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.     

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.     

International endogenous growth,macro anomalies,and asset prices

This paper develops a two-country production economy with complete and frictionless financial markets and international trade in which investments in research and development (R&D) by entrants lead to endogenous new firm creation and economic growth. Innovative entrants use both consumption goods in their innovation technologies to capture international technological spillovers. Households also consume both goods. Specifically, I compare the equilibrium implications from the model with technology spillovers to the ones from an equivalent model without technology spillovers, i.e. a model where entrants only use domestic final goods in their R&D expenditures. With these two models at hand, new insights on the interplay of endogenous growth and long-run risks, technology spillovers, complete financial markets, and international trade are obtained, particularly with respect to international macro and asset pricing anomalies. The novel technology spillover channel has the potential to help explaining a number of these anomalies.     

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.     

Imputed Interindustry Technology Flows - A Comparative SMFA Analysis

This paper shows how the pattern of an interindustry R&D flow system can be detected using a Subsystem-MFA (SMFA). The standard subsystem analysis shows the innovation spillovers of the relevant innovative sectors of a country, which are then turned into graphical form so that the sector clustering into this system can be displayed like a 'molecule' of sectors. The analysis uses the recently published input-output tables of the OECD for Germany, Japan and the United States for the beginning, the middle and the end of the 1980s. The analysis uses R&D-expenditures as an innovation-indicatorvector, published also by the OECD. The results show that there are specific patterns of interindustry imputed R&D flows that differ to some extent between the given countries. These differences can be interpreted as being due to the specific economic history of these countries.     

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.     

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.     

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.     

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.     

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.     

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.     

International R&D Spillovers: An Application of Estimation and Inference in Panel Cointegration

In this paper, we apply the asymptotic theory of panel cointegration developed by Kao and Chiang (1998) to Coe and Helpman's (1995) international R&D spillovers regression. The OLS with bias-correction, the fully-modified (FM) and the dynamic OLS (DOLS) estimations produce different predictions about the impact of foreign R&D on total factor productivity (TFP) although all the estimations support the result that domestic R&D is related to TFP.     

Corporate cash holdings and total factor productivity – A global analysis

Studies concerning total factor productivity (TFP) have investigated the effect of TFP on economic growth from a country-level perspective, which is a critical issue in the macroeconomics field. Few studies have examined how corporate financial decisions influence TFP from a firm-level perspective. Specifically, no extant studies have investigated how cash holdings affect firm productivity. This study utilizes data for firms in 65 countries during 1993–2017 to investigate the effect of cash holdings on TFP from a corporate perspective. The findings show that firms with higher cash holdings can enhance TFP. The results hold after considering endogenous problems, financial constraints, financial crises, corporate governance, institutional quality, and financial development as well as various robustness tests. Furthermore, we examine whether firms consistently invest their cash holdings into research and development (R&D) expenditures enhances firm productivity. The evidence indicates that higher cash holdings lead to steady increases in R&D expenditure, which improves firms’ TFP.     

PATENTS,R&D,AND TECHNOLOGICAL SPILLOVERS AT THE FIRM LEVEL: SOME EVIDENCE FROM ECONOMETRIC COUNT MODELS FOR PANEL DATA

This paper analyses the relationship between the main determinants of technological activity and patent applications. To this end, an original panel of 181 international manufacturing firms investing substantial amounts in R&D during the late 1980s has been constructed. The number of patent applications by firms is explained by current and lagged levels of R&D expenditures and technological spillovers. Technological and geographical opportunities are also taken into account as additional determinants. In order to examine this relationship, several econometric models for count panel data are estimated. These models deal with the discrete nature of patents and firm specific unobservables arising from the panel data context. The main findings of the paper are first, a high sensitivity of results to the specification of patent distribution. Second, the estimates of the preferred GMM panel data method suggest decreasing returns to scale in technological activity and finally a positive impact of technological spillovers on firm's own innovation. © 1997 John Wiley & Sons, Ltd.     

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.     

Explaining Firms’ Export Behaviour: R&D,Spillovers and the Destination Market*

We examine the importance of a firm's own R&D activity and intra‐sectoral spillovers on the decision to export and the export intensity using firm level panel data for Spain for the period 1990–98. Own R&D activity is found to be an important determinant of export activity. There is little evidence to suggest that Spanish firms benefit from spillovers of the exporting activity of others. However, there is evidence that R&D spillovers exert positive effects on firms’ export ratios. We find a larger marginal impact of R&D spillovers on export intensity of firms exporting to other OECD countries than those exporting to non‐OECD nations.     

Trade and product innovations as sources for productivity increases: an empirical analysis

Increases in total factor productivity (TFP) are commonly associated with technological innovations measured by the stock of R&D. Empirical evidence seems to corroborate this relationship. However, in trading countries like The Netherlands, productivity increases, even in industry, can also be the result of innovations in the way transactions are managed. These innovations reduce transaction costs and exploit the welfare gains from (further) international division of labour. Such innovations are only partly included in R&D data. Consequently there is not much attention for these ‘trade innovations’—as we label them—in policy. In an empirical analysis this paper compares the influence of trade innovations with the influence of the stock of R&D on TFP in The Netherlands. The regression results show that in this country trade innovations are as important for TFP as technological innovations which directly affect the efficiency of production, which we label ‘product innovations’.      

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.     

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.     

How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level

Although significant progress has been made in China's basic research in recent years, there remains a wide gap between research in China and that from developed countries. How to optimize the allocative efficiency of research resources is of great importance for increasing research output. In this paper, using the fixed effect stochastic frontier model based on the translog production function, we estimate output and substitution elasticities of research and development (R&D) inputs at universities in China's provincial level during 2009–2016. We find that the R&D technical efficiency of China's universities, after a rapid growth, has tended to become relatively stable. Improvements of internationalization degree and exogenous R&D capabilities are conducive to promoting R&D technical efficiency, whereas expenditures from government grants inhibit the promotion of R&D technical efficiency; the effects of R&D capital deepening and internet penetration are not evident. The output elasticity of R&D capital is much higher than that of R&D personnel, suggesting that R&D capital is the main driving force of research output. The substitution elasticity between R&D capital and personnel has experienced a change from substitution to complementary since 2014. To realize sustained growth of research output, we should increase R&D input with positive output elasticity or reduce R&D input with negative output elasticity, making the necessary trade-offs according to the substitution relationship between the two R&D inputs.