Agglomeration Economies and Productivity Growth in Manufacturing Industry: Empirical Evidence from Indonesia

This study examines the effect of agglomeration economies on productivity growth in Indonesian manufacturing industries during the first decade of this century. Productivity growth is measured at the firm level using the Färe‐Primont Productivity Index. Each firm's productivity growth is then regressed against a set of firm and industry characteristics, including three measures of agglomeration representing the effects of specialisation, diversity and competition. The results show evidence of a positive specialisation effect and a negative diversity effect for aggregate manufacturing and sub‐sectors. Furthermore, there are mixed effects across industries, suggesting that Porter's competition externalities stimulate firm productivity growth under some conditions but not others.     

Schumpeterian and semi‐endogenous productivity growth explanations

This paper examines the nature and sources of productivity growth in South African manufacturing sectors, from an international comparative perspective. On panel data estimations, we find that the evidence tends to support Schumpeterian explanations of productivity growth for a panel of countries including both developed and developing countries, and a panel of South African manufacturing sectors. By contrast, semi‐endogenous productivity growth is supported for a panel of OECD (Organisation for Economic Cooperation and Development) manufacturing sectors. However, we also report evidence that suggests that sectors are not homogeneous. For this reason, time series evidence may be more reliable than panel data. Time series evidence for South Africa suggests that prospects for the sustained productivity growth associated with Schumpeterian innovation processes, is restricted to a narrow set of sectors. For the OECD manufacturing sectors, both semi‐endogenous and Schumpeterian growth finds support. Schumpeterian growth is present for a larger number of sectors than for South Africa, and is most prevalent in the North American economies.     

International Trade and Collective Bargaining Outcomes: Evidence from German Employer–Employee Data

In theoretical trade models with variable mark‐ups and collective wage bargaining, exposure to international markets might reduce the exporter wage premium. We test this prediction using linked German employer–employee data covering the years 1996–2007. To separate the rent‐sharing mechanism from assortative matching, we exploit individual worker information to construct profitability measures that are free of skill composition. Our results show that rent‐sharing is less pronounced in more export‐intensive firms or in more open industries. The exporter wage premium is highest for low‐productivity firms. In line with theory, these findings are unique to the subsample of plants covered by collective bargaining.     

Service Deregulation,Competition, and the Performance of French and Italian Firms

This article reports estimates of the impact of service regulation reform on the productivity of French and Italian firms in retail, transports and professional services over the period 1998–2007. We implement a two‐stage least squares estimation: the first‐stage instruments mark‐ups, a financial measure of rents, with barriers to entry and the second stage estimates the impact of instrumented mark‐ups on total factor productivity (TFP), a real measure of firm efficiency. We find that entry barriers lower firm productivity by raising mark‐ups and rents. These estimates imply that, if French and Italian regulators had adopted the OECD best practices in terms of entry barriers, firms in these sectors would have increased their TFP level by five percentage points. We do not find any robust evidence of a non‐linear relation between mark‐up and productivity.     

Industry concentration in South African manufacturing industry: Trends and consequences, 1972–96

This paper reports industry concentration measures for the South African manufacturing sector over the 1972–1996 period for the three digit industry classification. Noted are high level of industry concentration in South African manufacturing, and a rising trend in concentration across a wide range of industries as measured by the Gini coefficient, though some countervailing evidence emerges on the Rosenbluth index. Analytically the paper examines the impact of concentration on employment and investment rates. Results show that increased concentration unambiguously lowers employment. For investment rates, increased inequality of market share serves to raise investment rates, while falling firm numbers for any given inequality of market share lowers investment rates. The difference is consistent with a disciplining effect of a competitive fringe of firms on the behaviour of large firms in a market.     

The growth of manufacturing protection in 1920s Britain

Prior to the Import Duties Act of 1932, an assortment of legislation expanded the scope of manufacturing protection in Britain. This article assesses the magnitude of manufacturing protection before the Import Duties Act and finds that, in 1930, 9% of net manufacturing output occurred in a protected industry. In the late 1920s, protected industries exhibited above‐average growth in labour productivity. However, protection was disproportionately extended to newer manufacturing industries, which presented greater potential for productivity growth. This article concludes that protection did not enhance productivity growth in Britain's manufacturing industries in the late 1920s.     

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.     

THE SOURCES OF AGGREGATE PRODUCTIVITY GROWTH: US MANUFACTURING INDUSTRIES, 1958–1996

The sources of aggregate productivity growth are explored using detailed data for four‐digit US manufacturing industries during 1958–96 and a decomposition formula that allows us to quantify the contribution of structural change. Labour productivity as well as total factor productivity are considered with either value‐added or employment shares serving as aggregation weights. It is shown that structural change generally works in favour of industries with increasing productivity. This effect is particularly strong in the years since 1990, in high‐tech industries and in durable goods producing industries. The impact of the computer revolution can be clearly identified.     

Capacity utilization and technology shocks in the US manufacturing sector

The ability of real business cycle models to generate reasonable aggregate fluctuations depends on the time series properties of technology shocks measured by the change of total factor productivity. Three specifications of a non‐parametric productivity analysis which correct to different degrees for variations of capacity utilization are compared in this article using data for three‐ and four‐digit US manufacturing industries during the years 1958–1996. The results show that correcting for utilization generally leads to substantially smaller technology shocks that are less strongly correlated with growth of output and hours. Moreover, the probability of technological regress is considerably lower after the correction.     

ECONOMIC PERFORMANCE AND PUBLIC INFRASTRUCTURE: AN APPLICATION TO GREEK MANUFACTURING

To comprehend the impact of public infrastructure on economic performance this paper provides a measure of productivity growth as derived from duality theory. This productivity growth is decomposed into the components of technical change, returns to scale and the effects of public infrastructure, the variable of our interest. In an application, we opt for Greek manufacturing so as to investigate whether the decline in its growth rate is partly explained by public infrastructure. Despite some variation in the estimation results of shadow shares across industries, public infrastructure asserts a cost saving effect in most industries, though it also appears that traditional labour‐intensive industries with lower level of technological advancement do not benefit from the provision of public infrastructure. The estimation results further demonstrate that while public infrastructure enhanced productivity growth over the sample period for most industries, low infrastructure investment in the 1970s and the 1980s undermined productivity growth.     

制造业劳动生产率变动及其源泉——基于中国2000-2007年规模以上制造业企业数据的估算

本文对中国2000-2007年制造业的劳动生产率情况进行了全面测算。结果表明,自进入21世纪以来,制造业总体劳动生产率增长速度很快,这一快速增长主要是由技术进步而非要素投入驱动的。劳动生产率的快速提高源自劳动密集型产业自身生产率的进步,并没有从产业结构转换上获取劳动生产率的提高。依赖劳动密集型产业的东部沿海地区劳动生产率的增长已有所放缓,而后起的中西部地区依赖资本密集型产业则显现出强劲的发展势头。由此看来,依赖劳动密集型产业的发展来实现经济发展的源泉已逐渐耗尽,我国制造业未来的发展和劳动生产率的提高需要产业结构的升级和调整。     

Demand and innovation in productivity growth

The labour productivity impact of demand and innovation is investigated in this paper combining insights from the Kaldorian and Schumpeterian traditions. After a review of studies in such traditions, a general model is proposed for explaining productivity growth in European manufacturing and service industries in the late 1990s, followed by two distinct specifications for the industries oriented toward product innovation, and for those where process innovation dominates. The empirical analysis is based on the match of the SIEPI‐CIS2 database developed at the University of Urbino and Eurostat Input–Output Tables at the industry level, for 22 manufacturing sectors and 10 services sectors. Six European countries are considered: Germany, France, Italy, the Netherlands, Portugal and the United Kingdom. The results show that productivity growth in European industries can be explained by a combination of technology factors and demand dynamics, confirming the complementarity of technology and demand effects. On the demand side, household consumption emerges as the most pervasive component of demand, able to stimulate greater efficiency in all manufacturing and service industries. Investment also has a role, focused however on the capital goods producing industries. On the technology side, the mechanisms of productivity growth are fundamentally different in the industries oriented towards product innovation and in those dominated by process innovation. This evidence supports the view that innovation in firms and industries can be associated to two contrasting strategies, searching either for technological competitiveness, through knowledge generation, product innovation and expansion of new markets, or aiming at greater cost competitiveness, through job reductions, labour saving investment, flexibility and restructuring.     

Testing the Linkages between Trade and Productivity Growth

The authors examine the effect of trade on productivity growth using data from nine manufacturing industries across 12 OECD countries over the period 1978–97. Because causality between productivity growth and trade share runs both ways, geographical characteristics of countries are used to instrument for average bilateral trade volumes over the 20‐year period. In addition, to exploit the time‐series nature of the data, the authors construct a panel dataset and employ dynamic panel data techniques. After controlling for industry‐specific heterogeneity, the results indicate that increased exposure to trade, in particular higher import volumes, exerts a positive influence on industries' productivity growth. However, the effect is rather small.     

Trade, Human Capital, and Technology Spillovers: an Industry-level Analysis

This paper studies whether trade promotes North–South and South–South technology spillovers at the industry level, and how the absorptive capacity of the South affects the impact of the technology spillovers. Using data from 16 manufacturing industries in 25 developing countries from 1976 to 1998, the paper shows: (i) North–South trade‐related R&D has a substantial impact on total factor productivity in the South; (ii) South–South trade‐related R&D also promotes technology spillovers but with a smaller magnitude; and (iii) human capital is very important in facilitating North–South and South–South technology spillovers: an increase in human capital could lead to over three times the size of technology spillovers from an increase in trade‐related foreign R&D.     

Outsourcing, Foreign Ownership, and Productivity: Evidence from UK Establishment-level Data

The paper presents an empirical analysis of “outsourcing” using establishment‐level data for UK manufacturing industries. The authors analyze an establishment's decision to outsource and the subsequent effects of outsourcing on the establishment's productivity. Outsourcing is compared in domestic with foreign‐owned establishments. The empirical results suggest that high wages are positively related to outsourcing, suggesting that the cost‐saving motive is important. Foreign‐owned firms have higher levels of outsourcing than domestic establishments. In the productivity analysis, an establishment's outsourcing intensity is positively related to its labor productivity and total factor productivity growth, and this effect is more pronounced for foreign establishments.     

GAUGING THE SOURCES OF GROWTH OF HIGH‐TECH AND LOW‐TECH INDUSTRIES: THE CASE OF KOREAN MANUFACTURING*

Literature argues that the source of growth for high‐tech industries emanates from technological progress, while that for low‐tech industries comes from technical efficiency improvement. Also, some empirical studies have shown that technological progress is often accompanied by deterioration in technical efficiency. The focus in this study is to discuss a methodology and test the above two hypotheses with regard to Korean manufacturing data from 1970 to 1997. The study found that the 2.5 per cent average annual rate of technological progress during this period was the major contributor to total factor productivity (TFP) growth in Korean manufacturing whereas technical efficiency grew by a modest 1.1 per cent per annum. The analysis also showed that technological progress was responsible for TFP growth in both high‐tech and low‐tech industries and that both technological progress and technical efficiency improvement co‐existed in the case of Korean manufacturing industries.     

A STATISTICAL ANALYSIS OF PRODUCTIVITY IN SELECTED SERVICE INDUSTRIES IN THE UNITED STATES, 1939–1963

This paper examines differentials in output, employment and productivity across seventeen service industries in the United States from 1939 to 1963. Included are 9 retail trades and 8 services mostly from the personal service group. The industries chosen were those for which it was possible to obtain from available data reasonably comparable measures of output and input for selected years since 1939. Also, they are industries for which it is possible to calculate a measure of real output that is not based on labor input.
Sixteen of the industries show positive rates of change of real output per man. Thus there appears to be no basis for assuming that productivity cannot or does not increase in industries providing services. However, the rate of increase for the group as a whole was not as rapid as in manufacturing or in goods production as a whole.
The data for the seventeen industries give strong support to the hypothesis of a positive correlation between industry rates of growth and rates of change of productivity. The correlations are of the same order of magnitude as those found by other investigators in studies of manufacturing industries.
The coefficient of correlation between growth of output per man and growth of output is .93; between growth of output per man and growth of employment it is .54 for 1939–1963. The comparable coefficients for the 1948–1963 period are .70 and .13.
The results also parallel those reported for manufacturing in one other respect, namely, the absence of any correlation between changes in output per man and changes in compensation per man.
The paper concludes with a discussion of the problems encountered in measuring changes in real output in these industries and presents some alternative estimates based on different concepts and different sources.     

STRUCTURAL CHANGE AND THE GROWTH OF INDUSTRIAL SECTORS: EMPIRICAL TEST OF A GPT MODEL

This paper investigates the empirical relevance of a model of structural change and the growth of industrial sectors. The model analyzes the process of diffusion of general‐purpose technologies (GPTs) and how this affects the dynamic performance of manufacturing and service industries. The empirical analysis studies the dynamics and the determinants of labor productivity growth for a large number of sectors in 18 OECD countries over the period 1970–2005. The results of dynamic panel data and cross‐sectional analysis provide support for the empirical validity of the model. Industries that are close to the core of ICT‐related GPTs are characterized by greater innovative capabilities and have recently experienced a more dynamic performance. Relatedly, countries that have been able to shift their industrial structure toward these high‐opportunity manufacturing and service industries have grown more rapidly.     

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.     

The productivity trend in Iran Evidence from manufacturing firms

Iran has been experiencing slow growth for the past ten years. Using plant‐level information, we show that on average firm‐specific productivity in manufacturing sectors declined at the rate of 2.6% annually, while large top decile firms experienced a modest growth in productivity between 2005 and 2011. We decompose this trend and find that within‐plant variation is its main driving force while the between firms and industries component is insignificant. We test several alternative explanations that may contribute to these negative trends. We show that the subsidy reform had a negative effect, while privatization seems to have had no effect. Private management not affected productivity growth, while firm size is associated with higher productivity growth. Also, we find that productivity growth decreases with the energy intensity of the firm. We also find that R&D expenditures significantly increase productivity growth, while the R&D sales ratio is about 0.5% in manufacturing sectors, which is about one‐fifth of the world average. A one‐percent point increase in R&D expenditures increases productivity growth by 0.5%.