. The results point to the existence of five territorial groupings with similar characteristics: knowledge-intensive hubs, technology-intensive platforms, diversified agglomerations, industrial production zones and structurally challenged regions. Taken together, the results suggest the need to prioritize structural transformation and embrace the broad-based innovation concept.
期刊介绍：
TRAS represents a collective effort initiated by an international group aimed at boosting the research in the field of public administration in a country where during the communist regime there was no tradition in this sense. TRAS represents a unique source of specialized analysis of the ex-communist space, of the transition processes to democracy, of the reform of public administration, and of comparative analysis of administrative systems. The general topic covered by the articles in the Review is administrative sciences. As a result of an interdisciplinary, modern approach, the articles cover the following specific themes: Public management, public policy, administrative law, public policy analysis, regional development, community development, public finances, urban planning, program evaluation in public administration, ethics, comparative administrative systems, etc. TRAS encourages the authors to submit articles that are based on empirical research. From the standpoint of the topic covered, TRAS is lined up with the trends followed by other international journals in the field of public administration. All articles submitted to the Transylvanian Review of Administrative Sciences have to present a clear connection to the field of administrative sciences and the research (both theoretical and empirical) should be conducted from this perspective. Interdisciplinary topics related to organizational theory, sustainable development and CSR, international relations, etc. can be considered for publication, however the research needs to address relevant issues from the perspective of the public sector. Articles which use highly specialized econometrics models as well as studies addressing macro-economic topics will not be considered for evaluation. The decision on whether a certain topic falls within the interest of TRAS belongs to the editors and it is not connected with the overall quality of the work submitted.
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