International,intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence

In the theoretical and empirical growth literature, private and social returns to R&D have been identified as the key drivers of productivity gains and economic development. However, recently the debate on the relative importance of private vis-à-vis social returns has been reinforced by contributions in two emerging fields of the applied econometric literature, namely spatial panel modeling and the common factor approach, which stress the role of cross-sectional dependence as a source for a potential estimation bias linked to the measurement of returns to R&D. In this paper, we account for these methodical advances when estimating sectoral knowledge production functions for OECD countries under weak and strong cross-sectional dependence. By doing so, we are able to uncover technology- and trade-related R&D spillover channels associated with social returns to R&D, while effectively controlling for other types of productivity spillovers and latent macroeconomic shocks. Our results highlight the role played by international-intersectoral R&D spillovers for the social rate of return to R&D, while we get limited evidence for private returns to R&D once cross-sectional dependence is properly accounted for.     

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.     

International R&D Spillovers: Trade,FDI, and Information Technology as Spillover Channels*

With the rapid pace of economic integration, the productivity of a country depends not only on domestic R&D, but also on foreign R&D through technology diffusion across countries. The advancement of information technology (IT) has made the international transmission of knowledge faster and more efficient, providing an important channel for international R&D spillovers. This paper investigates three channels of international R&D spillovers: trade, FDI, and information technology. Applying panel cointegration and dynamic OLS analysis to the data for 21 OECD countries plus Israel during the period from 1981 to 1998, we find that bilateral trade remains an important conduit for international R&D spillovers. Although bilateral FDI is found to be positively related to international R&D spillovers, their impact on productivity growth is relatively small. We also find that the development of information technology has played a more important role in international R&D spillovers and productivity growth in recent years.     

The pattern of international patenting and technology diffusion

The article focuses on the impact of R&D expenditure on labour productivity using international patent applications as a technology diffusion indicator. Considering the relationship between research and productivity, the pattern of international patenting reflects the channel between the source and the destination of transferred technology. Accounting for nonstationarity and cointegration, I find that patent-related foreign R&D spillovers are present for a panel of 18 OECD countries. Moreover, nonG7 OECD countries benefit more from foreign rather than domestic R&D activities. Estimates also show that there is no significant spillover effect from bilateral trade, but confirm the impact of FDI on domestic labour productivity.     

Non‐Scale Endogenous Growth with R&D and Human Capital

This paper examines the conditions under which increasing knowledge, encapsulated in ideas for new technology through R&D and embodied in human capital through education, sustains economic growth. A general model is developed where, consistent with recent literature, growth is non‐scale (not increasing in population size) and endogenous (generated by factors within R&D and education). Recent models feature the counterfactual assumption of constant returns to existing knowledge and restrict the substitutability of inputs within R&D and education. We find that non‐scale endogenous growth is possible under less stringent conditions. The findings reconcile sustained economic growth with evidence of diminishing marginal returns in education and R&D, which suggests an ambiguous role for R&D policy.     

The effectiveness of international knowledge spillover channels

Using panel data from 16 Organization for Economic Cooperation and Development (OECD) countries for the period 1981–2000, we examine the significance of international knowledge spillovers through inward and outward foreign direct investment (FDI), intermediate goods imports, and a disembodied direct channel. Knowledge spillovers through the disembodied direct channel are approximated by using a measure of technological proximity and patent citations between countries. Using estimation models that reflect recent developments in non-stationary panel data econometrics, we show that international knowledge spillovers through inward FDI and the disembodied direct channel are significant and robust. In contrast, outward FDI and imports of intermediate goods are not conducive to international knowledge spillovers.     

Inventing together: exploring the nature of international knowledge spillovers in Latin America

This paper studies the nature, sources and determinants of international patenting activity in Latin American countries (LACs) and examines the extent to which LACs benefit from R&D that is performed in the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). By using patents and patent citations from the United States Patent and Trademark Office, we trace sectoral knowledge flows from G-5 countries to LACs. We study the impact of three channels of knowledge flows: foreign R&D, patent citation-related spillovers, and face-to-face contact spillovers. Our results, based on data for Argentina, Brazil, Chile, Colombia and Mexico, suggest that international knowledge spillovers from the G-5 countries were a significant determinant of inventive activity during the period 1988–2003. We find that the stock of ideas produced in the USA has a strong impact on the international patenting activity of these countries. Moreover, controlling for US-driven R&D effects, bilateral patent citations and face-to-face relationships between inventors are both important additional mechanisms of knowledge transmission. Some of our results suggest that the latter mechanism is more important than the former.     

International Transmission of Technology and Trade: The Role of Cross-country Heterogeneity

In the framework where the channel of international transmission of technology is trade in intermediate inputs, this paper investigates the role of heterogeneities across countries. In particular, this paper analyzes how cross-country differences in production structure, national innovative capacity, and absorptive capacity affect the scope and magnitude of international R&D spillovers on productivity. The study is based on the industry-level data set that covers eight OECD countries from 1970 to 1995. It finds that accounting for cross-country differences in each of production structure (using country-specific input–output relations) and national innovative capacity (using patents granted per R&D investment) yields significantly different spillover effects than previous studies. This suggests that the effect of international R&D spillovers depends on both production structure and the pattern of international trade. Further, it finds the absorptive capacity of a country is positively related to spillovers.     

Competition policy in open economies

Abstract

This paper examines aspects of R&;D spillovers across countries, in particular, the role of international trade and human capital as the catalysts for international diffusion of technology. We present a new way of measuring foreign R&;D stocks embodied in foreign intermediate goods and capital equipment, which we argue is free from the criticism of previous measures. With the pooled panel data spanning 1970 through 1995 for 103 countries, we find that the effects of foreign R&;D on total factor productivity growth of both industrial countries and developing countries are substantial and that human capital is the most influential channel for absorbing foreign R&;D spillovers.     

R&D subsidy and output subsidy in a duopoly: The role of technology spillover and R&D budget

Technology spillover and research and development (R&D) budget are relevant on government subsidies that aim at improving social welfare through enhancing R&D incentives of firms. However, there has not been related literature considering these two factors. To fill this gap, this paper examines the effect of technology spillover and R&D budget on R&D competition of duopolistic firms and government subsidies by constructing a game-theoretic model. We find that while each firm's profit sometimes increases with R&D budget for low coefficient of technology spillover, this profit may decrease with R&D budget for high coefficient of technology spillover due to the intensified R&D competition. We show that when both R&D budget and the coefficient of technology spillover remain high, R&D subsidy leads to higher social welfare than output subsidy and otherwise R&D subsidy results in lower social welfare.     

Patents,technological inputs and spillovers among regions

This article analyses the importance of different technological inputs (R&D and human capital) and different spillovers in explaining the differences in patenting among Spanish regions in the period 1986 to 2003. The analysis is based on the estimation of a knowledge production function. A region's own R&D activities and human capital are observed to have a positive significant effect on innovation output, measured by the number of patents. R&D spillovers weighted by the distance and the volume of trade flows between regions cause positive effects on a region's patents. However, distance matters more than the intensity of trade flows and the R&D spillover effects between regions are bounded: spillovers from closer regions perform better than spillovers from distant regions. On the opposite side, human capital spillovers do not cause any effect outside the region itself.     

国际贸易、R&D溢出和生产率增长

本文采用6种计算外国R&D资本的方法和国际R&D溢出回归方法,首次就国际R&D溢出对中国工业行业的技术进步增长、技术效率增长和全要素生产率增长的影响作了实证分析。我们从这6种方法的比较中发现:当采用有缺陷的两种方法时,得到国际R&D溢出系数显著为负或者溢出系数为正,但不显著的结论;而采用其他的四种方法,能得到国际R&D溢出系数显著为正的结论。因此,从计算方法本身及其结论的比较来看,通过国际贸易渠道的R&D溢出促进了中国工业行业的技术进步、技术效率及全要素生产率增长的结论更可靠。同时发现在大部分情况下国内本行业R&D与其他行业R&D对行业技术进步、技术效率和全要素生产率的增长起阻碍作用。因此,加强与R&D投入比重较高的发达国家的国际贸易以及提高国内自身的R&D效率显得很有必要。     

International technology diffusion and economic growth: Explaining the spillover benefits to developing countries

Technology spillovers offer great opportunities for economic growth to developing countries that do little, if any, R&D activity. This paper explores the extent to which these countries benefit from foreign technology, the diffusion mechanisms involved, and the factors that shape their absorption capabilities. Results based on a non-stationary panel of 55 developing countries indicate that the benefits are quite substantial: a ten-percent increase in foreign R&D stock is translated into more than a two-percent increase in aggregate productivity. Of the diffusion channels considered, imports appear to be more conducive to R&D spillover. In addition, developing countries that enjoy larger benefits tend to exhibit larger stock of human capital, more openness to trade and foreign activities, and stronger institutions. These North–South R&D spillovers, although larger than previously suggested, appear less strong than North–North spillovers, adding to the general literature on economic divergence between developed and developing countries.     

Measurement of Technology Spillovers

This paper builds an externality-based model with physical and R&D capital, proves the linearity of technology functions, and derives two measures of spillovers from the relative differences between social and private rates of return. China’s regional empiric studies exhibit a reverse direction of spillovers between foreign invested firms and local economy and provide an estimation of the spillover measures of between 13% and 18%.     

Spillovers,subsidies, and second‐best socially optimal R&D

This paper provides a thorough second‐best welfare analysis of the standard two‐stage model of R&D/product market competition with R&D spillovers. The planner's solution is compared to the standard non‐cooperative scenario, the R&D cartel, and the cartelized research joint venture (or joint lab). We introduce the notion of a social joint lab, as a way for the planner to avoid wasteful R&D duplication. With no spillovers, the non‐cooperative scenario, the joint lab, and the second‐best planner's solutions coincide. However, with spillovers, all three scenarios yield R&D investments that fall short of the socially optimal level. To shed light on the role of the spillover level on these comparisons, we observe that the gaps between the market outcomes and the planners solutions widen as the spillover parameter increases. Finally, we establish that a social planner and a social joint lab solutions may be achieved starting from any of the three scenarios by offering firms respective suitably weighted quadratic R&D subsidization schedules.     

Spillovers in R&D activities: An empirical analysis of the Nordic countries

This paper analyzes the impact of public research and development (R&D) on private sector output. It is argued that giving away public R&D will increase the input supply of private R&D and, accordingly, will enlarge business sector output. A model based on panel data for all five Nordic countries is estimated by a maximum likelihood procedure allowing for nonlinear relationships. The hypothesis is also tested within a cointegration methodology framework. Evidence is present concerning national spillovers from public R&D to private R&D in Denmark, Finland, and Iceland. For Norway and Sweden, international spillover effects seem to be more dominant. An earlier version of this paper was presented at the International Atlantic Economic Conference, October 7–10, 1999, Montreal, Canada. The authors are grateful to conference discussants and an anonymous referee for useful comments.     

Does productivity in Africa benefit from advanced countries’ R&D?

This study employs dynamic ordinary least squares and panel co-integration to estimate advanced countries’ R&D spillover effects on labour productivity in 28 Sub-Saharan African countries over the period 1992–2011. Results show that African countries that import and receive (technical and non-technical) development aid from advanced countries experience an increase in labour productivity, suggesting that trade and aid are transmitters of foreign R&D. However, the extent to which labour productivity responds to R&D spillovers varies based on the country of origin, where spillovers from the USA have a greater impact compared to those from other advanced countries.     

Equal treatment and socially optimal R&D in duopoly with one‐way spillovers

This paper examines the standard symmetric two‐period R&D model with a deterministic one‐way spillover structure: know‐how flows only from the high R&D firm to the low R&D firm (but not vice versa). Though firms are ex ante identical, one obtains a unique asymmetric equilibrium (pair) in R&D investments, leading to interfirm heterogeneity in the industry. R&D cooperation by means of a joint lab is considered and compared to the non cooperative solution. The main part of the paper provides a second‐best welfare analysis in which we show that the joint lab yields a socially optimal R&D level subject to an equal treatment (of firms) constraint, which also coincides with the noncooperative solution in the absence of spillovers. We also investigate the welfare costs of this equal treatment constraint and find that they can be quite significant.     

Green Technology and Optimal Emissions Taxation

Unless an active environmental policy exists, firms have no incentive to engage in abatement or environmental R&D so policy design is of paramount importance. This design heavily depends on the way R&D spillovers operate. There are two distinct types of R&D spillover: output spillover and input spillover. An input spillover operates on the expenditure toward pollution reduction, whereas an output spillover manifests as the achieved abatement. Under optimal emissions taxation, significant differences arise due to this distinction, in particular, when the spillover operates on R&D inputs. In an oligopolistic setting, the result is higher R&D expenditure, but also higher aggregate emissions and, consequently, higher emissions taxes. By contrast, when spillovers occur in R&D output, there is a U‐shaped relationship between the optimal tax and the spillover, showing a trade‐off between the optimal tax rate and spillovers when these are low. In terms of the relative effectiveness of different R&D organization setups, combining emissions taxes with R&D cooperation, this paper shows that under low levels of R&D spillover R&D cooperation gives higher emissions reductions, whereas when spillovers are high this is not the case.     

Environmental Policy and the Direction of Technical Change

Should governments direct research and development (R&D) away from “dirty” technologies towards “clean” ones? How important is this compared to carbon pricing? We address these questions with the introduction of two model features to the literature on directed technological change and the environment. We introduce decreasing returns to R&D, and allow future carbon taxes to influence current R&D decisions. Our results suggest that governments should prioritize clean R&D. Dealing with major environmental problems requires an R&D shift towards clean technology. However, in the case where most researchers are working with clean technology, both productivity spillovers and the risks of future replacement increase. Consequently, the gap between the private and social values of an innovation is greatest for clean technologies.