On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

British economic growth since 1270: the role of education

This paper constructs an original database on physical capital, labor, education, GDP, innovations, technology spillovers, and institutions to analyze the proximate determinants of British economic growth since 1270. Several approaches are taken in the paper to tackle endogeneity. We show that education has been the most important driver of income growth during the period 1270–2010, followed by knowledge stock and fixed capital, while institutions have not been robust determinants of growth. The contribution of education has been equally important before and after the first Industrial Revolution. Overall, the results give strong support to the predictions of Unified Growth Theories.     

Post‐Malthusian Dynamics in Pre‐Industrial Scandinavia

Theories of economic growth hypothesize that the transition from pre‐industrial stagnation to sustained growth is associated with a post‐Malthusian phase in which technological progress raises income and spurs population growth while offsetting diminishing returns to labor. Evidence suggests that England was characterized by post‐Malthusian dynamics preceding the Industrial Revolution. However, given England's special position as the forerunner of the Industrial Revolution, it is unclear if a transitory post‐Malthusian period is a general phenomenon. Using data from Denmark, Norway, and Sweden, this research provides evidence for the existence of a post‐Malthusian phase in the transition from stagnation to growth in Scandinavia.     

Women's education and economic well-being

Evidence across regions in the world reveals patterns in school enrollment ratios and literacy that are divided along gender lines. In the developing world, apart from most countries in Latin America and the Caribbean, enrollment ratios of girls lag behind those for boys at all levels of education. Worldwide literacy rates for adult men far exceed those for women. While educational progress has been enjoyed by both sexes, these advances have failed to eradicate the gender gap. Education enhances labor market productivity and income growth for all, yet educating women has beneficial effects on social well-being not always measured by the market. Rising levels of education improve women's productivity in the home which in turn can increase family health, child survival, and the investment in children's human capital. The social benefits from women's education range from fostering economic growth to extending the average life expectancy in the population, to improving the functioning of political processes. This paper reviews recent empirical research that analyzes the benefits of women's education, describes the importance of women's education for country-level measures of economic development, and examines the implications of a gender gap in education for aggregate social well-being.     

Technological convergence, R&D, trade and productivity growth

This paper analyses productivity growth in a panel of 14 United Kingdom manufacturing industries since 1970. Innovation and technology transfer provide two potential sources of productivity growth for a country behind the technological frontier. We examine the roles played by research and development (R&D), international trade, and human capital in stimulating each source of productivity growth. Technology transfer is statistically significant and quantitatively important. While R&D raises rates of innovation, international trade enhances the speed of technology transfer. Human capital primarily affects output through private rates of return (captured in our index of labour quality) rather than measured TFP.     

New evidence on the sources of EU countries’ productivity growth—industry growth differences from R&D and competition

Recent studies on productivity growth show how competition affects innovation and TFP growth in OECD countries, but do not explicitly account for sectoral parameter heterogeneity. This paper examines whether competition and innovation have a direct effect on labor productivity growth in EU goods-producing industries separated by three different industry types. The results show that the effect of R&D on labor productivity growth is not equal across industries, but rather depends on the innovation activities of sectors. The same is true for competition and labor productivity growth. The empirical evidence indicates that in unleveled industries (i.e. industries characterized by technologically unequal firms) like Specialized Goods Suppliers and Science-Based Innovators strong labor productivity growth originates with decreased competition and increased R&D, thereby supporting Schumpeterian arguments. The findings suggest Schumpeterian effects in Supplier-Dominated Goods-Producing Industries, but reveal decreasing labor productivity growth in these sectors when competition is strongly restricted.     

The past and future of knowledge-based growth

This paper consolidates two previously disconnected literatures. It integrates R&D-based innovations into a unified growth framework with micro-founded fertility and schooling behavior. The theory suggests a refined view on the human factor in productivity growth. It helps to explain the historical emergence of R&D-based growth and the subsequent emergence of mass education and the demographic transition. The model predicts that the erstwhile positive correlation between population growth and innovative activity turns negative during economic development. This “population-productivity reversal” explains why innovative modern economies are usually characterized by low or negative population growth. Because innovations in modern economies are based on the education of the workforce, the medium-run prospects for future economic growth—when fertility is going to be below replacement level in virtually all developed countries—are better than suggested by conventional R&D-based growth theories.     

Human capital,innovation and productivity in Colombian enterprises: a structural approach using instrumental variables

ABSTRACT

In this paper we explore the R&D–innovation–productivity linkage for the Colombian manufacturing industry, paying special attention to the role of human capital. Using data from two firm-level surveys, the Survey of Development and Technological Innovation (EDIT) and the Annual Manufacturing Survey (EAM), we extend the model of Crépon, Duguet, and Mairesse [1998. ‘Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.’ Economics of Innovation and New Technology 7 (2): 115–158] (hereafter CDM) by including human capital at the investment decision stage. We implement an instrumental variable methodology to correct the potential endogeneity that may arise with the inclusion of human capital. Our results suggest that human capital has a causal effect on research and development (R&D) investment decisions, the innovation behavior of the firm, and increases the labor productivity of the firm. The conclusions highlight the relevance of human capital in the surrounding literature which stands in contrast to prior work that has not included this variable.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

Research and development,productive structure and economic effects: Assessing the role of public financing in Brazil

Investments in research and development (R&D) have played a key role in promoting productivity improvements and economic growth. This paper explores the economics effects of public R&D investment funding in Brazil, taking into account the changes in total factor productivity (TFP) in high-, medium- and low-technology sectors. Public funding plays an important role in the development of R&D activities in Brazil and its participation has increased since 2010. Our paper simulates a withdrawal of R&D investments and TFP linked to public financing from an R&D-based computable general equilibrium (CGE) model, which recognizes the stock-flow relation between R&D investment and knowledge capital. Without public R&D investment funding, the main findings indicate losses in TFP, adverse effects on the formation of physical capital, shrinkage of more intensive R&D industries, and more future dependence on the public sector for knowledge stock, especially for education.     

Impact of R&D expenditures,rainfall and temperature variations in agricultural productivity: empirical evidence from Bangladesh

ABSTRACT

This study aims to investigate dynamic relationships between research and development (R&D) expenditure, climate change (measured by annual rainfall and temperature variations), human capital (proxied by literacy) and total factor productivity (TFP) growth in Bangladesh agriculture. Pesaran’s Pooled Mean Group (PMG) estimator is used to a unique panel data of 17 regions of Bangladesh covering a 61-year period (1948–2008). In addition, the panel vector autoregression (PVAR) model is also applied to trace the responsiveness of TFP from a shock to R&D, extension services, and literacy rate. Results reveal that R&D has an insignificant impact on TFP in the short-run, while it has a significant positive impact in the long-run. The contributions of climate variables (i.e., rainfall and temperature variations) are highly significant and negative in the long run. The literacy rate is found to have a significant positive impact on TFP as expected. These results suggest that agricultural R&D investment and human capital could play an important role to ameliorate the adverse effects of climate change in the agricultural sector of Bangladesh.     

Management Ability, Long-run Growth, and Poverty Traps

This study establishes an R&D-based growth model that includes the functional difference between labor and human capital in the production of goods. In our analysis, human capital is used by the managers in the manufacturing process. Such an allocation of human capital yields three possible steady states: endogenous growth, poverty traps, and multiple equilibria. Economies are sorted into these steady states according to the endowments of labor, human capital, and knowledge. Thus, the obtained steady states explain some economic growth patterns, such as polarization and leapfrogging of economies.     

Complementarity between heterogeneous human capital and R&;D: can job-training avoid low development traps?

This paper uses a non-overlapping generations model of endogenous growth to emphasize the effect of human capital’s heterogeneity on economic growth. In addition to education, we present two different typologies of training. The first, technology-general, is independent of R&D; the second, technology-specific, is connected to the success of innovative activities and it is only provided to workers engaged in research. By extending Redding (Econ J 106:452–470, 1996), we demonstrate that human capital composition is important in determining the probability of innovation and the economy’s growth rate. Moreover, the paper shows that technology-general training avoids low development traps when R&D is absent.     

Economic development, growth of human capital, and the dynamics of the wage structure

In this paper I elucidate the sources of growth of human capital in the course of economic development. On the supply side (Section 1) I include the growth of family income, urbanization, the demographic transition, and the rising cost of time.The supply side alone cannot explain the continuous growth of human capital as it implies a self limiting decline in rates of return below those in alternative investments. Such declines are offset by growing demands for human capital in the labor market. Growth of demand for labor skills is a function of capital accumulation and of technological changes. Evidence on this hypothesis is summarized in Section 2 and on supply responses to growing demand for human capital in Section 3. Changes in the skill and wage structures in the labor market are an important part of the evidence.The reciprocal relation between economic growth and the growth of human capital is likely to be an important key to sustained economic growth. A caveat applies to indirect effects of economic growth on family instability, which may lead to a deterioration of childhood human capital in some sectors of society.     

全要素生产率与中国经济增长关系研究——基于VAR模型视角

运用TFP的变动来对经济增长潜力展开分析,是国内外经济学界的常见研究思路。从新古典模型出发,对改革开放以来的中国TFP进行估算分解,并构建TFP、GDP增长、资本增长和劳动力增长之间的VAR模型。实证研究认为,目前中国已进入跨越式发展时期,应大力发展资本市场,促进资本要素的有效流动,促进产业结构优化,将提高劳动力受教育水平作为重要发展战略,注重进行技术基础的革新,提高经济增长质量,促进经济发展方式向集约型发展方式转变。     

Short-run and long-run effects of capital taxation on innovation and economic growth

In this study, we examine the effects of capital taxation on innovation and economic growth in an R&D-based growth model. We find that capital taxation has drastically different effects in the short run and in the long run. An increase in the capital income tax rate has both a consumption effect and a tax-shifting effect on the equilibrium growth rates of technology and output. In the short run, the consumption effect dominates the tax-shifting effect causing an initial negative effect of capital taxation on the equilibrium growth rates. However, in the long run, the tax-shifting effect becomes the dominant force yielding an overall positive effect of capital taxation on steady-state economic growth. These contrasting effects of capital taxation at different time horizons may provide a theoretical explanation for the mixed evidence in the empirical literature on capital taxation and economic growth.     

Is Declining Productivity Inevitable?

Fertility has been declining on all continents for the last couple of decades and this development is expected to continue in the future. Prevailing innovation-based growth theories imply, as a consequence of scale effects from the size of population, that such demographic changes will lead to a major slowdown in productivity growth. In this paper we challenge this pessimistic view of the future. By allowing for endogenous human capital in a basic R&D driven growth model we develop a theory of scale-invariant endogenous growth according to which population growth is neither necessary nor conductive for economic growth.     

Assessing measurement errors in the CDM research–innovation–productivity relationships

ABSTRACT

The Crépon-Duguet-Mairesse 1998 article, known as CDM, initiated a structural econometric framework to analyze the relationships among research, innovation and productivity, which has been estimated most generally on the basis of cross-sectional innovation survey-type data. Some econometric implementations of the CDM approach have suggested that such data give useful but imprecise measures of the innovation output (share of innovative sales), and to a lesser degree of the innovation input (R&D). These ‘measurement errors’ may result in attenuation biases of the estimated R&D and innovation impact elasticities in the two basic CDM ‘roots’ relations of R&D to innovation and innovation to productivity, as well as in the extended production function à la Griliches linking directly R&D to productivity. Using a panel of three waves of the French Community Innovation Survey (CIS), we assess these biases and the magnitude of the underlying measurement errors, assuming mainly that they are ‘white noise’ errors. We do so by comparing two pairs of usual panel estimators (Total and Between) in both the cross-sectional and time dimensions of the data (Levels and Differences). We find large measurement errors on innovation output in the innovation–productivity equation, resulting in large attenuation biases in the related elasticity parameter. We also find smaller but sizeable measurement errors on R&D, with significant attenuation biases in the corresponding elasticity estimates, in the R&D–innovation equation and the extended production function. Simulations suggest that the measurement errors on innovation and R&D are unaffected by similar measurement errors on the capital variable.     

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.