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.     

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.     

Strategic R&D Location by Multinational Firms: Spillovers, Technology Sourcing, and Competition

This paper develops a model of strategic interaction in R&D internationalization decisions between two multinational firms, competing both abroad and in their home markets. It examines different incentives for foreign R&D faced by a technology leader and a technology laggard. The model takes into account the impact of local inter firm R&D spillovers, (noncostless) international intra firm transfer of knowledge, and the notion that internal R&D increases the effectiveness of incoming spillovers. Analytical results suggest that greater efficiency of intra firm transfers and greater R&D spillovers increase the attractiveness of domestic R&D for the technology leader if the technology gap with the laggard is large. The lagging firm, in contrast, increases the share of foreign R&D as foreign technology sourcing becomes more effective. Competition encourages the leading firm to engage in foreign R&D to capture a larger share of profits on the foreign market, whereas the laggard concentrates more R&D at home to defend its home market position.     

技术外溢与吸收能力:基于开放经济下的内生增长模型分析

通过构建中间产品种类扩张型的内生增长模型，本文探讨了开放经济条件下技术外溢与本国技术吸收能力影响长期经济增长的内在机理。对模型的竞争性市场均衡分析得到了均衡增长路径的稳态增长率，并就解的政策含义进行了讨论。模型的基本结论是：技术吸收能力的提高、人力资本积累以及适度的知识产权保护有利于长期经济增长，然而贸易开放度、技术水平差距对稳态增长率的影响效应具有不确定性。     

MEASURING INTERSECTORAL KNOWLEDGE SPILLOVERS: AN APPLICATION OF SENSITIVITY ANALYSIS TO ITALY

R&D spillovers are unanimously considered as one of the main driving forces of technical change, innovation and economic growth. This paper aims at measuring interindustry R&D spillovers. We apply an ‘uncertainty-sensitivity analysis’ to the Italian input–output table of intermediate goods split into 31 economic sectors for the year 2000. The value added of using this methodology is the opportunity of distinguishing between spillover effects induced by productive linkages (the Leontief forward multipliers) and those activated by R&D investments, capturing the uncertain and non-linear nature of the relations between spillovers and factors affecting them.     

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.     

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.     

R&D subsidies and export performance of manufacturing industries

One of the main purposes of government R&D subsidies is to give domestic enterprises a competitive edge in international trade of high technology products. The empirical evidence, however, is disappointing: cross-section regression approach for six industries and five countries yielded a negative impact of R&D subsidies on exports of research intensive goods. An analysis of the distribution of public funds suggests that this poor performance could at least partially be explained by the high concordance of national technology policies and the concentration of public funds on big science projects.     

Environmental regulations in private and mixed duopolies: Taxes on emissions versus green R&D subsidies

In this article, we compare two kinds of environmental regulations—emissions taxes and green R&D subsidies—in private and mixed-duopoly markets in the presence of R&D spillovers. We show that a green R&D subsidy is better (worse) than an emissions tax when the green R&D is efficient (inefficient), irrespective of R&D spillovers, whereas the existence of a publicly owned firm encourages the government to adopt a subsidy policy. We also show that the optimal policy choice depends on R&D efficiency and spillovers. In particular, when green R&D is inefficient and the spillover rate is low (high), the government should choose an emissions tax and (not) privatize the state-owned firm. When green R&D is efficient, however, an R&D subsidy is better, but a privatization policy is not desirable for society, irrespective of spillovers.     

Interindustry Technology Flows and Productivity in Finnish Manufacturing

The paper examines the importance of interindustry technology flows in finnish manufacturing in the 1980s and early 1990s. An attempt is made to distinguish between embodied technology flows and spillovers, so clarifying the spillover concept.Embodied technology covers intermediate goods and capital equipment. The embodied technology data that have been used are partly based on input—output analysis, while the spillover estimates presented are based on measures of technological distance based on the industry-specific distributions of R&D expenditures. Econometric analysis of the effects of the various technology inputs on total factor productivity implies that technology embodied in foreign machinery, domestic spillovers and, to some extent, the firms' own R&D have been the most important technology sources on average.     

Measuring Intersectoral Spillovers: French Evidence

In this paper, we measure the effect of internal R&D and various spillover concepts on productivity growth, using a database for France that covers the period 1978–92. Three spillover concepts are distinguished: rent spillovers related to investment goods; rent spillovers related to intermediate goods; pure knowledge spillovers. When production is measured by gross output, all three spillover concepts yield positive and statistically significant coefficients. Each concept has a measurable effect on technological progress at the sectoral level.     

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.     

Asset markets,relative price shocks and trade anomalies in international real business cycle models

Both relative prices and the flow of goods between countries are significantly smoother in international real business cycle models than in the data. Also, in these models, increases in output cause a worsening of the terms of trade, while in the data, these variables are roughly uncorrelated. Because the imperfect substitutability of goods already limits the ability to pool country-specific risk, restricting access to asset markets has little impact on these anomalies. However, introducing exogenous terms of trade shocks allows the model to explain these trade and price anomalies while retaining the ability to replicate other aspects of the data.     

Spillovers,absorptive capacity and agglomeration

I study knowledge spillovers in an industry where firms are heterogeneous in their ability to adopt knowledge (absorptive capacity). I set up a model in which firms choose locations anticipating potential gains and losses from other firms’ R&D activity. I apply the model to the US software industry and obtain the following results: the data supports localized knowledge spillovers; firms that have higher absorptive capacity are sorted into more agglomerated counties; ignoring firm heterogeneity leads to biased estimates of gains from spillovers; spillovers play an important role in explaining the geographic distribution of firms, but only within regions with high R&D activity.     

Endogenous Technological Spillovers: Causes and Consequences

We develop a new approach to endogenizing technological spillovers. We analyze a game in which firms can first invest in cost-reducing R&D, then compete on the human-capital market for their knowledge-bearing employees, and finally enter the product market. If R&D employees change firms, spillovers arise. We show that technological spillovers are most likely when they increase total industry profits. We use this result to show that innovation incentives are usually stronger for endogenous than for exogenous spillovers and that endogenous spillovers may reverse the result that innovation incentives are stronger under quantity competition than under price competition. Finally, we explore the robustness of our results with respect to contractual incompleteness and the number of R&D workers.     

Channels of R&D spillovers: An empirical investigation of Swiss firms

Research and development (R&D) spillovers are, potentially, a major source of endogenous growth in various recent ‘new growth theory’ models. According to these models, firms engage in R&D in order to seek rents. Public aspects of this R&D then spill over to other firms, thereby creating increasing returns relating to scale and long-term growth. The actual mechanisms by which spillovers occur has, however, not been systematically studied. In order to provide empirical facts on this issue the paper investigates the effectiveness of various channels of R&D spillovers. The analysis is based on a survey conducted among 358 Swiss R&D executives representing 127 different lines of business, mainly in the manufacturing sector. The results can be summarized as follows. First, undertaking independent R&D was perceived by the R&D executives questioned as the most effective channel of R&D spillovers at the intra-industry level. This was followed by reverse engineering for product innovations and the utilization of publications and information from technical meetings for process innovations. Second, learning methods that rely on interpersonal communication were judged as moderately effective in the following order of importance: (i) publications and technical meetings; (ii) conversations with employees from innovating firms; and (iii) hiring away employees from innovating firms. The last method, especially, is not valued as effective in the Swiss context. Third, learning methods related to the patent system—licensing technology and patent disclosures in the patent office—were seen as moderately effective or not effective at all. Fourth, the effectiveness of the various channels of R&D spillovers varies from one industry to another. Fifth, the various channels of R&D spillovers can be reduced to subgroups, so that patterns of learning of competitive technology can be established.     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.     

Spillovers of currency carry trade returns,market risk sentiment,and U.S. market returns

This paper examines the link between spillovers of currency carry trade returns and U.S. market returns. Following Tse and Zhao (2012), this paper hypothesizes that the magnitude of spillovers of currency carry trade returns is positively correlated with market risk sentiment and, therefore, has an impact on market returns. Using the G10 currencies and S&P 500 index futures, the empirical results present a high magnitude of spillover effects of currency carry trade markets. The empirical findings also show a significantly positive relationship between spillovers of currency carry trade returns and subsequent market returns. Furthermore, the results indicate that this relationship is stronger in bear markets than in bull markets. Finally, our findings show that spillovers of currency carry trade returns significantly affect the subsequent transition probabilities of market returns.     

Training,adverse selection and appropriate technology: Development and growth in a small open economy

Recent diffusion models cannot explain why the success of technology diffusion depends so critically on developing countries’ human capital levels. This paper examines three main issues. First, we endogenize both appropriate technologies and human capital formation. Second, we refine the human capital accumulation process by introducing uncertainty about worker quality and training efficiency. Finally, we allow for international diffusion of technology as a function of the host country’s endogenous ability to absorb technological spillovers. The resulting model is one of uneven growth where trade amplifies worker quality problems in laggard countries. In contrast, technology spillovers are shown to generate additional incentives to accumulate human capital in the laggard country, since this allows for faster adoption and diffusion of foreign technology in the future.     

Industrial Productivity Growth Linkages Between OECD Countries, 1970–90

Technology ‘spillovers’ are increasingly being recognized as sources of productivity growth. International ‘convergence’ in productivity levels has also been noted in recent studies. This paper reports a study of international total factor productivity (TFP) growth for 11 industrial sectors in seven OECD countries. Spillover variables are defined based on interindusty and international invention input–output (I(IO)) weights. These variables are tested against import-weighted variables. The study concludes that I(IO)-weighted R&D ‘spill-ins’ are important determinants of TFP growth and that convergence is dependent on domestic RBD.