Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA

This paper examines and compares the technical efficiency measures of Ontario and New York dairy producers for the period 1992 to 1998. A nonparametric stochastic frontier model is introduced to estimate technical efficiency. The backfitting algorithm of Breiman and Friedman is used to estimate the frontier. Empirical results indicate that during the period of study, New York dairy farmers produced milk more efficiently than Ontario dairy producers, but the magnitude of the difference was small. The estimated mean technical efficiency for the former group is 0.602 as compared to 0.532 for the latter. The results also indicated that over time, dairy farms in both regions improved their level of technical efficiency. Furthermore, no correlation was found between farm size and estimated technical efficiency.     

Analyses of technical efficiency using SDF and DEA models: evidence from Nepalese agriculture

Alleviation of poverty is a central issue in Nepal. Given the limited stock of land and the infant/unorganized manufacturing sector, increased demand for food has to be satisfied by improving production efficiency. This article examines how this could be achieved. Stochastic distance function and data envelopment analysis models identify the existence of a high degree of technical inefficiency in Nepalese agriculture, suggesting that there is a substantial prospect of increasing agricultural productivity using the existing level of inputs and resources more efficiently. Among the three farm sizes in the data set, medium size farmers achieve a higher technical efficiency than large and small farm sizes, suggesting that productive efficiency can be increased with the encouragement of creating medium size holdings. The observed decreasing returns to scale also implies that productivity gains could be achieved by breaking up of large farms into small family farms. The technical inefficiency model suggests the potential for shifting the production frontier upwards by providing ownership of land, increasing farmers’ education and knowledge, and increasing land quality, including irrigation facilities.     

Technical efficiency measures for olive-growing farms in Crete, Greece

This study attempts to contribute to the productivity literature of the agriculture of developing countries by exploring the distribution of technical efficiency over time among olive-growing farms operating in the southern part of Greece—specifically, the island of Crete. A balanced panel data set during the period 1987–93 is utilized for the estimation of the stochastic production frontier. The results show decreasing efficiency for farms since 1987 and suggest the need for a development strategy to improve their economic performance in the context of expected major changes in the Common Agricultural Policy. A further result is that farm size, the farmer's education, the existence of an improvement plan, and land fragmentation are the most important factors explaining inter-farm variation in efficiency.     

Cost efficiency and scale economies in the Turkish insurance industry

This article examines the cost efficiency and scale economies of insurance firms in the Turkish insurance industry over a 15-year period, 1990–2004. Using the stochastic cost frontier model, cost efficiency scores and scale economies were estimated for each firm in the sample. The results show that mean cost inefficiencies range between 18.3 and 36.9% of total costs and they do not tend to decrease over time. On average, small firms are more cost efficient than large firms. Economies of scale appear present and significant for any class size. The results suggest that there is a substantial difference in scale economies between small and large insurance firms.     

Determinants of technical efficiency of crop and livestock farms in Poland

Poland, one of the candidate countries for European Union membership, is currently experiencing acute structural problems within its agriculture sector. This article analyses technical efficiency and its determinants for a panel of individual farms in Poland specialized in crop and livestock production in 2000. Technical efficiency is estimated with stochastic frontier analysis (SFA) and confidence intervals are constructed. Determinants of inefficiency are also evaluated. The SFA results are compared with results using Data Envelopment Analysis (DEA). On average, livestock farms are more technically efficient than crop farms. For both specializations, the size–efficiency relationship is positive, that is large farms are more efficient. The SFA findings are generally supported by the DEA results. Soil quality and the degree of integration with downstream markets are highly important determinants of efficiency. The use of factor markets (land and labour) is important for crop farms, while livestock farms can rely on family labour and own land. Also, education is a constraint to efficiency particularly for crop farms.     

Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece

This study uses data envelopment analysis to examine the liquidity and sales efficiency of the Food and Beverage listed firms in Athens Exchange in the period 2006–2012. The liquidity efficiency of the firms is higher than the sales efficiency but the results indicate that there are not statistical significant differences in the rankings estimated by the two models in each period. The Malmquist Productivity Index reveals that over the period of the study, firms have experienced an annual average increase in productivity of 0.5% (a slight progress). On examining the components of this productivity change, it becomes evident that firms have experienced an annual average of 2% increase in technology combined with a decrease in technical efficiency of –1.5%. The results indicate that 52.4% of the firms experienced productivity gains in the examined period, and this was mainly the result of technological gain rather than efficiency improvement. More than 90% of the firms in the sample shift the efficiency frontier and only 33.3% of the firms are catching up, improving their productivity by reducing inefficiency. Moreover, the empirical study reveals that the overall technical inefficiencies of the firms are primarily caused by pure technical inefficiencies rather than scale inefficiencies.     

Technical and scale efficiencies of meat goat farms in the USA

This study determines i) scale and technical efficiencies, ii) marginal productive contributions for inputs and outputs and iii) efficiency drivers of meat goat farms in the USA. We estimate an input distance function (IDF) using a stochastic production frontier (SPF) technique. The average technical efficiency (TE) for the USA meat goat whole farm was 0.74. The operator education level, percentage of annual net farm income from the goat operation, regional differences and holding of an off farm job are the efficiency drivers of USA meat goat farms. We find increasing returns to scale (RTS) for USA meat goat farms. Our results suggest that USA meat goat farms can be scale efficient if their optimal size of operation is greater than approximately 64 goats or greater than 40 breeding does. Empirical Monte Carlo (MC) simulation techniques show the consistency of finite-sample properties for the input distance function.     

Investigating productivity change and hospital size: a nonparametric frontier approach

The study obtains measures of the productive efficiency of ‘larger’ and ‘smaller’ Northern Ireland hospitals during the 1986–92 pre-Trust period. The measures provide insights into how these hospitals were responding to the pressures for increased efficiency prior to Trust status. They also constitute a useful benchmark for evaluating productivity change under the post-1992 Trust status environment. A nonparametric frontier approach is used to measure productivity change and to decompose this into technical change (or shifts in the best practice frontier) and efficiency change (or change in how far a hospital is from the frontier). The latter change in efficiency is also decomposed into changes in scale efficiency, pure technical efficiency and input congestion. The findings indicate that smaller hospitals, starting from a less efficient base, achieved greater productivity gains than larger hospitals over 1986–92. For smaller hospitals, this was due to progressive shifts in the best practice frontier outweighing a substantial decline in efficiency. This decline was found to be due to a deterioration in scale efficiency over the period. The results overall support the current policy view that larger hospitals are more efficient than smaller hospitals in providing health care services.     

The relative efficiency of slave agriculture: a comment

In their book Time on the Cross, Fogel and Engerman (FE) present evidence that average factor productivity was greater for larger Southern slave farms in 1860 than for both free farms and smaller slave farms. In a recent article, Field (1988) lends support to the FE theory by finding that an upward shift in the production function occurs for slave farms at 15 slaves, the size at which FE propose that gang labour became feasible. In a more recent article, Grabowski and Pasurka (GP) contradict both FE and Field by finding that there was no relationship between the size of slave farms and their efficiency. The present paper extends both GP's and Field's work and refines a point made by FE. We distinguish between a technological advantage due to the gang labour system and revenue inefficiency due both to the incentive structure of slavery and the repugnance of gang labour, two factors which foster rational shirking and resistance by slaves. That is, we propose that relative to small slave farms, large slave farms may have enjoyed a higher revenue frontier but that actual output and revenue fell farther below their frontier. Our construction is consistent with the historical view that emphasizes the harshness of slavery, the repugnance of the gang labour system, and the rational resisting behaviour of the slaves. We test this hypothesis with the stochastic frontier function approach as did GP. However, our findings contradict them. We find, consistent with both FE and Field, that large slave farms exhibited superior technology over small farms. More importantly, we find empirical confirmation of our theory that large slave farms suffered greater revenue inefficiency than smaller slave farms.     

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.     

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.     

Efficiency,technological change and output growth in Greek olive growing farms: a Box-Cox approach

This paper captures the relative contributions of input growth, technological change and technical efficiency to olive oil production growth for a panel data set of 125 Greek olive-growing farms for the period 1987 to 1993. A flexible generalized quadratic Box-Cox functional form is proposed to represent the underlying production technology. This functional specification copes with the problem of zero inputs and nests all widely used production frontiers. Empirical results show that the observed production growth is mainly due to increased input use since it was not accompanied by rapid introduction of technological innovations and improvements in efficiency levels.     

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.     

Evolution of banking efficiency within an unstable macroeconomic environment: the case of Turkish commercial banks

This paper analyses the efficiency performance of the Turkish banking sector between 1988 and 1999, a period characterized by increasing macroeconomic instability. The technical and scale efficiencies of Turkish commercial banks are measured with the use of nonparametric Data Envelopment Analysis. The empirical results suggest that over the sample period both pure technical and scale efficiency measures show a great variation and the sector did not achieve sustained efficiency gains. It is also reported that the sector suffers mainly from scale inefficiency and scale inefficiency, in turn, is due to decreasing returns to scale. There are also reported differences in the efficiency performance of commercial banks with different ownership status. In addition, the relationships between profitability, asset quality, size and the two definitions of efficiency are considered. Efficient banks are more profitable, and pure technical efficiency and scale inefficiency are positively related to size. The trend in the performance levels over the period suggests that macroeconomic conditions had a profound influence on the efficiency measures.     

Technical Efficiency in China’s Iron and Steel Industry: Evidence from the new census data

A stochastic frontier production function is estimated using data from the 1995 industrial census to measure the technical efficiency of China's large and medium-sized iron and steel enterprises. The technical efficiency estimates are examined and compared for different enterprise groups distinguished by their ownership, size, capital vintage and location. The sources of diverse performance of China's iron and steel enterprises are identified and discussed with an emphasis on policy implications.     

Efficiency, Bond of Association and Exit Patterns in Credit Unions: Australian Evidence

Data envelopment analysis is used in this study to provide measures of the efficiency of individual credit unions in the Australian state of Victoria in the period 1992–5. The resulting measures are consistent with those reported in comparable studies. There is no evidence that over the period of the study, the 'average' credit union moved closer to the efficient frontier. Efficiency measures are analysed according to the bond of association and the results are consistent with the proposition that a tighter bond will tend to reduce operating costs. In the period of the study there were a large number of exits by merger, including exits by small credit unions with high efficiency measures. Possible explanations in terms of the expected benefits to the members of acquiring and exiting credit unions are suggested and evaluated.     

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.     

剥离环境因素的中国高技术产业创新效率综合测度研究

由于未剔除环境因素和随机误差的影响,运用传统数据包络分析（DEA）和随机前沿分析（SFA）对高技术产业创新效率进行研究,容易引起评价结果误差。采用二者相结合的三阶段DEA模型对高技术产业创新效率及其影响因素进行测度与分析,能够保证评价结果的有效性。研究结果显示：规模效率不足是限制我国高技术产业创新效率提升的关键因素;另外,市场开放度能够显著正向促进高技术产业创新效率提升,而政府资助、地区经济发展和地区竞争不利于创新效率提升。最后,对投入要素与技术效率进行聚类分析,将我国内地28个省市划分为4种创新类型,并〖JP〗提出提升高技术产业创新效率的政策建议。     

Efficiency in the factoring industry

The efficiency and productivity in the Italian factoring industry between 1993 and 1997 is investigated using DEA. The factoring industry is an important part of many financial systems and it has established itself as a major source of finance and credit management for a growing number of companies. However, as far as the authors are aware no studies have applied frontier methodologies to examine the efficiency and productivity of this industry. This paper focuses on the Italian market, the second largest in the world after the UK. The results suggest that there are substantial cost savings to be had in the Italian factoring industry: the mean cost inefficiency in the Italian factoring industry over the period 1993–1997 ranged between 14% and 22%. These inefficiencies are mainly generated by allocative rather than technical inefficiencies. Scale and technical inefficiencies seem to be similar in magnitude and the supposed importance of the latter typically found in the banking efficiency literature, are not observed in Italian factoring. Firm size does not appear to be related to technical, allocative and economic efficiency and the hypothesis that ownership structure influences factoring firm efficiency could not be rejected. In order to analyse efficiency change over time the Malmquist index is used. Total factor productivity was decomposed into technical change and efficiency change and the latter was further divided into pure efficiency and scale efficiency change. Productivity changes were slight over the period 1993–1996, while a substantial increase in productivity occurred between 1996 and 1997: the latter appears to be the result of a large improvement in the technology and a positive scale efficiency change, however, this was slowed down by a negative pure efficiency change.     

规模化养殖对我国肉鸡生产效率的影响——基于随机前沿生产函数的实证分析

采用随机前沿方法,利用2004—2010年我国24个省份的肉鸡生产数据,实证分析了规模化养殖对我国肉鸡生产效率的影响,并对不同养殖规模的肉鸡生产效率进行了测度和比较。结果显示:规模化养殖很大程度上提高了我国肉鸡生产效率,中规模养殖使肉鸡生产效率提高了16.89%,大规模养殖使肉鸡生产效率提高了57.62%;我国肉鸡生产效率的地区差异较大,且南方地区不同养殖规模的肉鸡生产效率存在显著差异,而北方地区的这种差异较小;标准化规模养殖程度不高是南方地区的肉鸡生产效率总体偏低且不同养殖规模的肉鸡生产效率存在较大差异的主要原因。