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.     

R&D,public innovation policy,and productivity: The case of danish manufacturing

The purpose of this paper is to investigate the relationship between private R&D, public innovation support transferred to the private sector, and productivity in Danish manufacturing. Two main conclusions are established. First, public innovation support has a positive and significant effect on private R&D expenditures with an estimated elasticity of 0.062. Second, the indirect effect on productivity from public innovation support is reflected in a positive point estimate which is found to be robust to different specifications of R&D capital.     

Assessing measurement errors in the CDM research–innovation–productivity relationships

ABSTRACT

The Crépon-Duguet-Mairesse 1998 article, known as CDM, initiated a structural econometric framework to analyze the relationships among research, innovation and productivity, which has been estimated most generally on the basis of cross-sectional innovation survey-type data. Some econometric implementations of the CDM approach have suggested that such data give useful but imprecise measures of the innovation output (share of innovative sales), and to a lesser degree of the innovation input (R&D). These ‘measurement errors’ may result in attenuation biases of the estimated R&D and innovation impact elasticities in the two basic CDM ‘roots’ relations of R&D to innovation and innovation to productivity, as well as in the extended production function à la Griliches linking directly R&D to productivity. Using a panel of three waves of the French Community Innovation Survey (CIS), we assess these biases and the magnitude of the underlying measurement errors, assuming mainly that they are ‘white noise’ errors. We do so by comparing two pairs of usual panel estimators (Total and Between) in both the cross-sectional and time dimensions of the data (Levels and Differences). We find large measurement errors on innovation output in the innovation–productivity equation, resulting in large attenuation biases in the related elasticity parameter. We also find smaller but sizeable measurement errors on R&D, with significant attenuation biases in the corresponding elasticity estimates, in the R&D–innovation equation and the extended production function. Simulations suggest that the measurement errors on innovation and R&D are unaffected by similar measurement errors on the capital variable.     

The influence of user-supplier relationship on innovation dynamics of Oil & Gas industry

ABSTRACT

This paper analyses the role of user-supplier relationships in the innovation dynamics of the Oil and Gas (O&G) industry, from an analysis supported by R&D and patent application data. This paper points to some recent interesting phenomena in the O&G sector, such as: (i) the remarkable advancement of two Chinese oil companies; (ii) the significant growth in O&G companies’ technological engagement in exploration and production (E&P) from the 2000s; (iii) the non-negligible increase in the application of O&G companies’ patents for renewable energy. Moreover, by working with the oil and gas chain complete, we show that the performance of the companies oil and gas equipment and services industry (O&GES) is restricted to the upstream activities. Finally, we bring up some arguments that have as objective relativise the typology of R&D intensity adopted by OECD.     

Science,innovation, and public services: editorial introduction

ABSTRACT

The quality of public services is critically influenced by innovation and, ultimately, by advances in basic research, which however embeds the feature of a global public good. Two broad issues emerge. The first concerns the evaluation of the socio-economic impact of science. What are the benefits and spillovers that R&D investments, research infrastructures and big science can bring to society? The second concerns which type of institutions and policies are most suitable for supporting R&D activities. These topics discussed in this article represent the core of the special issue “Innovation and Public Services: from the lab to enterprises and citizens”     

环境不确定性、研发管理与技术创新绩效间关系的实证分析

以组织学习理论为基础,利用1408家中国制造业企业的调研数据,实证分析了环境不确定性和研发管理对中国企业技术创新绩效的影响。结果显示:中国制造业企业面临的技术不确定性和市场环境不确定性对企业技术创新能力的提升具有促进作用;企业研发管理对上述关系具有正向调节作用,即注重研发投入、开展产学研合作以及实施知识产权管理会对处于不确定环境的企业的技术创新绩效产生积极的调节作用。因此,企业在面临不可预测的境况时应持续进行研发管理,以丰富企业的技术创新知识积累。     

Spillovers,product innovation and R&D cooperation: a theoretical model

ABSTRACT

We analyze the impact of post-innovation knowledge spillovers on firms’ decisions to invest and cooperate in R&D, forming a research joint venture (RJV). We study the case of two potential investors involved in a non-tournament stochastic competition for developing a new but imitable product. We propose a theoretical model where cooperation may emerge as a subgame perfect Nash equilibrium of a three-stage game. In the first stage, firms decide whether to cooperate; in the second, they decide whether to invest; and in the third, they compete. We show that firms cooperate in R&D when the spillovers are high enough and the fixed costs associated with R&D activities are low enough; however, our analysis suggests that forming an RJV may not always be socially optimal, and subsidizing R&D cooperation may not be efficient. We propose an optimal scheme of subsidies, which should be designed according to the intensity of the spillovers, the level of the R&D costs, and the probability of innovation success. Finally, we show that in the case of mergers the private incentive to invest is maximized, and firms may not need public subsidies to cooperate. When subsidies are costly, not hindering mergers may be the second-best solution.     

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.     

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.     

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.     

Does R&D spending boost tangible investment? An analysis on European firms

This article investigates the relationship between firm’s R&D intensity, expressed as R&D expenditure over sales, and investment intensity in tangible assets. It is commonly acknowledged that R&D requires additional physical investment to be implemented. R&D increases a firm’s productivity and return to tangible investments, thus, providing to the firm incentives to bear high tangible capital costs and to invest more. This represents a crucial issue for a firm’s growth, particularly considering the strong interaction between physical capital accumulation and technological progress. The analysis is based on a large sample of manufacturing firms across seven European countries in the period 2007–2009. Since the sub-sample of firms performing R&D might not be random, there may potentially be an endogeneity issue. The analysis also considers that firms may decide to spend on R&D and investment in physical capital simultaneously. The questions of both endogeneity and simultaneity are dealt with by employing an instrumental variable two-step procedure. We find a positive and significant impact of R&D intensity on firms’ tangible investment intensity. The econometric results highlight the importance of financial factors, particularly with respect to firms’ internal resources. Exposure to international trade has a negative impact on investment, possibly depending on the time-span of the sample used.

Abbreviations: Technological Innovation and R&D; Investment Capital; Industry Studies; Firm Behavior; Empirical Analysis     

Patents,technological inputs and spillovers among regions

This article analyses the importance of different technological inputs (R&D and human capital) and different spillovers in explaining the differences in patenting among Spanish regions in the period 1986 to 2003. The analysis is based on the estimation of a knowledge production function. A region's own R&D activities and human capital are observed to have a positive significant effect on innovation output, measured by the number of patents. R&D spillovers weighted by the distance and the volume of trade flows between regions cause positive effects on a region's patents. However, distance matters more than the intensity of trade flows and the R&D spillover effects between regions are bounded: spillovers from closer regions perform better than spillovers from distant regions. On the opposite side, human capital spillovers do not cause any effect outside the region itself.     

How do housing cycles influence listed firms’ R&D investment: evidence from the collateral channel

ABSTRACT

Firm innovation is essential to long-run economic growth. Financially constrained R&D firms may use firm-owned properties as collateral to finance their R&D projects. Therefore, the housing price cycle can affect firms’ R&D investment through influencing their real estate value. By examining listed R&D firms during the housing boom period 2002–2006 in the U.S., we find that a $1 increase in real estate value leads a firm to increase its R&D investment by $0.38. We also find that this collateral effect is more pronounced among financially constrained R&D firms than that among unconstrained ones. Additionally, we examine the housing bust period 2008–2012, and find that real estate depreciation retarded R&D investment, especially among constrained R&D firms.     

Financing R&D in mature companies: An empirical analysis

We study financing patterns of publicly traded R&D-intensive manufacturing firms in Israel. We further characterize R&D-intensive firms by size, physical capital intensity, and whether they issued stocks in the United States, asking whether these features are associated with particular financing patterns. To address these issues, we present, for the first time, adjusted flow of funds charts that treat R&D expenses as a capital outlay (rather than an operating cost that reduces profits, as standard accounting principles prescribe). We also address the question of how R&D inputs should be measured - using R&D expenses or R&D personnel. We construct both expenditure- and personnel-based R&D measures for each firm in our sample, and investigate to what extent these measures are mutually consistent.     

Internal R&D effort,external imported technology and economic value added: empirical study of Taiwan's electronic industry

Technology innovation is a significant resource in the contemporary knowledge-based economy. The main sources of technology innovation are internal R&D effort and external imported technology. Two primary traditional production factors are physical capital and labour. The theoretical basis for this study is an evolutionary Cobb–Douglas production function explaining the effects of four resources (internal R&D effort, imported technology, physical capital and labour) on a firm's sales and economic value added (EVA). Time-series cross-section panel data from 219 Taiwan electronic manufacturers between 1990 and 2003 were employed for fixed effect model. Major empirical findings were observed in this study: first, Internal R&D effort can positively affect a firm's sales and EVA. Conversely, imported technology is found to have had no significant effect on sales and EVA. Second, although both physical capital and labour affect a firm's sales more than the effects of internal R&D and external imported technology, internal R&D effort contributes to a firm's EVA beyond the effects of imported technology, physical capital and labour. Third, External imported technology has neither a complementary nor a substitutive relationship with internal R&D effort.     

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.     

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.     

Technological opportunity and the growth of knowledge: A Schumpeterian approach to measurement

A model of endogenous growth, based on Schumpeter's notion of trustified capitalism, is developed and applied to firm-level data for the period 1973–1991. The model relates the market value of a firm to its current profits and to its R&D expenditures. The relationship depends upon the expected rate of knowledge growth, the expected value of an innovation and the elasticity of the R&D production function. Over the sample period, investors expected knowledge to grow at an average rate of 5 percent, a measure which reflects both process innovations and new product discoveries. Elasticities of the R&D production functions are estimated for thirteen industry groups and interpreted as measures of technological opportunity. There is no evidence of secular decline in technological opportunity over the sample period, but there is some evidence of diminishing returns to R&D intensity. Variations in technological opportunity over time are not correlated across industries. In contrast, the expected rates of knowledge growth at the industry level are highly correlated with the aggregate expected rate.     

The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency

ABSTRACT

This paper presents estimates of the impact of public R&D on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector agency data, we estimate the per-capita R&D elasticity of new patent applications using a knowledge production function framework model that is an expanded version of what other scholars have used with private sector data. New patent applications are an important step in the technology transfer activities of a federal agency. We estimate this elasticity to be about 2.0. This elasticity value represents an initial estimate of the impact of EPA’s R&D investments on its technology transfer activity.     

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.