In Search of a Strategy for Innovation Policy of Polish Economy

The paper is divided into three parts. First deals with the characteristics of innovative potential and innovative activity of Polish economy. Second is devoted to the problem of innovation policy in Poland. Considerations presented in this part allow to come to a few conclusions concerning evaluation of innovation policy implemented in Poland. The last part discusses the issue of innovation strategy suitable for development of Polish economy in long run

Indicators of university-industry knowledge transfer performance and their implications for universities: evidence from the UK’s HE-BCI survey

Focusing on the measurement of universities’ performance in knowledge transfer, we outline some critical issues connected with the choice of appropriate indicators: in particular, we argue that, in order to allow universities to correctly represent their knowledge transfer performance, indicators should include a variety of knowledge transfer activities, reflect a variety of impacts, allow comparability between institutions, and avoid the creation of perverse behavioural incentives. To illustrate these issues empirically, we discuss the case of the United Kingdom’s Higher Education –Business and Community Interaction (HE-BCI) survey. We show that the indicators used to measure and reward universities’ engagement in knowledge transfer are not fully comprehensive, they are better suited to capture the impact of certain types of activities than others and they are influenced by institutional strategies and characteristics rather than simply reflecting different performances. The conclusions explore some promising directions to address some of these problems

An analysis of the efficiency of public spending and national policies in the area of R&D

Improving the quality of public finances is a major challenge for European policy makers. The economic crisis has increased budgetary pressures and accentuated the tension between the need to sustain public spending aimed at raising the EU growth potential and the increased scarcity of public resources. Rising the efficiency and effectiveness of public spending in growth-enhancing areas such as education, R&D and innovation has become, therefore, even more important. This paper reviews the innovation performance of the different EU Member States and provides estimates of the relative efficiency of their R&D spending. In doing so, it aims at moving the policy discussion from mere volume-based policy targets towards a better assessment of the quality and effects of public R&D spending. The main contribution of this paper is therefore the identification of both (1) a suitable methodology for the evaluation of efficiency levels across Member States and (2) structural and policy determinants which may contribute to raise efficiency levels of R&D spending across countries and over time. Results indicate that there exist large cross-country differences in terms of measured efficiency, which is an indication that in many Member States there remains a significant potential for further improvement. Currently, there appears to be a divide in efficiency levels between old and new Member States. However, there is some evidence that the new Member States are catching up. The estimated efficiency scores indicate that all EU Member States have improved their efficiency levels over time. There is evidence that the efficiency of R&D spending is higher in countries with a strong knowledge base which, in turn, implies that increases in R&D spending do not necessarily lead to reductions in efficiency levels. Other factors that positively affect efficiency levels include the high-tech specialisation of the economy, the level of investment in education, the employment share in science and technology, and the degree of protection of intellectual property rights. Finally, a R&D tax treatment more oriented towards fiscal incentives rather than direct subsidies appears to have a positive effect on the efficiency level of R&D spending across EU Member States. This work is based on both a quantitative measurement of efficiency levels and a qualitative analysis of the policy instruments used in the Member States to promote R&D efficiency and effectiveness. Efficiency scores are calculated by means of the Stochastic Frontier Analysis for a set of input and output indicators in order to overcome the limitations associated with each individual indicator. A complementary survey of national governments highlights some further policy instruments that could contribute to increase the efficiency of R&D and innovation policies, in particular at the national level. The results of the survey argue in favour of adopting a systemic approach to R&D, education and innovation policies, including three main elements: (i) adapting educational programmes and the research infrastructure to the needs of science and industry; (ii) making a sustained commitment to knowledge investment by adopting medium-term funding programmes; and (iii) evaluating existing R&D programmes in order to determine which policy tools are the most effective and in which areas R&D investments offer the highest returns. More recently, Member States have introduced R&D spending measures specifically targeted to deal with the consequences of the economic crisis. A closer look at these measures reveals that Member States consider direct grants and offers of tax relief as appropriate instruments to counteract the effects of the crisis. It should be clear that such policy measures should be tailored to the specific needs and strengths of every Member State.Public Finance, Efficiency, R&D spending, patents, innovation policy.

Evaluating the Impact of Technology Development Funds in Emerging Economies: Evidence from Latin-America

Evaluations of government Technology Development Funds (TDFs) in Argentina, Brazil, Chile and Panama are surveyed. All the evaluations were done at the recipient (firm) level using data from innovation surveys, industrial surveys, and administrative records of the granting units, together with quasi-experimental econometric techniques to minimize the effects of any selection bias. TDF effectiveness is found to depend on the financing mechanism used, on the presence of non-financial constraints, on firm-university interaction, and on the characteristics of the target beneficiaries. Four levels of potential impact were considered: R&D input additionality, behavioural additionality, increases in innovative output, and improvements in performance. The evidence suggests that TDF do not crowd out private investment and that they positively affect R&D intensity. In addition, participation in TDF induces a more proactive attitude of beneficiary firms towards innovation activities. However, the analysis does not find much statistically significant impact on patents or new product sales and the evidence on firm performance is mixed, with positive results in terms of firm growth, but little corresponding positive impact on measures of firm productivity, possibly because the horizon over which the evaluation was conducted was too short.Innovation and R&D, Policy Evaluation

Determinants of patent citations in biotechnology: An analysis of patent influence across the industrial and organizational boundaries

The present paper extends the literature investigating key drivers leading certain patents to exert a stronger influence on the subsequent technological developments (inventions) than other ones. We investigated six key determinants, as (i) the use of scientific knowledge, (ii) the breadth of the technological base, (iii) the existence of collaboration in patent development, (iv) the number of claims, (v) the scope, and (vi) the novelty, and how the effect of these determinants varies when patent influence—as measured by the number of forward citations the patent received—is distinguished as within and across the industrial and organizational boundaries. We conducted an empirical analysis on a sample of 5671 patents granted to 293 US biotechnology firms from 1976 to 2003. Results reveal that the contribution of the determinants to patent influence differs across the domains that are identified by the industrial and organizational boundaries. Findings, for example, show that the use of scientific knowledge negatively affects patent influence outside the biotechnology industry, while it positively contributes to make a patent more relevant for the assignee's subsequent technological developments. In addition, the broader the scope of a patent the higher the number of citations the patent receives from subsequent non-biotechnology patents. This relationship is inverted U-shaped when considering the influence of a patent on inventions granted to other organizations than the patent's assignee. Finally, the novelty of a patent is inverted-U related with the influence the patent exerts on the subsequent inventions granted across the industrial and organizational boundaries

Models of financing research: public funding mechanisms for universities in Flanders

This paper gives an overview of the models of financing research at universities in Flanders, Belgium. The Flemish government installed parallel mechanisms to distribute financial means for scientific research at the universities: research is supported via the allocation of block grants to the universities based on specific interuniversity allocation keys on the one hand and via project-based funding allocated on competitive basis by public funding agencies on the other hand. The composition of the allocation key of both the Special Research Fund and the Industrial Research Fund and the impact of the research performance-based parameters of these allocation keys on the research policy of universities and on the peer-reviewed assessment of the quality of research proposals submitted to the Fund for Scientific Research – Flanders, one of the Flemish public funding agencies, are discussed