Technology Flows Between Industries: Identification and Productivity Effects

This paper investigates whether the Yale Technology Concordance (YTC) succeeds in identzbing technology flows between sectors. As a test, total factor productivity (TFP)-R&D regressions based on the YTC matrix are compared with regressions using technology flow data constructed fram input–output matrices and randomly created interindusty linkages. Because results based on the YTC do not dzffer markedly from the other estimates, one cannot easily infer @om the empirical evidence whether the YTC matrix appropriately captures interindusty technology flows or not.     

Impact of R&D and Technology Diffusion on Productivity Growth: Empirical Evidence for 10 OECD Countries

This paper examines the empirical evidence on the impact of performed R&D and of R&D embodied in intermediate and capital goods on productivity performance in 10 major OECD countries over the last two decades. To quantify intersectoral and international technology flows, industry-level embodied R&D variables were constructed from an input–output (IO) R&D embodiment model. The productivity variables used are discrete Divisia growth indexes of total factor productivity (TFP), which were estimated from an IO growth accounting model. The results from pooled regressions indicate that the rates of return of the R&D variables were positively significant and increasing in the 1980s. In particular, embodied R&D is an important source for TFP growth in services, indicating very high social returns of the flows of capital-embodied technology into this sector. Moreover, the information and communi-cation technology (ICT) cluster of industries played a major role in the generation and cquisition of new technologies at the international level.     

Application of the Yale Technology Concordance to the Construction of International Spillover Variables for India

Although there is increased interest in the role of international technology spillovers, empirical studies have been hampered by a host of measurement problems. This paper reviews recent attempts to address two of these problems. First, there are differing degrees of transferability of technology from one region to another. Second, both embodied and disembodied technology are transferred, and these different modes of transfer have distinct implications for both behavior and policy. To deal with the first measurement problem, the Yale Technology Concordance (YTC)—a matrix that maps patents into industries of manufacture and sectors of use—was used to construct indices of relevance of foreign technology to India. To deal with the second measurement problem, the YTC was again used to construct pools of embodied and disembodied international technology. After describing the variable construction, the paper highlights the performance of these variables in equations that predict Indian firms' R&D, technology purchases and output.     

Globalisation,industrial diversification and productivity growth in large European R&D companies

This paper aims to assess the impact of both geographic and industrial diversification of economic activities on the productivity performance of large European R&D Multinational Enterprises (MNEs). Based on the worldwide subsidiaries of these firms, we measure the performance of the firms according to their level of industrial diversification and globalisation that we proxy with the presence and importance of subsidiaries in the EU, North America and Asia–Pacific regions. The sample consists of large R&D firms that represent about 80 % of total European R&D. In general, the results indicate a positive impact from globalisation on firms’ R&D productivity, especially in the US, while a negative impact for industrial diversification is found.     

Issues in Assessing the Effect of Interindustry R&D Spillovers

This paper aims to clarify three issues concerning the weighting methodol ogy generally used to evaluate interindustry R&D spillovers. These issues concern the likely nature of the spillovers estimated through different types of supporting matrices; the similarity between input–output (IO), technology flows and technological proximity matrices; and the relevance of the assumption that a single matrix can be used for different countries. Data analyses of weighting components show that technology flows matrices are in an intermediate position between IO matrices and technological proximity matrices, but closer to the former. The various IO matrices, as well as the three technological proximity matrices, are very similar to each other. The panel data estimates of the effect of different types of interindustry R&D spillovers on industrial productivity growth in the G7 countries reject the hypotheses that a technology flows matrix can be approximated by an IO matrix and that a single IO matrix can be usedfor different countries. By transitivity, the procedure that comprises using a single technology flow for several countries is not reliable. The international comparison shows that each country benefits from different types of R&D externality. In Japan and, to a lesser extent, in the US, the rate of return to direct R&D is very high and is likely to compensate for relatively weak interindustry R&D spillover effects. In the five other industrialized countries, the reverse observation is true: strong social rates of return to R&D counterbal ance the poor performances of direct R&D.     

Innovation and Invention in Canada

This paper compares innovation survey data with invention data as recorded by patents (and, therefore, the basis of the Yale Technology Concordance), presenting input–output tables for both data sets. We describe and compare the intersec-toral flows of technology from the industry of manufacture (IOM) to the sector of use (SOU); compare patent-to-innovation ratios by industry; and present correlations between innovation, invention and R&D by industy. One significant conclusion is that, while innovation and invention data are highly correlated in the IOM, they diverge on the SOU, especially in certain key industries that we identify.     

R&D,Interindustry and International Technology Spillovers and the Total Factor Productivity Growth of Manufacturing Industries in Canada, 1974-1989

The paper presents new econometric evidence on the relationship between total factor productivity growth and the R&D expenditures of Canadian manufacturing industries in the presence of interindustry and international spillovers of technology. In contrast to studies that presume that international spillovers are incorporated in imports of intermediate and/or capital equipment goods, the present paper assumes that the principal channel of transmission of new technology is foreign direct investment. Three original proxies for international spillovers use information on patenting, the size and the origin of foreign ownership in the host country and the R&D expenditures in the country of origin. The results suggest that the nexus between industry's own R&D expenditures and the TFP growth is significant and positive, especially for the process-related R&D. Domestic interindustry spillovers of new technology have a larger effect on TFP than industry's own R&D expenditures. All three proxies for international technology spillovers are associated positively and significantly with TFP growth. However, international spillovers contribute to TFP growth less than domestic interindustry spillovers and less than own process-related R&D.     

Interindustry R&D Spillovers for Electrical and Electronic Products: The Canadian Case

This paper estimates the effects of interindustry R&D spillovers on the cost and production structure for 10 Canadian manufacturing industries. Because of their high-tech nature and productivity performance, spillovers from electrical and electronic products are distinguished from other spillover sources. Generally, spillovers from electrical and electronic products generate cost reductions and render production processes for Canadian manufacturing industries more capital intensive (i.e. either more physical or R&D capital intensive). Social rates of return for R&D capital are calculated for all 10 industries. The social rates are 5–11 times greater than are the private rates. Indeed, the social rates are high for all the industries. This implies that the electrical and electronic products industry is an important interindustry spillover source but, like other industries, a major spillover-using industry.     

Technology Flows Matrix Estimation Revisited

This paper revisits the methodological problems of estimating matrices showing how technological advances--measured by industry research and development outlays--flow from industries of origin to using industries. An early effort relied upon the analysis of 15 112 US patents. Several alternative methods are explored to address methodological questions concerning the choice of carrier matrices, the handling of diagonal elements, and the treatment of capital goods flows. Technology flow matrices estimated using diverse combinations of assumptions are tested for goodness-of-fit relative to the original patent-based matrix and for their ability to "predict' productivity growth in Solowian regression equations. Although some anomalies emerge, the best results are obtained using combined first-order transactions and capital flows matrices with diagonal elements adjusted to reflect the ratio of internal process to all R&D spending. However, flow data compiled using the Leontief inverse matrix add explanatory power in productivity growth regressions.     

Intangible investment in people and productivity

Organizational activity, information and communication technology work, and research and development (R&D) can be classified as work that creates intangible capital. We measure the returns to these three types of labor input by accounting for differences in their productivity compared with other labor inputs using Finnish firm-level data from 1998 to 2008. We apply a novel idea to use hiring as one proxy for productivity and demand shocks. We find that organizational workers increase total factor productivity and improve the profitability of high-productivity firms. R&D workers account for a large share of intangible capital; however, the returns to R&D are low. Investments in organizational competence are more likely to result in more rapid productivity growth. Firms with performance-related pay or domestically owned firms with extensive foreign activities have been among the highest performers with respect to the use of organizational work.     

Spillovers,Linkages and Technical Change

Using US input–output data for the period 1958–87, I find strong evidence that industry total factor productivity (TFP) growth is significantly related to the TFP performance of the supplying sectors, with an elasticity of almost 60%. R&D intensity is also found to be a significant determinant of industry TFP growth, with an estimated return of about 10–13% and the return to embodied R&D is estimated at 43%. Direct productivity spillovers, from the technological progress made by supplying sectors, appear to be more important than spillovers from the R&D performed by suppliers. They also play a key role in explaining changes in manufacturing TFP growth over time. Changes in the contribution made by direct productivity spillovers to TFP growth account for almost half of the slowdown in TFP growth in manufacturing from 1958–67 to 1967–77, and for 20% of the TFP growth recovery in this sector from 1967–77 to 1977–87. Changes in R&D intensity and embodied R&D are relatively unimportant in explaining movements in manufacturing TFP growth over these three periods.     

The R&;D and productivity relationship of Korean listed firms

This study analyzes the relationship between R&D investment and the productivity of Korean R&D-engaged firms. An interdependent chain of equations including the propensity to invest, R&D investment and productivity are estimated in a multi-step procedure accounting for selectivity and simultaneity biases. Using Korean firm level panel data of listed firms from 1986 to 2002, we find four main empirical results. First, there is a two-way causal relationship between R&D investment and productivity for Korean listed firms. Second, Chaebol firms were associated with lower R&D growth as well as lower labor productivity growth in comparison to non-Chaebol firms. Third, there was a substantial reduction in growth rates both in R&D investment and labor productivity in 1997-1998, immediately following the Asian financial crisis. Fourth, considering the positive feedback effect from productivity growth to R&D growth, a decrease in R&D investment growth after the Asian financial crisis should have been harmful by further decreasing productivity growth.     

Contributions and Channels of Interindustry R&D Spillovers: An Estimation for Japanese High-tech Industries

This paper estimates the contributions of R&D spillovers to four high-tech industries in Japan—general machinery, electrical machinery, transportation machinery and chemicals—by estimating the trans-log cost and share functions that include the R&D stock variables of own and spillover-source industries. The candidates for spillover- source industries are selected on the basis of large R&D flow or R&D proximity. The R&D flow measures the spillover embodied in purchased intermediate goods using input–output coefficients. The R&D proximity measures the extent of similarity between a pair of industries of the distribution of R&D expenditures across research fields, and is expected to show the likelihood of spillover at the R&D stage. The results suggest that electrical machinery benefited from R&D in the chemical industry, through the purchase of intermediate goods, whereas general machinery and transportation machinery benefited from R&D in the metal products industry, through R&D proximity. There was no evidence of the chemical industry benefiting from R&D spillovers. These results clearly imply that the contributions and the channels of R&D spillovers are diverse, casting doubt on earlier studies that used weighted sums of R&D expenditures (or their stocks) of other industries as aggregate spillover variables.     

Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors

The main objective of this study is to investigate the impact of corporate research and development (R&D) activities on firm performance, measured by labour productivity. To this end, the stochastic frontier technique is used on a unique unbalanced longitudinal dataset comprising top European R&D investors over the period 2000–2005. In this framework, this study quantifies technical inefficiency of individual firms. From a policy perspective, the results of this study suggest that if the aim is to leverage firms’ productivity, the emphasis should be put on supporting corporate R&D in high-tech sectors and, to some extent, in medium-tech sectors. On the other hand, corporate R&D in the low-tech sector is found to have a minor effect in explaining productivity. Instead, encouraging investment in fixed assets appears important for the productivity of low-tech industries. Hence, the allocation of support for corporate R&D seems to be as important as its overall increase and an ‘erga omnes’ approach across all sectors appears inappropriate. However, with regard to technical efficiency, R&D intensity is found to be a pivotal factor in explaining firm efficiency and this turns out to be true for all industries.     

The contribution of research and innovation to productivity

This paper examines the impact of investment in research and innovation on Australian market sector productivity. While previous studies have largely focused on a narrow class of private sector intangible assets as a source of productivity gains, this paper shows that there is a broad range of other business sector intangible assets that can significantly affect productivity. Moreover, the paper pays special attention to the role played by public funding for research and innovation. The empirical results suggest that there are significant spillovers to productivity from public sector R&D spending on research agencies and higher education. No evidence is found for productivity spillovers from indirect public funding for the business enterprise sector, civil sector or defence R&D. These findings have implications for government innovation policy as they provide insights into possible productivity gains from government funding reallocations.     

Technological spillovers and productivity in Italian manufacturing firms

We study whether a firm’s total factor productivity dynamics is positively influenced by its own R&D activity and by the technological spillovers generated at the intra- and inter-sectorial level. Our approach corrects simultaneously for the endogeneity and the selectivity biases introduced by the use of a firm’s own R&D as a regressor. The evidence suggests that a firm’s involvement in R&D activities accounts for significant productivity gains. Firms also benefit from spillovers originating from their own industries, as well as from innovative upstream sectors.     

The impact of R&D on factor-augmenting technical change – an empirical assessment at the sector level*

The aim of the paper is to quantify endogenous factor-augmenting technical change driven by R&D investments in a panel of 11 OECD countries over 1987–2007. This paper contributes to the scant empirical evidence on the speed, sources and direction of technical change for various sectors and production factors. Assuming cost-minimization behavior, a CES framework is used to derive a system of equations that is estimated by a GMM system estimator. The estimated factor-augmenting technology parameters show that in most sectors, technical change was labor-augmenting and labor-saving. Statistically significant effects of manufacturing and services R&D were found on factor-augmenting technical change (with the highest R&D elasticities found in the high-tech manufacturing and transport, storage and communication sectors). Whereas ‘in-house’ R&D stimulates total factor productivity, R&D spilled over to other sectors has a capital-augmenting effect accompanied by a higher use of labor. The results of this study provide a starting point for incorporating endogenous factor-augmenting technical change in impact assessment models aimed at broad policy analysis including economic growth, food security or climate change.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

Effects of intellectual property rights and patented knowledge in innovation and industry value added: A multinational empirical analysis of different industries

Technological innovation drives long-term economic growth, so most countries attempt to provide an innovation-friendly environment that includes tightening protection of intellectual property rights (IPR). However, debate continues on whether strengthened IPR lead to technological development and economic growth: patents promote innovation by protecting appropriation from invention and disclosing knowledge to the public, but they also create excessive monopoly power that may impede further innovation.Using simultaneous equations with cross-country panel data from 12 countries and 3 industries (chemical, electronic, machinery), we estimated the direct effect of IPR on industry value added and the indirect effect of it through enhanced research and development (R&D). The bilateral role of IPR, as measured by patented knowledge, was used to distinguish different characteristics of industries as well as the positive and negative effects of IPR on innovation.Results suggest that IPR generally enhance industry value added, but the positive effect is mitigated with increased enforcement of IPR. Also, IPR enhanced R&D but showed a negative relationship with patented knowledge, suggesting that excessive propertization of knowledge may hinder sequential innovation. The positive role of IPR on R&D predominated in the chemical (discrete) industry and exerted negative effects in the electronic and machinery (complex) industries.     

A model of intersectoral flow of technology using technology and innovation flow matrices

This paper builds a simple general equilibrium model that sheds new light on the mechanism of intersectoral flows of technology. It explicitly models the production of technology using diverse technology components as inputs. The model shows that demand shocks do not cause innovation while technology shocks as deviations from a balanced growth path induce asymmetric productivity changes across sectors. We also conduct a simple quantitative analysis using recent Japanese R&D data, which shows that most productivity effects remain within the bounds of the sector. We find some important exceptions to this rule, however, in particular for shocks occurring in information technology and precision instruments.