On the impact of public policies and wage formation on business investment in research and development

Against the backdrop of mediocre growth prospects in many countries, governments should do more to promote private investment in research and development (R&D). Public fiscal policies and the characteristics of wage formation are key as they affect both the incentives that firms face and their resources. This paper studies their impact at the macro level in a panel of 14 OECD countries since 1981, while we also account for the impact of unobserved common factors like the world level of knowledge. Tax incentives, government intramural expenditures on R&D, public R&D subsidies (if they are not too low nor too high) and especially investment in tertiary education, encourage business R&D investment. Wage moderation may also contribute to innovation, but only in fairly closed economies and in economies with flexible labour markets. In highly open economies with rigid labour markets, high wage pressure promotes investment in R&D. Innovation may then be the only competitive strategy for firms.     

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.     

Trade and Technology from a Schumpeterian Perspective

This paper attempts to implement empirically a Schumpeterian model of international trade. After briefly discussing the literature on trade and technology, we formulate a model in which ‘real’ factors such as R&D expenditures, investment and wage costs have an impact on bilateral trade flows between advanced economies. We also take into account the effect of exchange rate differences. The model is empirically estimated on sectoral data for nine OECD countries. We find that what determines competitiveness differs by sector. In many sectors, either R&D expenditures or wage costs are important. The results for investment indicate a weaker role. Consistent with the Marshall-Lerner logic, we find that the sign of exchange rate changes varies by sector. We conclude the paper by a discussion of the relevance of the results for ‘technology-based’ theories of international trade.     

Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

Does R&D spur productivity growth in Australia’s broadacre agriculture? A semi-parametric smooth coefficient approach

This article analyses the role of research and development (R&D) in Australia’s broadacre farming by using the semi-parametric smooth coefficient model. While the conventional production function approach only captures the direct effects of R&D, this methodology captures both the direct impact of a change in R&D on output and the indirect impact through changes in efficiency of use of factor inputs in the production process. Moreover, technical inefficiency is introduced in the model allowing it as a function of R&D. Using a unique state-level dataset covering the period 1995–2007, this empirical study finds that once both the direct and indirect effects are taken into consideration, R&D investments significantly increase outputs. The results also show that there are substantial variations in the effects of R&D on output across the state-level average farm through technology parameters as well as through technical inefficiency. Such variations need to be taken into account when designing policies for investing public R&D in agriculture.     

Sustained Comparative Advantage and Semi-Endogenous Growth

This paper constructs a two-country (Home and Foreign) general-equilibrium model of Schumpeterian growth without scale effects. The scale effects property is removed by introducing a distinct specification in the knowledge production function which generates semi-endogenous growth. In this model of semi-endogenous growth, an increase in the rate of population growth rate raises Home's relative wage and lowers its range of goods exported to Foreign. An increase in the size of innovations increases Home's relative wage but with an ambiguous effect on its comparative advantage. The model generates a unique steady-state equilibrium in which there is complete specialization in both goods and R&D production within each country.     

Intellectual property rights and skills accumulation: A product-cycle model of FDI and outsourcing

This study investigates the effects of stronger intellectual property rights (IPR) protection in the South on innovation, skills accumulation, wage inequality, and patterns of production based on a North–South general-equilibrium model with foreign direct investment (FDI) and international outsourcing. We find that stronger Southern IPR protection raises the extent of outsourcing and reduces the extent of FDI. This increases the proportion of unskilled Southerners and mitigates Southern wage inequality. In the North, stronger Southern IPR protection raises the proportion of skilled Northerners and wage inequality. The effects of international specialization, R&D cost, and Northern population are also examined.     

Minimum wage, exports and growth

Using an endogenous growth model in an open economy, we study the impact of minimum wages on growth for an innovator country. We state that a minimum wage shifts efforts from production to R&D, but only in an open economy. Thus, it speeds up long-run growth in proportional to exports. Calibrations suggest the growth surplus can be significant. An empirical study on 11 OECD countries illustrates these results. The impact on welfare is ambiguous because the minimum wage induces unemployment. However, we show that in an open economy, a minimum wage associated with unemployment benefits can Pareto dominate laissez-faire.     

The housing market,macroeconomic activity and fiancial innovation: an empirical analysis of US data

Recently, several studies have emphasized the role of R&D expenditure in determining Total Factor Productivity (TFP). In this paper it is shown that the relationship between R&D variables and TFP is far from being established. In particular, by using data for the Italian economy, it is found that the estimated effects of R&D variables on TFP crucially depends on: (i) the way in which the production function, used to derive Solow residuals, is defined; (ii) the numbers of maintained hypotheses used to estimate Solow residuals; (iii) the level of aggregation of the data employed in the empirical analysis.     

Too little or too much R&D?

According to the first generation models of endogenous growth based on expanding product variety, the market economy unambiguously generates too little R&D. Later, by disentangling returns to specialization from the market power parameter, it was shown that with sufficiently low returns to specialization too much R&D can occur. The present paper takes a step further, disentangling the market power parameter from the capital share in final output. At a theoretical level this helps finding too much R&D as well. On the other hand, in view of the empirically realistic order of magnitude between the parameters, disentangling market power and capital share tends to diminish the scope for excess R&D. Finally, by differentiating between net and gross returns to specialization we demonstrate what drives the differing inefficiency results in this literature.     

R&D and productivity: evidence from large UK establishments with substantial R&D activities

ABSTRACT

We use Office for National Statistics' micro data for large UK establishments in the production industries in the period 1997–2008 to study the relationship between their productivity and the presence of substantial R&D activities, either at the production unit itself, or at other UK reporting units owned by the same enterprise group. We estimate that total factor (revenue) productivity is on average about 14% higher at the establishments which have substantial R&D themselves, compared to those with no R&D. Among the establishments with no R&D themselves, we estimate that productivity is on average about 9% higher at those which belong to enterprise groups which do have substantial R&D elsewhere in the UK in the same sub-sector. For the establishments with substantial R&D themselves, we also estimate a significant positive relationship between current productivity and past R&D expenditure using dynamic specifications which allow for both establishment-specific ‘fixed effects’ and a serially correlated error component.     

A dynamic general equilibrium model for public R&D investment in Taiwan

In terms of economic development policies, public research and development (R&D) investment may be one of the most critical and useful tools in Taiwan, having frequently played a role in leading related overall investment in Taiwan. Although the impact channels of R&D investment are varied and complex, its benefits in terms of the development of human capital, industrial productivity, and basic research are clear. With the rapid growth of the private sector in the Taiwan economy, it is, however, debatable whether the government should continue to use the public financial budget to invest in R&D. By using a computable general equilibrium (CGE) model to simulate the impact of public R&D investment on the economy in Taiwan, the empirical evidence of the present paper is that public R&D investment gives rise to different short-term and medium-term impacts on real GDP that are mostly felt in the third or fourth years of their implementation among different industries. These impacts then gradually converge back to equilibrium in the long run. Public R&D investment boosts the technology of high-tech industries and increases exports, but it also crowds out the output of primary industries. Although the public R&D investment has a positive effect on the real wage, its effect on inflation should not be overlooked. Because of the pros and cons surrounding the impact of public R&D investment on industries and the economy, the study provided by the present paper can serve as valuable reference not only to decision-makers in government agencies but also to academic researchers.     

Quantitative growth effects of subsidies in a search theoretic R&D model

Should government subsidize R&D and does it matter how these subsidies are allocated? We examine these questions in a dynamic model where R&D is described as sequential sampling from a distribution of new ideas. Successful discoveries affect future available resources and incentives for further R&D. Consequently, there may be under-investment in R&D. We study the effect of government interventions aimed at fostering growth through R&D. Calibrating the model with aggregate data from the Israeli business sector allows us to quantitatively compare two forms of support resembling those actually used to encourage R&D in the Israeli business sector: (i) an unrestricted subsidy that may be used at the recipients' discretion to finance R&D or other investments, (ii) a subsidy earmarked by the government for R&D activities only. While there is no theoretical way to determine which of the two subsidies will have a greater impact on search for new ideas and growth, we find that in the calibrated economy both subsidies have a significant but similar impact on the economy's output and TFP growth rates. Accordingly, in the case of the Israeli business sector, the incentives to conduct R&D were sufficiently strong, and no R&D-specific encouragement was needed. However, a sensitivity analysis reveals that for economies characterized by other parameter values this result may not be true. Correspondence to: B. Bental     

Relocation and investment in R&D by firms

The literature on foreign direct investment has analyzed corporate location decisions when firms invest in R&D to reduce production costs. Such firms may set up new plants in other developed countries while maintaining their domestic plants. In contrast, we here consider firms that close down their domestic operations and relocate to countries where wage costs are lower. Thus, we assume that firms may reduce their production costs by investing in R&D and likewise by moving their plants abroad. We show that these two mechanisms are complementary. When a firm relocates it invests more in R&D than when it does not change its location and, therefore, its production cost is lower in the first case. As a result, investment in R&D encourages firms to relocate.     

Racing in two dimensions

In this paper we study an industry in which there is an ongoing sequence of R&D races between two firms. Firms are engaged in product innovation. Products are horizontally and vertically differentiated. There are two key characteristics/dimensions to products, and the level at which these are embodied in products can be increased by R&D. At each time firms can spend R&D on improving their product in one or both dimensions. We allow the possibility of economies scope — so R&D undertaken in one dimension can spillover to the other. The question we are interested in is whether a firm that is ahead in a single dimension but behind in another will focus all its R&D effort in the area in which it is ahead (product specialisation), or whether it will try to do R&D in both dimensions in the hope that it might get ahead in both and end up with a superproduct that dominates in both characteristics. The outcome of this R&D competition determines a Markov transition probability matrix determining the evolution of the industry. We show that when the R&D technology is characterized by constant returns then the only steady-state outcome is one in which the economy stays forever in a position in which one firm produces a super-product and the other gives up doing R&D altogether. This outcome is unaffected by the degree of economies of scope. When the R&D technology is characterised by decreasing returns, then the industry will visit all states and so will exhibit both product specialisation and superproduct dominance at various times. Now the extent of economies of scope matters and we show that the greater the extent of economies of scope, the less likely is the industry to exhibit product dominance, and the more likely it is to exhibit product specialisation.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

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.     

Process R&;D and Product Line Deletion by a Multiproduct Monopolist

Relative to single-product firms, a multiproduct monopolist can internalize the negative externalities of its R&D investments (the ``cannibalization effect') in two ways: (1) To lower R&D investment for each product; and (2) To delete some of its product lines so as to enlarge the market size for the remaining lines. It is shown that line deletion is profitable if products are close substitutes. If products are not close substitutes, the multiproduct monopolist keeps all product lines and invests less in cost-reducing R&D than single-product firms engaging in Cournot competition with product differentiation. However, it invests more in R&D than single-product firms if there are significant economies of scope in R&D, or if the oligopolistic firms can cooperate in their R&D decisions.      

R&D spending in the high-tech sector and economic growth

The present paper provides new estimates of the impact of investment in R&D on long-term economic growth. In particular, we estimate a dynamic empirical growth model using panel data for OECD countries from 1970 to 2004. This study is the first to investigate whether the specialization of R&D activities (i.e. share of R&D investment in the high-tech sector) has an additional effect on GDP per working age population. Using a system GMM estimator in order to control for endogeneity, we find that both the ratio of business enterprises’ R&D expenditures to GDP and the share of R&D investment in the high-tech sector have strong positive effects on GDP per capita and GDP per hour worked in the long term.     

R&D efficiency and heterogeneity – a latent class application for the OECD

Expenditures devoted to research and development (R&D) are scarce and thus need to be used as efficiently as possible given the financial constraints countries are facing. This article assesses the relative efficiency of R&D expenditures for 26 OECD member countries and two nonmember countries. As countries differ in their national innovation systems and states of economic development and industrialization, e.g. transition economies in Eastern Europe versus Asian countries versus Anglo-Saxon countries, the measurement of R&D efficiency needs to consider differences in the technology of knowledge production. By means of a latent class model for stochastic frontiers, we relax the assumption of a homogeneous technology frontier and model technological differences in knowledge production among countries. Empirical evidence suggests the existence of different classes stressing the importance of accounting for countries’ disparities within R&D efficiency analysis.