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.     

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.     

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.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

On the impact of public policies and wage formation on business investment in research and development

Against the backdrop of mediocre growth prospects in many countries, governments should do more to promote private investment in research and development (R&D). Public fiscal policies and the characteristics of wage formation are key as they affect both the incentives that firms face and their resources. This paper studies their impact at the macro level in a panel of 14 OECD countries since 1981, while we also account for the impact of unobserved common factors like the world level of knowledge. Tax incentives, government intramural expenditures on R&D, public R&D subsidies (if they are not too low nor too high) and especially investment in tertiary education, encourage business R&D investment. Wage moderation may also contribute to innovation, but only in fairly closed economies and in economies with flexible labour markets. In highly open economies with rigid labour markets, high wage pressure promotes investment in R&D. Innovation may then be the only competitive strategy for firms.     

Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

Does market competition promote innovation efficiency in China’s high-tech industries?

ABSTRACT

Despite extensive discussion about the relationship between market competition and innovation performance, the impact of market competition on the innovation efficiency of high-technology industries in a transitional economy is still unclear. The article is based on panel data of 17 subsectors of China’s high-tech industry spanning the 2001–2016 period. Using stochastic the frontier analysis model, we empirically test the impact of market competition on two-stage innovation efficiency from the perspective of the industry. The results indicate that market competition and firm scale have positive and significant effects on the efficiency of two-stage innovation, the effects of industry export intensity and government intervention on R&D efficiency are negative, but the effects are different for the efficiency of the commercialisation of technology. Based on the results of the empirical analysis, this paper compares the trends and the differences between R&D efficiency and commercialisation efficiency, and then uses cluster analysis to reclassify China’s high-tech industries into three categories, thus revealing the disconnect and imbalance within China’s high-tech industries. At the end of the article, we present some possible policy recommendations.     

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.     

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.     

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.     

The Social Value of Biodiversity for R&D

The value of genetic resources for use in research and development (R&D)activities has been the subject of a literature modelling the activity as onewhere individual firms engage in optimal search. Here we develop a moregeneralised framework in which genetic resources are used in R&D at thebase of an industry that addresses recurring problems of resistance, as inthe pharmaceutical or plant breeding industries. The R&D process is onein which firms are engaging in a continuing contest of innovation againsta background of both creative destruction (Schumpeterian competition) andadaptive destruction (natural selection and adaptation). This frameworkdemonstrates that the search model is conceptually inadequate because itfails to incorporate the important dynamic characteristics of biologicalphenomena. We then demonstrate the important differences between firm-based valuation of genetic resources and the social value of geneticresources for use in this contest of innovation. There are six externalitiesin private patent-based genetic resource valuation, and five of theseindicate that private valuations will under-estimate social values.     

Financing constraints for R&D in China: the role of state ownership

We investigate financing constraints for R&D in China. We find that Chinese private firms are financially constrained for R&D, while state-owned enterprises are not. Mature private firms encounter more severe financing constraints for R&D than young private firms. Moreover, the expansion of external financing supply does not relax the financing constraints for R&D faced by private firms.     

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.     

Measuring innovation in long product development cycle industries: an insight in biotechnology

This paper examines and measures innovation in the context of biotechnology firms by analysing the link between R&D, innovation performance and organisational growth. We conceptualise innovation performance as a latent construct with two dimensions: innovation efficacy and innovation efficiency. We use structural equations modelling to test the hypotheses on a data set from the biotechnology industry. Results support our innovation performance conceptualisation which is found to be especially useful to measure innovation in industries with long product development cycles. Findings also underline the importance of R&D knowledge creation for biotechnology firms.     

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.     

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.     

Financing R&D in Chinese private firms: Business associations or political connection?

Using a new and unique dataset of Chinese private firms, this paper explores how private firms access bank loans to finance innovative activities. The results reveal that political connection, rather than membership in a government-controlled business association, largely determines private firms' innovations by providing access to bank loans. Furthermore, the “grease-the-wheels” mechanism of political connection is stronger if the firms are more constrained financially, located in regions with low levels of financial development, or located in regions with relatively under-developed institutional environments. Finally, cash flow, used to measure internal financing, and trade credit, used to measure informal financing, are important alternative financing channels and support firms' R&D investments. Our paper implies that China's government needs to continue fostering a good financing environment and supporting innovation activities.     

政府研发资助促进企业创新的有效性:激励效应异质性假说与检验

关于政府研发资助能否促进企业研发创新活动以及在创新过程中如何更有效地发挥政府的作用，一直存在争议。本文基于理论分析，提出了政府研发资助促进企业创新的有效性以及激励效应存在异质性的假说，利用工业企业的创新活动数据检验了中国政府研发资助对企业研发创新活动的影响效应。总体来看，政府研发资助对企业自身研发投入存在激励作用，同时也会提升企业研发创新的专利和新产品的产出水平。政府资助的激励效应存在企业异质性，在企业规模越大、人力资本水平越高、劳动生产效率越高的企业中，政府资助的激励效应越大，并且对非国有企业的研发创新产出的促进效用要高于国有企业。另外，本文还发现科技活动的产出更多地依赖于研发人员的贡献。政府对企业研发创新进行资助时，应该根据企业具体的微观特征，制定针对性的资助方式，更有效地发挥政府资助的激励效应。     

海外研发、贸易摩擦与创新绩效：来自中国高科技上市公司的经验证据

海外研发被视为后发国家实现技术赶超的有效路径,现有文献基于经贸自由化的前置条件证实了海外研发提升创新绩效的反哺作用。然而在全球贸易保护主义抬头的背景下,资源要素的自由流动愈发困难,海外研发能否发挥应有的作用尚不得而知。为此,基于中国高科技上市公司的数据,本文探索了中美贸易摩擦如何影响中国企业的海外研发绩效。研究发现,中美贸易摩擦非但没有侵蚀中国企业的海外研发绩效,反而产生倒逼效应,推动中国企业提升投资效率并积累国际投资经验,继而增强了海外研发的反哺作用。通过区分海外研发目的地,本文进一步发现倒逼效应在赴非美国家的样本中更显著。赴美研发受到贸易摩擦的冲击更为直接,稀释了提升投资效率和积累国际化经验所带来的收益。研究结论深化了国际商务理论关于贸易保护和壁垒如何影响跨国企业投资绩效的相关研究,为中国企业在高度不确定的投资环境下如何充分释放海外研发的潜能提供启示。