R&D subsidies and productivity in eastern European countries

This paper shows that R&D subsidy policies at the European Union (EU) and national levels stimulated labor productivity in Central and Eastern European countries (CEEC) in the years after their entry to the EU. However, the average impact of national funding on labor productivity was higher for countries in the Western control group than in the CEEC sample. EU R&D subsidies compensated the CEEC in part for the greater innovation impact of Western economies. Although they crowded out some R&D subsidies by local governments at the country level, the EU subsidies crowded in many national and local subsidies at the firm level. Local/regional state innovation aid to enterprises encouraged no increase in labor productivity in all but one of the sample CEEC countries. These impacts are assessed in a sequential structural econometric model estimated using Eurostat’s collection of Community Innovation Surveys covering the years 2006–2014.     

Myth or reality? Assessing the moderating role of CEO compensation on the momentum of innovation in R&D

This study researches the influences of CEO compensation on firm behavior to examine the interactive relationship between the behavioral momentum of innovation in R&D and CEO compensation. The models presented in this study are based on evolutionary, institutional, and agency theories to test hypotheses using data from 107 companies in the high-technology sectors in the United States. The results indicate that the pre-succession innovative behavior of these high-technology firms on R&D can positively affect these firms' post-succession innovative behavior towards R&D. That is, positive momentum in R&D innovation prevails in a firm across a change of the CEO. However, for the role of CEO compensation, short- and long-term compensation does not positively moderate this behavioral momentum in R&D. Hence, the moderating impact of short- and long-term CEO compensation to enhance the momentum of innovation in R&D can be romanticized. These findings provide boards of directors with evidence as to how a CEO succession matters to a firm's behavioral momentum in R&D, and whether CEO compensation can be strategized to change a firm's innovation and momentous behavior.     

Modes of innovation,resources and their influence on product innovation: Empirical evidence from R&D active firms in Norway

Evolutionary theory of the firm argues that firms follow different approaches to innovation with implications for their performance. Consistent with evolutionary theory, this paper develops a taxonomy of innovation modes which capture the variation in firms' approaches to product innovation. The taxonomy is based on the open/closed innovation and exploration/exploitation literatures and identifies the following modes: “Open exploration”, “closed exploration” “open exploitation”, and “closed exploitation”. The paper theorizes that the identified innovation modes influence product innovation through their effect on the firms' technological and market resources. Using survey data from over 1000 R&D active firms in Norway analyzed with structural equation modelling it is shown how four modes of innovation are related to actual product innovation.     

Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers

This paper attempts to use an integrated theory based on the framework of a firm's internal and external sources of knowledge to analyze how R&D activities differ in innovation from non-R&D activities, especially in the context of low and medium-low tech (LMT) sectors where most of the firms are SMEs. Simultaneously, the paper also explores the key differences between R&D and non-R&D innovators. The empirical analysis is based on a representative panel of 2023 Spanish manufacturing firms from the Spanish Ministry of Industry for 2005 and 2006. Innovation in product and process is explained using non-R&D variables such as marketing, design or the hiring of tertiary degree employees. Only innovation in product is explained by R&D expenditures. Regarding innovation in process, the R&D variables work in a few specific cases. Therefore, innovation can be explained using non-R&D variables. The firms with more internal resources, those which conduct R&D activities, present a better absorptive capacity (AC) and this leads them to engage in cooperation agreements and to access external flows of knowledge. The paper has important implications for policymakers due to the fact that most policies for R&D are based just on R&D programmes.     

Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach

This paper employs a Russell multi-activity network DEA model and divides the overall innovation process into the upstream Research and Development (R&D) process and the downstream commercialization process to appraise the innovation performance of China's high-tech industries from 2009 to 2013. This model can deal with the problems of intermediates, shared inputs and slack-based measure in a unified framework, and the result can provide policy makers with process-specific information on how to improve the innovation performance of China's high-tech industries. The main findings are presented as follows. First, the overall efficiency of China's high-tech industries still remains at a low level, which has its roots mainly in commercialization inefficiencies other than R&D inefficiencies. Second, for most provinces, their R&D efficiencies do not match up with their commercialization efficiencies. Finally, the innovative activities of China's high-tech industries should be driven by the market demand -oriented for the improvement of innovation efficiency.     

External linkages and product innovation in small manufacturing firms

The requirement for small firms to collaborate, as a means to supplementing and complementing limited internal resources, has dominated much of the academic and policy debate on regional development and small firm innovation throughout the late 1980s and 1990s. However, relatively little empirical work has sought to look further than simple frequency enumeration - noting that the most innovative and better performing firms are generally more likely to have links with external organizations. Based upon a sample of 228 small West Midlands' manufacturers, this study considers the source, function, geography and strength of innovation-related co-operation. While the general findings point to innovators making greater use of external linkages, of certain types and in particular directions (notably the preponderance of vertical value chain linkages), the results are less emphatic than might have been anticipated. This leads to consideration of the factors contributing to and impeding joint innovation and the firms' perceptions of the impact of innovation. From this, it appears that much of the observed difference between innovators and non-innovators lies in less objective measures. The data suggest the importance of inter-personal dynamics, attitude and expectations in facilitating successful collaboration.     

The effect of R&D novelty and openness decision on firms' catch-up performance: Empirical evidence from China

This paper explores the strategic dimensions of R&D decisions toward novelty and openness in explaining the performance of latecomer firms in a developing economy. A structural equation model of R&D decision-making is formulated using survey data from 279 Chinese firms. The dimension of R&D novelty is defined as the degree of technological newness found in firms' R&D projects, while R&D openness describes the degree to which technologies are acquired from external sources. Our results indicate that firms' R&D decisions regarding novelty and openness are associated with demand opportunities, market competition, technological capability, and external networks. Greater R&D novelty contributes positively to innovative output but does not affect sales growth. Greater R&D openness contributes positively to sales growth but negatively to innovative output.     

Externalities of R&D Expenditures

Innovation is generally recognized as a major source of economic growth. R&D investments explicitly aim at generating innovations and creating knowledge. Since knowledge has certain public good properties, positive externalities are likely to exist. In this paper, we extend well-known concepts from the input-output literature (backward multipliers) to indicate at which commodities stimuli should be targeted to enhance R&D and its positive externalities in the economy as a whole. Next, we argue that there may also be negative externalities of R&D, due to increased prices. This issue can be studied by means of forward multipliers. Both concepts are applied to the United States, 1977-90.     

The R&D knowledge base in city-agglomerations and knowledge searching in product innovative SMEs

ABSTRACT

This paper looks at the relation between the R&D knowledge base of city-agglomerations and knowledge sourcing in product innovative small and medium-sized enterprises (SMEs). The small open Belgian economy is used as a test case. The characteristics of the city-agglomeration’s R&D knowledge are posited to be instrumental for SMEs’ reliance on particular sources of information for innovation. The R&D knowledge base is studied as a multidimensional concept consisting of R&D capacity, R&D specialization and R&D diversification. A representative sample of product innovative SMEs drawn from two waves of the Community Innovation Survey between 2008 and 2012 reveals that a strong R&D capacity at city-agglomeration level favours private external information sources for innovation, but has no influence on the likelihood to rely on public sources for innovation. Accordance between specialization of the private R&D knowledge base and the SME’s activities positively influences the use of clients as information sources for innovation, whereas under these circumstances supplier responsiveness turns out to be less frequently solicited for. A more diversified private R&D environment reduces the reliance on universities and public research organizations as information sources for innovation. A public R&D knowledge base specialized in natural sciences or engineering favours information sources from universities.     

Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Imputed Interindustry Technology Flows - A Comparative SMFA Analysis

This paper shows how the pattern of an interindustry R&D flow system can be detected using a Subsystem-MFA (SMFA). The standard subsystem analysis shows the innovation spillovers of the relevant innovative sectors of a country, which are then turned into graphical form so that the sector clustering into this system can be displayed like a 'molecule' of sectors. The analysis uses the recently published input-output tables of the OECD for Germany, Japan and the United States for the beginning, the middle and the end of the 1980s. The analysis uses R&D-expenditures as an innovation-indicatorvector, published also by the OECD. The results show that there are specific patterns of interindustry imputed R&D flows that differ to some extent between the given countries. These differences can be interpreted as being due to the specific economic history of these countries.     

Policies to benefit from the globalization of corporate R&D: An exploratory study for EU countries

This article explores how the globalization of corporate R&D has led to the emergence of new policy strategies across the EU, involving a more proactive role of governments and a closer connection between innovation policies and FDI promotion policies. The first part presents an analytical framework encompassing the main policy objectives and instruments at stake, which aims at facilitating the design and evaluation of policies geared towards the globalization of corporate R&D. Both the policies to attract inward FDI in R&D and those towards R&D offshoring are addressed, as well as the distinct policy implications of alternative entry modes. The second part provides evidence of the evolution of European policies in response to the globalization of corporate R&D, pointing out a set of country-specific examples and suggesting avenues for policy intervention at the EU level. Although the focus is on the EU, this study may inform policy learning in other developed and developing countries alike.     

Incentives to innovate in response to competition: The role of agency costs

This paper investigates the role of managerial ownership and incentive payment as potential drivers of innovation decisions by firms and as shifters of the competition-innovation link in the Russian manufacturing industry, where poorly protected property rights and a path-dependent market structure (typical for many transition economies) lead to a variety of outcomes. We use recent survey-based microdata for nearly 2000 non-listed companies in Russia. Our results suggest that managerial ownership, which initially evolved as a means of protecting against and resisting dysfunctional institutions, may stimulate decisions to undertake R&D and risky product innovations. Further, managerial ownership and competition are complementary motivations for R&D and innovation. Incentive payment to hired managers is a positive commitment instrument but has no impact on the competition-innovation link.     

Learning from R&D outsourcing vs. learning by R&D outsourcing

We analyze how research and development (R&D) outsourcing influences product innovation. We propose a separation between learning from R&D outsourcing, whereby the firm improves its ability to innovate by using outsourced R&D directly in new products, from learning by R&D outsourcing, whereby the firm indirectly uses outsourced R&D by integrating it with internal R&D to create new products. Building on the knowledge-based view, we argue that learning from R&D outsourcing is likely to have an inverse U-shaped relationship with product innovation, because the initial benefits of using outsourced component R&D knowledge to innovate products is eventually outweighed by the hollowing out of the firm's ability to innovate. In contrast, we propose that learning by R&D outsourcing is likely to have a U-shaped relationship with product innovation, because the initial challenges of integrating internal and external R&D are eventually overcome, resulting in more innovations. Finally, we distinguish between domestic and foreign R&D outsourcing and propose a liability of foreignness in R&D outsourcing as it has a lower impact on new products than domestic R&D outsourcing. The empirical analysis shows that outsourced R&D has an inverted U-shaped relationship with the number of new products, while the interaction between outsourced R&D and internal R&D has a U-shaped relationship with the number of new products. It also shows that domestic outsourced R&D has a higher positive impact on the number of new products than foreign outsourced R&D.     

Industry influence on firms' R&D and innovation

This paper examines the effect of peers on a firm's research and development (R&D) policy. We show that firms do not make R&D decisions in isolation, and that industry dynamics play an important role in defining a firm's R&D intensity. Using a large sample of 54,393 firm-year observations from 1991 to 2015 in the United States, we find that firms' R&D decisions are mainly driven by their industry peers' R&D policies. Moreover, we find that R&D mimicking is significant only in the presence of strong product market competition, whereas we do not find any evidence of information-based herding in R&D investments. Our additional analysis shows that our main conclusions remain valid even in the presence of financial constraints, and regardless of the firms' market positions. Finally, we provide evidence that R&D mimicking increases firms' future values, future patent outputs, and estimated patent dollar values. Our findings are robust to endogeneity concerns, and to using alternative sample compositions, R&D intensity proxies, and different industry classifications.     

The effects of public support schemes on small and medium enterprises

In this paper we will investigate the effects of direct grants and tax incentives on recipient small and medium enterprises (SMEs). Direct grants and tax incentives are two different public instruments used to correct market failure and facilitate innovation through lowering the cost of R&D. Although large and small firms innovate in different ways, so far limited empirical evidence has been reported with respect to the effectiveness of public R&D instruments for SMEs. Our data suggests that direct subsidies used alone or with tax incentives strengthen the R&D orientation of the SME as well as some aspects of innovation output and absorptive capacity. Although the effects of policy measures are significant when comparison is made to firms that did not use any of the two instruments, not much difference is found when users of direct grants are compared to those who used both the grants and the tax incentives. This result indicates the existence of limitations in the use of tax incentives by SMEs, and thus suggests that subsidies may be the primary instrument in SMEs.     

Leadership and innovation: relations between leadership,individual characteristics and the functioning of R&D teams

The main focus of this paper is the functioning of R&D teams, the role of the team leader and the characteristics of individual team members. After a brief overview of recent literature on leadership and innovation, some research results are presented from a study of leadership in self-managing teams; these teams have a number of characteristics in common with R&D teams, such as dependent tasks and job autonomy. The results lead to an integrated model for the effective functioning of R&D teams, with a focus on the relations between leadership behaviour, individual characteristics, team functioning and outcome variables.     

The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry

Recent research into the clustering effect on firms has moved away from a simplistic view to a more complex approach. More realistic and complex causal relationships are now considered when analysing these territorial networks. Specifically, this paper attempts to analyse how cluster connectedness moderates the relationship of a firm's innovation effort and the results obtained from this effort. We want to question the commonly accepted direct and positive impact of R&D effort, and moreover, we suggest the existence of a saturation effect and that the level of cluster's inter-connectedness in the cluster moderates this effect. We have developed our empirical study focusing on the Spanish textile industrial cluster. This is a complex manufacturing industry that uses relatively low-technology manufacturing and R&D. Our findings suggest that the degree to which a firm is involved with, or connected to, other firms in the cluster can moderate the effect of the R&D effort on its innovation results. More generally, we aim to contribute to the discussion on the degree to which firms should be involved in the cluster network in order to operate efficiently and gain the maximum competitive advantages. Our findings have implications both in recent cluster and network literature as well for institutional policy.