Innovation and productivity in the food vs. the high-tech manufacturing sector

ABSTRACT

The food sector is considered a mature industry characterized by low research and development (R&D) intensity. Nevertheless, food companies face numerous challenges and cannot do without innovation activity if they want to keep their competitiveness. In this study, we examine the impact of innovation on labor productivity in European food companies and compare it to results for firms operating in high-tech sectors. The central motivation of our study is that the low R&D intensity observed in the food sector should be mirrored in different productivity effects of innovation when compared to the high-tech sector. We use microdata from the European Union's ‘Community Innovation Survey’ (CIS) and apply an endogeneity-robust multi-stage model that has been applied by various recent studies. Our results point out major differences between the examined subsectors. While we find strong positive effects of innovation on labor productivity for food firms, we find insignificant effects in the high-tech sector. This might suggest that the returns to innovation might be best evaluated separately by sector rather than for the manufacturing sector as a whole.     

R&D, patents and stock return volatility

Recent finance literature highlights the role of technological change in increasing firm specific (idiosyncratic) and aggregate stock return volatility, yet innovation data is not used in these analyses, leaving the direct relationship between innovation and stock return volatility untested. The paper investigates the relationship between volatility and innovation using firm level patent data. The analysis builds on the empirical work by Mazzucato (Rev Econ Dyn 5:318–345, 2002; J Evol Econ 13(5):491–512, 2003) where it is found that stock return volatility is highest during periods in the industry life-cycle when innovation is the most ‘radical’. In this paper we ask whether firms which invest more in innovation (more R&D and more patents) and/or which have more important innovations (patents with more citations) experience more volatility in their returns. Given that returns should in theory be higher, on average, for higher risk stocks, we also look at the effect of innovation on the level of returns. To take into account the competition between firms within industries, firm returns and volatility are measured relative to the industry average. We focus the analysis on firms in the pharmaceutical industry between 1974 and 1999. Results suggest that there is a positive and significant relationship between volatility, R&D intensity and the various patent related measures—especially when the innovation measures are filtered to distinguish the very innovative firms from the less innovate ones.     

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.     

The struggle to survive in the R&D sector: Implications for innovation and growth

By allowing for investment activities by research and development (R&D) firms to prevent product obsolescence, we show that if legal patent protection is too strong, a higher R&D subsidy rate delivers insufficient investments for survival in the R&D sector, depressing innovation and growth in the long run.     

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.     

GENERAL PUBLIC LICENSING AND THE INTENSITY OF AGGREGATE SOFTWARE DEVELOPMENT

We develop a theoretical model in which the sophistication of technologies improves over time due to research and development (R&D) undertaken by software developers in two sectors. In the commercial sector, R&D intensity is driven by economic incentives, whereas in the sector using the General Public License (GPL), it is driven by the preference-based labor supply of individuals. A higher amount of GPL labor allocation generates equilibrium effects that adversely affect commercial software development. When the degree of imitation in the GPL sector is relatively higher than in the commercial sector, or the commercial sector has increasing returns of a limited degree, the R&D intensity in the commercial sector would decline by more than any increases in R&D intensity in the GPL sector. Thus, aggregate R&D intensity in the long run would be reduced. Numerical simulation indicates that this outcome pertains under realistic parameter ranges.     

Role of human resource practices in absorptive capacity and R&amp;D cooperation

This paper reconceptualises absorptive capacity as a strategic human resource construct and analyses its role in determining R&D cooperation and innovation in firms. In spite of widespread consensus on the role of absorptive capacity in innovation, the literature has so far concentrated only on traditional R&D and human capital based indicators of absorptive capacity. Furthermore, most firm-level studies investigating this relationship are cross-sectional in nature and there is need for longitudinal evidence. Employing the IAB Establishment Panel Survey on about 1200 private sector establishments in Germany during 2007–2011, we apply a structural model that links firms’ human resource practices, R&D collaboration strategies and finally their innovation outcome. Findings from the first stage of the empirical analysis suggest that adoption of employment practices positively affects horizontal, institutional and consulting-based R&D cooperation, while compensation programs positively affect only horizontal R&D cooperation. In the second stage, the effect of cooperative R&D conditioned upon human resource practices on innovation performance is examined. Results indicate that firms having institutional and consulting-based R&D cooperation relationships are more often associated with higher incremental product, process and new-to-market innovation, whereas the effect is relatively weaker in case of horizontal R&D cooperation.     

Product innovation: testing the relative influence of industry,institutional context and firm factors

This article analyses the influence of industry characteristics (concentration and technological opportunity), the institutional framework (social capital and spillovers from the public sector) and some firm factors (external and internal R&D) on product innovation in a unique integrated framework. Based on a sample of Spanish industrial firms, these variables were found to be positively related to firms’ product innovation. Also, results show that in institutional environments with significant levels of social capital and spillovers, firms change their innovation strategy focusing on external R&D.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

Innovation and productivity in family firms: evidence from a sample of European firms

ABSTRACT

Using firm-level data, we estimate the returns to R&D investments for a sample of European manufacturing firms over the period 2007–2009. Results confirm that R&D efforts are positively related to productivity regardless of firm type (family or nonfamily firms). Additionally, we find that family firms invested more in R&D than nonfamily firms, but the returns to their R&D investments are low, emphasizing that they have a lower capacity to translate R&D investments into economic gains.     

Innovation in R&D service firms: evidence from the UK

Research and Development (R&D) service firms make significant contributions to innovation in other businesses. The extant literature considers these firms a homogenous sub-group of Knowledge Intensive Business Service firms (KIBS). The objective of this study is to investigate how R&D service firms innovate and the variety of innovation practices within these firms. Employing data from semi-structured interviews with senior managers from 32 UK-based R&D service firms, we suggest that there are two different modes of innovation: in the first mode, R&D service firms innovate similarly to KIBS whose innovation is ad-hoc in nature and driven by customers’ requests; another group of R&D service firms innovate like New Technology-based Firms (NTBFs) relying more on structured in-house R&D activities.     

Does Firm Size make a Difference? Analysing the Effectiveness of R&D Subsidies in East Germany

We analyse the impact of public subsidies on private sector research and development (R&D) activity for a sample of East German firms. Using propensity score matching, our empirical results indicate that subsidized firms indeed show a higher level of R&D intensity (R&D expenditures relative to total turnover) and a higher probability for patent application compared with non‐subsidized firms. We find that, on average, the R&D intensity increases from 1.5% to 3.9%. The probability of patent application rises from 20% to 40%. These results closely match earlier empirical findings for East Germany. Given the fact that the East German innovation system is particularly driven by small‐ and medium‐sized enterprises (SMEs), we draw special attention to the effectiveness of R&D subsidies for this latter subgroup. Here, no specific empirical evidence is available so far. Our findings indicate that policy effectiveness also holds for private R&D activity of SMEs, with the highest increase in terms of R&D intensity being estimated for microbusinesses with up to ten employees.     

Hidden innovators: the role of non-R&D activities

Although R&D has been highlighted as the main source of firm-level innovations, a significant group of firms develop innovations without performing R&D activities. The primary goal of this study is to understand the sources of innovation in such firms. To accomplish this goal, we explore the role played by other, non-R&D activities that can lead to innovation – activities such as technology forecasting, design, use of advanced manufacturing technologies and training. Our empirical analysis is based on a representative panel of Spanish manufacturing firms. The results strongly support the view that non-R&D activities are critical factors in explaining both product and process innovations attained by any firm, especially in the case of firms not performing R&D. Academic, managerial, and policy implications are derived from these results.     

Assessment of innovative software technology: developing an end-user-initiated interface design strategy

Knowledge intensive services and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier (universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations carried out with information from a survey of innovative firms in the region of Valencia in Spain. First, the results show that firm size and age matter in the decision to buy R&D services. Second, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. Third, innovation policy has a significant influence on the decision to acquire R&D services, particularly from universities and technology centres.     

FROM DIRECT SUPPORT OF BUSINESS SECTOR R&D/INNOVATION TO TARGETING VENTURE CAPITAL/PRIVATE EQUITY: A CATCHING-UP INNOVATION AND TECHNOLOGY POLICY LIFE CYCLE PERSPECTIVE

The paper presents a generic, three-phase innovation and technology policy (ITP) model which, in a number of contexts, could lead to the successful rise of venture capital (VC) or related equity-based support and finance systems for innovative SMEs both in high- and non-high-tech sectors. There has been increasing recognition that such systems could facilitate country attempts at latching into the ICT revolution, catching-up and deepening of R&D/Innovation; and for facilitating the transition to a knowledge/learning economy. Whereas the model is inspired by the successful Israeli experience during the 1969–2000 period, the other examples referred to in the paper suggest that it is adaptable to other contexts as well. A critical analytical point is whether, in the wake of direct government support of business sector (BS) R&D/Innovation (Phase 1), conditions will emerge for the successful emergence of VC or related industries in Phase 3 (and, whenever necessary, for the successful policy targeting of such industries). These are termed Phase 2 conditions; and the paper refers to three Phase 2 profiles: the Israeli profile; the Chilean profile; and a third ‘strategic’ profile, which seems to have been adopted by Korea. The analysis strongly suggests that a multiphase ITP model could be an important analytical tool both for policy analysis and for policy making. Over and beyond its emphasis on the dynamic links between direct Government support of BS R&D/innovation and subsequent policies directed to VC, the paper also shows that policy could be subject to increasing rather than to decreasing returns.     

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.     

The interdependence between FDI and R&D: an application of an endogenous switching model to Taiwan's electronics industry

Foreign direct investment (FDI) and research & development (R&D) are mutually dependent and should be treated as endogenous variables in empirical studies. An endogenous switching regression model is used to examine the mutual effect of FDI and R&D in Taiwan's electronics industry. The empirical results show that FDI and R&D are positively related and do reinforce each other. Unbiased coefficients are obtained as they are compared to those estimates if FDI and R&D are treated as exogenous variables. The results have a strong public policy implication for Taiwan's foreign direct investment and can be further used to estimate the difference in R&D expenditures between FDI and non-FDI firms.     

What drives the choice of the type of partner in R&D cooperation? Evidence for Spanish manufactures and services

We analyse the heterogeneity in firms’ decisions to engage in R&D cooperation, taking into account the type of partner (competitors, suppliers or customers, and research institutions) and the sector to which the firm belongs (manufactures or services). We use information from the Technological Innovation Panel (PITEC) for Spanish firms and estimate multivariate probit models corrected for endogeneity which explicitly consider the interrelations between the different R&D cooperation strategies. We find that placing a higher importance to publicly available information (incoming spillovers), receiving public funding and firm size increase the probability of cooperation with all kind of partners but the role is much stronger in the case of cooperative agreements with research institutions and universities. Our results also suggest that R&D intensity and the importance attributed to the lack of qualified personnel as a factor hampering innovation are key factors influencing positively R&D cooperation activities in the service sector but not in manufactures.     

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.     

Innovation,exports, productivity and investment climate; a study based on Indian manufacturing firm-level data

In this paper, we use univariate instrumental estimations to study the interactions between firm-level innovation, exports and productivity in the Indian manufacturing sector. To differentiate incentives to innovate from the ability to innovate, we distinguish the inputs of innovation (R&D and training) from the outputs. Our findings highlight a virtuous circle between the three components of innovation, as well as between firms’ R&D, innovation and exports. The productivity of Indian manufacturing firms is benefiting from this dynamics, as exports and innovation improve firms’ TFP. With respect to the investment climate, our results suggest that differences in the environment of Indian companies contribute to their performance gaps. These results are all the more important in the context of the Make in India campaign and the weaknesses of India’s business environment.