R&;D spillovers and firms’ performance in Italy

Using a translog production function we estimate the impact of R&D spillovers on the output performance of Italian manufacturing firms over the period 1998-2003. Technological flows are measured through an asymmetric similarity index that takes also into account the geographical proximity of firms. Results show that R&D spillovers positively affect firms production and that geography matters in determining the role of the external technology. Moreover, we find that the effect of R&D spillovers is high in the Centre-South of Italy and that the stock of R&D spillovers is Morishima complement to the stock of R&D own-capital. The authors thank Giovanni Anania, Olof Ejermo, Vincenzo Scoppa, Alessandro Sterlacchini and Marco Vivarelli for useful comments on an earlier draft. We are also grateful to the participants at the Workshop on “Spatial Econometrics and Statistics” in Rome (University “Guido Carli, May 2006) and at the 2006 ADRES Conference, “Networks of Innovation and Spatial Analysis of Knowledge Diffusion” in St Etienne for helpful discussion and to an anonymous referee for many detailed and constructive comments on an earlier version. All remaining errors and omissions are our own. Financial support received by MIUR is gratefully acknowledged.     

Pollution abatement with disruptive R&D investment

This paper examines a model of investment in abatement where polluting firms produce output while investing in R&D. This investment, however, increases production costs, thus disrupting first-period output. We identify three equilibrium profiles where firms choose to either: (1) invest in R&D alone (thus rationalizing a common modeling assumption in the literature); (2) produce output alone; or (3) engage in both activities. We evaluate how the emergence of each result is affected by the market structure in which firms compete and by the severity of spillover effects. We then measure welfare levels in each equilibrium profile. Overall, we show that firms endogenously choose to focus on R&D only when the market is concentrated and spillover effects are small. In other type of industries, our findings indicate that firms may focus on output production or engage in both activities under relatively large conditions.     

Technological districts localized spillovers and productivity growth. The Italian evidence on technological externalities in the core regions

Technological R&D externalities are the effects on the technological capacity of each firm stemming from the complementary and interrelated activities of R&D activities of other firms that operate both in the same industry and in other industries. R&D technological externalities are specially influential at the regional level. Regional proximity enhances the circulation of information, the opportunities for external learning; the scope for capitalizing on potential complementarities among the variety of firms and the different R&D activities being carried out by each firm, and the opportunity for technological networking. The empirical evidence on core regions in Italy in the 1980s confirms that regional clustering of complementary and interrelated R&D activities facilitated the emergence of technological districts. Firms located within technological districts benefited enormously from the R&D technological externalities spilling out from the complementary and interrelated R&D activities of other firms localized in the same area. Consequently, firms localized within technological districts had fast rates of introduction of technological innovations which, in turn, made it possible for total factor productivity levels to be raised with comparatively low levels of intra-muros R&D expenses.     

How effective are level-based R&D tax credits? Evidence from the Netherlands

This article examines the impact of the R&D fiscal incentive programme on R&D by Dutch firms. Taking a factor demand approach, we measure the elasticity of firm R&D capital accumulation to its user cost. Econometric models are estimated using a rich unbalanced panel of firm data covering the period 1996 to 2004 with firm specific R&D user costs varying with tax incentives. Using the estimated user cost elasticity, we perform a cost–benefit analysis of the R&D incentive programme. We find some evidence of additionality suggesting that the level based programme of R&D incentives in the Netherlands is effective in stimulating firms’ investment in R&D. However, the hypothesis of crowding out can be rejected only for small firms. The analysis also indicates that the level based nature of the fiscal incentive scheme leads to a substantial social deadweight loss.     

Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures

This paper aim at assessing the impact of R&D spillovers on firms’ economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1988, 1996) which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms’ technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms’ own R&D capital, labour and physical capital are estimated by means of a Cobb–Douglas production function. The data set consists of a representative sample of 625 worldwide R&D intensive firms over the period 1987–1994.     

Input and output additionality of R&D subsidies

This article analyses the effects of public R&D subsidies on R&D input and output of German firms. We distinguish between the direct impact of subsidies on R&D investment and the indirect effect on innovation output measured by patent applications. We disentangle the productivity of purely privately financed R&D and additional R&D investment induced by the public incentive scheme. For this, a treatment-effect analysis is conducted in a first step. The results are implemented into the estimation of a patent production function in a second step. It turns out that both purely privately financed R&D and publicly induced R&D show a positive effect on patent outcome.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

Testing for the Ratchet Effect in the R&D Tax Credit

Many countries have implemented the R&D tax credit to encourage firms’ R&D spending. The design of the tax credit is important for its effectiveness. Some countries such as Korea, Taiwan, Japan, France and the US have employed an incremental R&D tax credit system. The US case that made a major change in its design from the moving average base to the fixed base in calculating the credit provides us with a natural experiment to measure the effectiveness of the tax credit from the perspective of the ratchet effect. By applying an endogenous switching regression model to US manufacturing firm data, we attempt to measure the ratchet effect of R&D credit on firms’ R&D investment. According to the empirical results, the R&D tax credit policy has been effective with the price elasticity, –1.818, for the qualified firms, and the re-design of R&D credit improved the positive impact of R&D credit. This provides some policy implication for those countries that adopted an incremental credit system. In addition, our result suggests the existence of selectivity bias in the previous literature.     

The impact of R&D programme success on the decision to capitalise development expenditures in European firms

The financial reporting treatment of R&D expenditures can have important implications for firms’ strategic investment in R&D. Yet, financial reporting issues have been largely neglected in the R&D management literature. In this study, we first hypothesise that firms’ capitalisation of development expenditures subsequent to the mandatory adoption of IAS 38 (International Accounting Standard 38: Intangible Assets) is positively and significantly impacted by a measure of R&D programme success. Our empirical findings – based on a pan-European sample of firms – reveal strong support for this prediction. Our findings also offer support for our second hypothesis which predicts that capitalisation of development expenditures in conjunction with an evaluation of R&D programme success has a positive and significant impact on growth in shareholder value. Consequently, our work suggests that an important challenge for R&D professionals within firms is to develop improved measures of R&D success and to communicate this information to senior executives.     

Entry of foreign firms and the R&D behaviour: a panel data study of domestic and foreign firms in China's manufacturing sector

Rapid globalization has resulted in increased competitive pressures. The entry of foreign firms in a host economy increases the level of competition faced by not only the domestic firms but also the existing foreign firms. We argue that domestic firms, especially in developing countries, respond to this situation by increasing their research and development (R&D) spending, whereas the foreign firms decrease their R&D spending. By making use of firm-level panel data from China's manufacturing sector, over the period 2005–2007, this paper investigates the impact of the entry of foreign firms on R&D behaviour of domestic and foreign firms. Empirical analysis, based on Tobit and Instrumental Variables Tobit regression, reveals that foreign entry increases the R&D intensity of domestic firms but its impact on R&D intensity of foreign firms is negative. The estimated results are found to be robust across balanced and unbalanced panels.     

R&D spillovers and productivity: Evidence from U.S. manufacturing microdata

This paper deals with the estimation of the impact of technology spillovers on productivity at the firm level. Panel data for American manufacturing firms on sales, physical capital inputs, employment and R&D investments are linked to R&D data by industry. The latter data are used to construct four different sets of `indirect' R&D stocks, representing technology obtained through spillovers. The differences between two distinct kinds of spillovers are stressed. Cointegration analysis is introduced into production function estimation. Spillovers are found to have significant positive effects on productivity, although their magnitudes differ between high-tech, medium-tech and low-tech firms. First version received: April 1997/final version received: April 1999     

R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data

This paper uses a comprehensive firm level data set for the manufacturing sector in Italy to investigate the effect of government support on privately financed R&D expenditure. Estimates from a non‐parametric matching procedure suggest that public assistance has a positive effect on private R&D investment in the sense that the recipient firms achieve more private R&D than they would have without public support. This indicates that the possibility of perfect crowding out between private and public funds can be rejected. Furthermore, in this sample of Italian firms, tax incentives appear to be more effective than direct grants. The paper also examines whether public funding affects the financial sources available for R&D and finds that grants encourage the use of internal sources. The results also show some evidence of positive effects on credit financing for R&D.     

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     

A spatial analysis of R&D: the role of industry proximity

This paper employs individual firm data in order to check the existence of industry-spatial effects alongside other microeconomic determinants of R&D investment. Spatial proximity is defined by a measure of firms’ industry distance based on trade intensity between sectors. The spatial model specified here refers to the combined spatial-autoregressive model with autoregressive disturbances. In modelling the outcome for each location as dependent on a weighted average of the outcomes of other locations, outcomes are determined simultaneously. The results of the spatial estimation suggest that in their R&D decision firms benefit from spillovers originating from neighbouring industries.     

Exploring the effect of diversification strategy on R&D intensity using quantile regression: evidence from France

This study examines the relationship between firm diversification strategy and R&D intensity for a sample of large French companies between 2008 and 2012. Applying quantile regression, we provide evidence that the choice of diversification affects R&D intensity in a differentiated way. The results indicate that a low level of diversification (below the twentieth quantile) has no significant impact on R&D intensity. Conversely, a moderate or high level of diversification has a negative and significant impact on R&D intensity. These findings suggest that R&D intensity seems to be significantly higher in related-business firms than in unrelated-business firms.     

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.     

Relocation and investment in R&D by firms

The literature on foreign direct investment has analyzed corporate location decisions when firms invest in R&D to reduce production costs. Such firms may set up new plants in other developed countries while maintaining their domestic plants. In contrast, we here consider firms that close down their domestic operations and relocate to countries where wage costs are lower. Thus, we assume that firms may reduce their production costs by investing in R&D and likewise by moving their plants abroad. We show that these two mechanisms are complementary. When a firm relocates it invests more in R&D than when it does not change its location and, therefore, its production cost is lower in the first case. As a result, investment in R&D encourages firms to relocate.     

Strategic Rivalry With Spillovers Within Segmented Versus Integrated Markets

We consider a two-stage game with firms investing in R&D in the first stage while competing [a] la Cournot in the second stage. The firms are located in two countries, which are either segmented or integrated. R&D spillovers occur between firms located in the same country as well as between firms located in different countries.

We first examine the consequences of market integration on the impact of national and international R&D spillovers on innovative efforts, effective R&D, profits and total welfare. Comparing the resulting equilibrium levels, we subsequently conclude that market integration always leads to higher R&D investments and output if international R&D spillovers are limited, while the welfare consequences are ambiguous. Finally, we also analyze the welfare maximization problem of a ‘constrained social planner who can only decide on the level of R&D spillovers.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.     

Signalling,Disclosure And The Implications Of Financial Structure For Uk Corporate R&D ∗

This paper investigates the impact of R&D disclosure and finance variables on the level of R&D expenditures. The question addressed is: what is the impact of changes in disclosure requirements on the relationship between R&D expenditure and the financing of firms? The question is motivated by the possible signalling role that elective disclosure may have had prior to changes in accounting practices to ensure R&D disclosure.