Mathematical modelling as a tool to aid R&D investment decisions in a sustainable development policy climate

By its very nature, investment in R&D is a challenging proposition. It is a decision made today for an uncertain return in the future. Moreover, it has become more complex with the introduction of sustainable development considerations into the decision-making process. In this paper, the effect of environmental policy on the economic framework within which new technologies must compete is discussed, and analytical techniques which help assess these complexities are described. The return on an R&D investment is determined by the competitiveness of the resultant innovation at the time of its eventual application. A new technology is competitive relative to a given economic framework (which includes such factors as alternative technologies, availability of investment capital, trained human resources, etc).Government involvement in establishing goals and timetables for environmental protection signficantly affects the evolution of the economic framework in which new technologies must perform. To be successful in the 'sustainable development' age, the R&D investor must be able to anticipate the effect and development of government environmental and economic policy. Mathematical modelling is a valuable tool to help the investor and policy-maker appreciate the key risk factors and to understand the effect of environmental and economic policy on desired outcomes. For R&D, most model development has focused on policy development and is not very useful supporting the business decisions msociated with effective R&D investment. In this paper, the interaction bebeen government policy and business decision-making is discussed, and a methodology, supported by a model, is presented to aid R&D investors to take environmental and sustainabilip issues into account when assessing the future competitiveness of technology.     

An empirical analysis of firm process and product patenting

This paper presents an empriical study of the determinants of firm patenting. Since industrial research and development (R&D) encompasses a variety of activities, this study distinguishes between patents on process innovations and patents on product innovations. The property rights provided by a patent may differ between process and product patents, which suggests that the determinants of process innovations and product innovations may difer as well.

Several recent studies have distinguished between research directed toward process innovations and research directed toward product innovations. Scherer (1983a) included measures of process R&D spending and product R&D spending in regressions for inter-industry differences in productivity growth. Link and Lunn (1984) found that the returns to process-related R&D activity exceed the returns to product-related R&D activity. Link (1982) found inter-firm differences in the allocation of R&D spending for process innovations and product innovations. Lunn (1986) found differences in the determinants, as well as the effects, of process patenting and product patenting at the industry level. This paper examines whether the determinants of product and process patenting differ at the firm level.     

BIG data – BIG gains? Understanding the link between big data analytics and innovation

ABSTRACT

This paper analyzes the relationship between firms' use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms' innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likelihood of a firm becoming a product innovator as well as for the market success of product innovations. These results hold for the manufacturing as well as for the service sector but are contingent on firms' investment in IT-specific skills. Overall, the results support the view that big data analytics have the potential to enable innovation.     

The impact of process innovations on firm's productivity growth: the case of Spain

The main aim of this paper is to investigate about the effect that a measure of the process innovation performance of a firm has on its labour productivity growth. This analysis is mainly a consequence of two considerations. The first one results from a clear differentiation of the role that product and process innovations have on a firm's performance. The second one is to assume that the knowledge capital of a firm is mainly composed by its successful research. The study demonstrates that process innovation has a positive and significant effect on firm's productivity growth. Moreover, this result is robust under a wide range of alternative specifications and, in any case, the variable behaves much better than R&D intensity. Following previous research, the detected quadratic relationship between vertical product differentiation and process innovation performance leads to the existence of some firms for which there exist a trade–off between quality and productivity.     

Persistence and economic effects of technological innovations: a dynamic and sequential analysis of Uruguayan manufacturing firms

This paper analyzes the long-term relationship between research and development (R&D), innovations and productivity in 400 Uruguayan manufacturing firms during the period 2001–2009 based on a modified version of the structural model of Crepon, Duguet and Mairesse. The paper also analyzes thoroughly the decision of these firms to engage in R&D activities by using a novel categorical dependent variable, which takes three values: non-performance R&D activities, occasional performance or continuous performance over the period. Furthermore, the study investigates whether these manufacturing ?rms innovate persistently or discontinuously over the period. The results suggest a positive link between the intensity of R&D activities and the generation of product and process innovations. They also indicate that innovation probability is temporally persistent at the ?rm-level only for product innovations. Finally, the empirical findings reveal that these technological innovations have a positive effect on firm’s productivity.     

Research,Innovation And Productivi[Ty: An Econometric Analysis At The Firm Level

This paper studies the links between productivity, innovation and research at the firm level. We introduce three new features: (i) A structural model that explains productivity by innovation output, and innovation output by research investment: (ii) New data on French manufacturing firms, including the number of European patents and the percentage share of innovative sales, as well as firm-level demand pull and technology push indicators; (iii) Econometric methods which correct for selectivity and simultaneity biases and take into account the statistical features of the available data: only a small proportion of firms engage in research activities and/or apply for patents; productivity, innovation and research are endogenously determined; research investment and capital are truncated variables, patents are count data and innovative sales are interval data.

We find that using the more widespread methods, and the more usual data and model specification, may lead to sensibly different estimates. We find in particular that simultaneity tends to interact with selectivity, and that both sources of biases must be taken into account together. However our main results are consistent with many of the stylized facts of the empirical literature. The probability of engaging in research (R&D) for a firm increases with its size (number of employees), its market share and diversification, and with the demand pull and technology push indicators. The research effort (R&D capital intensity) of a firm engaged in research increases with the same variables, except for size (its research capital being strictly proportional to size). The firm innovation output, as measured by patent numbers or innovative sales, rises with its research effort and with the demand pull and technology indicators, either directly or indirectly through their effects on research. Finally, firm productivity correlates positively with a higher innovation output, even when controlling for the skill composition of labor as well as for physical capital intensity.     

The nonlinear effects of firm size on innovation: an empirical investigation

ABSTRACT

In conventional studies, large firms tend to emphasize more on process innovation than product innovation. This paper explores factors that could indicate a distinct pattern of firms’ innovation-size relationship: threshold size that implies a positive effect of firm size on the probability of product innovation success; cannibalization effect that creates incentives for large firms to favor product innovations; and financial constraints that have differential effects given different firm sizes. A hypothesis about a non-monotonic relationship between the proportion of product innovation and firm size is tested with nonlinear and dynamic econometric models. For the large firms, empirical evidence shows product innovations result in an overall larger share of new products in total sales, relative to existing products in which process innovations are rooted.     

THE IMPACT OF EXPORTING AND FOREIGN DIRECT INVESTMENT ON PRODUCT INNOVATION: EVIDENCE FROM CHINESE MANUFACTURERS

To understand the drivers of product innovation at the firm level, I compare the effects of foreign direct investment (FDI) and exporting on product innovation using a rich firm‐level database of manufacturing and industrial enterprises. The article focuses on product innovation, as it is vital to economic development. Estimates from linear regressions and propensity score matching tests show that learning‐by‐exporting is a stronger predictor of product innovation. Firms that receive foreign investment also tend to engage in more product innovation, but not at the same level as the firms that export. Additional tests confirm that as they start and stop exporting, firms change their patterns of investment in the drivers of product innovation—fixed capital and research. (JEL D22, F14, F23, L25, O31)     

R&D Investments, Information and Strategy

This paper argues that firms can best realize the value of their investments in R&D by exploiting the associated information asymmetries. Attention is directed away from the physical results of R&D and towards the firm's ability, more generally, to earn rents from the private information emanating from its R&D. Four strategies may be used to exploit the information asymmetries from R&D: (1) publish the details of the innovation in return for legal protection; (2) keep the information inside the firm; (3) make the information selectively, informally available to others; and (4) disseminate the information as widely and rapidly as possible. To implement these strategies, resources may be allocated both to the commercial development of new technologies, and/or to related market opportunities (investing in other companies, assets and technologies). Of critical importance are the innovator's own skills and resources in effectively gathering, understanding, and commercially exploiting R&D-generated information asymmetries, both internally and in relation to other firms. This study should yield new insights to managers in designing strategies (and counter-strategies) to position themselves not only at the technological edge, but more fundamentally, at the 'information edge'.     

Succeeding in innovation: key insights on the role of R&D and technological acquisition drawn from company data

This paper discusses the relationship between a company’s investment in innovation and its success in introducing new product and/or process innovations. In doing so, this analysis departs from the standard approach which puts forward a homogenous R&D-based knowledge production function by introducing different types of innovation investments (R&D and technology acquisition) for different sets of companies. Using the Community Innovation Survey (CIS) dataset comprising more than 3,000 Italian manufacturing companies, the econometric analysis adopts a set of techniques which allows to control for the sample selection, endogeneity and simultaneity problems which arise when dealing with CIS data. The main findings are summarised as follows: (1) beyond the acknowledged effect of R&D in increasing the probability of success of product innovation, a larger-than-expected role is played by technology acquisition in the innovation process; (2) the relative importance of R&D and technology acquisition varies significantly across different types of companies where crucial dimensions of analysis are company size and the technological domain of a sector.     

Innovation and performance – evidence at micro level

This empirical study aims to shed light on the link between innovation and economic performance at micro level. Based on a comprehensive survey among dairy and crop farms in the Netherlands we estimate a structural multi-stage model to deliver evidence on the effect of engagement and investment in innovation on the production of product, process and organizational or marketing innovations as well as on the effect of such innovations on farm level productivity. The results suggest various market and farm behaviour related factors to stimulate an increase in innovation engagement and production. Furthermore, the study reveals that indeed a greater innovation investment per unit (innovation input) leads to a higher probability of producing at least one successful product, process and/or organizational or marketing innovation (innovation output). The production of process and organizational or marketing related innovation leads to significant productivity gains. Various recommendations towards a more effective and efficient innovation policy are finally given.     

Endogenous product versus process innovation and a firm’s propensity to export

This article provides an empirical analysis of the effects of new product versus process innovations on export propensity at the firm level. Product innovation is a key factor for successful market entry in models of creative destruction and Schumpeterian growth. Process innovation helps securing a firm’s market position given the characteristics of its product supply. Both modes of innovation are expected to raise a firm’s propensity to export. According to new trade theory, we conjecture that product innovation is relatively more important in that regard. We investigate these hypotheses in a rich survey panel data set with information about new innovations of either type. With a set of indicators regarding innovation motives and impediments and continuous variables at the firm and industry level at hand, we may determine the probability of launching new innovations and their impact on export propensity at the firm level through a double treatment approach.     

Technological and non-technological innovation and productivity in services vis-à-vis manufacturing sectors

In this paper, the links between investment in innovation activities, innovation outputs (technological and non-technological innovation) and productivity in services vis-à-vis the manufacturing sector are explored using innovation survey data from Uruguay. The size of firms, their cooperation in R&D activities, the use of public financial support, patent protection and the use of market sources of information are very important drivers of the decision to invest in innovation activities across sectors. The main determinants of technological and non-technological innovations are the level of investment in innovation activities and the size of the firm. The results indicate that both technological and non-technological innovations are positively associated to productivity gains in services, but non-technological innovations have a more important role. The reverse happens for manufacturing, where technological innovations are more relevant for productivity.     

International patent analysis as a tool for corporate technology analysis and planning

New, techniques of international patent anabsis are illustrated and resultsfrom preliminary validity tests of these techniques are presented. Indicators of technological activity, technological significance and commercial potential are constructed, and used to analyze fiber-based opto-electronic couplers and monoclonal-antibody-based diagnostic kits at the levels o f the technology, nation and firm. The international patent indicators are found to be closely correlated with R&D expenditures, scientific publications and new product introductions. They also relate to these indicators in ways that moke sense as specified in simple regression models of the innovation process. Comparisons of patent analysis results with expert opinion (for two process technologies) reveal that technology-level analyzes conform quite well with expert opinion, but national - and firm-level analyes vary from a low to a modest correlation with expert opinion. The authors conclude that the techniques can provide important information for corporate technology management, but that studies of additional technologies and further validity tests are needed.     

Complementarity between product and process innovation in a monopoly setting

In this article we study complementarity between market-enhancing product innovation and cost-reducing process innovation in a monopoly setting. First, we consider the possibility for a firm to alternatively invest only along one of the two directions and compare the incentives of process vs. product innovation. Then, we allow the firm to invest simultaneously in both activities, showing that both investment levels and profit are higher than in the case of individual investment. Thus, product and process innovations are complementary, and the firm always prefers the simultaneous adoption of both activities.     

The Dark Matter of Innovation: Design and Innovative Performance in Dutch Manufacturing

This paper focuses on the impact of expenditures on design on the innovative performance of Dutch manufacturing firms. The competitive advantage of a firm often depends on its ability to innovate. Past research has shown that investments in research and development (R&D) can play a key role in stimulating innovation, yet relatively few studies have examined the impact of expenditures on design on innovative performance. Using a database containing 2010 firms from the Netherlands, this paper explores the association between expenditures on design and product innovation, highlighting the importance of the new range of 'downstream' innovation activities for understanding innovation performance.     

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.     

Domestic and international competitive focus, technology strategy and company performance: an empirical analysis

This study empirically explores the association of a firm's approach to domestic and international operations with its technological choices and financial performance. The technological choices examined unclude the following: commitment to leading the creation of new technologies: emphasis on internal and external sources of technology: capital spending for technological pursuits: R&D investments. Cluster analysis of data from 180 US electronics firms produced four clusters of international and domestic operations. These clusters exhibited variaions in companies' technological choices and in the associations between technology variables and company financial performance. The results help to identify viable technolgical choices under different combinations of domestic and international competition.     

High-growth versus declining firms: the differential impact of human capital and R&D

We provide evidence that both human capital and R&D increase the likelihood that a firm will be a high-growth firm in the industry. However, different from human capital, being an R&D active firm also increases the probability of substantial decline or failure, underscoring the risky nature of innovation. Quantile regression results show that, different from R&D, human capital is growth-enhancing for all firms, hence also those located in the lower quantiles of the distribution of growth rates across firms.