R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

Measuring innovation in long product development cycle industries: an insight in biotechnology

This paper examines and measures innovation in the context of biotechnology firms by analysing the link between R&D, innovation performance and organisational growth. We conceptualise innovation performance as a latent construct with two dimensions: innovation efficacy and innovation efficiency. We use structural equations modelling to test the hypotheses on a data set from the biotechnology industry. Results support our innovation performance conceptualisation which is found to be especially useful to measure innovation in industries with long product development cycles. Findings also underline the importance of R&D knowledge creation for biotechnology firms.     

The impact of R&D subsidy on innovation: evidence from New Zealand firms

This study examines the impact of government subsidy through R&D grants on innovation output for firms in New Zealand. Using a large database that links administrative and tax data with survey data, we find that R&D grants have a stronger effect on more novel innovation (e.g. applying for a patent or introducing new products to the world) than on incremental innovation (e.g. any product innovation) and that larger, project-based grants are more effective at promoting innovation than smaller, non-project-specific grants. There is little evidence that R&D grants have differential effects between smaller (<50 employees) and larger firms.     

Pursuing a biotechnology system of innovation in Lithuania: a conceptual framework for effective policy intervention

The focus of this paper is on Lithuania, whose government released an ambitious innovation strategy to become an innovative services hub for Northern Europe by 2015, and an innovation hub by 2020. Biotechnology has been identified as a strategic sector, and whether Lithuania will be able to achieve its ambition of a fully functioning biotechnology sectoral system of innovation will be explored. With the Lithuanian government declaring that they will intervene to achieve their innovation goals, this paper argues that sound policy intervention is possible and can be done in a way that avoids the limitations of past systemic approaches. The policy approach presented is based on a modified extended industry life cycle, and the movement of system structures through three phases – background, pre-emergence and emergence – and explains how each phase lays the groundwork for transition to the next phase.     

Incorporating innovation subsidies in the CDM framework: empirical evidence from Belgium

ABSTRACT

This paper integrates innovation input and output effects of R&D subsidies into a modified Crépon–Duguet–Mairesse (CDM) model. Our results largely confirm insights of the input additionality literature, i.e. public subsidies complement private R&D investment. In addition, results point to positive output effects of both purely privately funded and subsidy-induced R&D. Furthermore, we do not find evidence of a premium or discount of subsidy-induced R&D in terms of its marginal contribution on new product sales when compared to purely privately financed R&D.     

Disentangling the effects of process and product innovation on cost and demand

ABSTRACT

We explore in this note different structural models of the impact of process and product innovation on firms' demand and production cost functions. We find that the introduction of process and product innovations affects them differently as could be expected. Both product and process innovation shift forward the demand for the products of the firm. Process innovation reduces production marginal cost, but not always. A possibility, that we cannot prove or reject with the current specification of our models and available data, is that process innovation associated with product innovation raise marginal cost. Interestingly, we also find that advertising significantly augments demand but does not affect production marginal cost. To obtain broader conclusions, richer data will be needed allowing an enlargement of the model, in which process and product innovations could be specified distinctively and well identified.     

Multistage R&D competition and patent policy

In this paper a model of multistage R&D patent policy is investigated. We study the impact of the duration of patent protection for intermediate products on R&D races when the discovery of the final product requires the accomplishment of an intermediate step. Using a multistage model where firms choose their levels of research investment at each stage, we find all subgame-perfect equilibria of the game. We also determine how competition affects a firm's level of research investment at different stages of the R&D competition.     

Economic policy,the new economy and the social rate of return to R&D in UK manufacturing

This article focuses on the question of whether public policy changes and/or the new economy have influenced the social returns to R&D expenditure in UK manufacturing over the three decades up to the end of the millennium. The basic methodology is reasonably straightforward, to estimate a production function in which, in addition to labour and fixed capital, R&D appears separately in a form that directly enables estimates of the social return to investment in knowledge and how it has changed over time. The results suggest that neither changes in government R&D policy nor the new economy have raised social returns to R&D.     

Firm size and types of innovation

We propose a general theory of innovation that illustrates the relative benefits of performing process versus product R&D when firm size is endogenous. A firm's size, scope, and R&D portfolio are shown to reflect the same underlying characteristic of the firm, namely manufacturing efficiency. We demonstrate that efficient firms become larger, have greater scope, and perform more of both process and product R&D. In light of decreasing returns to R&D, this implies small firms obtain more product innovations per dollar of R&D than large firms, which is consistent with evidence we present that small firms are more innovative than large firms as they obtain more patent counts and citations per dollar of R&D.     

Vertical educational diversity and innovation performance

This paper uses panel data of Swiss firms to analyse the impact of education-level diversity in the workforce on innovation performance, addressing endogeneity by exploiting within-firm variation as well as variation in labour supply across regions. We find that vertical educational diversity increases the extensive margin of R&D and product innovation, particularly new product innovation. However, the relationship with process innovation, R&D intensity, and product innovation intensity is insignificant. These results are in line with the idea that vertical educational diversity enhances the creative moment of the invention phase, while it has no effect on the commercialization phase due to the relevance of coordination and communication costs relative to the gains in creativity.     

The Damoclean tax and innovation

The paper presents a novel tax that is designed to improve the performance of research and development (R&D) investments. Ideally, the tax allows the technical efficiencies of monopoly while bringing about the desirable effects of the competitive pressure of R&D rivalry. Thus, with the tax, the state can sanction a monopoly of R&D investment in order to attain technical efficiencies and yet avoid the underinvestment in R&D that would result without competitive pressures. A critique of the tax emphasizes the problems of implementing it and offers a more practical alternative that would achieve the same desirable effects.     

Strategic R&D policy under multiproduct duopoly and quality-price competition

This paper analyses strategic R&D policy in a third-country trade model where multiproduct firms with different production technologies compete in a vertically differentiated market. I show that the optimal R&D policies for both countries are subsidies when the product market is under price competition.     

Dynamics of firm's network community associations and firm's innovation performance

ABSTRACT

R&D network structures have crucial impacts on firm's innovation performance. However, most previous studies have been based on the whole or ego network perspective, few studies have investigated the influence of community structure that a firm is engaged in on its innovation performance, and it is still unclear how a firm's relation to network community affect its innovation performance. This research aims to address this gap by focusing on the dynamics of firm's network community associations, empirically investigate the relationship between dynamics of firm's network community associations and its innovation performance. Based on the unbalanced panel data of smartphone R&D network during year 2004–2017, the results demonstrate that change in community member associations and movement across communities both have inverted-U-shaped effects on firm's innovation performance. Moreover, innovation openness depth has moderating effects on the relationships between dynamics of firm's network community associations and its innovation performance.     

Service-sector competition,innovation and R&D

The central prediction of the Aghion, Bloom, Blundell and Howitt model is an inverted U-shaped relationship between innovation and competition. The model is built on the assumption of a product market and has not yet been tested on the service sector. Using detailed firm-level data on Swedish service-sector firms, we find evidence of an inverse U-shaped relationship for exporting service-sector firms. A further breakdown of innovation expenditures shows that the inverse U-shaped pattern holds for intramural R&D and training, but not for extramural R&D. Finally, the results indicate that as competition increases, small firms tend to seek strategic alliances with competitors, whereas large firms tend to reduce collaboration with competitors. The behavior of large firms can partly be due to their superior capacity to handle innovation projects internally, which will become more important if increased competition results in higher pay-offs to innovation.     

Knowledge spillovers and R&D subsidies to new,emerging technologies

Is knowledge spillover a rationale for supporting R&D on new, emerging technologies more than R&D on other technologies? In this paper, I analyze whether innovation externalities caused only by knowledge spillovers differ between technologies of different maturity. I show that R&D should not be subsidized equally across industries when the knowledge stocks differ. This is because knowledge spillovers depend on the size of the knowledge stock and the elasticity of scale in R&D production. R&D in the emerging technology should be subsidized more when the elasticity is smaller than one. However, R&D in the mature technology should be subsidized more when the elasticity is larger than one.     

How enterprise strategies are related to innovation and productivity change: an empirical study of Japanese manufacturing firms

This study analyzes the total factor productivity of 1067 Japanese manufacturing firms. In production estimation, we employ the directional distance function and Luenberger productivity indicator. Research and development strategy survey data are used to analyze the determinant factors related to improvements in innovation and productivity. Our results indicate that increasing technology and knowledge through a ‘black box’ process is related to an increase in productivity. Furthermore, the protection and management of production knowledge and expertise is a valid method of increasing global technical change.     

R&D policy in a vertically related industry

In this paper, we analyze the effectiveness of public policy aimed to stimulate business-performed R&D in a vertically related market. We examine the role of an R&D active upstream supplier in a four-stage R&D model, where we incorporate public funding. The considered policy instrument is direct funding of firms’ R&D efforts. We calculate the optimal policies and show that they have a positive impact on firms’ R&D investments. From a welfare point of view, it is optimal to differentiate the subsidy rates between the upstream and the downstream markets. Competition in the product market leads to a higher subsidy rate to the upstream supplier than to the downstream firms. When concentration is high in the downstream market, the optimal solution is an R&D subsidy for these firms, otherwise the optimal solution is an R&D tax for the downstream firms.     

Innovation policy in China: nationally promulgated but locally implemented

In China, policies are often announced at the national level but implemented locally. Innovation policies are no exceptions. This article studies China’s 50% R&D tax deduction policy, a key innovation policy promulgated by the central government in 2006. We find that the degree to which the policy was implemented during the period of 2006–2009 varied across the provinces and industries, which in turn had significant impacts on local firms’ innovation output. The findings of the heterogeneity in local implementation of national innovation policies are of important implications for both policy makers and innovation scholars.     

Battle royal in biotechnology: R&D vs. product vs. process innovations

Companies regard innovation as a central element of their business. However, as not all innovation types are the same, the central question is: should their announcements bring about the same effect on performance? This article analyses potential differences in firm value derived from the innovation-type announcements ‘R&;D’, ‘product’, and ‘process’, made by intensive news-generating firms such as biotech companies. The empirical application shows a significantly positive reaction to innovation announcements, with the prospect of future innovation (‘R&;D’ investment announcements) having greater impact on firm value than ‘product’ and ‘process’ innovations. Firm experience also acts as a moderator in this innovation–performance relationship, which is particularly relevant for entrepreneurs who need to develop and send credible signals indicating the value of the firm's intangible assets to the market.     

Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation

Applying quantile regression to 760 Finnish firms, we show that the relationship between R&D and firm performance is less straight forward than so far assumed. OLS regression analysis fails to capture the effect of R&D expenditure at different locations on the performance distribution. We reveal that R&D matters, especially on the medium quantiles, while regressing against the upper quantiles of the economic gains from innovation distribution exhibit decreasing returns scale in R&D. Our results confirm that Gaussian statistics fail to capture the most interesting part of the distribution – namely the extreme observations located in the tails.