An empirical analysis of patents flows and R&D flows around the world

In this article, we empirically investigate the effect of Research and Development (R&D) flows on patent flows around the world. We do this using an unbalanced panel consisting primarily of Organization for Economic Co-operation and Development (OECD) countries that have both patent and R&D expenditure information broken down by domestic and foreign sources. Our analysis shows that even among a fairly homogeneous group of countries, the sources of patents and R&D differ substantially. Using a dynamic panel framework, we find that domestic R&D per capita increases domestic patents per capita only for the European Patent Convention (EPC) countries that already have a decentralized approach to innovation. Foreign R&D per capita increases foreign patents per capita in all countries even though foreign R&D constitutes a very small fraction of total R&D. We find that some of these differences can be attributed to the locations of the patent applications, including those to the European Patent Office (EPO), United States Patent and Trademark Office (USPTO) and triadic patent applications to the EPO, USPTO and Japan Patent Office (JPO) simultaneously.     

On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

R&D spending in the high-tech sector and economic growth

The present paper provides new estimates of the impact of investment in R&D on long-term economic growth. In particular, we estimate a dynamic empirical growth model using panel data for OECD countries from 1970 to 2004. This study is the first to investigate whether the specialization of R&D activities (i.e. share of R&D investment in the high-tech sector) has an additional effect on GDP per working age population. Using a system GMM estimator in order to control for endogeneity, we find that both the ratio of business enterprises’ R&D expenditures to GDP and the share of R&D investment in the high-tech sector have strong positive effects on GDP per capita and GDP per hour worked in the long term.     

Has New Zealand benefited from its investments in research & development?

We use panel data for nine industries to evaluate research and development (R&D) investments in New Zealand over the past forty years. We estimate the impact of R&D stocks in a particular industry on output per person in that industry and on output per person in the rest of the economy. We examine both public and private R&D investments. Privately provided R&D has a statistically significant positive impact on own-industry output per person, suggesting it increases productivity. However, publicly provided R&D has no impact on own-industry output per person. There is also evidence that private R&D in certain industries positively affects output per person in the rest of the economy, i.e. it generates positive spillovers. There is no evidence of positive spillovers from publicly provided R&D.     

Firm size and types of innovation

We propose a general theory of innovation that illustrates the relative benefits of performing process versus product R&D when firm size is endogenous. A firm's size, scope, and R&D portfolio are shown to reflect the same underlying characteristic of the firm, namely manufacturing efficiency. We demonstrate that efficient firms become larger, have greater scope, and perform more of both process and product R&D. In light of decreasing returns to R&D, this implies small firms obtain more product innovations per dollar of R&D than large firms, which is consistent with evidence we present that small firms are more innovative than large firms as they obtain more patent counts and citations per dollar of R&D.     

Growth, Inequality, and Well-Being: Intertemporal and Global Comparisons

We use several well-being measures that combine average incomewith a measure of inequality to undertake intertemporal andglobal comparisons of wellbeing. The conclusions emerging fromthe intertemporal analysis are that the impact of these measureson temporal trends in well-being is relatively small on average,but changing across the decades. In particular, it suggeststhat changes in well-being were understated in the 1960s and1970s and overstated in the 1980s and 1990s. Our global analysiscovering ca. 81 per cent of the world's population demonstratesthat global well-being is at least 50 per cent smaller thanworld per capita income if the unequal income distribution isalso factored in. Conversely, growth in world well-being hasbeen larger than world income growth between 1970–1998.Since the inclusion of inequality has an important impact onwell-being comparisons, it is of great importance to generatemore consistent and intertemporally as well as internationallycomparable data on inequality. (JEL I31, D63)     

R&D Spillovers: Evidence from U.S. Food Processing,Farm Machinery and Agricultural Sectors

This paper computes private and social rates of return to R&D capital in the three vertically linked sectors, primary agriculture, food processing, and the farm machinery in the United States. Using a cost function approach, the private rates of return to R&D ranged from an average of 21.5% per annum for farm machinery to 87.5% for agriculture. The social rates of return to R&D in food processing and farm machinery are larger than the private rates due to spillovers. We find that spillovers from public agricultural R&D mitigates the market's failure in farm machinery to fully appropriate the returns to its R&D capital.     

Choosing Between Internal and Non-internal R&D Activities: Some Technological and Economic Factors

This paper evaluates some of the technological and economic factors that underlie the choice between in-house R&D, R&D alliances and outsourcing. We recount the reasons for the growth in non-internal activities, and explain why these are not as prevalent for R&D as other value-adding activities, and highlight that outsourcing is most often undertaken where multiple, substitutable sources are available. We then develop two frameworks. First, a static framework is developed, which evaluates the choice of mode based on a firm's distribution of competencies, and their strategic importance. Second, a dynamic framework is developed that demonstrates how the static framework differs depending on whether the firm is engaged in pre-paradigmatic, paradigmatic or post-paradigmatic sectors. We also consider the effect of new technologies being introduced to a firm's portfolio of competencies     

Does Culture Drive Innovation and Export Quality?

Quality upgrading is important for two reasons: it helps us understand the determinants of trade flows between countries and it promotes economic development. We study the cultural determinants of export quality using Hofstede's four original cultural dimensions to provide hypotheses on R&D spending, patents per capita and export quality. We then employ three-stage least squares analysis and confirm our hypotheses. For example, we find uncertainty avoidance encourages small-scale continuous improvement initiatives and substantially increases export quality. Power distance and individualism increase export quality, while masculinity has a small impact on quality. Finally, we provide implications for understanding the direction of trade and developing policy.     

R&D and Productivity in German Manufacturing Firms

This papcr uses a new firm panel data set to explore the relationship between R&D and productivity in German manufacturing firms for the period from 1979 to 1989. The results confirm the view that K&D is an important determinant of productivity growth. In the cross-section, the elasticity of sales with respect to R&D capital is on the order of 14 per cent. Using fixed-effects estimators yields R&D elasticities of about 8 per cent. Assuming different depreciation rates for R&D capital has virtually no effect on these results. Differencing estimates improve considerably when growth rates are computed over longer time periods, suggesting that the divergence between time-series and cross-sectional estimates is driven by random measurement errors. The paper also considers differences between high technology and other firms. Cross-section and panel elasticity estimates of the R&D effect diverge considerably for the two groups, while the corresponding rate of return estimators display far less variation. There is some evidence that the R&D elasticity increased during the early 1980s, and that it fell sharply back to its 1979 value during the period from 1985 to 1989.     

Do Higher Per Capita Incomes Lead to More R&D Expenditure?

This paper analyzes empirically the relationship between R&D and growth. The estimated elasticity of per capita R&D expenditures with respect to domestic per capita incomes lies between 1.81 and 2.93 for the ten OECDcountries studied, whereas the elasticity of R&D with respect to foreign demand lies between 0.43 and 0.68. The paper introduces a "standard" GDP growth accounting equation where current productivity is a function ofprevious R&D. The results indicate that OLS estimates of spillovers from R&D have an upward bias of more than 40%.     

Determinants of R&D in knowledge-intensive business services firms

Research and development (R&D) is a key factor enabling firms to gather information, create knowledge and innovate. Although often seen as the preserve of goods-producing sectors, knowledge-intensive business services (KIBS) in particular also engage in R&D. In this paper, we are interested in understanding the determinants of R&D in KIBS. We address this question by exploring factors connected to R&D in KIBS, with attention to whether it is connected with internal capabilities or to establishments' openness. We show that KIBS' R&D is associated with internal capabilities, and that recourse to external R&D is part of a strategy of openness that complements internal capacity. We also suggest that KIBS's own view of R&D is aligned with R&D in the goods-producing sector, leading establishments in non-technological KIBS sectors to under-report R&D.     

The effect of outward investment to China on domestic R&D: a two-hurdle model with endogenous ODI

Outward direct investment (ODI) and domestic R&D are interrelated, but empirical evidence is affected by the nature of a firm's data, which are heavily censored. Firm data contain a firm's yes/no decision to invest in China, yes/no decision of R&D, and the decision of R&D intensity. We thus adopt a two-hurdle model and allow the China investment decision to be endogenous in an R&D model in order to examine the effect of ODI in China on domestic R&D investment in Taiwan's electronics industry. In the model, a two-equation simultaneous subsystem is formed, in which three regression equations are specified: a decision of R&D intensity, and a yes/no decision of location to conduct R&D together with a yes/no decision to invest in China Our results indicate that China investment and R&D intensity are positively related such that ODI in China helps to raise significantly a firm's R&D intensity as compared to the estimate if the endogeneity of China investment and the nature of data were not properly accounted.     

中国研发投入的动态演化

R&D investment is enterprises’ strategy based on the market demand on innovative products and its production capacity for them. Enlarging market demand would spur the enterprises’ R&D input and the enhancement of technology state in production ability could have a complex effect on less developed countries’ R&D expenditure. With the measurement of China’s technology state compared to the United States and Japan, this paper explores with the state space model the dynamic effects of determinants on China’s R&D expenditure with the data during 1987–2006. The result illustrates that the growing national income, a proxy of domestic market demand, impedes the further R&D investment in China due to the enormous demand for necessities dominated by lower income class, and the income inequality is the major incentive for R&D investment via the higher pricing on the wealthy group, and that the improvement of technology state reduces the innovation risk and plays an important role in stimulating R&D expenditure.      

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.     

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.     

R&D Activities In a Peripheral Region: an Empirical Study with Special Reference to the North East Region of the UK

This study examines the incidence of research and development (R&D) activities, type of R&D undertaken and the incidence of R&D co-operation among manufacturing firms located in a key urban area of the North East England, a peripheral region of the UK. We have found that over 62% of manufacturing firms in this urban growth area to be R&D active, suggesting that R&D active firms tend to be concentrated in urban area s in a peripheral region, as it is the case in the leading regions. However, the incidence of R&D co-operation was found to be relatively low among R&D active firms. It is also found that the key determinants of undertaking R&D to be the existence of a core competence/product and exporting activities. These findings might be of interest to policy makers promoting economic growth via firm’s R&D activities.     

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.     

Infra-industry spillovers and R&D cooperation: Theory and evidence

We analyse both the theoretical and the empirical side of the issue of R&D spillovers. Each firm's R&D costs are increasing in the amount of information transmitted to other firms, and we account for the possibility that firms control spillovers. We consider both Cournot-Nash and Cournot-Stackelberg behavior. The empirical analysis suggests that (i) firms' control on spillovers is relatively low; (ii) the cost-saving effect associated to joint ventures or R&D cartels is confirmed for industries where firms rely mainly upon own R&D as a source of innovation; (iii) R&D cooperation may increase information sharing, thereby enhancing spillovers.     

Profit-maximizing R&D in response to a random carbon tax

This paper determines a firm’s profit-maximizing R&D response to an uncertain carbon tax, for two different R&D programs: cost reduction of low carbon energy technologies and emissions reductions of currently economic technologies. We find that optimal R&D does not increase monotonically in a carbon tax. R&D into alternative technologies increases only if the firm is flexible enough; R&D into conventional technologies first increases then decreases in a carbon tax. Firms that are very flexible may increase R&D into alternative technologies when the uncertainty surrounding a carbon tax is increased; otherwise firms will generally decrease R&D investment in uncertainty.