FINANCIAL DEVELOPMENT AND THE SOURCES OF GROWTH AND CONVERGENCE*

We extend the deterministic, nonparametric production frontier framework by incorporating financial development. Our analysis convincingly shows that (1) failure to account for financial development overstates the role of physical capital accumulation in labor productivity growth, (2) most of this overstated contribution stems from the efficiency‐enhancing role of well‐functioning financial institutions, (3) international polarization is solely driven by efficiency changes, and (4) increased distributional dispersion of productivity is primarily driven by technological change. Model’s extensions to account for the growth effect of changes in the institutional environment only add to the argument about the overstated role of physical capital.     

Technological change,efficiency gains and capital accumulation in labour productivity growth and convergence: an application to the Spanish regions

The main objective of this article is to analyse labour productivity growth and convergence in the Spanish regions between 1965 and 1995, decomposing total factor productivity gains into technological progress and efficiency change by means of Malmquist productivity indices. On the basis of this decomposition, labour productivity growth is broken down into components attributable to technological change (shifts in the frontier), efficiency gains (movements toward the frontier) and capital accumulation (movements along the frontier). The approach followed in this study is based on work initiated by Färe et al., where a link between the economic growth and convergence literature and the production frontier approach was established. Furthermore, in the spirit of Quah's approach, the evolution of the whole distribution is considered. Thus, the analysis of the dynamics of the entire distribution of labour productivity and the factors behind it – technological progress, efficiency gains and capital accumulation – combine both approaches, yielding new insights into the process of productivity growth and convergence experienced by the Spanish regions over the last 30 years.     

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.     

Output Growth Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach

How do physical capital accumulation and total factor productivity (TFP) individually add to economic growth? We approach this question from the perspective of the quality of physical capital and labor, namely the age of physical capital and human capital. We build a unique dataset by explicitly calculating the age of physical capital for each country and each year of our time frame and estimate a stochastic frontier production function incorporating input quality in five regions of countries (Africa, East Asia, Latin America, South Asia and West). Physical capital accumulation generally proves much more important than either the improved quality of factors or TFP growth in explaining output growth. The age of capital decreases growth in all regions except in Africa, while human capital increases growth in all regions except in East Asia.     

Public and private inputs in aggregate production and growth: a cross-country efficiency approach

In a cross section of OECD countries, we replace the macroeconomic production function by a production possibility frontier, total factor productivity being the composite effect of efficiency scores and possibility frontier changes. We consider, for the periods 1970, 1980, 1990 and 2000 one output – GDP per worker – and three inputs – human capital, public physical capital per worker and private physical capital per worker. We use a semi-parametric analysis, computing Malmquist productivity indexes, and we also resort to stochastic frontier analysis. Results show that private capital is important for growth, although public and human capital also contribute positively. A governance indicator, a nondiscretionary input, explains inefficiency. Better governance helps countries to achieve a better performance. Nonparametric and parametric results coincide rather closely on the movements of the countries vis-à-vis the possibility frontier and on their relative distances to the frontier.     

Economic Growth and Convergence of EU Member States: An Empirical Investigation

The aim of this article is to construct a European production frontier using deterministic methods, and to break down growth and convergence during the period 1980–2001. The results show that EU growth is primarily driven by physical and human capital accumulation, the contribution of which is essential for the cohesion of European countries. We find capital accumulation and efficiency change to be important convergence factors within the EU, while technical change has worked against it. The approach used has also enabled us to analyze the differences in growth performance of Member States and highlight the role of human and public capital, supporting the European cohesion and development policies carried out in this period.     

NON‐SCALE EFFECTS OF INTERNATIONAL TECHNOLOGICAL‐KNOWLEDGE DIFFUSION ON SOUTHERN GROWTH AND WAGES

We develop a dynamic, general equilibrium non‐scale endogenous growth model of North–South technological‐knowledge diffusion by imitation. Countries differ in levels of exogenous productivity, human‐capital levels and R&D capacity. Growth is driven by Northern innovative R&D and the South converges towards the North. Growth is also driven by human‐capital accumulation, scale effects are removed, imitation is only feasible once a threshold distance to the frontier has been attained and is dependent on the South's relative level of employed human capital and on domestic policies promoting R&D. Imitation promotes partial convergence of inter‐country wages and governs the path of intra‐South wage inequality.     

中国省区经济增长分布的演进(1978-1998)

该文发现,进入20世纪90年代,我国省区经济增长分布从单峰状逐渐演进为双峰状,趋同文献把这种现象称为双峰趋同.该文采用数据包络法(DEA)把我国30个省区的增长归因于物质资本、人力资本和技术进步、技术转移(效率提高),探索我国省区增长分布演进的机制,发现物质资本主导着我国省区经济增长分布的演进,而且该发现是相当稳健的.     

ENDOGENOUS HUMAN CAPITAL INVESTMENT AND THE INTERACTION OF FRONTIER AND ADOPTIVE KNOWLEDGE ON GROWTH AND WAGE INEQUALITY

A three-sector, overlapping-generations growth model endogenizes the opportunity cost of human capital formation and the relative skill requirements of invention, innovation, and adoption of general-purpose technologies. As a result, the relative wage of skilled workers is a function of the endogenous ratio of total-to-adoptive knowledge (where the difference in knowledge stocks is frontier knowledge). Comparative statics are examined for the model's seven parameters. Simulations (representing a transition with phases to a more complex level of economic development) are presented for simultaneous exogenous shocks capable of matching (i) observed inverse movements of the relative wage and the detrended relative supply in the USA, (ii) the sharp slowing and recovering US multifactor productivity growth data since the 1970s, and (iii) a reconciliation of data used to support or deny skill-biased technological change as a major force driving up the relative wage since 1980.     

Productivity growth and catching up: a technology gap explanation

This paper seeks to explain why some countries have managed to catch up in terms of labor productivity over the period 1993–2007 in 76 countries. By integrating the technology gap research within the standard growth-accounting approach, we introduce a methodology which allows us to split total factor productivity (TFP) change into two components: conditional technical inefficiency and the magnitude of the technology gap. We find that labor productivity growth depends both on investment in fixed capital and TFP. Fast emerging economies exhibit patterns of growth based in particular on the reduction of the technology gap, confirming the role of investment in technological capabilities to spur productivity catch-up. Looking at change in the distribution of labor productivity, emerging countries managed to shift from low productivity toward a medium level of productivity thanks to technology accumulation. Less advanced countries cannot rely only on technology diffusion and learning by doing, policies for technological capabilities accumulation are necessary.     

人力资本积累、收入分布演化与经济增长

本文建立了一个同时含有物质资本、人力资本积累及收入分布演化的内生增长模型,来研究人力资本积累、收入分布演化与经济增长的相互作用.我们发现,更高的初始收入差异将通过直接降低人力资本增长率与间接提高下一期的物质资本与人力资本比这两个渠道对经济增长率产生负面影响.另一方面,降低收入差异能获得更高的人力资本与经济增长率,这将使得低收入国家有可能追赶上高收入国家.     

Inspiration vs. perspiration in economic development of the Former Soviet Union and China (ca. 1920–2010)

Here, we discuss the role of both perspiration factors (physical and human capital) and inspiration factors (Total Factor Productivity) in the economic development of the Former Soviet Union area (FSU) and China, ca. 1920–2010. Using a newly created dataset, we find that during the Socialist central‐planning period, economic growth in both countries was largely driven by physical capital accumulation. This finding follows logically from the development policies in place at that time. During their transition periods, (i.e., starting from the late 1970s in China and the late 1980s in the FSU), China managed to keep technical inefficiency of production factors in check, largely by massively increasing its human capital, thereby lowering the physical‐to‐human capital ratio. In contrast, the FSU accomplished a similar outcome largely through reducing its stock of physical capital. As a result, although there was little difference in technical efficiency between these two economies, China's emphasis on human capital formation made it easier for this country to improve its general productivity and to increase per capita growth. This changed in the late 1990s and early 2000s, when the FSU began to recover economically, regaining its 1990 levels of output and productivity.     

Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties

This paper studies the determinants of technological catch‐up considering spatial and sectoral aggregation of industries. We investigate how geographical and technological proximity to the technology leader impact regional employment growth. We model technological progress by means of a hierarchical process of catch‐up to the technology leader. We also incorporate measures for knowledge spillover effects to test the roles of competition, specialisation, and diversity at the industry level. Empirical results using data at the county level for different economic sectors (2‐dig NAICS) for the United States indicate that human capital plays a crucial role in promoting sectoral employment growth. The association between technological/geographical distance to the technology leader and employment growth varies across sectors.     

Sources of energy productivity growth and its distribution dynamics in China

The purposes of this paper are to determine the sources of energy productivity growth at the provincial level in China and to examine the relative contributions of the sources and their impacts on regional inequality. Energy productivity change is first decomposed into five components attributable to changes in capital–energy ratio, labor–energy ratio, output structure, and technical efficiency change and technological change. Then a nonparametric analysis is implemented to statistically test the relative contributions of the components and their roles in the distribution dynamics of energy productivity. It is found that (1) changes in capital–energy ratio, output structure, and technological change contribute to energy productivity growth in China, (2) increase in capital–energy ratio caused by capital accumulation is the primary driving force for energy productivity growth, and (3) capital accumulation contributes to energy productivity convergence between Chinese provinces over the time period of 1990–2005.     

Migration, human capital accumulation and economic development

We study how the possibility of migration changes the composition of human capital in sending countries, and how this affects development. In our model, growth is driven by productivity growth, which occurs via imitation or innovation. Both activities use the same types of skilled labour as input, albeit with different intensities. Heterogenous agents accumulate skills in response to economic incentives. Migration distorts these incentives, and the accumulation of human capital. This slows down, or even hinders, economic development. The effect is stronger, the farther away the country is from the technological frontier.     

Migration,human capital accumulation and economic development

We study how the possibility of migration changes the composition of human capital in sending countries, and how this affects development. In our model, growth is driven by productivity growth, which occurs via imitation or innovation. Both activities use the same types of skilled labour as input, albeit with different intensities. Heterogenous agents accumulate skills in response to economic incentives. Migration distorts these incentives, and the accumulation of human capital. This slows down, or even hinders, economic development. The effect is stronger, the farther away the country is from the technological frontier.     

Population and Economic Growth Under Different Growth Engines

Using a growth model with physical capital accumulation, human capital investment and horizontal R&D activity, this paper proposes an alternative channel through which an increase in the population growth rate may yield a non‐uniform (i.e., a positive, negative, or neutral) impact on the long‐run growth rate of per‐capita GDP, as available empirical evidence seems mostly to suggest. The proposed mechanism relies on the nature of the process of economic growth (whether it is fully or semi‐endogenous), and the peculiar engine(s) driving economic growth (human capital investment, R&D activity, or both). The model also explains why in the long term the association between population growth and productivity growth may ultimately be negative when R&D is an engine of economic growth.     

中国工业劳动生产率分解及其对地区收入差距的影响研究

用非参数生产前沿方法将我国1978-2007年工业劳动生产率增长分解为效率变化、技术变化、物质资本和人力资本变化的贡献四个部分,并用方差分解方法估算了各部分对地区工业劳动生产率增长差异的贡献,然后采用核密度分布方法分析了上述四个部分对工业劳动生产率差距以及三次产业对地区收入差距的影响。研究发现:(1)物质资本积累是我国工业劳动生产率增长和地区差距的主要来源,人力资本积累的贡献较小;(2)效率虽然对工业劳动生产率增长的贡献较小,但却是工业劳动生产率地区差异的重要原因;(3)技术是要素非中性的,且技术进步主要发生在有效劳均资本较高的地区。(4)1978-1992年期间,地区收入差距主要来自农业劳动生产率增长差异,而在1992-2007年期间,地区收入差距则主要来自工业劳动生产率增长差异。     

The role of human capital and innovation in economic development: evidence from post-Malthusian Prussia

The effect of human capital on growth involves multiple channels. On the one hand, an increase in human capital directly affects economic growth by enhancing labor productivity in production. On the other hand, human capital is an important input into R&D and therefore increases labor productivity indirectly by accelerating technological change. In addition, different types of human capital such as basic and higher education or training-on-the-job might play different roles in both production and innovation activities. We merge individual data on valuable patents granted in Prussia in the late nineteenth-century with county-level data on literacy, craftsmanship, secondary schooling, and income tax revenues to explore the complex relationship between various types of human capital, innovation, and income. We find that the Second Industrial Revolution can be seen as a transition period when it comes to the role of human capital. As in the preceding First Industrial Revolution, “useful knowledge” embodied in master craftsmen was related to innovation, especially of independent inventors. As in the subsequent twentieth century, the quality of basic education was associated with both workers’ productivity and firms’ R&D processes. In a final step, we show that literacy had also a negative effect on fertility which increased with innovation. In general, our findings support the notion that the accumulation of basic human capital was crucial for the transition to modern economic growth.     

Sources of Japanese competitiveness and growth

This paper examines the properties of a dynamic equilibrium model focused on sectoral specialization and dynamic competitiveness in international trade. Factors of competitiveness and growth were broken down into three parameters on the export side, two parameters on the import side, and two parameters on the productivity side. Furthermore, the relation between the growth rate of productivity and the wages index is examined. In the first period, 1960–1972, the rapid change in the structure of Japanese production and the composition of Japanese exports paralleled the rapid structural change in the international market and the rapid change in the prices of Japanese exports, stimulating Japanese exports to the international market. The engine of economic growth here is a significant technological change along with improvement of labor and capital productivity. In the second period, 1973–1996, factors such as improving the quality of production, cumulative experience, and the flexibility of price elasticity were crucial factors in increasing Japanese exports. Despite the decline in growth rate of technological change, the engine continued to grow and was supported by increasing the value of the economies of scale.