Regional unemployment and human capital in transition economies1

Differences in regional unemployment in post‐communist economies are large and persistent. We show that within‐country regional variation in inherited human capital in four such economies explains the bulk of regional variation in unemployment; we explore potential explanations. Our evidence suggests that internal skill‐biased migration and the flow of foreign direct investment are not working as adjustment mechanisms but rather help explain the lack of convergence in regional unemployment rates. Although this capital and labour mobility pattern is consistent with the presence of regional skill spillovers, we find little support for this hypothesis. Instead, the observed migration pattern appears to arise from different skill‐specific adjustments to regional shocks brought about in part by labour‐market institutions such as guaranteed welfare income.     

Regional distribution and dynamics of human capital in China 1985–2014

This study investigates the regional distribution and dynamics of human capital in China. We develop a new comprehensive human capital measure based on the Jorgenson-Fraumeni (J-F) lifetime income framework, in addition to using the traditional education-based human capital measures. We find that the new J-F human capital measure reflects more closely the regional economic disparity than the education-based measures. We also conduct a Divisia decomposition analysis to investigate the contributions of different factors to the quantity and quality growth of human capital and to regional disparity. Our results show that the regional human capital gaps in China are enlarging in general. Education and urbanization contribute most to human capital growth, while population aging shows a strong negative effect. Our estimates create a new provincial level human capital panel dataset from 1985 to 2014, which is useful for empirical work and policy analysis.     

Unemployment dynamics with international capital mobility

We study the response of domestic unemployment rates to shocks in total factor productivity for economies with high capital mobility and low labour mobility. We show that high capital mobility amplifies the impact on the domestic unemployment rate of domestic fluctuations in total factor productivity, shortens the lag of the response to shocks and raises the variability of unemployment. But average unemployment is unaffected. Capital flows increase the riskiness of labour income and reduce the riskiness of capital income but do not reduce mean welfare.     

INTERNATIONAL AND INTRA‐NATIONAL TRADE: A CONTINUUM APPROACH*

We build up a Ricardian trade model with multiple regions within a nation and examine how international trade determines interregional patterns of production and specialization. We show that the degree of interregional concentration of economic activities moves in different directions in two trading nations. The role of “absolute advantage” becomes crucial in dictating the course of income disparity across regions. We discuss cases with varying degrees of labour mobility and reconfirm the result on post‐trade interregional concentration and dispersion. Later we explore the impact of “scale factor” in this model and show how principle of comparative advantage and economies of scale interact to determine the pattern of specialization and volume of trade.     

Foreign direct investment and China's regional income inequality

China's widening regional income inequality coupled with its pronounced regional disparity in foreign direct investment stock since 1990 has claimed the attention of many scholars. While some researchers confirm regional disparity in China's foreign direct investment, others attribute the widening regional income inequality to this regional disparity. This paper thus assesses the impacts of China's stock of foreign direct investment on its regional income inequality using simultaneous equation model and the Shapley value regression-based decomposition approach. Our results suggest that China's stock of foreign direct investment has accounted for merely 2% of its regional income inequality. Furthermore, the contribution ratio of per capita foreign direct investment stock to China's regional income inequality has relatively been on a steady decline since 2002. The decomposition results also reveal that provincial per capita physical assets account for over 50% of the nation's income inequality and 65% of the increases in income inequality since 1990. The other two important determinants of regional income inequality are province location and educational level. However, educational level is found to have a decreasing effect on regional income inequality.     

Soaring dragons,roaring tigers,growling bears

We perform a comparative analysis of regional growth and convergence in China, Russia and India over the period 1993–2003 by means of non‐parametric methods and kernel density estimates. Our results indicate that wealthy regions were largely responsible for the rapid growth in all three countries. For China and India, capital dissipation was identified as the major determinant of regional growth. In Russia, capital deepening impeded positive changes in labour productivity, leaving technological change as the only source of regional growth. Furthermore, we find that the increasing regional income inequality in all three countries was driven by technological change which more than offset the convergence resulting from capital deepening in China and India.     

Economic growth and poverty traps in sub-Saharan Africa: The role of education and TFP shocks

This paper investigates the “education-total factor productivity trade-off” in explaining income per worker differences between sub-Saharan (unlucky) and G7 (lucky) economies. First, we examine the dynamics of average years of schooling (i.e. education), capital per worker, income per worker, and total factor productivity (TFP) across sub-Saharan and G7 countries. We confirm that physical capital and education levels partially explain income per worker differences between lucky and unlucky economies. Second, we undertake a novel examination of the impact of technology shocks on income per worker, with the goal of understanding the role of technology variation in causing cross-country income per worker differences, and as a potential contributor to overall slow growth in the sub-Saharan region. In a vector autoregressive (VAR) framework, we show that the impact of “ad hoc” TFP shocks on income per worker is larger in unlucky economies than in lucky ones. We observe that average TFP volatility in the “unlucky world” is eight times higher than in the “G7 world”. We argue that the order of magnitude of the impact heavily depends on the level of the TFP volatility. Last, we suggest that the documented differences in the amount of physical capital and in the productivity of human capital between these two regions add conceptual support for the existence of poverty traps for sub-Saharan Africa.     

劳动地理集中、产业空间与地区收入差距

本文基于新经济地理学模型,采用中国1990年、2000年和2007年的普查数据计算了31个省市的劳动集中度,并以此解释产业空间和地区收入差距的发展变化.文章发现:(1)人力资本集中是产业集聚形成的重要因素,人力资本集中度上升会提高地区的收入水平;(2)各省市的人力资本分布不均衡并有可能导致地区收入差距的进一步扩大.本文认为,人力资本存量差异是地区收入差距拉大的重要原因,促进劳动力充分流动、加快推进城市化建设是有效的应对之策.     

The role of Provincial Government Spending Composition in growth and convergence in China

China’s development policy since 1978 has differed across regions. With rapid aggregate growth has come widening regional inequality. The fiscal decentralisation reforms in 1994 shifted political pressure onto provincial officials to boost local growth through local public investments. These investments affect regional convergence by counteracting regulatory frictions in factor accumulation, and can also determine steady-state growth. However, the effect of public spending allocations across physical and human capital on growth and convergence processes is empirically unexplored for Chinese provinces. We take provincial time-series data on public spending by category, finding local public spending and its components augment convergence rates differently across regions. Spending on education and health contributes significantly more to growth and convergence than capital spending, confirming that the public capital-spending bias is not a local growth-optimising strategy. We suggest a policy of aligning local government promotion incentives to human capital targets to correct local resource misallocation.     

我国区域经济差异变动的原因:一个要素流动和集聚经济的视角

现有关于我国区域差异原因的研究大多忽视了地区间的要素流动和集聚经济效应对地区经济差异的影响.本文将要素流动和集聚经济效应纳入一个统一的框架下来考察我国区域差异的变化情况,通过将外部规模经济效应纳入新经济地理学模型,建立了同时涵盖外部规模经济效应、本地市场效应和要素流动的集聚经济模型.数值模拟的结论也显示,在要素流动条件下,当外部规模经济效应和本地市场效应达到一定水平时,经济活动趋于完全集聚是稳定均衡,这说明如果考虑集聚经济效应,地区间的要素流动不但不能使得区域差异趋于收敛反而会促使区域差异不断拉大,从而很好的解释了1990年以来我国区域差异扩大的特征事实.     

Cross‐Country Income Differences Revisited: Accounting for the Role of Intangible Capital

This paper develops a new intangible investment database that is consistent and internationally comparable for a set of 60 economies over the period 1995–2011. I find that over time a growing share of total investment consists of intangible assets, rather than investment in tangible assets, like machinery and buildings. Across countries, the level of economic development of a country is positively associated with its investment intensity in intangibles. By including intangible capital as an additional production factor, this paper finds that we can account for substantially more of the variation in cross‐country income levels. Depending on the assumptions regarding the output elasticities of factor inputs, the observed differences in intangible capital can account for up to 16 percentage points of the cross‐country income variation.     

Economic structure and factor payments

There is a growing body of evidence that the labour payment share in national income varies across countries and over time, suggesting that the popular aggregate Cobb–Douglas production function may not capture income share dynamics. There remains conflicting evidence on the importance of natural resource rents among low income economies and on estimates of the rate of return to produced capital. This paper focuses on the structural differences among countries, confirming the importance of the agriculture sector in estimates of labour and land’s share of factor income based on 81 countries at diverse levels of economic development in the year 2005. I find that cross-country data are best modelled by a CES production function with an elasticity of substitution of 0.8 and that many low income countries have a higher return to capital than the United States.     

Three levels of education and the economic growth

The aim of this article is to solve the question how the three main stages of education contribute to the labour productivity growth in selected 125 countries in the period 1999–2014. The model is based on the neoclassical production function enhanced with human capital. The authors draw on the Penn World Tables 9.0 and UNESCO databases. The key benefit of this article is that human capital is characterized according to the returns to education from average number of years of formal schooling at the primary, secondary and tertiary level. Based on the panel data analysis, the contributions of capital and of the three levels of education to the growth of labour productivity are estimated. At the same time, the model allows to estimate the contribution of total factor productivity. The results of the analysis show that tertiary education has the strongest impact on labour productivity across the considered economies. At the same time, the breakdown of aggregate human capital by level of education leads to better clarification of the effects of human capital and physical capital on labour productivity. The conclusions also indicate a tendency towards rising returns to scale induced by the secondary and tertiary education.     

Age dependency and labour productivity divergence

This study finds strong empirical evidence in favour of the hypothesis that the age composition of population matters for labour productivity growth. We applied the fixed effects panel model using data on a large number of countries over the period 1980–2010. Our results suggest that higher age dependency not only directly impacts negatively on labour productivity but also modifies the impact of other determinants of labour productivity. Child dependency has a more adverse effect on labour productivity than old age dependency. We specifically find that the marginal effects of gross capital formation, information and communication improvement, and labour market reforms are significant at lower levels of age dependency. However, the marginal effect of savings on labour productivity is high at a high level of age dependency. The impact of age dependency varies between developed and developing economies. Diversity in the size and nature of age dependency across regions and different income groups help to explain the labour productivity differential across them.     

The driving forces behind China’s growth1

The main objective of this article is to disentangle the determinants of the Chinese economic growth that occurred from 1965 to 2000. We have explored, first, the time series properties of the growth rates of gross domestic product and labour productivity with an extended battery of unit‐root tests. Then, in a multivariate setting, we use the VAR model methodology to provide evidence that physical and human capital accumulation, R&D expenditure, openness and competitiveness are the main drivers of output, labour productivity and total factor productivity growth in the long run. Additionally, we also show that although China has not yet converged to its long‐run equilibrium, it is in the process of catching up. These results are more consistent with some versions of the endogenous growth models than with Solow‐type models of growth, since they support active strategies of economic policy to stimulate economic growth and catching up with more advanced economies.     

The Financial Sector and Economic Growth*

The Mankiw–Romer–Weil (1992) augmented Solow–Swan ( Solow 1956 ; Swan 1956 ) model is extended to incorporate the financial sector in this study. Distinguishing between financial capital, physical capital and human capital, the research attempts to identify, in particular, the effects of financial capital on economic growth. The effects of financial sector efficiency on economic growth are also examined. The financial sector augmented model is tested on a cross‐section of 35 economies. Strong support is found for the model.     

Factor Mobility and Income Growth: Two Convergence Hypotheses

While technologies and policy fundamentals are presumably different internationally, inducing differences in growth rates, capital mobility can be a powerful force in equalizing output growth rates across countries. The paper provides some indirect evidence in support of this effect. In the context of regional growth, however, labor mobility can potentially equalize income levels across regions in the presence of human capital externalities. Supporting evidence is found for this effect, revealing that restrictions on labor flows tend to make per capita incomes more divergent across nations and/or regions.     

Recent Technological and Economic Change among Industrialized Countries: Insights from Population Growth*

Cross‐country observations on the effects of population growth are used to show why differences in rates of growth in working‐age population may be a key to understanding differences in economic performance across industrialized countries over the period 1975–1997 versus 1960–1974. In particular, we argue that countries with lower rates of adult population growth adopted new capital‐intensive technologies more quickly than their high population growth counterparts, therefore allowing them to reduce their work time without deterioration of growth in output‐per‐adult.     

China's Fiscal Decentralization and Regional Economic Growth

The present paper applies Lucas's theory of endogenous growth and Stiglitz's theory of local public goods to build an econometric model consisting of five simultaneous equations to study China's fiscal decentralization effects on regional economic growth. The model is estimated by two‐stage least squares using a set of panel data on 31 Chinese provinces during 1996–2005. The estimated results show that China's fiscal decentralization increased the local governments' expenditure on physical infrastructure and education, which led to the rising local physical capital stock and human capital levels, respectively, and then resulted in the growth of regional economies.     

Home Bias,Border Effect and Internal Market Integration in China: Evidence from Inter‐provincial Value‐added Tax Statistics

This paper examines the home bias in regional trade and the integration of the internal market in China using inter‐provincial value‐added tax statistics. The administrative border between regions is an important trade barrier that results in home bias. Using a border effect model, we find evidence of home bias in provincial trade and relatively low border effects in domestic‐products trade in China. Moreover, the multilateral resistance model, based on a microeconomic foundation, also has strong power in explaining border effects in provincial trade. The empirical results imply that in accordance with some developed economies, China's market integration appears to have reached a high level.