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.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

Innovation and Productivity in European Industries

The labour productivity impact of innovation is investigated in this paper combining neo-Schumpeterian insights on the variety of innovation with the importance of industrial structures and firm size; two models are proposed for explaining productivity and export success in European manufacturing industries and firm-size classes. The empirical estimates are based on data from the European innovation survey (CIS 2), covering Austria, France, Italy, the Netherlands, and the UK, broken down by 22 sectors and for large, medium, and small firms. The econometric results, obtained adopting cross-sectional estimation methodologies able to account for unobserved industrial characteristics, show that productivity in Europe relies on product and process innovation, with the support of the efficiency gains provided by grouped business structures. Conversely, in Italy the introduction of new machinery linked to innovation appears as the key mechanism supporting domestic productivity. When export success is considered, all countries have to rely on an innovation-based model of competitiveness.     

Engines of growth. Innovation and productivity in industry groups

The diversity of technological activities that contribute to growth in labour productivity is examined in this article for manufacturing and services industries in eight major EU countries. We test the relevance of two “engines of growth”, i.e., the strategies of technological competitiveness (based on innovation in products and markets) and cost competitiveness (relying on innovation in processes and machinery) and their impact on economic performance. We propose models for the determinants of changes in labour productivity and we carry out empirical tests for both the whole economy and for the four Revised Pavitt classes that group manufacturing and services industries with distinct patterns of innovation. Tests are carried out by pooling industries, countries and three time periods, using innovation survey data from CIS 2, 3 and 4, linked to economic variables. The results confirm the specificity of the two “engines of growth”; economic performances in European industries appear as the result of different innovation models, with strong specificities of the four Revised Pavitt classes.     

THE JOB CREATION EFFECT OF R&D EXPENDITURES*

In this study we use a unique database covering 25 manufacturing and service sectors for 15 European countries over the period 1996–2005, for a total of 2,295 observations, and apply GMM‐SYS panel estimations of a demand‐for‐labour equation augmented with technology. We find that R&D expenditure – fostering product innovation – have a job‐creating effect, in accordance with the previous theoretical and empirical literature discussed in the paper. Interestingly enough, the labour‐friendly nature of R&D emerges in both the flow and the stock specifications. These findings provide further justification for the European Lisbon targets.     

Diversity in innovation and productivity in Europe

The diversity in innovation patterns across manufacturing and service industries and in their outcomes in terms of hourly labor productivity are investigated in this article considering six European countries. The Schumpeterian insights into the variety of innovation are developed in this work by identifying different innovation–performance relationships for industries and countries, relying either on the dominant role of product innovation, or on the diffusion of process improvements. Moreover, the “push” effect of innovation is combined with the “pull” effect of demand, by considering the impact of the dynamics of consumption and investment at the sectoral level. The results point out a “North-South” divide across EU countries, with the three countries of Northern Europe closely associated to the model of productivity growth based on product innovation, and the three Southern countries, mainly relying on the mechanisms by which process innovation is at the root of productivity improvements.     

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.     

Sources of aggregate labour productivity growth in Canada and the United States

Abstract.  In this paper we propose a decomposition technique to examine the sources of industrial contribution to aggregate labour productivity growth. We show that in terms of pure labour productivity growth, the manufacturing and service sectors contributed equally to the aggregate Canada‐U.S. labour productivity growth gap during the 1987–98 period. But, in terms of total industrial contributions, which also take into account the contributions from a change in relative size, the service sector was the largest contributor. We also find that high labour productivity growth industries did not attract resources from stagnant industries – a phenomenon consistent with Baumol's cost disease of stagnant industries. JEL Classification: O47, C43     

Technology,Growth and Employment

The relationship between technology, productivity and employment is a complex one. Increased productivity can lead not just to increased market share, but through falling relative prices can help expand markets, and through product innovation can develop new markets. On the other hand, if demand and hence output does not expand in line with productivity, then an inverse relation between productivity and employment will result. The European Union seeks to improve living standards in Europe by boosting productivity, competitiveness and employment together. How, though, is this to be achieved? This paper looks at the effects on productivity of different forms of investment--in physical capital, in Research & Development, and in human capital. The paper also distinguishes between the high-tech and low-tech sectors. There does appear to be scope for boosting both productivity and employment, particularly in the high tech sectors. But to do so will require increased investment across all three categories--in machinery, in innovation and in people.     

Employment Effects of Product and Process Innovation in Europe

This paper develops a model of the employment impact of innovation considering, on the one hand, the interactions with demand and labour costs and, on the other, the variety of patterns of technological change. Different technological strategies are considered. First, a search for technological competitiveness is based on product innovation and productivity rooted in quality advantages; second a strategy of active price competitiveness has productivity growth rooted in process innovation-based restructuring; third a passive price competitiveness strategy is pursued by non-innovators relying on cost-cutting. The new European innovation database drawn from the Community Innovation Survey 1994-96, merged with structural and macroeconomic data 1994-99 drawn from the OECD are analysed at a sectoral level across eight European countries: Italy, France, Germany, Denmark, Netherlands, Finland, the UK, and Sweden. The innovation survey data provide information on several quantitative and qualitative aspects of firms' innovative activities. A comparison of the results from the first (1990-92) and second (1994-96) Community innovation survey data is also carried out. The results show that, in the last decade, technological change has had a major impact on employment in manufacturing industry, associated with the dominance of an active price competitiveness strategy.     

Changes in the International Competitiveness of Australian Manufacturing: 1968 to 1989

Disaggregated data for twenty-seven Australian manufacturing industries are used to examine movements in international price competitiveness relative to each of sixteen major trading partners over the period 1968 to 1989. The changes in price competitiveness are decomposed into elements of exchange rates, tariff rates, profit margins and unit production costs. Great diversity in outcomes is found across both industries and trading partners, with differences in the growth of labour productivity and the cost of materials most closely associated with divergence in outcomes. The results show that domestic manufacturing industries have been able to achieve improved international competitiveness, where they have outperformed comparable industries in Australia's trading partners in terms of labour productivity growth or reductions in the costs of materials.     

Technological Change in Australian Manufacturing

In the modern era, the extent and character of technical change features prominently in discussions of productivity growth and movements in the competitiveness of manufacturing. While technical change is pervasive in modern manufacturing, it occurs unevenly. In this study, technical change is estimated by fitting dual cost functions for each of 38 sectors of Australian manufacturing over the 32 year period, 1968–69 to 1999–2000. The estimates show that technical change is heavily labour-saving in all industries, but that the overall rate of change, as measured by a rate of cost diminution, and the degree of bias towards saving labour, rather than capital or material, varies substantially across industries.     

中国制造业技术投入与产出绩效的统计分析

为考察中国制造业技术进步情况,本文将中国26个制造业划分为高、中、低技术含量产业,并分析了各类产业的技术投入与产出绩效统计指标。分析结果表明,在技术投入方面中国制造业总体技术开发投入显著增加,高技术含量制造业的技术投入较其他产业明显占优,一些中低技术含量产业技术投入增长很快,表明有关产业已由单纯依靠劳动力成本竞争逐渐转向依靠技术进步进行市场竞争,但各产业普遍存在着人力投入增长速度落后于物力投入的情况。在技术产出方面,各制造产业的劳动生产率显著提高,高技术含量的产业相对其他产业更加突出,在产品创新方面高技术含量产业总体情况优于中等技术含量产业,后者又优于低技术含量产业,表明产品创新在高、中、低技术含量产业间的分布呈结构优化的趋势。不同产业对提高劳动生产率和产品创新两种市场竞争方式的侧重点有所不同。     

A tale of industrial stagnation from Africa

Many African economies have experienced rather dismal industrial development since the 1980s. The consensus is that African firms lack competitiveness in a world with increasing trade openness. What determines competitiveness? A well‐known explanation is that resource endowments in Africa favour land not labour, which results in high wages, especially in comparison with ‘labour abundant’ Asian economies. This paper examines the validity of this view on the basis of the case of Sudan. We demonstrate that the lack of competitiveness of manufacturing industries is not caused by high wages. Assuming a direct relationship between labour productivity and international competitiveness, we argue that acute capacity underutilisation, caused by supply‐side constraints, lowers manufacturing productivity, which in turn negatively influences competitiveness.     

Localised Technological Progress And Intra-Sectoral Structures Of Employment

In this paper we put forward a model that explains a firm's employment growth with the degree of technological efficiency and labour costs. To measure efficiency, we use a non-parametric linear programming method. DEA. The results of empirical analysis of 450 firms in 12 manufacturing sectors confirm that innovative firms experience stronger employment growth. Because the demand growth effect of technological leadership outweighs the factor saving effect, firms which m technological leaders are in most cases the creators of jobs. Technologically backward firms, on the other hand, have few options to compensate their demand loss probably caused by deteriorating competitiveness. Consequently, their employment growth is relatively weak. The employment growth additionally depends on the type of factor combination, i.e. the technological trajectory chosen by an individual firm. The trajectory's effects vary significantly across industries. The effect of labour costs is generally negative. However, technologically leading industries are. less sensitive to increases in labour costs than nature industries.     

The effect of structural change on the self-reliance and interdependence of aggregate sectors: the case of Spain, 1980–1994

The objective of this paper is to analyse structural and technological change in the Spanish economy between 1980 and 1994 using the input–output tables of 1980, 1986, 1990 and 1994. First we obtain and compare four linkage components throughout the period for each of the nine aggregate sectors in which the industries are grouped. Second, using Structural Decomposition Analysis, we obtain a technological effect and a demand effect for each of the previous components. These pressures show that the process of the technological modernisation of the Spanish economy is strongly linked to the growth of the high- and medium-technology industries and the service industries, and the different contribution of these industries to the improvement of productivity. On the one hand, the technology industries increase productivity by using better technologies. On the other hand, the service industries do not raise it significantly and even reduce it by increasing their unit costs.     

Broad-based intangibles as generators of growth in Europe

This paper analyzes broad performance-based measures of intangibles in European Union countries to find new sources of growth and shows that intangible capital (IC)-driven growth was halted in European industries during the 2008–2013 financial crisis period. Much of this IC, such as purchased organizational, research and development (R&;D) and information and communication technology capital, is unaccounted for in systems of national accounts, so that total IC investment is 29.6% of value added, with R&;D having the lowest gross domestic product share at 5.0%. On average, deteriorating IC growth has decreased labor productivity by ?2.9% annually. Policies fostering multifactor productivity growth have been strongly biased and have ignored the loss of those skills necessary for long-term growth. During 2008–2013, innovation thus failed to compensate for Europe’s dwindling fixed-capital-intensive manufacturing and job losses, but broad-based IC offers a roadmap for recovery by relying on an increasing role for IC-producing services.     

Innovation spending and productivity growth in the German economy 1980–1986

A newly developed technique involving vertically integrated input-output sectors is used to examine the relationship between labour productivity and innovation expenditures in the German economy during the period 1980 to 1986. The productivity measures used, dubbed Harrod-Robinson-Read (HRR), take into account the direct and indirect labour used in each consumption goods sector. Included in these measures is the labour content of new capital investment.

The HRR measures show higher rates of productivity growth in most sectors, compared to the simple direct labour requirements measures. This is due to the fact that the HRR measures take into account the increased efficiency with which new capital is produced. The second part of the study examines the relationship between labour productivity and innovation expenditures as measured by the IFO (Institute for Economic Research – Munich) innovation survey. Using cross section data for 58 German industries, a strong correlation was found between direct labour productivity growth and direct innovation expenditure.

These results suggest that with more detailed capital expenditure data it should be possible to describe more precisely the relationships between innovation activity, spending on new capital, and productivity changes. The key to examining these relationships in more detail is the growing wealth of information contained in recent innovation surveys such as those done by the IFO.     

Technology and jobs

The article investigates the employment effects of technology. A set of models is developed where changes in industry-level employment are explained by changes in demand, wages, by the diffusion of innovation and its market impact. The empirical test uses data from two EU innovation surveys – CIS (Community Innovation Survey) 2 (1994–1996) and CIS 3 (1998–2000) – on 10 industrial sectors and 10 European countries. The results of the models show the importance to discriminate between different strategies for innovation, between high- and low-innovation industries, and between short-term labour market effects and the long-term impact of structural change.     

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.