Development threshold,capital flows,and financial turbulence

We study capital flows in a panel of 130 countries, and derive the implications for the observed patterns of capital flows and capital controls before and into the crisis of 2008–11. We find that the size of capital flows is positively correlated with country's income level. In addition, capital flight has a non-linear relationship with the income level. Using the Hansen threshold estimation, we identify a three-stage threshold effect: for low-income countries (GDP per capita below US$ 3,000), capital flight increases as the income level rises; and only after the economy passes a threshold level (GDP per capita above US$ 5,000), capital flight declines with income. We conclude with a case study of Brazil and Korea, observing that the decisions to implement capital control measures tend to be pushed around by the feedbacks among economic growth, currency appreciation, and the global financial conditions.     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.     

Spatial growth with exogenous saving rates

Economic growth has traditionally been analyzed in the temporal domain, while the spatial dimension is captured by cross-country income differences. Data suggest great inequality in income per capita across countries, and a slight but noticeable increase in inequality across nations between 1960 and 2000. Seeking to explore the mechanism underlying the temporal evolution of the cross sectional distribution of economies, we develop a spatial growth model where saving rates are exogenous. Capital movements across locations are governed by a mechanism under which capital moves toward locations of relatively higher marginal productivity, with a velocity determined by the existing stock of capital. This augments the capital accumulation equation by a nonlinear diffusion term. Our results suggest that under diminishing returns, the growth process leads to a stable spatially nonhomogeneous distribution for per capita capital and income in the long run. Insufficient savings may lead to the emergence of persistent poverty cores where capital stock is depleted in some locations.     

Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.     

Environmental taxes,reforms and economic growth: an empirical analysis of panel data

This paper explores the relationship between environmentally related taxes and the economic growth rate. The analysis also investigates whether this relationship differs between countries that have implemented environmental tax reforms (ETRs) and those that have not. Using panel data from 31 OECD countries over the period 1994–2013, the paper finds that when we allow environmentally related tax revenues to interact with an initial level of real GDP per capita, the overall revenues of these taxes are negatively associated with the economic growth rate in the short and long term. Furthermore, we show that the higher the initial level of GDP per capita, the more environmentally related tax revenues can promote the economic growth rate. The analysis also reveals that the relationship between environmentally related tax revenues and economic growth varies between countries that have a mechanism to redistribute environmentally related tax revenues and those that do not.     

Productivity, convergence and policy: a study of OECD countries and industries

This paper analyses trends in labour productivity and its underlying determinants in a panel of OECD countries from 1979 to 2002. Data Envelopment Analysis (DEA) is used to estimate a Malmquist measure of multifactor productivity (MFP) change. We decompose the growth in labour productivity into (i) net technological change (ii) input biased technical change (IBTC) (iii) efficiency change and (iv) capital accumulation. We analyse the effect of each of these factors in the transition towards the equilibrium growth paths of both labour productivity and per capita GDP for the OECD countries, controlling for the effects of different policies and institutions. The results indicate that on average gaps in productivity or income levels are narrowing down although there is no evidence to suggest that the entire OECD area comprises a single convergence “club”. Using kernel estimation methods we find that that labour productivity and per capita GDP are settling toward a twin peak (bimodal) distribution. Panel unit root tests over an extended (1960–2001) period provide general support for the convergence hypothesis. Analysis of the contributions of productivity growth within industries and sectoral composition changes show that aggregate productivity change is predominantly driven by ‘net’ within sector effects with very little contribution emerging from sectoral shifts (the ‘in-between’ static or dynamic effects resulting from higher or above average productivity industries gaining employment shares or low productivity industries losing shares).     

Public and Private Investment and The Growth Process in Developing Countries

This paper examines the relative contribution of public and private investment to per capita GDP growth in developing countries. It extends the basic neoclassical model of growth by separating investment into its public and private components, and estimates this model for a sample of 95 developing countries over the period 1970–90 using both cross-sectional and panel data. Using data on relative supplies of public and private capital stock, rates of return to public and private investment are also computed. The results suggest that once other determinants of growth, such as human capital formation, population growth, and technical progress, are taken into account, public and private investment have different effects on growth, and that these effects are characterized by marked regional and inter-temporal variations.     

Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries

In this study, building a simple model that incorporates static and dynamic elements, the relationship of financial development and economic growth to environmental degradation is investigated together with the validation of the Environmental Kuznets Curve (EKC) hypothesis. Our analysis is based on an unbalanced panel data set covering the OECD countries over the period 1970–2014. Our approach thoroughly accounts for the presence of cross‐sectional dependence between the sample variables and utilizes second generation panel unit root tests in order to investigate possible cointegration relationships. The empirical findings do indicate that local (NO_x per capita emissions) and global (CO₂ per capita emissions) pollutants redefine the EKC hypothesis when we account for the presence of financial development indicators. Specifically, in the case of global pollution an N‐shape relationship is evident in both static and dynamic frameworks, with a very slow adjustment. Lastly, our study calls for a strengthening of the effectiveness of environmental degradation policies by ensuring sustainability of the OECD banking system in order to drastically reduce emissions. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Growth vs. level effect of population change on economic development: An inspection into human-capital-related mechanisms

This paper studies the different mechanisms and the dynamics through which demography is channeled to the economy. We analyze the role of demographic changes in the economic development process by studying the transitional and the long-run impact of both the rate of population growth and the initial population size on the levels of per capita human capital and income. We do that in an enlarged Lucas–Uzawa model with intergenerational altruism. In contrast to the existing theoretical literature, the long-run level effects of demographic changes, i.e. their impact on the levels of the variables along the balanced growth path, are deeply characterized in addition to the more standard long-run growth effects. We prove that the level effect of the population rate of growth is non-negative (positive in the empirically most relevant case) for the average level of human capital, but a priori ambiguous for the level of per capita income due to the interaction of three transmission mechanisms of demographic shocks, a standard one (dilution) and two non-standard (altruism and human capital accumulation). Overall, the sign of the level effects of population growth depends on preference and technology parameters, but numerically we show that the joint negative effect of dilution and altruism is always stronger than the induced positive human capital effect. The growth effect of population growth depends basically on the attitude to intergenerational altruism and intertemporal substitution. Moreover, we also prove that the long-run level effects of population size on per capita human capital and income may be negative, nil, or positive, depending on the relationship between preferences and technology, while its growth effect is zero. Finally, we show that the model is able to replicate complicated time relationships between economic and demographic changes. In particular, it entails a negative effect of population growth on per capita income, which dominates in the initial periods, and a positive effect which restores a positive correlation between population growth and economic performance in the long term.     

Economic growth, size of the agricultural sector, and urbanization in Africa

This paper uses variations in international commodity prices and rainfall to construct instrumental variables estimates of the within-country effect that changes in the size of the agricultural sector and GDP per capita growth have on the urbanization rate. For a panel of 41 African countries during the period 1960-2007, the paper’s three main findings are that: (i) decreases in the share of agricultural value added lead to a significant increase in the urbanization rate; (ii) conditional on changes in the share of agricultural value added GDP per capita growth does not significantly affect the urbanization rate; (iii) increases in the urbanization rate had a significant negative average effect on GDP per capita growth.     

The Returns to Education: Macroeconomics

We offer an extensive summary and a critical discussion of the empirical literature on the impact of human capital on macro‐economic performance, with a particular focus on UK policy. We also highlight methodological issues and make recommendations for future research priorities.
Taking the studies as a whole, the evidence that human capital increases productivity is compelling, though still largely divided on whether the stock of education affects the long‐run level or growth rate of GDP. A one‐year increase in average education is found to raise the level of output per capita by between three and six percent according to augmented neo‐classical specifications, while leading to an over one percentage point faster growth according to estimates from the new‐growth theories. Still, over the short‐run planning horizon (four years) the empirical estimates of the change in GDP are of similar orders of magnitude in the two approaches. The impact of increases at different levels of education appear to depend on the level of a country's development, with tertiary education being the most important for growth in OECD countries. Education is found to yield additional indirect benefits to growth. More preliminary evidence seems to indicate that type, quality and efficiency of education matter for growth too.     

要素配置、收入差距与经济增长的实证研究

本文基于要素配置的动态性和路径选择性构建模型,测算无劳动力、资本错配下的收入差距,并且实证研究要素错配对收入差距与经济增长关系的影响。研究结果表明：与实际状态相比,无要素错配状态下地区间收入差距变小,意味着要素错配恶化了地区间收入差距;要素错配加剧收入差距对经济增长的阻碍作用,如2016年由于要素错配的存在,收入差距对经济增长的阻碍效应提高20.5%,且整体上引起经济增长缺口达到4.6%;较高的收入差距对人力资本、物质资本和人均消费均有显著的阻碍作用,而要素错配又加剧这种阻碍效应,提高对经济增长的负面效果。     

Financial globalization and technological innovation: International evidence

Country’s technology progress and innovation development not only depends on internal knowledge stock and human capital, but also external financial resources. This paper explores the effect of financial globalization on technological innovation through empirical investigations by using the system generalized method of moment method and panel data from 110 countries over the period of 1985–2015. Our empirical results suggest that financial globalization exerts a significant enhancing effect on technological innovation and this effect becomes stronger for countries with better institution quality. A one unit change of financial globalization can bring about a 0.6 % increase in patent applications. The comprehensive evidence shows that financial development, not trade integration, is the main channel through which financial globalization promotes national innovation. Subsample analysis shows that financial globalization only promotes innovation development of Non- Organization for Economic Co-operation and Development (OECD) countries. Our findings offer new insights into the influence of financial openness on technology progress.     

Is technical change embodied in the capital stock or new investment?

The question of technical change and productivity growth is one of the fundamental empirical issues of our time. Surprisingly, Solow's original question of whether technical change is embodied in investment or the entire capital stock has been largely neglected. This paper seeks to bridge the early work of Solow and others on the extent of embodiment of technical change with the more modern approach to estimating the structure of production and technical change using multifactor cost functions. We also attempted to identify the source and structural nature of embodied technical change by decomposing it. Our theoretical model is applied to a pooled cross-section of six OECD countries for the 1965–1989 period. Our preferred model is one of full factor-augmenting embodied technical change because technical change augmenting the entire capital stock tends to overstate quality change in the aggregate capital stock more than that embodied in new investment. This model specification supports the view that technical change is embodied in the stock of capital structure and is embodied in new investment of capital equipment.     

Who Gains from the Demographic Dividend? Forecasting Income by Age

Changes in the population age structure are known to influence the total income per person, but little is known about whether the changes are equally shared across the population or are concentrated on particular age groups and/or birth cohorts. The answer to this question has potentially important implications for income inequality, human capital investment, and fertility decision-making. We propose a new model of intergenerational transfers which distinguishes between the effects of changes in population structure and the effects of changes in family age structure. Using age-specific data from annual income and expenditure surveys of Taiwan between 1978 and 1998, we show that changes in age structure have had a very favorable effect on Taiwan's income growth. The gains are not equally shared by all age groups, however. Children and young adults have benefited the most, while the elderly have benefited the least. The population and family age structures have independent effects on per capita income; the effect of the population age structure is most important. Generational differences in per capita income are closely related to intergenerational differences in earnings, suggesting only a weak form of altruism. Finally, we predict that, on average, population aging will adversely influence the per capita income growth in Taiwan in the coming decades.     

The role of MNCs in balancing the human capital 'books' between African and developed countries

The economic imbalance that exists between Western developed economies and African economies has resulted in retardation of human capital development in the African countries. The foreign direct investments that have freely flowed into Western economies have been the stimulus for the creation of jobs and the resulting educational infrastructure to generate qualified employees. Without this increase in human capital stock (i.e. in African countries) the ability of these economies to compete in the global, high tech, information economy of the twenty-first century is severely constrained. The paper examines the development of a human capital encompassing societal, organizational, and individual levels that can be stimulated by multinational organizations. The resulting positive impact on human capital in turn supports the growth not only of the African countries but also of the multinationals doing business in Africa.     

人力资本投资结构及其经济增长效应——基于扩展MRW模型的内生增长理论与实证研究

本文针对已有的关于人力资本投资的理论研究往往只关注人力资本投资数量而忽视人力投资结构研究的现状，把教育和健康看作是两种资本，分析了人力资本投资的具体构成形式。假设人力资本由教育资本和健康资本按照Cobb-Douglas生产技术形式组合生成。通过扩展Mankiw、Romer和Weil（1992）模型（简称MRW模型），构建了一个内生经济增长模型。理论分析结果表明，人力资本投资结构制约着经济增长，人力资本投资数量和结构都对经济产生重要影响。最后，本文以理论分析为基础构建计量经济模型，利用1978-2004年中国29个省市的面板数据实证分析了教育资本和健康资本对中国经济增长的影响。     

人均收入差距导向的投资战略

除了税收手段直接调整人均收入差距之外,政府可利用投资配置来影响生产过程,进而调整人均收入差距。在总量封闭经济的框架下,本文以人均收入差距最小化为目标,通过引入多地区多产业Cobb-Douglas生产函数、劳动一资本比率、资本时变率,改造最优经济增长模型。实验表明,通过权衡不同地区、不同产业的重要程度,调整投资在不同地区、不同产业之间的配置比率,政府可缩小人均收入差距。     

中美两国经济实力与潜力的比较分析

改革开放以来,经过30多年的发展,中国已重新成为全球经济大国之一。本文利用C-D生产函数和索洛增长模型对中国中长期经济发展进行预测,在国内外研究成果的基础上对美国中长期经济发展进行预测,探讨了在不同情况下中美两国经济的对比分析和追及问题。本文预测结果表明,中国经济只要保持平稳增长,将在2030年前实现多个目标：一是GDP总量超过美国;二是人均GDP超过1.7万美元;三是人均国民总收入接近高收入国家行列;四是商品零售额、商品进口额等宏观指标赶上美国。     

Impact of financial development on SAARC’S human development

The objective of the study is to investigate the link between economic growth and financial development (i.e., broad money supply, credit to private sector (CPS) and bank deposit liabilities) in human development for a panel of selected South Asian Association for Regional Cooperation (SAARC) countries; namely, Bangladesh, India, Nepal, Pakistan and Sri Lanka during 1988–2008; over the period of 1988–2008. The panel cointegration technique is employed for analysis of short and long-run relationship between the variables. The results of panel cointegration found that there is a long-run relationship between financial development indicators and economic growth in human development in SAARC region. The estimated results indicate that in the short run, bank deposit liabilities exerts the maximum impact (i.e., 0.425 %) on human development in SAARC region, subsequently, broad money supply (i.e., 0.301 %) and CPS (i.e., 0.128 %) respectively, while there is a negative relationship between real GDP growth and human capital (i.e., \(-\) 0.189 %). In the long-run, DOLS estimator constitutes broad money supply which increases by 0.912 %, followed by credit to private sector (i.e., 0.121 %) on human development. While, in case of FMOLS estimator, these results are disappear, as broad money supply does not have any significant impact on human development in SAARC region. The coefficient of real GDP per capita in both estimators, have a negative impact on human development, however, the intensity of both estimators are different in nature, as real GDP per capita decrease human development in FMOLS (i.e., \(-\) 0.828 %) and in DOLS estimators (i.e., 0.458 %). The results indicate that due to a low quality of human capital in SAARC region; the direct effect of economic growth becomes negative; however, financial development indicators act as an important driver for increase in human capital in SAARC region. The implications of present research relate to heightening the need for labor market reforms and making the educational system more flexible.