Engines of growth in the US economy

There is good reason to believe that R&D influences on TFP growth in other sectors are indirect. For R&D to spill over, it must first be successful in the home sector. Indeed, observed spillovers conform better to TFP growth than to R&D in the upstream sectors. Sectoral TFP growth rates are thus inter-related. Solving the intersectoral TFP equation resolves overall TFP growth into sources of growth. The solution essentially eliminates the spillovers and amounts to a novel decomposition of TFP growth. The top 10 sectors are designated ‘engines of growth’ led by computers and office machinery. The results are contrasted with the standard, Domar decomposition of TFP growth.     

Advantages of backwardness and forwardness with shifting comparative advantage

This paper develops a multi-sector endogenous innovation model that is able to account for the dynamics of comparative advantage of each sector within the economy. The model in this paper assumes that two kinds of learning effects exist in R&D: advantages of backwardness and forwardness. It is shown that if the economy is divided into advanced and backward sectors, in the latter sectors, the advantage of backwardness dominates, leading to cyclic repetition of comparative advantage. However, in the former sectors, the advantage of forwardness becomes more significant, so comparative advantage among these sectors stabilizes. Thus, the direction of learning spillovers has a critical effect on the dynamics of comparative advantage. Given this result, it is shown that only R&D policies for the marginal sector are effective in facilitating economic growth. If a decision is made to facilitate R&D investment within advanced sectors, R&D taxes, rather than subsidies, should be imposed on this marginal sector. Moreover, it is shown that trade liberalization does not affect the intrinsic dynamics of comparative advantage among surviving sectors in the economy if the locus of this marginal sector does not change significantly after trade liberalization.     

我国外贸技术溢出效应的国别差异分析

技术溢出是发展中国家追赶发达国家的重要路径,溢出的渠道包括国际贸易、FDI、R＆D合作、国外R＆D投资等。我们运用经拓展后的Coe＆Helpman的贸易溢出计量模型,试图将我国从商品贸易以及FDI中所获得的技术溢出纳入同一模型中加以综合分析,并对贸易带来的技术溢出效应进行国别差异分析,以判断不同类型国家对我国吸收技术溢出效应的影响。并在此基础上,提出了相应的政策建议。     

Determinants of TFP growth: A close look at industries driving the EU–US TFP gap

This paper explores the determinants of the EU–US TFP growth gap using EU KLEMS. As found in previous analyses, TFP growth appears to be driven by catching-up phenomena associated with the gradual adoption of new technologies. TFP growth is also significantly driven by developments at the “technological frontier”, especially since the mid-1990s. Industries with higher R&D expenditures and higher adoption rates for ICT-intensive technologies appear to exhibit higher TFP growth rates, whilst human capital has mostly a significant effect across countries. Regarding determinants in industries relevant for the different TFP performance of the EU versus the US, ICT-producing industries appear to benefit from R&D in terms of stronger spillovers from TFP gains at the frontier, network utilities are strongly affected by product market regulations, whilst the retail and wholesale trade industry is significantly influenced by consumption dynamics which permit a better exploitation of scale economies.     

R＆D、R＆D溢出、内生增长和内生收敛

根据强调知识与技术创新、知识与技术溢出重要性的当代内生增长理论，本文建立了一个将R＆D和R＆D溢出与资本积累之间、R＆D和R＆D溢出与总产出增长之间直接关联起来的动态模型。面板数据协整检验实证分析结果表明R＆D和R＆D溢出与资本积累之间、R＆D和R＆D溢出与总产出增长之间分别存在显著的正面长期协整关联。进一步的分析表明，R＆D与资本积累之间、R＆D与总产出增长之间分别存在显著的长期双向格兰杰因果关系。由此观知，R＆D乃长期经济增长源泉之所在。另一方面，尽管资本积累或总产出增长并不格兰杰导致R＆D溢出，证据表明R＆D溢出格兰杰导致资本积累和总产出增长。这种由R＆D溢出到资本积累和总产出增长的单向格兰杰因果关系意味着尽管知识与技术的跨国传播并非必然发生。其实为世界经济增长的重要动力。     

R&D Policies and Endogenous Growth: A Dynamic General Equilibrium Analysis of the Case for Canada*

This paper utilizes a general equilibrium R&D model of endogenous growth via increasing capital variety to examine the impact of alternative policies on productivity and economic growth. The model is calibrated using data from the Canadian economy. Findings reveal that direct incentives such as subsidies to R&D activities would have the highest productivity impact on the Canadian economy, that an increase in subsidies to the users of R&D capital (output) would have a positive but smaller impact, and trade liberalization would have minimal effects on productivity growth via its impact on international R&D spillovers.     

How much horizontal innovation is consistent with vertical innovation?

R&D-driven growth theory emphasizes vertical and horizontal innovation activities for long run growth. In this paper, we show that the real world co-existence of both innovative activities restricts the admissible laws of motion for horizontal innovation, thereby allowing to test the admissible range of intertemporal horizontal R&D spillovers. Private arbitrage between manufacturing and vertically innovating makes quality improving R&D profitable if and only if the horizontal innovation rate does not exceed the population growth rate. Hence, the mere observation of positive vertical innovation suggests that the number of new sectors has not been increasing faster than population.     

Technology flows between sectors and their impact on large-scale firms

In this article we highlight the importance of technology flows between sectors and their impact on the labour productivity of large-scale corporations. Based on theoretical considerations, we explore technological spillovers between the sectors of an economy. Large-scale corporations usually focus on certain sectors but make use of a wide range of technological knowledge from other sectors. Thereby, technological knowledge built up in sectors by continuous R&D activities does not spill over without bounds but is directed by firms’ absorptive capacities. We use firms’ patent portfolio to empirically calculate the sector affiliation and therewith the firms’ absorptive capacities in order to estimate the impact of technology diffusion on labour productivity. Fortune 500 firms serve as data base.     

Intersectoral and International R&D Knowledge Spillovers and Total Factor Productivity

Disaggregate panel data estimates are presented of equations that relate a set of OECD countries' sectoral total factor productivity to domestic and to foreign R&D capital. The estimates indicate that there are both important international and national R&D knowledge spillovers and that these spillovers are intersectoral and intrasectoral in nature. They show that the influence of domestic R&D is stronger in the large economies and that this is caused by more important domestic intersectoral R&D spillovers. There is also evidence of a greater influence of domestic and of foreign R&D in research intensive industries and of an interaction between the domestic economy scale and the research intensity effects.     

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.     

Too Much of a Good Thing? The Economics of Investment in R&D

Research and development is a key determinant of long-run productivity and welfare. A central issue is whether a decentralized economy undertakes too little or too much R&D. We develop an endogenous growth model that incorporates parametrically four important distortions to R&D: the surplus appropriability problem, knowledge spillovers, creative destruction, and duplication externalities. Calibrating the model, we find that the decentralized economy typically underinvests in R&D relative to what is socially optimal. The only exceptions to this conclusion occur when the duplication externality is strong and the equilibrium real interest rate is simultaneously high.     

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 impact of the informal economy on R&D,wage inequality and economic growth

We extend the existing research and development (R&D) growth literature by focusing on the short–medium–long run effects of the informal sector on R&D intensity, wage inequality and economic growth, and by considering 18 OECD countries between 1990 and 2008. We show that: the steady state is unique and stable; the share of informal economy (IE) in production affects negatively R&D intensity and wage equality; Nordic countries have the lowest share of IE in production, while Mediterranean countries have the highest share of IE, wage inequality and R&D intensity but R&D spillovers are lower.     

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.     

Growth and optimal policies in an R&D-growth model with imperfect international capital mobility

In this paper, we examine the effects of international capital mobility on innovation, growth, and optimal growth policies in a small open economy with R&D-driven growth. Households can borrow funds from an imperfect international capital market to finance their investment in R&D firms. We show that the economy can reach a higher growth rate if international capital is more mobile. This result is consistent with recent empirical findings. Moreover, we show that the common growth-enhancing policies, such as patent protection and the R&D subsidies, have an additional negative welfare effect when households can access the international capital market. Accordingly, the optimal patent protection and R&D subsidy should be smaller when the degree of international capital mobility is higher.     

ChinHow R&D Investments Influence TFP Growth: Evidence from China’s Large and Medium- Sized Industrial Enterprises

This paper investigates the potential channels through which R&D may influence TFP growth using industry-level panel data of China’s large and medium-sized industrial enterprises over the period of 2000–2007. Comparing with existing literature, we provide a closer look of the relationship between R&D and TFP growth by decomposing TFP growth into efficiency change and technical change components using Malmquist productivity index and distinguishing between upstream R&D spillovers and downstream R&D spillovers. We find TFP grow slightly during 2000–2007, and R&D investment indeed serves as an engine of productivity growth just as endogenous growth theories argued, which is largely because R&D accelerates technical progress even it also results in enlarging technical inefficiency. However, we find a robust negative effect of downstream R&D spillovers on TFP growth, the effects of upstream is positive but not statistically significant. In addition, we do not find the positive effects of human capital on TFP as endogenous growth theories indicated, but find human capital severs as “assimilation device” for R&D spillovers both in promoting TFP growth and increasing technical efficiency even the effects on technical progress is adverse.     

Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures

This paper aim at assessing the impact of R&D spillovers on firms’ economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1988, 1996) which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms’ technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms’ own R&D capital, labour and physical capital are estimated by means of a Cobb–Douglas production function. The data set consists of a representative sample of 625 worldwide R&D intensive firms over the period 1987–1994.     

Spillovers and the competitive pressure for long-run innovation

This paper discusses the impact of oligopolistic product markets for innovation and growth, highlighting a novel, fundamental role of spillovers. We develop a model of endogenous growth with non-tournament R&D, where spillovers raise the relative R&D efficiency of laggards. A key feature is that the rate of innovation and the market configuration (i.e. the distribution of market shares) are jointly determined. Our results emphasize the role of spillovers in sustaining the competitive pressure that is fundamental for long-run innovation and economic growth.     

How R&;D investments influence TFP growth: Evidence from China’s large and medium-sized industrial enterprises

This paper investigates the potential channels through which R&D may influence TFP growth using industry-level panel data of China’s large and medium-sized industrial enterprises over the period of 2000–2007. Comparing with existing literature, we provide a closer look of the relationship between R&D and TFP growth by decomposing TFP growth into efficiency change and technical change components using Malmquist productivity index and distinguishing between upstream R&D spillovers and downstream R&D spillovers. We find TFP grow slightly during 2000–2007, and R&D investment indeed serves as an engine of productivity growth just as endogenous growth theories argued, which is largely because R&D accelerates technical progress even it also results in enlarging technical inefficiency. However, we find a robust negative effect of downstream R&D spillovers on TFP growth, the effects of upstream is positive but not statistically significant. In addition, we do not find the positive effects of human capital on TFP as endogenous growth theories indicated, but find human capital severs as “assimilation device” for R&D spillovers both in promoting TFP growth and increasing technical efficiency even the effects on technical progress is adverse.     

R&D policy with layers of economic integration

This paper examines whether the optimal unilateral R&D policy for an open economy is a subsidy or a tax. It constructs a general equilibrium model with three successive layers of international integration: (a) trade in goods, (b) trade in technologies with international R&D spillovers and (c) internationally-coordinated R&D policy. Trade in technologies introduces the possibility that an R&D subsidy will have such strong, negative terms-of-trade effects that it harms domestic welfare. Numerical simulations of the OECD show this is a possibility for the US and Japan. With international R&D spillovers a domestic R&D subsidy may reduce domestic innovation.