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.     

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.     

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 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.     

International R&D Rivalry with Spillovers and Policy Cooperation in R&D Subsidies and Taxes

Abstract

We have investigated non-cooperative and jointly optimal R&D policies in the framework of Spencer & Brander (1983) in the presence of R&D spillovers. When R&D activities are strategic substitutes and the R&D game exhibits a positive externality, the result of Spencer & Brander (1983) reverses: the non-cooperative policy is a tax while the jointly optimal policy is a subsidy. Moreover, when R&D activities are strategic complements, the usual result of the prisoners' dilemma in the strategic subsidy game does not hold, implying that a welfare intervention is preferable over laissez-faire. When spillovers are sufficiently large, the joint welfare increases with subsidies being higher than those under non-cooperation.     

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.     

Vertical R&D Spillovers,Cooperation, Market Structure,and Innovation

This paper studies vertical R&D spillovers between upstream and downstream firms. The model incorporates two vertically related industries, with horizontal spillovers within each industry and vertical spillovers between the two industries. Four types of R&D cooperation are studied: no cooperation, horizontal cooperation, vertical cooperation, and simultaneous horizontal and vertical cooperation. Vertical spillovers always increase R&D and welfare, while horizontal spillovers may increase or decrease them. The comparison of cooperative settings in terms of R&D shows that no setting uniformly dominates the others. Which type of cooperation yields more R&D depends on horizontal and vertical spillovers, and market structure. The ranking of cooperative structures hinges on the signs and magnitudes of three "competitive externalities" (vertical, horizontal, and diagonal) which capture the effect of the R&D of a firm on the profits of other firms. One of the basic results of the strategic investment literature is that cooperation between competitors decreases R&D when horizontal spillovers are low; the model shows that this result does not necessarily hold when vertical spillovers are sufficiently high, and/or when horizontal cooperation is combined with vertical cooperation.     

Tax policy endogeneity: evidence from R&D tax credits

This paper estimates the causal effect of research and development (R&D) tax incentives on R&D expenditures using new data on U.S. states. Identifying tax variation comes from changes in federal corporate tax laws that heterogeneously and, due to the simultaneity of state and federal corporate taxes, automatically affect state-level tax laws. Instrumental variables regressions indicate that a 1% increase in R&D tax incentives causes a statistically significant 2.8–3.8% increase in R&D. Alternatively, ordinary least squares (OLS) regressions of R&D expenditures on R&D tax incentives, which do not correct for the policy endogeneity of R&D tax incentives, indicate that a 1% increase in R&D tax incentives causes a statistically insignificant 0.4–0.7% increase in R&D. One possible explanation for these results is that tax policies are implemented before an economic downturn.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

A matching analysis of why some firms in peripheral regions undertake R&D whereas others do not

Many studies have established the importance of investment in R&D to facilitate innovation and consequently improve firm productivity. Firms decide whether or not to undertake R&D depending on a range of factors such as market orientation, business objectives, competitive advantages and absorptive capacity. This paper studies the factors that influence this decision in peripheral locations; and for firms that do not undertake R&D, we analyse the reasons for not doing so. The research is based on data from a survey of some 250 matched firms operating in Northern Ireland, about half undertaking R&D and half not. Northern Ireland is an interesting case study because it exhibits a low level of investment in R&D despite the public subsidies and policy initiatives that have existed over the last 30 years. For firms that undertake R&D, our results mostly confirm the findings of others while for firms that do not undertake R&D the results point to a capabilities-gap rather than a resource-gap as the fundamental problem. Policy conclusions are drawn as to what might be done to boost both the amount of R&D undertaken and the number of firms engaged in R&D in peripheral regions.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Comparison of excess social rates of return to product and process R&D

This paper reports results for a well established production function that includes research and development (R&D). By assuming zero depreciation, it can be used to provide estimates of excess social rates of return to R&D. The estimates distinguish spending on product and process innovations for three US manufacturing industries. The results suggest that, while excess social rates of return are found to be negative for product R&D, they are positive for process in each of the industries. They therefore suggest some scope for public R&D subsidies or tax benefits to process R&D but not to product R&D.     

The impact of public R&D expenditure on business R&D*

This paper attempts to quantify the aggregate net effect of government funding on business R&D in 17 OECD Member countries over the past two decades. Grants, procurement, tax incentives and direct performance of research (in public laboratories or universities) are the major policy tools in the field. The major results of the study are the following: Direct government funding of R&D performed by firms has a positive effect on business financed R&D (except if the funding is targeted towards defence activities). Tax incentives have an immediate and positive effect on business-financed R&D; Direct funding as well as tax incentives are more effective when they are stable over time: firms do not invest in additional R&D if they are uncertain of the durability of the government support; Direct government funding and R&D tax incentives are substitutes: increased intensity of one reduces the effect of the other on business R&D; The stimulating effect of government funding varies with respect to its generosity: it increases up to a certain threshold (about 10% of business R&D) and then decreases beyond; Defence research performed in public laboratories and universities crowds out private R&D; Civilian public research is neutral for business R&D. * We thank the participants to various seminars, including the OECD Committee for Scientific and Technology Policy and the NBER 2000 Summer Institute on Productivity for helpful comments and suggestions. All opinions expressed in this article are those of the authors and do not reflect necessarily the views of the OECD or Université Libre de Bruxelles.     

Environmental Policy with Endogenous Technology from a Game Theoretic Perspective: The Case of the US Pulp and Paper Industry

The merits of different types of regulatory tools in eliminating pollution and at the same time inducing innovation have long been an interest of researchers in both environmental economics and industrial organization. Although there is a substantial theoretical literature investigating the potential for various environmental policies to attain these dual goals, this is a challenging empirical problem because every industry has its own inherent characteristics that play an important role in determining the performance of different regulatory tools. The majority of the work to date focuses on pollution abatement while leaving pollution prevention understudied. In most of the literature firms are also assumed to be symmetric. Asymmetries among firms add another degree and level of complexity to their strategic interactions, and affect the performance of different regulatory tools. This paper investigates the performance of two alternative regulatory tools, an emissions performance standard and an emissions tax, in reducing pollution and inducing pollution prevention and abatement R&D in the US pulp and paper industry. We construct a model representing the industry in an asymmetric Cournot duopoly framework, calibrate the model to disaggregated industry data, and run scenarios to replicate the behavior of the firms in an imperfectly competitive output market. Our results suggest that pollution prevention R&D can respond quite differently than abatement R&D to different policy instruments. The results indicate that R&D spillovers among firms play crucial role in technology development and strategies of the firms. Our results also suggest that strategic interactions between firms in an imperfectly competitive industry can have significant impacts of the levels of both types of R&D.      

Measuring universities’ R&D performance in China’s provinces: a multistage efficiency and effectiveness perspective

ABSTRACT

Evaluating universities’ R&D performance can serve as a tool for policymakers, enabling them to identify the best R&D practitioners for benchmarking and develop strategies for enhancing performance by highlighting areas of weakness. This study divides universities’ R&D performance into two dimensions: efficiency and effectiveness. We employ a network data envelopment analysis approach to measure universities’ R&D efficiency, and separately use a multi-index comprehensive evaluation method to assess their R&D effectiveness from a multistage perspective. We calculate the comprehensive R&D performance of universities in 30 provinces in China from 2004 to 2014. An analysis of temporal variation reveals that universities’ R&D performance in some provinces improved rapidly, increasing gaps in performance as a whole. The spatial pattern for the 30 provinces shows that universities in provinces with medium or strong R&D performance are mainly in coastal provinces and central areas in China. Finally, universities’ R&D activities are considered ‘efficient and effective’ only in a small number of provinces, while in most provinces, these activities can generally be considered ‘less efficient and effective.’ Hence, universities in provinces with different R&D performance modes should implement targeted improvement strategies according to their characteristics.     

Cournot duopoly and environmental R&D under regulator’s precommitment to an emissions tax

This study examines the environmental R&D (E-R&D) of Cournot duopolists with end-of-pipe technology under a regulator’s precommitment to an emissions tax. Under technological spillover effect, the government invariably prefers E-R&D cartelization to E-R&D competition. Highly contrary to earlier studies, consumer surplus is not necessarily maximized by environmental research joint venture cartelization, although this offers private and social incentives.     

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.     

R&D policy in a vertically related industry

In this paper, we analyze the effectiveness of public policy aimed to stimulate business-performed R&D in a vertically related market. We examine the role of an R&D active upstream supplier in a four-stage R&D model, where we incorporate public funding. The considered policy instrument is direct funding of firms’ R&D efforts. We calculate the optimal policies and show that they have a positive impact on firms’ R&D investments. From a welfare point of view, it is optimal to differentiate the subsidy rates between the upstream and the downstream markets. Competition in the product market leads to a higher subsidy rate to the upstream supplier than to the downstream firms. When concentration is high in the downstream market, the optimal solution is an R&D subsidy for these firms, otherwise the optimal solution is an R&D tax for the downstream firms.     

Optimal combination of innovation and environmental policies under technology licensing

Under what conditions will a carbon tax encourage environmental innovation? Can a regulator design an optimal environmental policy to reduce emissions and to promote clean technologies? This paper studies optimal environmental policy in the situation where a monopoly innovator develops and licenses clean production technologies to downstream polluting firms. We find that (i) a higher emission tax will encourage innovation when the burden of the tax payment in the polluters' costs and/or the price-elasticity of the demand for polluting goods are small, (ii) the innovation-inducing effects of emission tax are inversely related to the emission-reduction (Pigouvian) effects of the tax, and (iii) the social optimum can be achieved by the mix of tax and subsidy. We also show that if the policy instrument is limited to the tax, the second-best tax rate would lie between the marginal damage and the first-best rate. By performing numerical simulations, we also demonstrate that the optimal mix of the emission tax and R&D subsidy can have “double dividend” benefits.     

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.