scholarly journals DIFFERENT INFLUENCE OF COOPERATION AND PUBLIC FUNDING ON INNOVATION ACTIVITIES WITHIN GERMAN INDUSTRIES

2019 ◽  
Vol 20 (2) ◽  
pp. 384-397 ◽  
Author(s):  
Viktor Prokop ◽  
Jan Stejskal
Keyword(s):  
Regression Models ◽  
Public Funding ◽  
Innovation Performance ◽  
Linear Regression Models ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Public Subsidies ◽  
Innovation Support ◽  
Final Consequence ◽  
Competitive Economy

The aim of this research is to analyse (i) influence of cooperation with different partners and public funding on firms´ willingness to innovate; (ii) how public funding and cooperation with different partners influence firms´ innovation performance (turnover); (iii) effects of mutual interactions between firms´ innovation activities, cooperation with different partners and public funding on firms´ innovation performance (measured with turnover). The situation of 561 firms in Machines and Equipment industries in Germany was analysed because it is one of the most competitive economy in the world and one of the leaders in innovation within European Union. It allows to create unique benchmark and to propose implications that will be more appropriate and applicable also in other countries. For analyses, the data from Community Innovation Survey 2012-2014, which is a harmonized questionnaire and provides EU's science and technology statistics, was used, and new binary and multiple linear regression models were employed. Results of analyses show that provision of public subsidies, unlike cooperation, strongly influence firm’s motivation to innovate. However, results also showed that supported innovation activities do not always lead to an increase in firms´ innovative performance. Therefore, it can be pointed to the phenomenon of inefficiency of public innovation support in final consequence.

scholarly journals Prospects for innovation performance on European level

2020 ◽  
Vol 12 (3) ◽  
pp. 100-114
Author(s):  
Nuša Erman
Keyword(s):  
Public Funding ◽  
Innovation Performance ◽  
European Level ◽  
Community Innovation Survey ◽  
Research And Innovation ◽  
Innovation Activities ◽  
Enterprise Level ◽  
Future Direction ◽  
Innovation Indicators

Abstract In 2004, the European Commission implemented the Decision No 1608/2003/EC of the European Parliament and of the Council concerning the production and development of Community statistics on innovation. This triggered the awareness of the role of innovation and R&D on national and European level and thus the opportunity to step towards in-depth monitoring innovation performance through various indicators. The paper aims to investigate the trends in the selected innovation indicators (i.e., public funding, expenditures and innovation activities, types of innovation and products introduced, hampered innovation activities) to outline the development direction on the enterprise level using the Community innovation survey data for the 2002–2016 period. Using the basic time series analysis, the paper evaluates the progress according to the European Strategy on research and innovation. Furthermore, using the autocorrelation and autoregression methods, the paper also outlines the future direction in innovation performance on European level.

scholarly journals Fostering Czech firms? innovation performance through efficient cooperation

2021 ◽  
Vol 12 (3) ◽  
pp. 671-700
Author(s):  
Viktor Prokop ◽  
Michaela Kotkova Striteska ◽  
Jan Stejskal
Keyword(s):  
Czech Republic ◽  
Public Funding ◽  
Value Added ◽  
Manufacturing Firms ◽  
Innovation Systems ◽  
Innovation Performance ◽  
Policy Implications ◽  
The Czech Republic ◽  
Innovation Activities ◽  
The Impact

Research background: The business climate development and the stage of innovation systems? transformation are very similar in many Central and Eastern European countries, making it necessary to study these specific economies. These economies are at a different level of transformation, and their governments are trying to support the development of a knowledge-based economy, the creation of innovation systems, and collaboration among different types of entities. These governments need feedback in the form of research into the impacts of public funding on innovation activities through the influence of basic research and cooperation-based resources in individual countries. Purpose of the article: This paper focuses on the examination of (i) the influence of national and European subsidies on innovation performance in manufacturing firms in the Czech Republic and (ii) impacts of knowledge- and cooperation-based resources on innovation activities in Czech manufacturing. Methods: The latest available data from the Community Innovation Survey was used for analyses realized by different regression models. The proposed research models were gradually created to verify the influence of pro-innovation factors (expenditures on in-house and external R&D and on the acquisition of external tangible and intangible sources, cooperation with different partners and innovation) and public (national and/or European) funding of firms? innovation performance within the Czech manufacturing industry. Findings and value added: The results have showed that there is a need to focus on direct and indirect effects of selected innovation determinants; we have also identified the crucial role of cooperation (specifically with government, public, or private research institutes) as a mediating variable within innovation processes. The results have also evidenced that public funding affects the efficiency of knowledge- and cooperation-based resources and amplifies the impact on firms? innovation performance differently. Whereas subsidies from national budgets do not significantly influence the innovation performance of Czech manufacturing firms, European subsidies, on the other hand, significantly increase firms? innovation performance. A long-term contribution of this paper is the significant completion of the theory of policy implications that may be applicable in a broad international context beyond the borders of the Czech Republic. This study significantly contributes to the ongoing discussion about (i) the significance of public financial subsidies from both national and European funds and (ii) the effects of cooperation and R&D on firms? innovation performance within ?catching-up? in Central and Eastern Europe. 

scholarly journals The Role of Public Support for Innovativeness in SMEs Across European Countries and Sectors of Economic Activity

2020 ◽  
Vol 12 (10) ◽  
pp. 4143
Author(s):  
Wojciech Grabowski ◽  
Anna Staszewska-Bystrova
Keyword(s):  
European Union ◽  
Small And Medium Enterprises ◽  
Public Support ◽  
The European Union ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Policy Mixes ◽  
The Impact ◽  
Innovation Support ◽  
The Eu

The paper investigates the impact of public support for innovation activities on adoption of different innovation strategies and propensities to introduce product, process, organizational and marketing innovations in European small and medium enterprises. In estimating these effects, country and sectoral heterogeneities are taken into account. Effectiveness of alternative policy mixes is also evaluated. The analysis is based on a multivariate, multi-stage econometric model and data from the Community Innovation Survey 2014. It is found that innovation support is utilized differently by newer and older members of the European Union, with the former investing mainly in acquisition of machinery, equipment, software, buildings, knowledge and trainings and the latter directing aid, to a larger extent, to research and development and introduction of innovations. The results also indicate various effectiveness of support from alternative institutional sources. Aid from the EU is more beneficial for manufacturing, while national and local support is more effective in older EU countries than newer members of the European Union and services sector. Using various but not all types of policy mixes is estimated to increase the chances of innovating. It is concluded that innovation support might not be optimally used in newer members of the EU and that better coordination of aid from the EU and national institutions could lead to improved economic results.

scholarly journals Different Approaches to Managing Innovation Activities: An Analysis of Strong, Moderate, and Modest Innovators

2017 ◽  
Vol 28 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Viktor Prokop ◽  
Jan Stejskal
Keyword(s):  
Spillover Effects ◽  
Innovation Performance ◽  
Community Innovation Survey ◽  
Policy Makers ◽  
Eu Member States ◽  
Research And Innovation ◽  
Innovation Potential ◽  
Innovation Activities ◽  
Microeconomic Analysis ◽  
The Eu

In the present day, innovation has become a key element of competitive advantage. However, most countries are failing in their innovative activities, and their innovative performance is below that of the EU average. Therefore, the European Commission annually publishes its Innovation Union Scoreboard, which provides a comparative assessment of the EU member states’ research and innovation performance. The countries are divided into four groups according to their innovation performance: innovation leaders, strong innovators, moderate innovators, and modest innovators. In this paper, we have selected countries whose innovation performance was close to, below, or well below that of the EU average in 2015, and we have performed microeconomic analysis of the situation in these countries’ firms to analyze the conditions of their innovation environment and uncover barriers to their innovation activities. We analyzed firms in the manufacturing industries in Slovenia (a strong innovator), Croatia (a moderate innovator), and Romania (a modest innovator) by using original multiple regression models and data from the 2010–2012 Community Innovation Survey. The results demonstrate the different backgrounds for innovation in each country. In Romania, there is a lack of both a satisfactory environment for innovation and sufficient capacity for absorbing public funds; investment into innovation-related activities is also absent. In Croatia, the innovation potential has not been fully exploited. However, we show that the appropriate targeting of innovation determinants (e.g., collaboration with different partners or public financing) could lead to the creation of synergies and spillover effects that would be able to support their innovative activities and strengthen the country’s competitiveness. There is a completely different situation in Slovenia. Firms there effectively utilize the various determinants of innovation activities, and these determinants have strong influence when utilized on their own. On the other hand, results also show that certain significant combinations of determinants of innovation activities are missing in Slovenia. In conclusion, we have proposed practical implications for policy makers that would be able to support innovative activities and help each country to improve its innovation ranking.DOI: http://dx.doi.org/10.5755/j01.ee.28.1.16111

scholarly journals Networking theory of innovation in practice – The Hungarian case

2018 ◽  
Vol 64 (No. 12) ◽  
pp. 536-545 ◽  
Author(s):  
Jozsef TOTH ◽  
Jeremias MATE BALOGH ◽  
Aron TOROK
Keyword(s):  
European Union ◽  
Food Industry ◽  
Point Of View ◽  
Innovation Performance ◽  
The European Union ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Hungarian Case ◽  
Do So ◽  
Significant Factors

According to the European Innovation Scoreboard (2017) report, Hungary’s summarised innovation score is 67.4 against the EU28 average of 102. This implies that the Hungarian economy has got rather serious disadvantages in the European Union community. This statement is more pronounced in the case of the food industry. From an innovation point of view food industry is seen as a slow one, which is lagging behind the technology pushed possibilities, but sometimes behind the customers’ desires and requirements as well. In our research, we determine why the food companies in Hungary do not engage in innovation activities and if they do so, what are the main drivers of their innovation performance? We use the Community Innovation Survey (CIS 2012a) data and employ double hurdle estimation because of the nature of the innovation distribution. This method also helps in overcoming the selection bias problem, which necessarily occurs in this situation. Results prove that networking scope as well as networking intensity, play an important role in explaining innovation performance. The size and market obstacles are also significant factors.

scholarly journals Revealing the importance of cooperative ties and R&D support within Czech manufacturing industry

2019 ◽  
Author(s):  
Viktor Prokop ◽  
Jan Stejskal ◽  
Ondrej Kuba
Keyword(s):  
Manufacturing Industry ◽  
Linear Regression Models ◽  
Community Innovation Survey ◽  
Public Funds ◽  
The Czech Republic ◽  
Creative Processes ◽  
Eu Member States ◽  
Knowledge Processes ◽  
Innovation Activities ◽  
Public Resources

The importance of cooperation in the field of application knowledge and skills in creative processes is a constantly discussed topic. In general, these processes are described by a many study, but each of them acknowledges the need to take into account the specificities of individual countries and industries. All firms in the knowledge processes use cooperative links with their partners and often also public funds, which the state provides to support increased competitiveness or innovative absorption. Therefore, the aim of this paper has been defined as (i) to verify whether cooperation on innovation activities lead to growth or decrease of firms’ turnover and (ii) to find ways to allocate public funds more effectively, because most of innovation activities and cooperation are supported from public funds. Two linear regression models were employed. Data was sourced from a harmonized questionnaire of selected EU Member States from the Community Innovation Survey carried out in the Czech Republic for the period 2010-2012. Analyses have confirmed that collaborative links are at the heart of innovation processes, as well as the manufacturing industry has significant public resources that support these links and influence the growth of their turnover.

IMPACT OF PUBLIC FUNDING ON A FIRM'S INNOVATION PERFORMANCE: ANALYSIS OF INTERNAL AND EXTERNAL MODERATING FACTORS

2011 ◽  
Vol 15 (06) ◽  
pp. 1297-1322 ◽  
Author(s):  
JOSE ALBORS-GARRIGOS ◽  
ROSA RODRIGUEZ BARRERA
Keyword(s):  
Performance Analysis ◽  
Public Funding ◽  
Innovation Process ◽  
Innovation Performance ◽  
Mediating Effects ◽  
Research Gaps ◽  
Moderating Factors ◽  
Public Subsidies ◽  
Innovative Behaviour ◽  
D Investment

This paper analyses the effect of public subsidies on a firm's innovation performance. The research aims at filling two research gaps. First, it will try to analyse the effect of public source funding directly on a firm's innovation performance analysing not the effects on R&D investment or intensity but on the final results of the innovative effort, its outcome. Secondly, it will examine the mediating effects of various (internal and external to the firm innovative behaviour) factors which influence the whole innovation process and, though have been identified by literature, its effects have not yet been properly quantified.

The effects of coopetition on the innovation activities and firm performance

2019 ◽  
Vol 29 (5) ◽  
pp. 622-645 ◽  
Author(s):  
Cristina I. Fernandes ◽  
João J. Ferreira ◽  
Pedro M. Veiga ◽  
Carla Marques
Keyword(s):  
Positive Impact ◽  
Innovation Performance ◽  
Theory Approach ◽  
Transfer Of Knowledge ◽  
Multivariate Statistical ◽  
Community Innovation Survey ◽  
Content Type ◽  
Innovation Activities ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper involves evaluating the impact of coopetition on the innovation activities and innovation performance of companies. Design/methodology/approach The study deployed data from the Community Innovation Survey – CIS 2012 and subject to the application of different multivariate statistical analysis processes. Findings The authors furthermore conclude that coopetition and the transfer of knowledge to and from competitors generates a statistically significant positive impact on company innovation-related activities and performance. Originality/value This work enriches the theory of innovation from the perspectives of game-theoretic strategic and resource theory approach. Moreover, the findings provide several recommendations for managers to effectively conduct firm’s coopetition strategy on innovation performance.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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