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.     

Technical Efficiency in Australian Textile and Clothing Firms: Evidence From the Business Longitudinal Survey

This paper estimates technical efficiency of Australian textile and clothing firms based on the data obtained from the Business Longitudinal Survey (BLS) conducted by the Australian Bureau of Statistics (ABS). Using a Cobb Douglas stochastic production frontier the paper examines firm level technical efficiency in the time varying inefficiency effect model with technical inefficiency effects assumed as an independently distributed truncated normal variable. Estimates of the production frontier revealed significant but small elasticities of labour and capital for textile and clothing firms, respectively, and a negative (but insignificant) Hicks neutral technical change for both. Estimated coefficients of the explanatory variables for inefficiency effects indicated that technical efficiency varied significantly according to firms' age, size, capital intensity, proportion of non-production to total workers and type of legal status. Predicted firm specific efficiency varied from 16 per cent to 95 per cent and mean efficiency ranged between 30 to 70 per cent. In view of these results policies have been suggested to improve technical efficiency of the firms as well as productivity growth of the sub sectors.     

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.     

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.     

Total factor productivity differences: Appropriate technology vs. efficiency

Recent development and growth accounting studies have established that total factor productivity is an important source of cross-country differences in income levels and growth rates. This paper makes two contributions. First, it examines the sensitivity of the development accounting results to the Cobb-Douglas specification of the production function. Second, within the Cobb-Douglas framework, it weighs evidence of the two alternative explanations of total factor productivity differences: the inefficiency view and the appropriate technology view. To accomplish these tasks, the world production frontier is estimated using a nonparametric deterministic approach known as data envelopment analysis. I find that the fraction of income differences explained by physical and human capital increases from 32% to 55% when departing from the Cobb-Douglas assumption. There is also evidence consistent with the appropriate technology view; countries with an inadequate mix of inputs are unable to access the most productive technologies. Moreover, the world technology frontier appears to be shifting out faster at input combinations close to that of the R&D leader. However, inefficiency appears to be the main explanation for low incomes throughout the world; it explains 43% of output variation in 1995, and its importance has increased over time.     

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.     

A model for technical inefficiency effects in a stochastic frontier production function for panel data

A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inefficiency effects are assumed to be a function of firm-specific variables and time. The inefficiency effects are assumed to be independently distributed as truncations of normal distributions with constant variance, but with means which are a linear function of observable variables. This panel data model is an extension of recently proposed models for inefficiency effects in stochastic frontiers for cross-sectional data. An empirical application of the model is obtained using up to ten years of data on paddy farmers from an Indian village. The null hypotheses, that the inefficiency effects are not stochastic or do not depend on the farmer-specific variables and time of observation, are rejected for these data.     

INFRASTRUCTURE AND PRODUCTION EFFICIENCY: AN ANALYSIS ON THE KOREAN MANUFACTURING INDUSTRY

This study estimates an aggregate production function of manufacturing industry using panel data of 11 Korean regions covering 1977–1992. While the previous studies regard infrastructure as a direct input for production, the present study proposes that infrastructure has an effect on actual output by enhancing technical efficiency thereby, reducing the gap between maximum potential output and actual output. To investigate the relationship between infrastructure and technical efficiency, a stochastic frontier approach is applied to Korean manufacturing industry. Confirming the presence of substantial technical inefficiency in production, this study shows that an increase in infrastructure reduces the technical inefficiency level. The study also finds that, contrary to expectation, the industrialized regions are less efficient than the less industrialized ones. (JEL O20, H54, C23)     

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.     

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.     

The effect of risk-based capital requirements on profit efficiency in banking

The purpose of this paper is twofold: to show how to measure profit efficiency in banking using a newly developed technique, and to use that technique to determine the effect of risk-based capital requirements on the profit performance of US banks. The measure of profit efficiency used captures deviations from profit maximization arising from technical inefficiency, caused by a lack of managerial oversight and allocative inefficiency, which is caused by managers choosing a nonoptimal mix of inputs and outputs. A leverage ratio constraint and a risk-weighted capital ratio constraint are explicitly included in the model, which allows identification of the effect on profits of those constraints. The techniques are applied to random samples of US banks for 1990, 1992, and 1994. The results indicate that allocative inefficiency is a larger source of profit loss than technical inefficiency and that the risk-based capital standards have a significant effect on bank allocative efficiency.     

Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors

The purpose of this article is to construct a dynamic stochastic production frontier incorporating the sluggish adjustment of inputs, to measure the speed of adjustment of output, and to compare the technical efficiency estimates from this dynamic model to those from a static model. By assuming instantaneous adjustment of all inputs, a static model may underestimate technical efficiency of a production unit in the short-run. However, in this article I show that under the assumption of similar adjustment speed for all inputs, a linear partial adjustment scheme for output characterizes the dynamic production frontier. The dynamic frontier with time-invariant technical efficiency is estimated using the system GMM (generalized method of moments) estimator. Applying the model and estimation method on a panel data set spanning 9?years of data on private manufacturing establishments in Egypt, I find that (1) the speed of adjustment of output is significantly lower than unity, (2) the static model underestimates technical efficiency by 4.5 percentage points on average, and (3) the ranking of production units based on their technical efficiency measures changes when the lagged adjustment process of inputs is taken into account.     

A ‘technically level playing-field’ profit efficiency analysis of enforced competition between publicly funded institutions

The study demonstrates how recent advances in the data envelopment analysis (DEA) of profit efficiency, and in combining DEA and stochastic frontier analysis (SFA) to measure producer performance, can be used to obtain a ‘technically level playing-field’ profit efficiency performance measure. A three-stage analysis is used to provide an empirical investigation of public-sector universities facing regulatory pressures to attain both profit efficiency and output quality. Stage one employs directional distance function analysis to decompose DEA profit efficiency measures into technical and allocative components. As these performance measures incorporate the impacts of managerial inefficiency, the operating environment and luck (statistical noise), stage two applies SFA to total (radial and non-radial) slacks to obtain a degree of disentanglement from the latter two impacts. The stage-two results are used to define a common environment and common luck scenario, thus permitting university producers’ inputs to be adjusted so as to reflect operation within this more level playing-field scenario. Stage three recomputes the first-stage DEA for this scenario, to yield an (input-focused) ‘technically level playing-field’ measure of profit efficiency that unifies the regulatory financial audit and output-quality indicators in a single, best-practice-benchmarked, performance measure.     

Technical efficiency of small scale farmers: An application of the stochastic frontier production function to rural and urban farmers in Ondo State,Nigeria

Abstract

The main objective of this study was to estimate empirically the technical efficiency of rural and urban small-scale farmers in Ondo State, Nigeria, using the stochastic frontier production function. With the rapid urbanization being currently experienced in Nigeria, the socio-economic and the farming environment in both the rural and urban centres are undergoing transformation. This study involved collection and analysis of data on 200 food crop farmers from rural and urban centres in Ondo state of Nigeria. The results of analysis show that there are wide differences in the socio-economic and production inputs of the farmers from rural and urban centres. While farmers from rural centres have relatively larger farms, the urban farmers have better access to production inputs, especially, fertilizer. However, rural farmers, with a mean technical efficiency of 0.66 are found to be more technically efficient than urban farmers, who have a mean technical efficiency of 0.57. There is a wide confidence interval around the point estimates of the technical efficiency scores. Level of education, farming experience and land are found to have negative effects on technical inefficiency of both rural and urban farms. The marginal effect of inefficiency variables is, however, found to be highest for education among both rural and urban farms.     

Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis

This paper provides a theoretical explanation for the sensitivity of technical efficiency measures to the choice of functional specification in stochastic production frontier models. It is shown that inappropriate functional specifications translate into a misspecification in the conditional mean of the stochastic frontier regression model. This misspecification, in turn, results in estimates of technical efficiency, confidence intervals and production elasticities being biased, even asymptotically. Monte-Carlo simulations reveal that the severity of the bias depends on the functional specification and the percentage contribution of the variance of technical inefficiency to the total variance of the composed errors.     

Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance

The key feature when modelling joint production of intended outputs and unintended residuals is that the latter stem from the use of material inputs. A multi-equation model building on the factorially determined multi-output model of classical production theory satisfies the materials balance that tells us that the mass contained in inputs cannot disappear, but must turn up in the desirable outputs or end up as residuals. In this model, potentially complex technical relationships are simplified to express each of the intended outputs and the residuals as functions of the same set of inputs. Serious problems with the single-equation models most often found in the literature are demonstrated. Abatement activity in the form of end of pipe is added, and an optimal planning solution is derived using the concept of an environmental damage function for the impact of discharge of residuals into the natural environment. It is shown that the traditional environmental policy instruments, like direct regulation restricting the amount of undesirable residuals discharged to the environment, a Pigou tax on pollutants, and cap and trade, all function well. Extending the multi-equation model to allow for inefficiency, three efficiency measures are introduced: desirable output efficiency, residuals efficiency, and abatement efficiency. It is conjectured that these measures can be estimated independently using the DEA model.     

中国肉羊生产技术效率的影响因素及其区域差异分析——基于随机前沿分析方法

运用随机前沿分析方法,测算了2003—2010年全国26个省(自治区、直辖市)肉羊生产的技术效率,并分析了肉羊生产四大优势产区和农牧区的肉羊生产技术效率的差别。研究结果显示:目前中国肉羊生产明显存在技术效率损失,其中良种化、规模化和人力资本对肉羊生产技术效率具有显著的正向影响;不同区域的肉羊生产技术效率存在明显差异,其中牧区的技术效率水平高于农区,中东部农牧交错带优势区和中原优势区的技术效率水平高于全国平均水平。     

The impact of trade openness on technical efficiency in the agricultural sector of the European Union

The aim of this study is to analyse the impact of trade openness on technical efficiency of the European Union’s (EU) agricultural sector. There are no systematic theories linking trade policy to technical efficiency; hence, the relation between trade liberalization and technical efficiency is fundamentally ambiguous. Stochastic frontier analysis is used to model the relationship between EU’s production resources and agricultural output, as well as the importance of trade openness on technical efficiency of a country. The data for 16 of the 28 EU members were available for the period 1980–2007 including land, capital, fertilizer, labour, agricultural GDP, foreign direct investments (FDI), exports and import data. Results indicate that trade openness has an immediate, negative impact on efficiency in the EU agricultural sector. Over time, however, trade openness does increase efficiency. The FDI outflows increase efficiency. This suggests that an initial reduction in capital supply forces EU nations to utilize other factor inputs more efficiently. However, there is the unexamined potential that over time the depletion of capital results in a decrease in efficiency. Finally, formerly communist member-countries of the EU are found to have the lowest technical efficiency scores whereas Southern European nations have the highest 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.     

Estimating Regional Technical Efficiency and Its Determinants:Evidence from China's Provincial Panel Data

This paper applies a stochastic translog production function to examine the underlying causes of technical inefficiency for 28 provinces in the Chinese mainland over the period 1970-2011.We find that inefficiency was present in production and several relevant explanatory variables contributed to it.Specifically,we find that the provinces with higher level of human capital,higher engagement in international trade,a further relaxation of the household registration(hukou)system and a smaller government size tended to lie closer to the national frontier.In addition,public infrastructure was not productive and we find no evidence to support the general view that state-owned enterprises(SOEs)were operating relatively inefficiently when compared to non-SOEs.