In-house R&D,external R&D and cooperation breadth in Spanish manufacturing firms: is there a synergistic effect on innovation outputs?

ABSTRACT

This study explores the nature of relationship between in-house R&D, external R&D and cooperation breadth and their joint impact on patent counts as well as technological, product and process, innovations in Spanish manufacturing firms. With regards to patent counts, empirical findings from a Generalized Method of Moments (GMM) estimator suggest a complementarity effect of internal and external R&D activities conditional on the breadth of R&D cooperation. Concerning technological innovation, results from dynamic random-effects probit models indicate no synergistic effects. In addition, we find evidence of persistence of all three innovation output measures. Our results suggest policy implications in relation to strengthening firms’ absorptive capacity that could have long-run effects.     

Types of cooperation partners as determinants of innovation failures

In this paper we analyse if specific R&D cooperation partners are related to an increase in the probability of innovation failures in terms discontinuing innovation projects. We distinguish between seven different R&D cooperation partner types, and we discriminate between product innovation failures and process innovation failures. Using German Community Innovation Survey data we find that, firstly, each type of R&D cooperation partner has a different effect on innovation failures. Secondly, we show that product innovation failures and process innovation failures are not affected in equal measure by the same type of R&D cooperation partner. Our results suggest that while R&D cooperation with public research institutes is significantly and negatively related to the probability to cancel a process innovation project, the coefficient is positive but insignificant for product innovation failures. Firms conducting partnerships with suppliers, however, run the risk of both product and process innovation failures. In turn, cooperation with competitors is positively correlated only to process innovation failures.     

Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms

Both research and development (R&D) and information and communication technology (ICT) investment have been identified as sources of relative innovation underperformance in Europe vis-à-vis the USA. In this article, we investigate the R&D and ICT investment at the firm level in an effort to assess their relative importance and to what extent they are complements or substitutes. We use data on a large unbalanced panel data sample of Italian manufacturing firms constructed from four consecutive waves of a survey of manufacturing firms, to estimate a version of the CDM model of R&D, innovation, and productivity [Crépon–Duguet–Mairesse 1998. Research, innovation and productivity: An econometric analysis at the firm level. Economics of Innovation and New Technology 7, no. 2: 115–58] that has been modified to include ICT investment and R&D as the two main inputs into innovation and productivity. We find that R&D and ICT are both strongly associated with innovation and productivity, with R&D being more important for innovation, and ICT investment being more important for productivity. For the median firm, rates of return to both investments are so high that they suggest considerably underinvestment in both these activities. We explore the possible complementarity between R&D and ICT in innovation and production, but find none, although we do find complementarity between R&D and worker skill in innovation.     

R&D cooperation with scientific institutions: a difference-in-difference approach

Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.     

Product innovation,process innovation and export propensity: persistence,complementarities and feedback effects in Spanish firms

Drawing on a longitudinal data of Spanish manufacturing firms, this study explores the persistence of technological innovation and exports, their potential complementary relations and feedback effects. Empirical results suggest the presence of both true and spurious state dependence in all three activities. True state dependence in technical innovation and exports implies intertemporal spillovers relevant to the evaluation of innovation and export policy measures. However, given that results also suggest spurious state dependence, firm-specific characteristics should be taken into account in promoting technological innovations and exports. In addition, we find a strong complementarity between product and process innovation both through a contemporaneous effect and via unobserved firm characteristics. However, concerning complementarity between innovation and exports, results suggests complementarity only through contemporaneous effects. Finally, we find no support for the causal link from past product and process innovations to current export activities.     

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.     

Innovation,complementarity, and exporting. Evidence from German manufacturing firms

This paper assesses whether there might be complementarities between different types of innovation activities (product, process and organizational) and how these effects may be linked to the likelihood that a firm will export. Complementarity is addressed through the properties of supermodular functions, and firm heterogeneity by export destination is explored. A new econometric strategy to test for pairwise complementarity in a function with three independent variables and a binary dependent variable is proposed. Exogenous and endogenous innovation variables are considered by using bootstrapping for hypothesis testing, propensity score matching and treatment effects models. The empirical analysis shows that complementarity relationships between innovation strategies are more likely to exist when firms export to multiple foreign markets.     

Does partner type matter in R&D collaboration for product innovation?

Most firms tend to utilise various types of R&D collaboration partners simultaneously and partnerships between different types of partners show different properties. Thus, the effect of R&D collaboration may vary depending on partner types. This study considers four partner types: competitors, customers, suppliers and universities. It empirically examines the effect of R&D collaboration with each type of partner on product innovation, employing the Korean Innovation Survey data. Results show that R&D collaborations with customers and universities have a positive effect on product innovation, whereas R&D collaborations with suppliers and competitors have an inverted-U shape relationship with product innovation. This result can provide an explanation to the chaotic results of previous research and assist managers in selecting appropriate R&D partner.     

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.     

To what extent do earnings affect the R&D decision of Chinese manufacturing firms?

ABSTRACT

As R&D activities are involved in inherent uncertainty of large investment, high risk and long return periods, earnings, as the main source of internal financing, have been a significant factor of R&D decision in the firms. In contrast to the previous research, this study investigates the impacts of firm’s earnings on R&D decision, in which earnings are measured by the indicators of earnings level, earnings quality and earnings persistence, while separating firm R&D activity into two stages of (i) the decision to undertake R&D activity and (ii) the amount to be invested on innovation activities. We document that earnings level can increase the probability of undertaking R&D activity, but has no effect on R&D investment intensity. Earnings quality and earnings persistence have a promotional effect on both stages of R&D decision. The empirical evidence of the subsamples shows that the impacts of earnings are heterogeneous across different ownership and technology-intensity firms.     

Myopia and R&D/production complementarities

Summary The simple economics of a firm's decision to begin an in-house program of R&D is more complicated than appears at first blush. We utilize a multi-period search theoretic model to consider this decision when the firm's state of technological progress is fully described by a real-valued variable. By investing in R&D at the beginning of a period, the firm obtains an innovation whose value is revealed at the end of the period. Whereas there is a fixed cost of implementing a new innovation, the benefits include not only an increase in the flow rate of profits but also an increase in the efficiency of the firm's R&D efforts. Thus, an explicit complementarity between production and R&D is included. Because of this complementarity, a myopic decision rule—adopt an innovation only if the discounted value of the increase in the flow rate of profits (due to this one innovation) exceeds the fixed cost of adoption—is rarely optimal; furthermore, once begun the firm will not terminate its R&D program. Thus, a failure to account for this complementarity will lead to the oft-mentioned American under investment in R&D.This research was supported in part by the UCLA Price Institute in Entrepreneurial Studies.     

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.     

Stochastic innovation and product market organization

Summary This paper analyzes how different types of product market organization affect firms' R&D investments in a stochastic innovation framework. Product market competition determines payoffs to successful and unsuccessful firms. Restrictions on the research project success probability distribution are identified that yield an invariance result for expenditure per R&D project. The impact of the number of firms (n) on the amount of market R&D is shown to be sensitive to product market organization. For a major process innovation, firms undertake more R&D projects under Cournot product market competition than under Bertrand competition, forn sufficiently large. A numerical example is used to illustrate welfare tradeoffs.Tom Lyon, Herman Quirmbach, Ferenc Szidarovszky, Mark Walker and two anonymous referees gave us helpful comments and suggestions on prior versions of this paper. Lucy Atkinson provided expert research assistance on numerical computations. Special thanks to Ted Bergstrom who gave us valuable suggestions about the first proposition.     

The impact of external R&D financing on innovation process from a supply-demand perspective

This paper sheds light on the effects of two different types of R&D financing sources respectively from a supply-demand combined perspective, namely subsidy from government and venture capital in market, on the innovation process. Our empirical analysis is based on a unique data set of industrial enterprises located in Beijing ZhongGuanCun Science Park during the period 2008–2015. In terms of the two stages of the innovation process, this paper untangles and compares the effects of the two financing sources on R&D input, patent output as well as profit outcome. We find that both supply- and demand-side external R&D financing channels have differential effects on the innovation process in terms of input, output or outcome as well as the different-sized enterprises. Supply-side subsidy tends to be more effective at the front end of the innovation process, while venture capital shows a demand-side consideration on technology evolution by focusing more on the back end of the innovation process. Both government subsidy and venture capital can have a significantly positive impact on the entire innovation process of small and micro enterprises, whereas for large and medium-sized enterprises, subsidy has no significant impact on profit outcome and venture capital can only affect patents positively. These findings suggest that the Chinese government should focus more on small and micro firms and increase such firms’ access to venture capital through a process of certification, so as to achieve an effective combination of government functions and market functions.     

Product differentiation, process R&D, and the nature of market competition

We investigate the relationship between process and product R&D and compare the incentives for both types of R&D under different modes of market competition (Bertrand versus Cournot). It is shown that: (i) process R&D investments increase with the degree of product differentiation and firms invest more in product R&D when they can do process R&D than when they cannot; (ii) Bertrand firms have a stronger incentive for product R&D whereas Cournot firms invest more in process R&D; and (iii) cooperation in product R&D promotes both types of R&D relative to competition whereas cooperation in both types of R&D discourages R&D relative to cooperation in just product R&D.     

An investigation over inbound open innovation in SMEs: insights from an Italian manufacturing sample

ABSTRACT

Building on the Open Innovation (OI) framework, the purpose of this paper is to examine the R&D inbound model of small and medium enterprises (SMEs). Specifically, we focus on the impact of different horizontal R&D collaborations on product innovation and innovation performance. Hypotheses are tested using a Probit/Tobit regression on an Italian sample of 2591 manufacturing SMEs. Our analysis shows that collaborating with different horizontal R&D partners brings to different innovation outcomes. In particular, R&D collaboration with universities has a positive impact on product innovation, but not on innovation performance. Whereas, R&D collaboration with research centres and other private companies has a positive impact on both product innovation and innovation performance. Our findings provide implications for SMEs managers and entrepreneurs who have to decide between R&D partners for their innovation strategy. Avenues for future research are discussed.     

Research and development and trade policies for product innovation in the presence of foreign competition

This paper examines two policy instruments — a matching grant and import tariffs — for encouraging research and development (R&D) in product innovation by a domestic firm when it faces foreign competition. We do so by developing a theoretical model of product innovation where R&D effort is endogenous and its outcome uncertain. We examine the effects of a reduction in import tariffs on private expenditure on R&D, on public support for such R&D, and on total R&D expenditure. We find that in response to a reduction in import tariffs, the domestic firm always reduces its private R&D investments, but the total level of R&D expenditure (i.e., including public support) might go up depending on the level of tariffs. In particular, we find that it will go up if the initial level of tariff is higher than a critical level. When tariff is endogenous, we find that the socially optimal level of tariffs is positive. One finding that is of particular interest is that supporting private attempts to product innovate in the form of a matching grant program leads to a socially optimal level of product R&D.     

Synergizing independent and cooperative R&D activities: the effects of organisational slack and absorptive capacity

Firms undertaking independent and cooperative research and development (R&D) activities simultaneously often have difficulties to realise their synergistic effects. This study contends that such difficulties are caused by tensions between two types of R&D activities in terms of resource competition and knowledge leakage. Moreover, organisational slack and absorptive capacity may affect these tensions and thereby play important role in synergizing independent and cooperative R&D activities. Based on a survey data of 286 firms, this study finds that such two types of R&D activities jointly have a negative impact on firm performance. Furthermore, organisational slack aids in synergizing them, while absorptive capacity has an adverse impact. These findings enrich our knowledge on the interrelation of independent and cooperative R&D activities and shed light on how firms can synergize them.     

Firm's objective function and product and process R&D

Firms undertake different kinds of R&D activities. They do product R&D (R&D aimed at improving the quality of existing products, and creating new products). They also do process R&D (R&D aimed at lowering the cost of making existing and new products). Moreover, firms often do both product and process R&D simultaneously. As far as the objective of firms is concerned, this need not be limited to profit-maximization only. Rather, firms may have a broader objective, where they care about profits as well as consumer surplus. This paper studies effects of a firm having a general objective function (that takes into consideration both profits and consumer surplus) on its product and process R&D choices, and corresponding implications.I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can simultaneously do both product and process R&D in every period, face a discrete-choice model of consumer demand with vertical product differentiation, and maximize a discounted, weighted sum of their profits and consumer surplus over the infinite time horizon.I show how process and product R&D differ from each other in my framework, and the role of a firm's objective function in this regard. I compare process and product R&D choices across firms that differ in their objective function, and illustrate effects of providing general R&D subsidies (subsidies given for any R&D, regardless of whether it is product or process R&D) to firms. I also characterize how in my framework, the choice of process R&D in total R&D — R&D composition — by an individual firm varies over time, and how process and product R&D choices, process and product R&D productivity, and the choice of R&D composition vary across firms that differ in size but are otherwise similar.     

Innovation timing games: a general framework with applications

We offer a new algorithm for analyzing innovation timing games. Its main advantage over the traditional approach is that it applies to problems that had previously been intractable. We use the algorithm to examine two classical innovation problems. We find that the competition takes the form of a waiting game with a second-mover advantage either for any level of R&D costs (process innovation) or for high R&D costs (product innovation). Moreover, both models predict that the second-mover advantage is monotonically increasing in the costs of R&D.