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.     

Strategic R&D policy under multiproduct duopoly and quality-price competition

This paper analyses strategic R&D policy in a third-country trade model where multiproduct firms with different production technologies compete in a vertically differentiated market. I show that the optimal R&D policies for both countries are subsidies when the product market is under price competition.     

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.     

Evaluating R&D performance of EU countries using categorical DEA

Over the coming decade, Research and Development (R&D) performance will be the key component of bringing innovation and the determinant of global competitiveness of nations. Therefore, this paper presents categorical Data Envelopment Analysis (DEA) for evaluating R&D performance of European Union (EU) countries. We utilise the output-oriented constant returns to scale (CRS) and variable returns to scale (VRS) DEA models with categorical data, namely, CAT-O-C and CAT-O-V models. In addition to DEA based framework, to examine the relationship between R&D performance and political-regulatory-economic situation of the countries; three research hypotheses are stated and their results are analysed. Policy implications about R&D activities can be derived for EU countries from the findings of this study.     

An Empirical Evaluation of The Effects of R&D Subsidies

R&D subsidies are a common tool of technology policy, but little is known about the effects they have on the behavior of firms. This paper presents evidence on the effects that R&D subsidies have on the R&D effort of recipients, and on the probability that a firm will participate in a program granting R&D subsidies. The empirical model consists of a system of equations: a participation equation; and an R&D effort equation. Endogeneity of public funding is controlled for. Estimates are obtained with a cross-section sample of Spanish firms. The main findings are that: 1) small firms are more likely to obtain a subsidy than large firms, probably reflecting one of the public agency's goals; 2) overall, public funding induces more private effort, but for some firms (30% of participants) full crowding out effects cannot be ruled out, and 3) firm size remains related to effort, whether or not a firm gets public funding.     

The effectiveness of R&D subsidies

In this paper, the effectiveness of R&D subsidies is analyzed in an oligopolistic model that we apply to the cases of international R&D competition and cooperation. We find that the existence of asymmetric information among firms on whether a rival (or partner) is being subsidized or not may play a key role in explaining whether subsidies are effective or not in increasing R&D investments. In particular, it is shown that if the existence of the subsidy is made public (e.g. because strict information release regulation about R&D subsidies is enforced) and depending on the strategic relationship between the firms’ R&D efforts, an R&D subsidy could even hurt the subsidized firm.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.     

Assessing the influence of differentiation strategy and R&D subsidies on R&D cooperation

This paper explores the R&D cooperation determinants of the innovative companies belonging to the Spanish manufacturing sector. Our findings suggest that the variable R&D subsidy is endogenous, significant, and has a strong positive influence on R&D cooperation. This is a clear indication that the achievement of public aid is often conditioned by the obligation for companies to cooperate in R&D. We have also found that the differentiation strategy variable is significant and has a negative influence on R&D cooperation. Companies positioned in a differentiation strategy probably own and use some different knowledge from other companies. Consequently, they will not have much interest in taking advantage of the spillovers generated by other companies. It is therefore logical that they are reluctant to establish cooperation agreements on R&D. Therefore, companies positioned in the differentiation strategy need public policies to support R&D that are not conditioned to the establishment of cooperation agreements.     

Young leading innovators and the EU's R&D intensity gap

Europe's innovation gap relative to the USA is often attributed to its industrial structure in which new firms do not play a significant role, especially in high-tech sectors. This view of a structural European Union (EU) innovation deficit is popular in European innovation policy discussions, but has received little or no thorough empirical investigation. This article aims to address this ‘evidence gap’. Using industrial R&D Scoreboard data from leading world innovators, we find that compared to the USA, the EU has fewer young firms among its leading innovators. Using a decomposition analysis, we show that having fewer young firms accounts for about one-third of the EU–US differential in R&D intensity, while 55% of the differential is due to the fact that young leading innovators in the EU are less R&D intensive than their US counterparts. Further analysis shows that this is almost entirely due to a different sectoral composition. We thus confirm that the EU–US private R&D gap is indeed mostly a structural issue.     

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.     

Knowledge spillovers and R&D subsidies to new,emerging technologies

Is knowledge spillover a rationale for supporting R&D on new, emerging technologies more than R&D on other technologies? In this paper, I analyze whether innovation externalities caused only by knowledge spillovers differ between technologies of different maturity. I show that R&D should not be subsidized equally across industries when the knowledge stocks differ. This is because knowledge spillovers depend on the size of the knowledge stock and the elasticity of scale in R&D production. R&D in the emerging technology should be subsidized more when the elasticity is smaller than one. However, R&D in the mature technology should be subsidized more when the elasticity is larger than one.     

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.     

R&D and productivity: evidence from large UK establishments with substantial R&D activities

ABSTRACT

We use Office for National Statistics' micro data for large UK establishments in the production industries in the period 1997–2008 to study the relationship between their productivity and the presence of substantial R&D activities, either at the production unit itself, or at other UK reporting units owned by the same enterprise group. We estimate that total factor (revenue) productivity is on average about 14% higher at the establishments which have substantial R&D themselves, compared to those with no R&D. Among the establishments with no R&D themselves, we estimate that productivity is on average about 9% higher at those which belong to enterprise groups which do have substantial R&D elsewhere in the UK in the same sub-sector. For the establishments with substantial R&D themselves, we also estimate a significant positive relationship between current productivity and past R&D expenditure using dynamic specifications which allow for both establishment-specific ‘fixed effects’ and a serially correlated error component.     

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

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.     

Differences in business R&D intensity across OECD countries: the role of size-dependent regulation

We analyse the impact of size-dependent regulation in the labour market on business R&D intensity for 20 OECD countries spanning the periods 2002–2011. Using a difference-in-differences approach, we find that stricter size-dependent regulation leads firms with more than 50 employees to significantly reduce their R&D intensity. This finding implies that size-dependent regulation induces a distortion in the reallocation of R&D-related resources.     

Additionality of public R&D grants in a transition economy

This paper examines the input and output additionality of public R&D subsidies in Western and Eastern Germany. We estimate the impact of public R&D grants on firms’ R&D and innovation input. Based on the results of this first step we compare the impact of publicly funded private R&D on innovation output with the output effect of R&D funded out of firms’ own pockets. We employ microeconometric evaluation methods using firm‐level data derived from the Mannheim Innovation Panel. Our results point towards a large degree of additionality in public R&D grants with regard to innovation input measured as R&D expenditures and innovation expenditures, as well as with regard to innovation output measured by patent applications. Input additionality has been more pronounced in Eastern Germany during the transition period than in Western Germany. However, R&D productivity is still larger for the established Western German innovation system than for Eastern Germany. Hence, a regional redistribution of public R&D subsidies might improve the overall innovation output of the German economy.     

Foreign and domestic R&D investment

A considerable share of R&D investment is due to multinational firms that simultaneously operate R&D bases at home and abroad. We develop a simple model of foreign and domestic R&D investment and test the model's predictions on a sample of 146 Japanese multinational firms’ R&D investments in Japan and the United States in 1996. The empirical results confirm that the foreign to domestic R&D ratio depends on relative technological opportunities and relative demand conditions, with foreign research expenditures responding to technological opportunity and foreign development expenditures responding to demand.     

A computational analysis of R&D support programs

We compare two common government R&D support programs, R&D tax credits and direct R&D grants. To study their effectiveness and the extent to which their design matters, we analyze these programs within a dynamic equilibrium model of imperfectly competitive industries. Adopting comprehensive welfare measures that take into account government, producer and consumer surpluses, we find that both schemes exhibit positive social returns. Mid-range R&D-intensive sectors exhibit higher social returns than either high or low R&D-intensive sectors. Both incentive schemes generate positive measures of R&D input additionality of magnitudes consistent with empirical R&D research. However, R&D grants that require firms to allocate subsidy funds to R&D spur less R&D than a more flexible R&D tax credit. Subsidy schemes can even induce competing firms to over-spend on R&D, generating negative producer surplus and possibly negative social returns.     

The productivity effects of local R&D outsourcing: the moderating role of subsidiary mandate and internal R&D

This study examined the moderating effects of two kinds of internal R&D (parent R&D and subsidiary R&D) on the relationship between local R&D outsourcing and subsidiary productivity as internal R&D challenges the collaborative relationships in the local environment. Due to the specific feature of a subsidiary mandate, we further investigate whether two distinct kinds of internal R&D have different moderating effects between exploitation-oriented subsidiaries and exploration-oriented subsidiaries, based on a sample of longitudinal data set of 263 Taiwan-based manufacturing subsidiaries over the period 2006–2009. The empirical results show that for exploitation-oriented subsidiaries parent R&D plays a significant and negative moderating role on the impact of local R&D outsourcing based on local collaboration, while a positive moderating role is observed with parent R&D and subsidiary R&D for exploration-oriented subsidiaries.