Efficiency Determinants of Regional Innovation Systems in Polish Subregions

Ciołek, Dorota; Golejewska, Anna

doi:10.33119/gn/151792

Cited by 2 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis of individual variables shows that metropolitan regions are characterized by higher innovation capacity. Ciołek and Golejewska (2022) found the positive effect of regional market size, standard of living and social proximity on the efficiency of innovation processes in Polish subregions. The study was conducted for 72 Polish NUTS-3 subregions in the years 2005-2016.…”

Section: Discussionmentioning

confidence: 91%

“…The degree of innovativeness should also be assessed at different levels of economic aggregation (see De Carvalho et al, 2017;Roszko-Wójtowicz & Grzelak, 2020;Sinclair-Desgagné, 2022). The macroeconomic comparative perspective ought to be complemented by analyses at the mesoeconomic level presenting the level of innovativeness of regions, as geographical proximity and other related dimensions of this phenomenon, such as cognitive, organisational, social and institutional proximity, play a significant role in the development of innovativeness (Ciołek & Golejewska, 2022;Parrilli et al, 2020;Boschma, 2005). It is in the regions that interaction and cooperation between the actors of innovation systems occur most often.…”

Section: Introductionmentioning

confidence: 99%

“…The use of panel data models in research on regional innovativeness is relatively rare. Such models were used by Hunady et al (2017) to conduct research on the potential relationship between gross domestic expenditure on R&D and economic development of the V4 regions, by Ciołek and Golejewska (2022) in their research on the effectiveness of regional innovation systems in sub-regions of Poland, as well as by Zhengwen et al (2022) to examine the relationship between science and technology insurance and regional innovation. The added value of this work, in addition to determining the relationship between expenditures on innovation and their effects, is also conducting these analyses on the basis of panel data models.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

In search of key determinants of innovativeness in the regions of the Visegrad group countries

Roszko‐Wójtowicz

Dańska-Borsiak

Grzelak

et al. 2022

View full text Add to dashboard Cite

Research background: Discussions on the state of the economy in times of crisis focus not only on maintaining or improving innovativeness, but also on the emergence of new dimensions of this phenomenon and changing the significance of individual determinants of innovativeness. Innovativeness is a complex, multidimensional and difficult to measure phenomenon, which implies the need to select various indicators and methods for its assessment. Synthetic measures of innovativeness are widely used in comparative analyses, in particular presenting results in international or interregional cross-sections. The degree of innovativeness should also be assessed at different levels of economic aggregation. The lower the level of aggregation, the easier it becomes to capture the specific determinants of the increase in innovativeness of a given area. Purpose of the article: The main aim of the paper is to attempt to measure the relationship between expenditures and results of innovative activities for NUTS-2 regions of the Visegrad Group countries. Three variables were adopted to describe the effects of innovative activity: PCT patent applications per billion GDP (in PPS), trademark applications per billion GDP (in PPS) and public-private co-publications per million of population. Methods: The study covered 37 NUTS-2 regions of the Visegrad Group countries in the years 2014?2021. From the point of view of the purpose of the paper and the need to search for the relationship between expenditures on innovative activity and the results of this activity, it is worth emphasizing that the use of static and dynamic econometric models proved to be a substantively correct solution leading to the formulation of clear conclusions. Findings & value added: The conducted research confirmed that business R&D expenditure on GDP has a positive effect on inventions expressed by patents and trademarks, especially in the long run. In addition, the literature review and empirical analyses indicate that the main determinants of innovativeness (both before and during the pandemic) are the expenditures of economic entities on R&D, competences expressed by the level of education or participation in tertiary education, as well as the number of ICT specialists and the percentage of people employed in science and technology. Despite the deterioration of many macroeconomic indicators in the countries of the Visegrad Group, the expenditures of the business sector on R&D in most regions did not decrease between 2019 and 2021. The added value of the paper is the presented research procedure, which can be used in analyses of innovativeness also for other groups of regions.

show abstract

Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

In search of key determinants of innovativeness in the regions of the Visegrad group countries

Roszko‐Wójtowicz

Dańska-Borsiak

Grzelak

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Inovasi memungkinkan daerah yang tertinggal menjadi kompetitif. Daerah dianggap sebagai kunci kinerja sistem inovasi yang efektif (Cilotek and Golejewska 2022). Daerah diharapkan lebih fleksibel dan kreatif serta mempunyai kewenangan untuk berinovasi dalam implementasi kebijakan yang bersifat top down dari pemerintah pusat.…”

Section: Pendahuluanunclassified

Pentingnya Perilaku Pelaksana Regulasi untuk Pencapaian Indeks Inovasi Daerah yang Tinggi

Deru

Sobri

Alfitri

et al. 2023

PPTK

View full text Add to dashboard Cite

Inovasi daerah merupakan salah satu faktor yang dapat mendorong kemajuan suatu daerah. Pemerintah telah menetapkan beberapa kebijakan yang mengamanatkan inovasi daerah. Implementasi kebijakan inovasi daerah menjadi penentu kesuksesan atau kegagalan inovasi di daerah, sehingga dirasa penting untuk melakukan Studi Implementasi kebijakan Inovasi Daerah. Penelitian ini bertujuan untuk mengetahui kinerja implementasi kebijakan, dan menggali faktor yang mempengaruhi kinerja kebijakan inovasi daerah. Desain penelitian dipilih studi kualitatif yang dilakukan di Provinsi Sumatera Selatan. Teknis pengumpulan data dilakukan melalui wawancara mendalam pada 47 Informan kunci dan telaah dokumen. Analisis data dilakukan secara deskriptif, induktif, dan analisis konten. Hasil penelitian menunjukkan bahwa kinerja implemetasi kebijakan inovasi daerah Provinsi Sumatera Selatan tahun 2022 sangat baik dengan skor Indeks Inovasi daerah (79,47), provinsi terbaik secara Nasional. Kinerja Kebijakan tersebut dipengaruhi oleh perilaku pelaksana, sikap pelaksana, karakteristik organisasi, komunikasi antarorganisasi, kondisi sosial, ekonomi, dan politik, sumber daya, dan pemahaman terhadap standar dan sasaran kebijakan. Variabel perilaku pelaksana merupakan temuan khusus dalam penelitian ini yang memperkaya Teori Imlementasi Kebijakan Van Meter Van Horn. Disimpulkan bahwa diperlukan komitmen kepala daerah dan perilaku positif dari seluruh jajaran dalam mengimplementasikan kebijakan inovasi daerah untuk meningkatkan indeks inovasi daerah.

show abstract

Efficiency Determinants of Regional Innovation Systems in Polish Subregions

Cited by 2 publications

References 39 publications

In search of key determinants of innovativeness in the regions of the Visegrad group countries

In search of key determinants of innovativeness in the regions of the Visegrad group countries

Pentingnya Perilaku Pelaksana Regulasi untuk Pencapaian Indeks Inovasi Daerah yang Tinggi

Contact Info

Product

Resources

About