New evidence on the convergence of international income from a group of 29 countries

This paper updates and extends the time-series evidence on the convergence of international incomes using a set of 29 countries over the period 1900–2001. Time-series tests for stochastic convergence are supplemented with tests which provide evidence on the notion of “β-convergence” predicted by the Solow model. The evidence indicates that the relative income series of 21 countries are consistent with stochastic convergence, and that β-convergence has occurred in at least 16 countries at some point during the twentieth century. Further examination of the properties of the β-convergence test provides anecdotal evidence of conditional convergence in three additional countries for which the convergence hypothesis was initially rejected. Consideration of convergence clubs strengthens the evidence in favor of convergence. Analysis of the cross-country dispersion of incomes over time also suggests that convergence has occurred over the 1900–2001 period, particularly within certain clubs, with structural breaks associated with World War II in many countries causing a break in the convergence process.      

Sectoral sources of sub-Saharan Africa’s convergence

From 1970 to 2010, sub-Saharan African’s (SSA) labour productivity hovered at around 6% of the US level. This lacklustre performance, which remained stubbornly low despite the SSA’s growth spurt that started in the mid-1990s, masks a great deal of variations across sectors and countries. Using a structural decomposition, we examine, for a representative sample of SSA countries, the sectoral sources that hold back their convergence to the US frontier. Our results suggest the presence of strong – and possibly long-lasting – headwinds that have wiped out the favourable effects of substantial, yet circumstantial, tailwinds. Headwinds, quantified by the unfavourable within- and reallocation-effects, are indicative of significant capital-deepening and technology gaps, both of which are extremely hard to bridge. The tailwinds, represented by favourable between-effects, result from the convergence of the SSA labour force to sectors where some US sectors have seen a slowdown of their productivity relative to that of the whole economy – a development unrelated to the fundamentals underlying the SSA economy. Although few exceptions emerged out of this general pattern, these results are indicative of a bleak outlook for the SSA economic performance at least in the medium run.     

Trade and technological explanations for changes in sectoral labour demand in OECD economies

This paper sets out to establish the main determinants of variations in the demand for aggregate labour in manufacturing and service sectors (22) for a cross-section of OECD countries (14). A relatively new panel data set is employed in the analysis, the OECD's International Sectoral Data Base. Preliminary analysis revealed that the ‘within’ sector variation in the wage share dominated overall variation for most countries and time periods. A separate dynamic model was thus generated to explain the ‘within’ sector variation in the wage share. This model contained real wages, output, the capital stock, technological change (total factor productivity) and trade (the imports to value-added ratio) as independent variables. In addition the wage level was also interacted with these explanatory variables on the presumption that skill is positively correlated with the level of wages. Because of the potential for simultaneity bias, estimation was conducted by IV and OLS. The main findings were that the capital stock and technological change were the main determinants of shifts in labour demand. While some countries reported the trade variable as significant its influence was only of slight importance in most cases. The interaction terms proved to be significant in a large number of countries. Some evidence was found that capital and technological were complementary with skill. Overall it was found that broad agreement existed across countries in the factors which influence labour demand despite considerable differences in the cross-country nature of labour market institutions.     

Efficiency change,technological change and capital accumulation in Italian regions: a sectoral study

This paper examines the sources of labour productivity in the Italian regions during the period 1980–2004. Five economic sectors are investigated using data envelopment analysis (DEA) and taking into account productive specialisation and sector inefficiencies. Labour productivity change is decomposed into five components by means of Malmquist productivity indices: intra-sector efficiency change, composition efficiency change, input-biased technical change, magnitude component technical change and capital accumulation. Using bootstrap procedure, the components of labour productivity changes are statistically tested. Efficiency analysis shows that productive specialisation is not a source of inefficiency and efficiency gains can be obtained by sector-specific policies. Thus, it is possible to obtain improvements in efficiency in each sector of activity rather than reallocating resources among sectors. The results of the decomposition by sectors reveal heterogeneous sources of growth. The total economy has shown evidence of non-neutral technical change and, it has been found that agriculture, industry and construction experienced capital using technical change. The analysis of the decomposition of the labour productivity growth is complemented by an analysis of β-convergence.     

What is behind low wages in central and eastern Europe?

This paper compares wages across Europe in relation to the characteristics of workers and firms, with a particular focus on wage levels in central and eastern European countries. Worker and workplace endowments can be taken as a proxy for labour productivity. We estimate the extent to which wage differences observed at an aggregate level can be related to the different compositions of workforces and workplaces, as well as the types of jobs conducted in separate countries. We also decompose the observed differences in returns on endowments by identifying the sectors and occupational categories that contribute most to the wage gaps observed at the aggregate level. The wage gaps in low-wage countries actually appear larger once differences in worker, work and workplace characteristics are controlled for. In contrast, the differences in wages between high-wage countries diminish when we control for these endowments. The wage gap between East and West thus seems to be explained by a much lower return on skills and other characteristics rather than by differences in the composition of workforces and firms. Sectoral and occupational analysis suggests that central and eastern European countries have developed a generalised low-cost and low-wage model, with relative returns particularly low on higher skills. There is much less wage disparity across European countries in more labour intensive and lower-paid services sectors, such as accommodation and food service activities. The magnitude of the wage gap seems to be driven by the relative position of sectors and occupations in high-wage countries.     

Decomposing productivity growth and divergence: an index number approach

We propose a cross-country productivity growth decomposition that allows us to quantify the industry-level contributors to an aggregate productivity growth differential. We deploy this cross-country decomposition to quantify—for the first time—the disaggregate contributors to the divergence in market sector productivity growth between Australia and New Zealand. The results suggest that large contributions to the divergence arise from differences in labour growth across the two countries and that cross-country structural differences are large, and generally act to reduce the divergence. Most of the industries are found to add to the divergence, with particularly large contributions coming from differences across the mining and wholesale trade industries. The views expressed in the paper are entirely my own, and do not necessarily reflect those of the Reserve Bank of New Zealand. I would like to thank Les Oxley and Kevin Fox for useful comments on earlier drafts. All errors and omissions are my own.     

Is There Long Run Industrial Convergence in Europe?

This paper examines whether convergence is occurring at the industry level in 11 EU countries from 1960 to 1993. Both time series and non-parametric (σ-convergence) methods are applied. Using time series analysis we test whether there is within sector convergence towards a common steady state. Although we adopt a very flexible definition of steady state, allowing for two stochastic trends, given by the sector-specific technology and by the country-specific characteristics, as well as a time trend, we find very little evidence for convergence. Results indicate that the deviation of the national trends from the European average trend are persistent, and that EU countries do not respond to the same long run driving processes, but only to the same short run shocks. From σ-convergence analysis we find that convergence in aggregate productivity does not hold uniformly at the industry level: some sectors, such as communications, distribution and non-market services, present strong evidence of convergence, and some others, mainly manufactures, show substantial divergence. However, interestingly, we find that productivity was strongly converging within all sectors in 1960–73, whereas it shows a general tendency to diverge after 1985. We interpret the switch from convergence to divergence as the effect of a process of radical change, driven by information technologies, affecting all industries in the last two decades. We arrive at the general conclusion that convergence is not an inevitable process, but rather a cyclical phenomenon alternating with divergence.     

The heterogeneity of convergence in transition countries

For two groups of post-communist countries (CEE and CIS) we estimated the parameters of convergence equations on the basis of annual data. We depart from standard econometric theory, which involves panel regression techniques. We test cross-country heterogeneity of parameters within a system of Seemingly Unrelated Regression Equations (SURE). We show empirical evidence in favour of the variability of parameters describing the convergence effect and productivity growth rates across countries. Our approach seems a convincing alternative to the panel regression approach where random effects can be estimated, imposing an assumption about the constancy of structural parameters within the group of countries under analysis. We discuss the role of the global financial crisis in the heterogeneity of convergence processes and productivity at the country level. The aforementioned SURE model was estimated based on two datasets, one containing observations prior to the crisis and the second containing the whole sample.     

Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

A re-examination of the technological catching-up hypothesis across OECD industries

This study re-examines the catching-up hypothesis at the industry level across the main OECD countries, using panel data econometric models involving technological gap indicators calculated with a nonparametric distance function suggested by Färe et al. [Färe, R.S., Grosskopf, M.N., Norris, M., Xhang, Z., 1994. Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review 84, 66–83]. The results show that there is statistical evidence of a catching-up process at the industry level. Moreover, both tradables and nontradables sectors exhibit catching-up effects and technology adoption from abroad. This result complements the findings by Bernard and Jones [Bernard, A.B., Jones, C.I., 1996a. Comparing apples to oranges: productivity convergence and measurement across industries and countries. American Economic Review 86(5), 1216–1238., Bernard, A.B., Jones, C.I., 1996b. Productivity across industries and countries: Time series theory and evidence. Review Of Economics and Statistics 78, 135–146], Gouyette and Perelman [Gouyette, C., Perelman, S., 1997. Productivity convergence in OECD services industries. Structural Change and Economic Dynamics 8, 279–295] and Hansson and Henrekson [Hansson, P., Henrekson, M., 1997. Catching up, social capability, government size and economic growth, in V. Bergström, eds, Government and Growth, Oxford: Clarendon Press, 61–126] that there is no (or even a slow) catching-up effect in the manufacturing sector. Moreover, social capability indicators evaluated for each country show that “Non-European” and “Central European” tradables sectors have a rather similar degree of inefficiency while “North European” countries are less efficient for both tradables and non-tradables. Lastly, both the cross country and the cross sectors dispersions of inefficiency levels are smaller for tradables sectors than for non-tradables.     

Structural transformation in Egypt,Morocco and Tunisia: Patterns,drivers and constraints

This study analyses structural transformation in three Middle East and North Africa (MENA) countries: Tunisia, Morocco and Egypt over a large time period (1960–2010). We examine labour productivity evolution and structural change contribution to productivity growth over different sub‐periods. We analyze the contribution of different economic sectors to aggregate structural change in the three countries. An econometric analysis is also performed to identify the main factors underlying the intensity and the pattern of structural change. Results suggest that the three countries initiated and achieved some progress in structural transformation over the 1970s, 1980s and early 1990s. However, this process has stagnated at low‐income levels and has remained unfinished. Deindustrialization occurred at an early stage of development in the three countries, in contrast to that noticed in developed and emergent countries. The results of the econometric analysis suggest a significant and positive association between investment and structural change as capital accumulation increases the future productive capacity and triggers reallocative efficiency. The human capital quality and availability has a positive and significant impact on structural change. Trade openness is also expected to boost structural transformations. However, labour market rigidity hampers structural transformation.     

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.     

Energy productivity convergence: new evidence from club converging

The goal of this study is to explore the convergence of energy productivity across 31 countries from 1972 to 2012 by using the convergence club algorithm developed by Phillips and Sul (2007). The empirical results lead to the rejection of full convergence and to the presence of a certain number of clubs. The transitional curves, however, indicate that over the long run energy productivity tends to converge, indicating the strong attempts of the countries under investigation to adopt energy policies that eventually contribute to a convergence pattern.     

Product Market Reform and Innovation in the EU*

European Union countries have implemented widespread reforms to product markets to stimulate competition, innovation, and economic growth. We provide empirical evidence that the reforms carried out under the EU Single Market Programme (SMP) were associated with increased product market competition, as measured by a reduction in average profitability, and with a subsequent increase in innovation intensity and productivity growth for manufacturing sectors. Our analysis exploits exogenous variation in the expected impact of the SMP across countries and industries to identify the effects of reforms on average profitability, and the effects of profitability on innovation and productivity growth.     

How important are dual economy effects for aggregate productivity?

This paper brings together development accounting techniques and the dual economy model to address the role that factor markets have in creating variation in aggregate total factor productivity (TFP). Development accounting research has shown that much of the variation in income across countries can be attributed to differences in TFP. The dual economy model suggests that aggregate productivity is depressed by having too many factors allocated to low productivity work in agriculture. Data show large differences in marginal products of similar factors within many developing countries, offering prima facie evidence of this misallocation. Using a simple two-sector decomposition of the economy, this article estimates the role of these misallocations in accounting for the cross-country income distribution. A key contribution is the ability to bring sector-specific data on human and physical capital stocks to the analysis. Variation across countries in the degree of misallocation is shown to account for 30–40% of the variation in income per capita, and up to 80% of the variation in aggregate TFP.     

Is more competition conducive to the macroeconomic performance in the euro area?

One of the main goals of the European Union, laid down, inter alia, in the Lisbon Strategy and in the “Europe 2020” Strategy, is to raise employment. One important means of supporting the creation of new jobs is to increase competition. In this paper, it is shown that on average the mark-up, i.e. the deviation of prices from marginal cost in the euro area still exceeds the levels observed in the UK and in the US. After completion of the Single Market Programme in 1993, the mark-up has declined in the euro area and even more in the UK. Nevertheless, there is a strong cross-country variation between Member States, with a particularly high mark-up ratio found for Italy. Panel estimations show that total factor productivity growth, labour productivity growth and the labour market performance in the euro area could be improved by reducing the mark-up. This could be achieved by a proper institutional design. More competition could indeed improve the macroeconomic performance.     

Efficiency and technical progress: sources of convergence in the Spanish regions

The paper analyses the contribution of efficiency as a mechanism of labour productivity convergence, taking as the unit of analysis the Spanish regions in the period 1964–1993. Using the stochastic frontier approach, a translogarithmic production function is estimated for the different sectors of the Spanish regional economy, demonstrating on this basis the existence of substantial differences in efficiency between sectors as well as between regions. With regard to convergence, the results obtained indicate that at aggregate level the convergence observed in labour productivity is explained by the faster growth of the capital-labour ratio of the initially poorer regions and the contribution of technical change and the efficiency, hence by the convergence of TFP. However, the information by sectors shows different results. Thus, on the one hand, the importance of the convergence in production per employee is seen in all sectors except agriculture and, on the other it is observed that technical change is a factor of convergence in all sectors but construction, and, qualitatively, the contribution of technical change is greater than the contribution of efficiency. By sectors, technical change contributed significantly to labour productivity convergence in agriculture, but the faster growth of the capital-labour ratio of the rich regions acted as a mechanism of divergence, completely counteracting the technological catching-up effect. It is further concluded that, as well as the contribution of the accumulation of factors, the positive evolution of efficiency in the poorest regions favoured convergence in the construction and industry sectors, whereas technical progress was decisive in industry and the services sectors.     

The effects of integration on regional disparities: Convergence, divergence or both?

This paper offers an explanation for the coexistence of convergence across countries and the lack thereof at the regional level in the European Union. The model shows that, even if it accelerates growth and brings convergence across countries, the intensification of international knowledge spillovers due to more cross-country interaction may exacerbate within-country regional disparities, if regions with different specialization do not benefit evenly from the exchange of knowledge. The empirical evidence supports the implications of the model. In particular, the data show that regions specialized in advanced sectors at the beginning of the sample period became more similar in terms of per capita income, while regions specialized in traditional sectors lagged.     

Structure and performance of the service sector in transition economies1

This paper examines the performance of the service sector in the Eastern European transition economies during the 1997–2004 period. The performance of the service sector as a whole and of its sub‐sectors is very heterogeneous within the region. Service sub‐sectors that are information and communications technology producers or users and those using skilled labour more intensively exhibit the highest labour productivity growth. Our estimates show a positive and significant effect of liberalization on service labour productivity growth that is stronger for sub‐sectors that are more distant from the technological frontier. Service liberalization is also shown to have a positive effect on labour productivity levels and growth of downstream manufacturing industries.     

Productivity and convergence across U.S. States and industries

We examine the sources of aggregate labor productivity movements and convergence in the U.S. states from 1963 to 1989. Productivity levels vary widely across sectors and across states, as do sectoral output and employment shares. The main finding is the diverse performance of sectors regarding convergence. Using both cross-section and time series methods, we find convergence in labor productivity for both manufacturing and mining. However, we find that convergence does not hold for all sectors over the period. Decomposing aggregate convergence into industry productivity gains and changing sectoral shares of output, we find the manufacturing sector to be responsible for the bulk of cross-state convergence.