Are developing countries accumulating sufficient total factor productivity to sustain their economic growth and job creation? Empirical evidence from the Middle East and North Africa region

This study contributes new evidence on why the Middle East and North Africa (MENA) region has failed to create decent jobs for decades. The growth accounting exercise reveals that the region suffered from an acute total factor productivity (TFP) deficit in the 1990s; it improved remarkably in the 2000s, before deteriorating significantly in the period between 2010 and 2017. Throughout the three subperiods, the region’s growth relied heavily on capital accumulation. The severe deficit in TFP and the heavy reliance on physical capital for decades impaired the region’s ability to sustain economic growth and to create decent jobs in the long run. The study recommends more government interventions in knowledge accumulation as a critical precondition for employment generation in developing countries.     

Human capital, economic growth, and regional inequality in China

We show how regional growth patterns in China depend on regional differences in physical, human, and infrastructure capital as well as on differences in foreign direct investment (FDI) flows. We also evaluate the impact of market reforms, especially the reforms that followed Deng Xiaoping's “South Trip” in 1992 those that resulted from serious hardening of budget constraints of state enterprises around 1997. We find that FDI had a much larger effect on TFP growth before 1994 than after, and we attribute this to the encouragement of and increasing success of private and quasi-private enterprises. We find that human capital positively affects output and productivity growth in our cross-provincial study. Moreover, we find both direct and indirect effects of human capital on TFP growth. These impacts of education are more consistent than those found in cross-national studies. The direct effect is hypothesized to come from domestic innovation activities, while the indirect impact is a spillover effect of human capital on TFP growth. We conduct cost-benefit analysis of hypothetical investments in human capital and infrastructure. We find that, while investment in infrastructure generates higher returns in the developed, eastern regions than in the interior, investing in human capital generates slightly higher or comparable returns in the interior regions. We conclude that human capital investment in less-developed areas is justified on efficiency grounds and because it contributes to a reduction in regional inequality.     

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.     

THE FIFTH ASIAN DRAGON: SOURCES OF GROWTH IN GUANGDONG, 1979–1994

This paper presents a growth accounting exercise to uncover the sources of spectacular growth in the Guangdong Province in China, the so-called "Fifth Dragon" in Asia, for the post-open-door period 1979–1994. A large fraction of Guangdong's output growth cannot be attributed to the growth in its capital and labor inputs. Of the unexplained residuals, foreign direct investment is a significant growth-spurring engine while export expansion is not. In this sense, China's open door policy did not generate export-led growth although it did stimulate capital accumulation through the importation of foreign capital.
"East Asia has a remarkable record of high and sustained economic growth. From 1965 to 1990 the twenty-three economies of East Asia grew faster than all other regions of the world…. Most of this achievement is attributable to seemingly miraculous growth in just eight economies: Japan; the 'Four Tigers' —Hong Kong, the Republic of Korea, Singapore, and Taiwan, China; and three newly industrializing economies (NIEs) of Southeast Asia, Indonesia, Malaysia, and Thailand…."     

Finance and sources of growth: evidence from the U.S. states

How does financial development affect economic growth: through its impact on accumulation of physical and human capital or by boosting total factor productivity (TFP) growth? We use a new data set on output, inputs, and total factor productivity for the US states to study this question. Unlike previous cross-country research that tries to disentangle the channels through which financial development impacts growth, we use a plausibly exogenous measure of financial development: the timing of banking deregulation across states during the period 1970–2000. At the same time our new data set allows us to go beyond what was previously done in the state banking deregulation literature and identify whether finance impacts states’ input accumulation or TFP growth. We find, in line with existing cross-country studies, that deregulation boosts growth by accelerating both TFP growth and the accumulation of physical capital without having any impact on human capital. In contrast to the cross-country studies, we also find that the effects of deregulation are largely independent of states’ initial level of development; both rich and poor states grow faster after deregulation. Additionally, since our data set breaks down aggregate output into three sectors: agriculture, manufacturing, and the remaining industries, we are able to show that deregulation accelerates the growth of productivity in manufacturing. This last finding answers an important critique of the banking deregulation studies which asserts that observed growth effects may be coming from the growth of financial industry itself and not from the beneficial effect of finance on other industries, such as manufacturing.     

Global GDP shares in the 21st century — An equilibrium approach

Using a 9-region model of the world economy, we investigate the implications of the diffusion of total factor productivity (TFP) for global GDP shares during the 21st century. The nine regions are: Africa, Asia (excluding China, India and Japan), China, Europe, India, Japan, Latin America, North America and Oceania. According to our projections, TFP catch-up at a plausible rate implies that the share of the high-income regions will more than halve by 2050 and almost halve again in the subsequent 50 years. These projected shares are little affected by variations in demographic outcomes, saving behaviour and international capital flows, but are reduced substantially should TFP catch-up be slower.     

Understanding TFP growth in inland regions of China: an empirical study of the effects of three factors

In this paper, we empirically examine the potential effects of international openness, domestic coastal-inland market integration, and human capital accumulation on TFP growth in inland provinces in China. By using a nonlinear technique as our main regression approach as well as an extended GMM method as robustness checks, we show that human capital accumulation plays an important role in promoting TFP growth in the inland provinces. Our results support the argument that the most important contribution of human capital to income growth lies not in its static, direct effect as an accumulable factor in the production function, but in its dynamic role in promoting TFP growth. Our regression results also provide evidence for the positive roles international openness and domestic coastal-inland market integration play in promoting TFP growth in inland provinces in China.     

Gender‐specific Human Capital,Openness and Growth: Exploring the Linkages for South Asia

Using data covering 1970–2008 for South Asia, this study investigates the influence of human capital disaggregated by gender, on economic growth. We use an extended version of the Solow growth model with per capita gross domestic product (GDP) a function of the key variables, viz. physical capital accumulation, human capital accumulation, trade openness and capital flows, fiscal policy and financial development. The key contribution of this study is to show that openness when interacted with the human capital stock disaggregated by gender, has differential impacts on economic growth. While the positive impact of male secondary schooling captures the direct skill effect relative to primary schooling, the marginal influence of female primary/secondary schooling fails to show a positive impact on growth at higher levels of openness. An implication stemming from this study is that educational opportunities for females at the secondary level should be increased for South Asia.     

Diminished Returns? Growth and Investment in East Asia

This paper investigates the investment-led growth hypothesis for the newly industrialized economies of East Asia. Using numerical simulations and a neoclassical model, it is shown that the revolution in investment rates only explains about 30 per cent of the growth of GDP per worker. In contrast, productivity growth and improvements in labour quality, explain around half the growth of GDP per -worker. This reflects the effects of productivity growth on capital accumulation. Contrary to recent growth-accounting studies, the results suggest that understanding the sources of productivity growth in East Asia will provide the most useful lessons for other developing economies.     

Embodiment, productivity, and the age distribution of capital

An important theme in modern research on productivity has been that technological progress may be embodied in capital in the sense that traditional measures of TFP growth reflect unmeasured improvements in the quality of capital inputs as well as pure disembodied technological progress. It is commonly believed that an implication of this embodiment hypothesis is that there should be a negative relationship between measured TFP and the age of the measured capital stock. This paper presents empirical evidence which suggests that an increase in the age of the capital stock is actually associated with higher TFP growth. This surprising result may be due to the presence of a mis-measurement normally overlooked in this literature: With mis-measured improvements in capital quality, the usual depreciation rates used to construct empirical capital stocks are incorrect for growth accounting. This effect dominates the usual average age effect.     

Accounting for human capital externalities with an application to the Nordic countries

Externalities caused by human capital accumulation have taken up considerable space in theoretical work on economic growth. However, less attention has been paid to this externality in traditional growth accounting exercises. This paper takes up the issue of growth accounting, suggesting a framework for quantifying human-capital externalities and illustrating it empirically using data from the five Nordic countries. Four sources of growth are identified, i.e. capital accumulation, labor force growth, and total factor productivity growth (TFP), where the traditional TFP measure is split into a part explained by human-capital formation and an unexplained part. By doing this I am able to attribute between 12 per cent and 33 per cent of growth in the Nordic countries to human capital investment.     

Causal interactions between CO2 emissions,FDI, and economic growth: Evidence from dynamic simultaneous-equation models

In this article, we investigate the causality links between CO₂ emissions, foreign direct investment, and economic growth using dynamic simultaneous-equation panel data models for a global panel of 54 countries over the period 1990–2011. We also implement these empirical models for 3 regional sub-panels: Europe and Central Asia, Latin America and the Caribbean, and the Middle East, North Africa, and sub-Saharan Africa. Our results provide evidence of bidirectional causality between FDI inflows and economic growth for all the panels and between FDI and CO₂ for all the panels, except Europe and North Asia. They also indicate the existence of unidirectional causality running from CO₂ emissions to economic growth, with the exception of the Middle East, North Africa, and sub-Sahara panel, for which bidirectional causality between these variables cannot be rejected. These empirical insights are of particular interest to policymakers as they help build sound economic policies to sustain economic development.     

The productivity challenge. What to expect from better-quality labour and capital inputs?

The aim of this article is to develop and implement an analytical framework assessing whether better-quality inputs, via a rise of TFP, could compensate an ageing-induced slowing of economic growth. Here ‘better-quality’ means more educated and older/more experienced workforces; and also better-quality capital proxied by its ICT content. Economic theory predicts that these trends should raise TFP. To assess these predictions, we use EU-KLEMS data, with information on the age/education mix of the workforce, as well as the importance on ICT in total capital, for 34 industries within 16 OECD countries, between 1970 and 2005. We generalize the Hellerstein–Neumark labour-quality index method to simultaneously capture workers’ age/experience or education contribution to TFP growth, alongside that of ICT. The conclusion of the article is that the quality of inputs matters for TFP. We find robust microeconometric evidence that better-educated and older/more experienced workers are more productive than their less-educated and younger/less-experienced peers. Also, ICT capital turns out to be more productive than other forms of capital. And when used in a growth accounting exercise covering the 1995–2005 period, these estimates suggest that up to 40% of the recorded TFP growth could be ascribed to the rising quality of inputs.     

The human capital and economic growth nexus: in East and South Asia

This study adopts a disaggregated regional focus to test for the human capital (HC)-growth nexus in selected nine Asian countries. It utilizes the Empirical Bayesian methodology which addresses not only the heterogeneity issue but it also utilizes the common structural priors of regional countries to yield ‘informationally’ efficient estimates of the impact of HC on the stock and levels of GDP. Various measures of HC are utilized to determine which of these produces a better explanation of economic growth in the two Asian regions. The study finds that primary and secondary education was more prominent in explaining the fluctuations of economic growth in East Asia, whereas tertiary and vocational education showed positive effects on economic growth in South Asia. Government expenditures on education were also found to positively affect economic growth in both regions. The results shed new evidence to establish that the differences in growth rates within East and South Asia are associated with differences in educational progression in the regions.     

What determines productivity performance of telecommunications services industry? A cross-country analysis

This article investigates the key factors that determine the productivity performance of telecommunications services industry. A simple theoretical model is used to illustrate that the Total Factor Productivity (TFP) growth is attributable to the effects of scale economies, market competition and technical change. We then examine empirically the effect of various factors on the TFP growth in the industry using panel data in 12 Organization for Economic Co-operation and Development (OECD) countries for the period 1983 through 2003. The empirical results are consistent with the theoretical prediction. A new finding in this article is that higher machinery and equipment (M&E) capital intensity and human capital contribute to higher TFP growth in the telecommunications services industry. The decomposition analysis also suggests that technical change induced by changes in M&E capital intensity and human capital are important sources of productivity performance in the industry across the OECD countries, contributing to about 20–50% and 2–7% of TFP growth, respectively. These findings highlight the importance of improving the conditions for M&E capital investment and the quality of human capital, which in turn could facilitate the adoption of new technologies and enhance the productivity in the industry.     

China’s catch-up to the US economy: decomposing TFP through investment-specific technology and human capital

We implement a neoclassical growth model that incorporates investment-specific technology (IST) modifying capital investment in the law of motion of capital and bifurcates productivity into human capital and total factor productivity (TFP) in the production function. We focus on the role of changes in the quality-adjusted price of investment goods on China’s growth by comparing the effects of IST and human capital on the decomposition of US and Chinese productivity. The results show that both human capital and IST play an important role in the decomposition of US TFP. For China, human capital accounts for an increasingly higher portion of Chinese TFP for the period 1952–2009; however, IST contributes to the explanation of TFP only after the 1979 reforms. The analysis is extended by considering the impact of IST in the consumer’s investment decision and by projecting both countries’ GDP while modelling unbalanced Chinese growth using catch-up. Our model predicts that the Chinese economy will surpass the US economy in 2024.     

Are the FDI inflow spillover effects on Malaysia's economic growth input driven?

This paper inspects the influence of human capital, labour force, and absorptive capacity, physical capital as a control variable, foreign direct investment (FDI) inflows and gross domestic product (GDP) on Malaysia's productivity growth. A time series quarterly data from the period of 1999 to 2008 was used. The effects of FDI inflows on human capital, labour force, absorptive capacity and physical capital were investigated. The Ordinary Least Squares (OLS) regression was applied to estimate the data in the first step and in the second step productivity indicators were calculated. The results show that the FDI inflows and inputs used are negatively contributed to total factor productivity (TFP). Meanwhile, FDI plays a significant role in achieving economic growth through input driven as indicated by the contribution of the TFP. In this regard, a significant positive relationship between human capital, labour force and absorptive capacity which determines the spillover effect on Malaysian economic growth (GDP) was found and the physical capital has shown negative relationship.     

人力资本对我国全要素生产率增长作用的空间计量研究

通过构建距离衰减的空间权重矩阵,利用空间Benhabib-Spiegel模型探讨人力资本空间溢出对全要素生产率增长的影响,结果表明:人力资本对全要素生产率增长的作用取决于考察省区人力资本水平、邻近省区人力资本水平,以及考虑地理距离的考察省区技术追赶效应;人力资本平均水平对全要素生产率增长起到积极的促进作用,邻近省区人力资本对考察地区TFP增长产生正向空间溢出效应。各省区若要充分发挥人力资本的空间溢出效应,就必须选择均衡适度的人力资本配置结构。     

Does one size fit all? The impact of cognitive skills on economic growth

This paper tests for heterogeneous effects of cognitive skills on economic growth across countries. Using a new extended dataset on cognitive skills and controlling for potential endogeneity, we find that the magnitude of the effect is about 60% higher for low-income countries compared to high-income countries, and it more than doubles when low TFP countries are compared to high TFP countries. There are also marked differences across geographic regions. Using data on the share of the population with advanced and minimum skill levels, our results also indicate that high-income countries should focus on increasing the number of high skilled human capital, while countries from Sub-Saharan Africa would benefit more by investing in the development of basic skills.