The role of human and social capital in growth: extending our understanding

Human capital, institutions and social capital are now all recognisedas significant factors of growth. They have largely been studiedseparately, and although they present sufficient common characteristicsto be conceptualised as one main category distinct from physicalcapital, it may still be more important to focus on the linksbetween their specific sub-categories. Direct links with incomemay be spurious, as there appears to be a ‘web of associations’between the sub-categories, which would benefit from furtherempirical investigation. This paper reviews the literature onhuman capital, institutions and social capital, extracting threesub-categories of human capital (human skills capital, stock-of-knowledgeand entrepreneurship) and two of social capital (low- and high-rationalisation).Specific areas are then suggested for further empirical study.     

On the effects of human capital and R&D policies in an endogenous growth model

We introduce an external effect of existing technologies in human capital accumulation in an endogenous growth model and describe its steady-state and transition. We numerically solve the model to compare the quantitative effects of R&D policy with the quantitative effects of human capital policy in wealth and welfare. Although R&D subsidies have now an overall positive effect on growth, wealth and welfare, the calibration exercise shows that for plausible values for the parameters, human capital policy is simultaneously the most income and welfare-improving and the less expensive to the government.     

Human capital,employment protection and growth in Europe

Using data for a large sample of manufacturing and service sectors in 14 EU countries, this paper shows that the value added and TFP growth rate differential between high and low human capital intensive industries is greater in countries with low than countries with high levels of employment protection legislation. We also find that such negative effect of EPL is slightly stronger for countries near the technology frontier, in the manufacturing sector and after the 1990s. We interpret these results suggesting that technology adoption depends on the skill level of the workforce and on the capacity of firms to adjust employment as technology changes: therefore, firing costs have a stronger impact in sectors where technical change is more skill-biased and technology adoption more important.     

Human capital accumulation and output growth in a stochastic environment

We study the relationship between growth and volatility in a simple analytical model, where human capital accumulation depends on both deliberate and non-deliberate learning, and where stochastic fluctuations arise from both preference and technology shocks. We derive a number of new results which challenge some of the results in the existing literature. First, we show that the optimal allocations of time to working and learning are both pro-cyclical. Second, we identify a preference parameter (other than the coefficient of relative risk aversion) that is potentially crucial for governing the effect of volatility on growth. Third, we demonstrate how this effect can be either positive or negative under each type of learning, the relative importance of which is irrelevant to the outcome. Fourth, we reveal how the effect may also be different for the two types of shock. Our results may be seen as providing further explanation for the lack of robust evidence on the issue.      

High-growth versus declining firms: the differential impact of human capital and R&D

We provide evidence that both human capital and R&D increase the likelihood that a firm will be a high-growth firm in the industry. However, different from human capital, being an R&D active firm also increases the probability of substantial decline or failure, underscoring the risky nature of innovation. Quantile regression results show that, different from R&D, human capital is growth-enhancing for all firms, hence also those located in the lower quantiles of the distribution of growth rates across firms.     

Social capital,knowledge sharing,and innovation capability: an empirical study of R&D teams in Iran

Effectively encouraging employees to share valuable knowledge can increase and sustain a firm's competitive advantages. This study adopted an integrated approach to understand casual relationships among knowledge sharing (KS) enablers (social capital factors), mechanism of forming KS behaviours (knowledge collecting and knowledge donating) through individuals’ KS intention, and KS outcome (innovation capability) within research and development teams. The research model was developed by reviewing literature and tested with survey data collected from 230 employees in multiple companies in Iran. Results of partial least squares analysis indicated that social interaction ties (as a structural capital factor), trust, reciprocity, and team identification (as relational capital factors) significantly associated with KS intention. KS intention, in turn, was significantly related to KS behaviours (knowledge colleting and knowledge donating). In addition, findings revealed that members’ willingness to collect and donate knowledge can affect team innovation capability. This study also discusses the implications for fostering social capital and KS behaviours to enhance team innovation capability.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Innovative growth: the role of market power and negative selection

ABSTRACT

This paper relies on register-based statistical data from Finland to measure broad research and development (R&D), organizational capital (OC) and information and communication technology (ICT) investments as innovation inputs in addition to formal survey-based R&D and CIS survey data on innovations. The linked panel data are appropriate for a comparison of low-market-share (small) and large-market-share (large) firms. We analyze the productivity growth and profitability of Finnish firms with varying market power. In contrast to high-market-share firms, low-market-share firms are characterized by low profit derived from new innovations. This study suggests that in addition to imitative growth, a ‘negative selection mechanism’ explains the high productivity growth relative to the low profits.     

R&D competition, absorptive capacity, and market shares

This paper deals with an oligopolistic industry where firms are engaged in cost-reducting R&D activity to maximize their market shares. The existence and uniqueness of a feedback-Nash-optimal R&D strategy for each firm are discussed. Our simulations highlight that variations in spillovers hardly influence the firms' R&D investment, if their absorptive capacities to exploit extramural knowledge depend on their R&D efforts. Moreover, extramural knowledge cannot completely replace in-house R&D. However, a high level of public R&D favors the firm with the most restrictive R&D expenditure constraint and/or with the lowest initial R&D stock, provided it invests in R&D.     

Human capital aggregation and relative wages across countries

Most of the growth accounting literature relies on an aggregate production function to determine the contribution of factors of production relative to that of total factor productivity (TFP) in explaining differences in incomes across countries. I show that the importance of TFP in accounting for cross-country income differences depends crucially on how skilled and unskilled labor are aggregated. Further, cross-country evidence on the relationship between relative wages and relative endowments of skilled and unskilled labor suggests that the two types of labor should not be aggregated into a single factor of production. Growth accounting decomposition using a commonly used nested-CES aggregate production function that allows skilled and unskilled labor to be used as separate factors of production results in a significantly greater role for TFP in accounting for income differences across countries than that found by past studies. The finding that different aggregate production functions lead to significantly different conclusions about the role of TFP in accounting for cross-country income differences calls for a more general approach to understanding such differences.     

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     

Human Capital and Overinvestment in R&D*

We introduce a negative effect of technological development on human capital accumulation in a growth model with endogenous innovation and accumulation of human capital. This implies a negative externality of R&D in human capital accumulation. Some calibration exercises suggest that this distortion may be sufficiently strong not only to offset the usual effects of spillovers and of returns to specialization but also to induce overinvestment in R&D.     

R&D, Learning, and Phases of Economic Growth

The role of learning and R&D in economic development is addressed in an endogenous growth model. When human capital is below a threshold level, the model predicts that skills are accumulated as the only growth-generating activity, whereas both innovation activities and learning drive growth above this level. Hence, an endogenous regime shift is triggered when the level of human capital reaches the threshold level because it becomes profitable to innovate.     

Private versus social returns to human capital: Education and economic growth in India

This paper investigates whether differences between private and social returns to education of government sector employees can contribute to an explanation of the “micro–macro paradox” in the literature on education and growth. We hypothesize that in India educated people find privately rewarding jobs in a sector in which social returns are low, namely the government sector. This could help explain high returns to education at the micro level and small or negative coefficients on education growth in growth regressions at the macro level. The empirical results, which are consistent with this hypothesis, are based on an analysis of state-level data from India spanning 40 years.     

Lagging productivity growth: Measurement,technology, and shock effects

One of the most important problems about which economists have professional knowledge is lagging productivity growth. After illustrating some significant developments this paper addresses three questions: (1) To what extent does R&;D activity drive productivity growth, (2) how do alternative measures of productivity affect the conclusions and (3) how did the oil price shocks and the increased openness of the U.S. economy affect productivity growth? After removing the influence of the extremely dynamic computer industry, average manufacturing industry productivity in the U.S. throughout the 80s grew at a disappointing pace. And it didn't improve in the most dynamic industries. But there is good news as well. First, part of the 1970s productivity slump is clearly attributable to the 1973–74 oil price shock. Second and more important, technological innovation does not appear to have lost its power in driving productivity growth forward. Indeed there is evidence of stronger and more consistent productivity effects from R&;D investment during the 1980s, although the exact channels through which R&;D enhances manufacturing sector productivity are left in doubt. Estimates of the role inter-industry technology flows play are sensitive to aggregation and the conventions used to construct the industry price deflators underlying productivity measures.     

R&D intensity,economic growth and firm-size growth: theory and practice

This article proposes a theoretical knowledge-driven horizontal research and development (R&D) endogenous-growth model to explain, for 10 innovative countries, the co-movement of the respective R&D intensity, economic growth and firm-size growth, by exploring short-medium-run and long-run growth effects. Bearing in mind some recent literature, we improve the R&D technology, by considering that R&D is more labour intensive through time as complexity increases, that the diffusion of designs is affected by coordination, organizational and transportation costs, and that a potential entrant will come up with the right idea is reduced because of the presence of a larger number of entrants. We show that when the economy is not initially in a steady state, it can take a saddle path towards the unique and locally saddle-path stable interior steady state. Both transitional-dynamics and steady-state behaviours of our theoretical model are then consistent with, respectively, the time-series and the cross-sectional evidence.     

Human capital,innovation capability and economic growth in Portugal, 1960-2001

In maintaining that the main flaw in empirical studies on economic growth derives from the fact that they employ Solow-style neoclassical growth models, rather than testing actual endogenous growth theory, we examine the human capital-innovation-growth nexus, thus testing new growth theory more directly. We test its insights against the economic evolution of an individual country, Portugal, using time series data from 1960 to 2001. Estimates based on vector autoregressive and cointegration analysis seem to confirm that human capital and indigenous innovation efforts were enormously important to the economic growth process in Portugal during the period of study. In particular, the indirect effect of human capital through innovation, emerges here as being critical, showing that a reasonably high stock of human capital is necessary to enable a country to reap the benefits of its indigenous innovation efforts.Received: November 2003, Accepted: November 2004, JEL Classification: C22, J24, O30, O40 Correspondence to: Aurora A.C. TeixeiraThe authors are grateful to two anonymous referees, Paulo Brito and the participants of the 2003 Portuguese Society for Economics Research (SPiE) in Lisbon, Portugal for helpful comments and suggestions. CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.     

Growth and human capital: good data,good results

We present a new data set for years of schooling across countries for the 1960–2000 period. The series are constructed from the OECD database on educational attainment and from surveys published by UNESCO. Two features that improve the quality of our data with respect to other series, particularly for series in first-differences, are the use of surveys based on uniform classification systems of education over time, and an intensified use of information by age groups. As a result of the improvement in quality, these new series can be used as a direct substitute for Barro and Lee’s (2001; Oxford Economic Papers, 3, 541–563) data in empirical research. In standard cross-country growth regressions we find that our series yield significant coefficients for schooling. In panel data estimates our series are also significant even when the regressions account for the accumulation of physical capital. Moreover, the estimated macro return is consistent with those reported in labour studies. These results differ from the typical findings of the earlier literature and are a consequence of the reduction in measurement error in the series.      

International migration,economic policy and human capital accumulation: a simulation study

"This paper examines the economic policy implications of international migration and human capital accumulation within a dynamic general equilibrium model. Each country produces by means of physical and human capital of two types (skilled and unskilled labour). Along optimal growth paths in a world of diverging population growth rates immigration can only be beneficial when the free rider effect (i.e., not paying for training costs) exceeds the capital dilution effect of an increase in population growth. Under quite general conditions the optimal immigration rate is zero."     

The contribution of the publicly‐funded R&D capital to productivity growth and an application to the Greek food and beverages industry

This paper follows the dual‐cost function methodology and develops a theoretical specification that assesses the contribution of public R&D capital to the productivity growth. The empirical application focuses on the Greek food and beverages industry. For this purpose it employs a micro‐aggregated annual data set over the period 1976–2002. The regression analysis shows that publicly‐funded R&D capital is a productive input as 8.7% and 7.3% of the total factor productivity growth in the food industry and in the beverages industry respectively is attributed to the publicly‐funded R&D capital. The relationship between publicly‐funded R&D and privately‐purchased inputs is also examined.