SOURCES OF PRODUCTIVITY GROWTH IN AUSTRALIAN TEXTILE AND CLOTHING FIRMS*

This paper estimates the sources of productivity growth in Australian textile and clothing firms based on the Business Longitudinal Survey (BLS) from 1995 to 1998. Productivity growth estimates have been obtained for each sub‐category of textile and clothing firms. Sources of growth in multifactor productivity (MFP) are examined with growth in technical efficiency and scale effects based on estimates of stochastic frontier production functions. Separate estimates of output growth have been compared with the productivity growth estimates for each of the product categories. MFP improved in all clothing firms and declined in textile firms over 1997–1998 by four‐digit level of Australia New Zealand Standard Industrial classification Scheme (ANZSIC). MFP declined in most major categories of both textile and clothing firms in 1995–1997. Changes in technical efficiency mostly dominated scale effects in the overall direction of MFPG in both textile and clothing firms. The findings of the study provide evidence for policies for improving the firms’ operative performance in the ongoing liberalised regime.     

Impact of the adoption of information and communication technologies on firm efficiency in the Tunisian manufacturing sector

This paper aims at measuring the impact of information and communication technology use on the efficiency of the Tunisian manufacturing sector at the firm level within a simple theoretical framework. We are using a firm-level panel data for the manufacturing sector in Tunisia to investigate whether adoption of ICT influences efficiency in factor use. The analysis is conducted through the use of a parametric method to measure technical efficiency. We estimate a stochastic production frontier and the relationship aims to explain technical efficiency differentials in a single stage as suggested by Battese and Coelli [Battesse, G.E, Coelli, T.J. (1995). A model for technical inefficiency in a stochastic frontier production function for panel data. Empirical Economics, 20, 325–332].The results have confirmed the presence of positive returns to ICT capital. We have found that the impact of ICT on efficiency is strong. Our results also suggest that it is important to carefully control for human capital related characteristics of employment when studying the effect of ICT. The evidence shows that achieving benefits from investment in ICT requires complementary investments and changes in human capital. This means that the combined use of ICT and human capital in a firm would enhance its efficiency beyond the direct effects of these factors taken alone.     

IDENTIFYING AND ESTIMATING SOURCES OF TECHNICAL INEFFICIENCY IN KOREAN MANUFACTURING INDUSTRIES

This study estimated translog stochastic frontier production functions using an unbalanced panel of Korean manufacturing firms in the food, textile, paper, chemical, basic-metal, and fabrication sectors. The sectors were estimated individually to investigate whether technical efficiency is systematically related to firm size, dependency on external funds, research and development investments, and exports. The empirical results suggest that firm size has a positive and significant effect in every sector. The effects of the other factors are less systematic and vary across sectors.     

Technical Efficiency in the Chinese Textile Industry

This paper presents a measurement of the technical efficiency of textile industries with 4-digit codes in China by using the cross-section data from 2002 and 2007 and a fully nonparametric stochastic frontier estimation approach. The technical efficiency of these textile industries is compared across six economic ownership types and across seven regions in China. This uncovers the effects of the proprietary characteristics and the location of a firm on its technical efficiency performance. The nonparametric estimation provides some interesting findings. First, textile production in China performs with a decreasing return to scale. The difference between the output elasticity of labor and that of capital decreases from the year 2002 to 2007. Second, the technical efficiency of the 4-digit textile industry in China is significantly contingent on its ownership and location. Privately-run textile enterprises on average perform with the highest level of technical efficiency among the six ownership types while state-owned enterprises perform with the lowest level of technical efficiency, whether or not the location dummies are accounted for. Third, the technical efficiency evaluated by regions follows the order: “eastern area > southern area > central area > northern area,” which remains unchanged across the two years.     

Economic versus physical input measures in the analysis of technical efficiency in fisheries

The measurement of technical efficiency requires the estimation of an appropriate production frontier. This is based on a set of inputs that are assumed to influence the level of output. Deviations from this frontier production function are separated into random variation and inefficiency. However, mis-specification of the production function through the use of inappropriate input measures may result in a bias in the measures of inefficiency. In fisheries, production is generally assumed to be a function of stock size, fishing time and the level of physical inputs employed. Defining the appropriate levels of physical inputs, however, is not straightforward, and several alternative measures are available. While economic measures of capital are more intuitively appealing, physical measures are generally readily available and hence less costly to collect. In this study, technical efficiency is measured for three fleet segments operating in the North Sea using three different gear types. The effects of using different measures of capital in the production frontier on the efficiency estimates are examined.     

The Evolution of Technical Efficiency in the Northern Ireland Manufacturing Sector, 1973–1985

This paper uses a stochastic frontier production function approach to measure technical efficiency in firms in Northern Ireland. Firm level census of production panel data were used to examine how efficiency in firms changed over the period 1973–1985. Once estimates of efficiency were made, the causes of inefficiency based on characteristics of firms were examined. The results indicate that efficiency in Northern Ireland has improved significantly over-time. The largest increases in efficiency were in indigenously owned firms. The results suggest that many Northern Ireland owned firms were 'catching-up' in terms of efficiency with foreign owned firms over the period.     

Start-up Capital, Microenterprises and Technical Efficiency in Mexico

Access to adequate start‐up capital has been identified as an important deterrent to microenteprise development and growth. Using firm level data from Mexico's National Survey of Microenterprises, we estimate a stochastic frontier production function with inefficiency effects related to the main sources of start‐up capital. Microenterprises utilizing bank loans, carryover business capital, moneylenders and credit from clients and suppliers are more technically efficient than those relying on family, friends and on own financial sources. Bank loans led to the highest degree of technical efficiency, indicating a well‐functioning screening process despite information asymmetries. Banks tend to offer the largest average loan size with the longest terms which are significant factors in allowing microentrepreneurs to overcome financing constraints.     

Human capital effects on technical inefficiency: a stochastic frontier analysis across industries of the Greek economy

In this paper we examine the impact of human capital on technical inefficiency. A stochastic production frontier is simultaneously estimated with a technical inefficiency model using data from one-digit industries of the Greek economy, for the period 2000–2005. The results indicate a significantly negative impact of human capital on technical inefficiency, which is comparatively lower in magnitude for the sector of public services. The most efficient industries of the Greek economy are those of Education, Financial intermediation and Real estate, renting & business activities. The highest contribution of human capital on technical efficiency is observed in the industries of Health, Education and Real estate, renting & business activities.     

Evaluating the technical efficiency of large US law firms

We conduct a performance evaluation in terms of technical efficiency of large law firms based on a unique sample of 163 large law firms in the USA in 1994. To estimate technical efficiency for individual firms, we use the stochastic frontier production function with composed errors where output (measured in terms of revenue) is a function of various labour and human capital inputs. Based on the sample, the average level of technical efficiency in the production of legal service in large US law firms is estimated at 82.20%. More than 87% of the firms attained 75% or higher level of technical efficiency. The estimation results also indicate that the number of lawyers, the number of paralegals, and the number of associates per partner, have a positive and statistically significant effect on the production of legal service.     

ICTs and time-span in technical efficiency gains. A stochastic frontier approach over a panel of Italian manufacturing firms

In this paper, in contrast to much of the existing literature dealing with the impact of information and communication technologies (ICTs) on labour productivity, we assess the relationship between ICT investments and technical efficiency (TE) using a stochastic frontier approach. We utilize a large panel dataset of Italian manufacturing firms over the period 1995–2006 and confirm the findings of the previous work on ICT and productivity. In addition, we test to what extent ICT investments influence the gap between firms and the production frontier; that is, how adoption of ICT influences the narrowing of the said gap. We also test the duration of the effects of adopting ICT on technical efficiency. Finally, our results indicate that ICT returns on TE are influenced by certain firm characteristics, most of which idiosyncratic, such as management practices, labour organization, research and development.     

Technology,Exports And Firm Efficiency In Taiwanese Manufacturing

Using firm-level data from the 1986 Census of Manufactures of Taiwan, we examine the links between technical efficiency and firm investments in technology and exports. Stochastic production frontier techniques are used to estimate the technical efficiency of firms by investments in technology as well as by export orientation. Our results indicate that accounting for firm investments in technology is critical in explaining the strong export-productivity link in the extant literature. For the group of large, high technology firms, the differences in the mean efficiencies between exporters and non-exporters are not significantly different than zero in all nine industries under study. However, for the large number of small firms that make no formal investments in technology. exporters are significantly closer to the production frontier than their counterparts that sell in the domestic market.     

我国上市公司专利生产技术效率——基于7个行业405家上市公司的经验证据

利用2005—2010年我国7个行业405家上市公司的面板数据,采用随机前沿分析方法和面板数据模型,研究了上市公司的专利生产技术效率及其影响因素和收敛性。研究结果显示:R&D资本投入和R&D劳动投入对专利产出具有正效应,其中R&D劳动投入的正效应更大;上市公司的专利生产技术效率总体上较小,具有增长趋势和收敛性;上市公司的技术装备利用率、资本密集度、国际化水平、国有股比例和公司规模对其专利生产技术效率的提升具有显著影响。     

The effects of agglomeration economies on technical efficiency of manufacturing firms: evidence from Indonesia

This article examines the effects of agglomeration economies and industrial structure upon firm-level technical efficiency in the Indonesian manufacturing industry over the period 2004–2009. A stochastic production frontier and three channels of agglomeration economies consisting of specialization, diversity and competition are used. The empirical results show that the effects of specialization and diversity upon firm-level technical efficiency are positive and negative, respectively, indicating that specialization is more favourable than diversity for stimulating firms’ technical efficiency. Competition has a positive sign, showing that region with high levels of competition tend to be more conducive in accelerating firm-level technical efficiency. In terms of firm location, both dummy for urban region and industrial complex turn out to be positive, indicating that firms located in both areas are experienced higher technical efficiency. Both firm size and age also have positive effect upon technical efficiency.     

The efficiency of SMEs in Thai manufacturing: A stochastic frontier analysis

This study examines the technical efficiency of Thai manufacturing SMEs and their firm-specific determinants utilising firm-level industrial census data for 1997 and 2007. Results from a stochastic frontier production function and technical inefficiency effects model reveal that Thai SMEs are overwhelmingly labour intensive with low average technical efficiency in both years. Results also indicate that firm size, firm age, skilled labour, location, type of firm ownership, government assistance, foreign investment and export activity are important firm-specific factors contributing to the technical efficiency of SMEs. Specific policies are warranted to improve Thai SMEs. These policy measures include: easier access to financial services, access to skilled labour, training of the workforce and entrepreneurs, addressing location and regional capacity inequities, encouraging foreign investment for operational synergies and export incentives for penetration in the world market.     

Public and private inputs in aggregate production and growth: a cross-country efficiency approach

In a cross section of OECD countries, we replace the macroeconomic production function by a production possibility frontier, total factor productivity being the composite effect of efficiency scores and possibility frontier changes. We consider, for the periods 1970, 1980, 1990 and 2000 one output – GDP per worker – and three inputs – human capital, public physical capital per worker and private physical capital per worker. We use a semi-parametric analysis, computing Malmquist productivity indexes, and we also resort to stochastic frontier analysis. Results show that private capital is important for growth, although public and human capital also contribute positively. A governance indicator, a nondiscretionary input, explains inefficiency. Better governance helps countries to achieve a better performance. Nonparametric and parametric results coincide rather closely on the movements of the countries vis-à-vis the possibility frontier and on their relative distances to the frontier.     

Technological Competence And Firm Economic Performance In Zimbabwe's Manufacturing Industry

Using data obtained from firm interviews, the paper attempts to relate, statistically, economic performance with technology. The firms interviewed belong to four industries: food and beverages (ISIC 31), textiles and clothing (ISIC 32), wood and furniture (ISIC 33), and metalworking (ISIC 34). An aggregate, synthetic, technology variable was built using data on three components: transfer of technology channels, manpower technical skills, and technological efforts. The transfer channels component comprised three sub-components: number of licensing contracts, number of technical assistance agreements, and number of expatriate technical personnel. The skills component also included three sub-components: number of engineers, number of scientists, and number of middle level technical personnel employed. The technical efforts component was formed by the addition of two normalized sub-components: R&D expenditures and number of uses made of technical support services. All these variables were measured at the individual firm level. The paper explores first the relationship between technology (as defined above) and two potential explanatory variables: size of firm and foreign ownership. In a second statistical exercise, the technology variable is incorporated, with traditional factors of production, in a production function. In the last statistical exercise, firm performance indicators were related to technology. Based on the availability of reliable data, the two performance indicators selected were: output per worker and whether the firm exported part of its output or not. The possible incidence of sectoral (industry) effects was also taken into account. It could be concluded that the sample data used shows a statistically significant, though not very strong, effect of the technology variable on both, output and output per worker, and a somewhat stronger association with whether Zimbabwe's manufacturing firms export or not.     

Trade liberalization and technical efficiency in the Indonesian chemicals industry

This article examines the impact of trade reform on technical efficiency on the Indonesian chemicals industry using firm-level panel data. The effects of trade reform on technical efficiency are analysed using a stochastic frontier approach. Two variables represent trade reform in this model: effective rate of protection (ERP) and import ratio (IMP). The findings of the present study suggest that both trade reform variables have significant effects on technical efficiency. The coefficient of ERP has a positive sign and is statistically significant, which means that an increase in ERP increases the inefficiency (or decreases the technical efficiency) of firms in the chemicals industry. The coefficient of IMP is negative and statistically significant, which represents the negative impact of IMP on technical inefficiency (or positive on technical efficiency). Thus, trade reform, a reduction in ERP or an increase in IMP, has an unambiguously positive effect on technical efficiency in the Indonesian chemicals industry.     

Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing

The purpose of this paper is to propose a simple stochastic frontier model with a non-parametric specification for covariates affecting the mean of technical inefficiency. We derive a simple two-step semiparametric estimation procedure to estimate the frontier parameters as well as the mean of the technical inefficiency. The consistency of the estimator and its asymptotic normality are shown. The proposed method is illustrated using a large panel data set of British manufacturing firms.     

SUBSIDIES AND INEFFICIENCY: STOCHASTIC FRONTIER APPROACH

U.S. urban transit systems receive operating and capital subsidies from various levels of government. Each firm minimizes its cost net of subsidies subject to its production function. The first order conditions from this minimization give a set of equations that are estimated using a stochastic frontier approach. From the results are calculated technical and allocative inefficiencies. The allocative inefficiencies are further decomposed among two sources, subsidies and factors internal to the firm. The analysis reveals large allocative inefficiencies between labor, fuel, and capital. Furthermore, it finds that subsidies lead to excess use of labor relative to capital and excess use of fuel relative to capital and labor. Also, most allocative inefficiencies in firms are due to internal factors and not subsidies, and the sizes of the inefficiencies vary substantially among transit firms.     

SERVICE QUALITY IN ELECTRICITY DISTRIBUTION IN BRAZIL: A MALMQUIST APPROACH

The paper undertakes a dynamic analysis for service quality in the electricity distribution in Brazil between 2010 and 2014 based on Malmquist indexes constructed upon Data Envelopment Analysis (DEA) distance functions. The motivation for the less usual consideration of efficiency frontiers for service quality, that does not rely on traditional inputs and outputs but rather on quality indicators, builds on previous static applications in the context of telecommunications. The analysis considers undesirable technical indicators for quality as inputs and desirable consumer satisfaction indicators for quality as outputs in the efficiency frontier analysis. The bootstrap‐corrected Malmquist indexes indicated service quality deterioration in 38.1 per cent, quality stagnation in 40.5 per cent and quality improvement only in 21.4 per cent of the cases. When one decomposes the Malmquist index, the evidence does not suggest relevant frontier shifts and indicates a dominant role for the catch‐up effect. Finally, Malmquist indexes are regressed against variables that may portray heterogeneities, such as firm size, service area, density, ownership and regional dummies in terms of a well‐known two‐stage procedure. The mostly weak significance results reinforce the plausibility of the initial analysis.