Mapping the Geography of R&amp;D: What Can We Learn for Regional Innovation Policy in the Czech Republic and Beyond?

Srholec, Martin; Žížalová, Pavla

doi:10.1080/09654313.2013.806435

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…Most of the recent studies in the Central and Eastern European region have been focused on the evaluation of cohesion R&D policies and those aimed at the elimination of the regional disparities, e.g., [60][61][62][63][64][65][66][67][68][69][70], policies facilitating trainings and education [71,72] and effectivity of the self-employment programmes for the unemployed [73][74][75]. However, based on a search in the databases of previously published academic articles and research reports, no study has been focused on the evaluation of entrepreneurship support through the financial instruments yet.…”

Section: Introductionmentioning

confidence: 99%

Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START

Dvouletý

2017

Sustainability

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Abstract:The purpose of this article was to conduct an empirical evaluation of the Czech public programme START, which was funded from the European Regional Development Fund. The programme lasted from 2007-2011, and supported new entrepreneurs through the zero interest soft loans and credit guarantees. The counterfactual analysis (using three matching techniques: propensity score, nearest neighbour, and kernel) was conducted on the firm level and investigated the changes in financial performance (net profits, return on assets (ROA), return on equity (ROE), sales, assets turnover, and debt ratio) of the supported firms four years after the end of intervention. The obtained findings could not support the hypothesis assuming a positive impact of the programme on the firm's performance. On the contrary, supported companies reported on average lower sales and lower return on assets, when compared to the control group. The remaining variables could not prove any statistically significant impact of the programme. Indicators measuring firm's profitability (net profit, return on assets, and return on equity) suggested a negative influence of the programme and the variable representing debt ratio further indicated that firms that were supported by the programme reported on average higher debt ratio in comparison with the control group. Several policy implications are discussed in the study.

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Section: Introductionmentioning

confidence: 99%

Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START

Dvouletý

2017

Sustainability

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“…The EU funding of new innovative infrastructure was mainly established in the Central Bohemia Region (around Prague) and to the city of Brno, which is considered to be a part of the NUTS3 South Moravia. The region is eligible for the support even though the Brno is over the 75 % GDP per capita threshold as well as Prague that is not egligible due to high GDP (Srholec and Žížalová, 2014). The substantial part of these investments are not targeted to the regions which are considered as poor (MMR, 2013).…”

Section: : Clusters Of the Regions In Border Areamentioning

confidence: 99%

“…Across the border, there are highly advanced regions of Bavaria and the Czech border regions registered a large amount of cross-border direct investments which unfortunately led to low value added activities (Žížalová, 2006). Areas of low R & D concentration are along the south-western borders with Germany and Austria (Srholec and Žížalová, 2014). It is probable result of the former Iron Curtain and of the older history connected with the resettlement of the German population from the so-called Sudetenland after the WWII.…”

Section: : Clusters Of the Regions In Border Areamentioning

confidence: 99%

“…There has been allocated funding total circa € 22 billion (European Commission, 2014). The majority of the Operational Programme Research and Development for Innovation of the EU is nominally headed to other regions (NUTS2) than Prague (Srholec and Žížalová, 2014). The reason for the focus on the border regions is related to the results of the strategic documents of the Ministry of Regional Development (2013).…”

Section: Introductionmentioning

confidence: 99%

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Economic Differences of Border Regions in the Czech Republic

Svobodová

Dömeová

Jindrová

2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The article deals with the economically weak regions in the border areas of the Czech Republic (CR). The main goal is the selection and application of the most important variables, as the methodology of selection and evaluation of economically weak regions is not united. The following research question was formulated as whether the border regions are economically weaker when compared with the Czech Republic average of selected indicators. Two working hypotheses were set: whether the situation of the border regions is different from each other among the border regions and whether the economy of the neighbouring country impacts these disparities in border regions. The secondary goal of this article is to find homogenous clusters and describe these clusters of border regions. The result of the principal component analysis was determination of three components Labour market, Transnational commuters and Population migration. The variables that set up the component Labour Market was found to be the most important for economically weak border regions. The three components were used for cluster analysis and the territories were broken up into four clusters, none of which is above average of the CR with the result that the situation in the border region is dependent on the neighbouring country.

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Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis

Stejskal

Hájek

2017

J Technol Transf

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Mapping the Geography of R&D: What Can We Learn for Regional Innovation Policy in the Czech Republic and Beyond?

Cited by 8 publications

References 20 publications

Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START

Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START

Economic Differences of Border Regions in the Czech Republic

Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis

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