does exchange rate variability depress trade flows evidence from error correction models this paper examines the impact of exchange rate volatility on the trade flows of the g 7 countries in the context of a multivariate error correction model the error correction models do not show any sign of parameter instability the results indicate that the exchange rate volatility has a significant negative impact on the volume of exports in each of the g 7 countries assuming market participants are risk averse these results imply that exchange rate uncertainty causes them to reduce their activities change prices or shift sources of demand and supply in order to minimize their exposure to the effects of exchange rate volatility this in turn can change the distribution of output across many sectors in these countries it is quite possible that the surprisingly weak relationship between trade flows and exchange rate volatility reported in several previous studies are due to insufficient attention to the stochastic properties of the relevant time series copyright 1993 by mit press

measuring returns to scale in dea models when the firm is regulated in the standard framework of data envelopment analysis dea models the returns to scale are fully characterized using the multiplier on the convexity constraint of inefficient decision making units dmu using the projection of the input output vector on the frontier in this note we investigate how the returns to scale measurements in dea models are affected by the presence of regulatory constraints these additional constraints change the role played by the convexity constraint in order to avoid biased estimation of the returns to scale we show that the interaction between the regulatory and the convexity constraints has to be taken into account

financial performance analysis of ontario canada credit unions an application of dea in the regulatory environment abstract models are developed to detect weaknesses in credit unions in ontario canada so that potential financial failures can be predicted four data envelopment analysis dea models are presented and compared with the equity to asset ratio and with the government regulator s extensively modified z score model the equity asset ratio is shown to provide as good a prediction of failure as any of the other models and is not improved upon by the much more complex z score model the best dea model provides results comparable to the equity asset ratio when a slack adjusted efficiency score is used to measure efficiency particularly for credit unions with larger asset sizes however dea also provides indications of where opportunities lie for improvements by weak units by providing specific information relevant to managers hence for each credit union comparison is made with a peer group of efficient entities that the inefficient institution s management can emulate to improve their performance

a nonparametric cost approach to scale efficiency starting with farrell fieldhouse 1962 a host of notiparametric models have been developed for calculation of scale efficiency a common property of these models is that they are specified in terms of input output data duality theory has taught us that technological characteristics may be analyzed from either the primal or the dual cost side the purpose of this paper is to introduce a nonparametric dual method of calculating scale efficiency

multinational operation ownership and efficiency differences in the international oil industry abstract although state involvement in market systems often leads to inefficiency this influence in the oil industry is not dwindling due to strong growth of some state oil companies based on this background there are concerns about how state firms can continue to stay relevant in the international oil industry by offsetting inefficiencies due to state control this study assesses the effects of multinational operations on the performance of oil firms this is achieved by comparing productive and scale efficiencies of state and private oil companies as well as state multinationals and private multinationals a dataset of 50 firms each year from 2001 to 2010 reveals that although multinational operation is important in reducing productive inefficiencies of state firms it does not mitigate scale inefficiencies of state owned firms state firms should therefore make multinational operations a key policy direction since this will provide a transformative agenda towards equally competing with their private counterparts however better efforts need to be paid in reducing scale inefficiencies that are pervasive among state owned oil firms providing better controls on firm size will provide better drive towards future efficient production levels

investigating the cost performance of uk credit unions using radial and non radial efficiency measures abstract this paper examines the relative efficiency of uk credit unions radial and non radial measures of input cost efficiency plus associated scale efficiency measures are computed for a selection of input output specifications both measures highlighted that uk credit unions have considerable scope for efficiency gains it was mooted that the documented high levels of inefficiency may be indicative of the fact that credit unions based on clearly defined and non overlapping common bonds are not in competition with each other for market share credit unions were also highlighted as suffering from a considerable degree of scale inefficiency with the majority of scale inefficient credit unions subject to decreasing returns to scale the latter aspect highlights that the uk government s goal of larger credit unions must be accompanied by greater regulatory freedom if inefficiency is to be avoided one of the advantages of computing non radial measures is that an insight into potential over or under expenditure on specific inputs can be obtained through a comparison of the non radial measure of efficiency with the associated radial measure two interesting findings emerged the first that uk credit unions over spend on dividend payments and the second that they under spend on labour costs

nonparametric measures of scale economies and capacity utilization an application to u s manufacturing abstract an economic measure of scale efficiency is the ratio of the minimum average cost to the average cost at the actual output level of a firm it is easily measured by the ratio of the total cost of this output under the constant and variable returns to scale assumptions this procedure does not identify the output level where the average cost reaches a minimum this paper proposes a nonparametric method of measuring this output level using dea the relation between this efficient production scale the short run physical capacity output and the most productive scale size mpss is also discussed an empirical application using state level data from u s manufacturing is used to illustrate the procedure the dea findings are further analyzed using a smoothed bootstrap procedure

estimation of returns to scale using data envelopment analysis a comment banker 1984 introduced the idea that the sum of the intensity variables in the dea activity analysis model can be used to identify returns to scale a counterexample in chang and guh 1991 shows that banker s method may fail this prompted banker and thrall 1992 to develop an alternative approach to estimate scale efficiency using dea seemingly unaware of the work by byrnes fare and grosskopf 1984 fare grosskopf and lovell 1985 1994 and fare and grosskopf 1985 etc on the same topic their new approach is very similar to the methodology originated in these references the purpose of this comment is to make our method known and to contrast it to the banker and thrall 1992 approach

assessing the impact of the exchange rate and its volatility on canadian pork and live swine exports to the united states and japan a model of a representative canadian pork exporter is developed to examine the impacts of the exchange rate and its volatility on pork and live swine exports the pork export supply equation is expressed as a function of the expected level of real exchange rate and a time varying variance of real exchange rate an ar p model is used to represent the expected real exchange rate and a garch p q model is used to generate the time varying variance the same model is used to examine the sensitivity of pork exports to japan from canada the united states and denmark the parameters of all pork and live swine export equations have theoretically consistent signs and many are significant that is the domestic price in the exporting country has a negative effect on exports because it is a major input price in the exporter s cost function while the price in the market of destination has a positive effect the level of the exchange rate has a positive impact on pork exports while the volatility of the exchange rate has a negative impact most of the volatility parameters are not significant

efficiency analysis for exogenously fixed inputs and outputs we evaluate by means of mathematical programming formulations the relative technical and scale efficiencies of decision making units dmus when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of dmu managers this approach further develops the work on efficiency evaluation and on estimation of efficient production frontiers known as data envelopment analysis dea we also employ the model to provide efficient input and output targets for dmu managers in a way that specifically accounts for the fixed nature of some of the inputs or outputs we illustrate the approach using real data for a network of fast food restaurants

one sided elasticities and technical efficiency in multi output production a theoretical framework one of the concepts that have sparked considerable interest in the theory of production and efficiency is that of returns to scale rts economics researchers typically define rts using the notion of elasticity considerable research activity on rts has also been observed by management science researchers who utilize the methodology of data envelopment analysis dea to gain insights on rts in this paper we present a theoretical framework that integrates existing economics and management science literature on rts and provides a solid foundation for research work in this area our framework defines discusses and proposes an approach to measure input and output oriented elasticities and one sided rts we demonstrate how the work done in dea is a special case of our framework and discuss the conditions under which the resulting two left hand and the two right hand elasticities can be equal future research directions are also discussed

some models for estimating technical and scale inefficiencies in data envelopment analysis in management contexts mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best in this capacity mathematical programming serves as a planning aid to management data envelopment analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments however they may have been planned or executed mathematical programming is thereby extended for use as a tool for control and evaluation of past accomplishments as well as a tool to aid in planning future activities the ccr ratio form introduced by charnes cooper and rhodes as part of their data envelopment analysis approach comprehends both technical and scale inefficiencies via the optimal value of the ratio form as obtained directly from the data without requiring a priori specification of weights and or explicit delineation of assumed functional forms of relations between inputs and outputs a separation into technical and scale efficiencies is accomplished by the methods developed in this paper without altering the latter conditions for use of dea directly on observational data technical inefficiencies are identified with failures to achieve best possible output levels and or usage of excessive amounts of inputs methods for identifying and correcting the magnitudes of these inefficiencies as supplied in prior work are illustrated in the present paper a new separate variable is introduced which makes it possible to determine whether operations were conducted in regions of increasing constant or decreasing returns to scale in multiple input and multiple output situations the results are discussed and related not only to classical single output economics but also to more modern versions of economics which are identified with contestable market theories

the structure of technical efficiency it is common practice to decompose measures of efficiency into component measures of technical and allocative efficiency in this paper we show how and why to decompose a general measure of technical efficiency into component measures of purely technical efficiency congestion and scale efficiency and we investigate the properties of each measure we do so for a multiple output technology which satisfies a weak axiom system that does not include either constant returns to scale or strong input disposability

productivity growth technical progress and efficiency in their comment subhash c ray and evangelia desli 1997 hereafter rd point out that the specification of the decomposition of the malmquist productivity index used by fare et al 1994 hereafter fgnz is not unique and propose and compute an alternative specification of that decomposition we will discuss additional decompositions at the end of this note but proceed here by comparing the rd decomposition with fgnz based on both conceptual and computational grounds rd provide a discussion of the overall malmquist productivity index including the important issue of when this index is equivalent to the traditional notion of total factor productivity tfp namely under the condition that the reference technology be consistent with constant returns to scale crs as they point out this will yield a measure of tfp even if the true underlying technology is not crs for example both rd and fgnz use the crs reference technology to compute overall malmquist productivity one of the key issues raised is the role of the underlying scale properties of the benchmark technologies used to define and compute both productivity and its components in particular two reference technologies are employed in both rd and fgnz what we refer to as crs and variable returns to scale vrs technologies by construction these technologies are nested the crs technology contains the vrs technology as in figure 1 in rd this nestedness provides the logical basis for our decomposition at a very intuitive level we would argue that these two benchmarks can be used to provide bounds on the underlying true but unknown technology 2 intuitively we see the vrs technology providing a type of convex inner approximation whereas the crs technology provides a type of convex outer approximation thus these two technologies provide alternative benchmarks they do not require that the data satisfy either crs or vrs another possible intuitive interpretation is that the crs captures a perhaps hypothetical long run and the vrs approximates the short run as a reference technology the crs technology has some very useful features for example it captures the notion of maximal

further discussion on linear production functions and dea abstract the purpose of the current paper is to clarify the misunderstanding in using the constant returns to scale crs model in data envelopment analysis dea to estimate returns to scale rts classification by illustrating the following two different assumptions a all decision making units dmus are assumed to be compared to a crs frontier in the ccr model i e all dmus are assumed to be capable of operating under crs and b all dmus exhibit crs several incorrect points about rts estimation raised by chang k p and guh y y 1991 european journal of operational research 52 215 223 and chang k p 1997 european journal of operational research 97 597 599 are examined it is shown that the assumption a does not mean that the rts classification cannot be estimated the crs frontier assumption cannot change the rts nature of each dmu since the ccr model mixes a technical efficiency and a scale efficiency it is possible and meaningful to use the ccr results to determine the rts classification finally the infeasibility of chang and guh s 1991 treatment of non archimedean infinitesimal is discussed

board structure and firm technical efficiency evidence from canadian state owned enterprises abstract the objective of the study is to analyze the board performance relationship for a group of 14 canadian soes this context is unique because soes do not have major control devices other than the board as the interaction effect if any between the board and other corporate governance structures is expected to be low we do not have to fully control for the potential impact of different control devices or to disentangle them completely from influencing board composition the performance is also measured using data envelopment analysis dea a linear programming method used for the first time in this research area as such this study contributes to the operational research literature while applying dea method to untraditional fields of research the results from the multivariate analysis suggest that board size and board independence are positively related to firm technical efficiency only when soes are exposed to market discipline in other words product market competition is a precondition for boards to be effective

social rents interest rates and growth abstract we present a simple olg model with a convex technology in which physical capital exhibits a productive externality and workers receive part of the social rents generated by that externality this setup allows for sustained growth without incurring poverty traps moreover every equilibrium path displays constant interest rates as suggested by some empirical evidence

the effects of exchange rate volatility on exports some new estimates investigations of the impact of exchange rate volatility on exports have not allowed for the integrated non stationary of the variables employed in estimation the results reported in this note are suggestive that in the context of an error correction framework real exchange rate volatility has a significant impact on exports

marginal values and returns to scale for nonparametric production frontiers we present a unifying linear programming approach to the calculation of various directional derivatives for a very large class of production frontiers of data envelopment analysis dea special cases of this include different marginal rates the scale elasticity and a spectrum of partial and mixed elasticity measures our development applies to any polyhedral production technology including to name a few the conventional variable and constant returns to scale dea technologies their extensions with weight restrictions technologies with weakly disposable undesirable outputs and network dea models furthermore our development provides a general method for characterization of returns to scale rts in any polyhedral technology the new approach effectively removes the need to develop bespoke models for the rts characterization and calculation of marginal rates and elasticity measures for each particular technology

nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to dutch schools in this paper we develop a malmquist productivity index for public sector production characterized by the influence of environmental variables we extend johnson and ruggiero 2011 to the more general case of variable returns to scale to further decompose the malmquist productivity index into technical efficiency scale and environmental change we apply our model to analyze productivity of dutch schools using 2002 2007 data the results indicate that the environment influences the productivity index as well as the technical efficiency scale and environmental change components we see that schools with a moderate classification of environment have the highest productivity numbers in line with expectations schools with the worst environment also perform worse and would perform better with an improved environment

property rights in a fishery regulatory change and firm performance a new method is introduced and applied to the british columbia halibut fishery to analyze changes in productivity of firms harvesting a natural capital stock the index number technique decomposes the contributions of output prices variable input prices fixed inputs and productivity to firm profits adjusted for changes in the natural capital stock an application of the method is given using micro level data from a common pool resource the indexes provide a ready made comparison of all firms to the most profitable firm per unit of resource stock benchmarking with the decompositions also allows firms and regulators to improve overall industry performance by allowing them to analyze what components are contributing most to relative economic profits

average cost efficiency and optimal scale sizes in non parametric analysis under fairly general assumptions requiring neither a differentiable frontier nor a constant returns to scale technology this paper introduces a new definition of an optimal scale size based on the minimization of unit costs the corresponding measure average cost efficiency combines scale and allocative efficiency and generalizes the measurement of scale economies in efficiency analysis while providing a performance criterion which is stricter than both cost efficiency and scale efficiency measurement the average cost efficiency is not reliant upon the uniformity of the firms input price vector and we supply procedures to compute it in both convex and non convex production technologies empirical illustration of the theoretical results is given with reference to large sets of production units

energy and ghg emission efficiency in the chilean manufacturing industry sectoral and regional analysis by dea and malmquist indexes abstract global warming produced mainly by the emission of greenhouse gases is currently a worldwide concern in the last few decades since the 1950s many of the changes observed in the world climate have been meaningful this paper presents an analysis of energy efficiency and of greenhouse gas emissions in the chilean manufacturing industry by region and sector taking into consideration time sequences data envelopment analysis dea models are used for the analysis three ways to handle undesirable outputs are compared the source of inefficiency in each decision making unit dmu is calculated using scale efficiency and the evolution over time is analyzed using the malmquist index the results indicate that the industries located in the chilean regions of coquimbo la araucania and aysen were the most efficient while the industries in the regions of tarapaca antofagasta and biobio were less efficient the most efficient industrial sectors were those involving communications equipment base metals and clothing the least efficient were those concerned with food and beverages textiles and nonmetallic minerals due to the treatment of the undesirable outputs differences were found in the efficiency indexes obtained by the three models this finding suggests using a model better adapted to the characteristics of the outputs in question and the viability of improving industrial practices

dea duality on returns to scale rts in production and cost analyses an occurrence of multiple solutions and differences between production based and cost based rts estimates this article discusses the concept of rts returns to scale in the framework of dea data envelopment analysis production and cost analyses focusing on an occurrence of multiple solutions and how to deal with such a difficulty dual relationships between production based and cost based rts estimates are also theoretically discussed in this study

estimating most productive scale size using data envelopment analysis abstract the relation between the most productive scale size mpss for paparticular input and output mixes and returns to scale for multiple inputs multiple outputs situations is explicitly developed this relation is then employed to extend the applications of data envelopment analysis dea introduced by charnes cooper and rhodes ccr to the estimation of most productive scale sizes for convex production possibility sets it is then shown that in addition to productive inefficiencies at the actual scale size the ccr efficiency measure also reflects any inefficiencies due to divergence from the most productive scale size two illustrations of the practical applications of these results to the estimation of most productive scale sizes and returns to scale for hospitals and stem electric generation plants are also provided emphasize the advantage of this method in examining specific segments of the efficient production surface

data envelopment analysis on a relaxed set of assumptions data envelopment analysis is a procedure for evaluation of the relative efficiency of units in a production system dea involves construction of composite units as convex combinations of other units inputs and outputs under various conditions related to returns to scale the assumption of convexity is inconsistent with increasing returns to scale and not implied by constant or non increasing returns to scale an alternative dea approach which does not invoke the assumption of a convex production possibility set is developed in this paper it is implemented in two stages stage one is concerned with the spanning of isoquants and stage two with an evaluation of the position of an observed input output combination compared to the isoquants both stages involve linear programming techniques solely

static efficiency decompositions and capacity utilisation integrating economic and technical capacity notions starting from existing static decompositions of overall economic efficiency on nonparametric production and cost frontiers this article proposes more comprehensive decompositions including several cost based notions of capacity utilization furthermore in case prices are lacking we develop additional decompositions of overall technical efficiency integrating a technical concept of capacity utilization these new efficiency decompositions provide a link between short and long run economic analysis and in empirical work avoid conflating inefficiency and differences in capacity utilization an empirical analysis using a monthly panel of chilean hydro electric power plants illustrates the potential of these decomposition proposals

best practice technology in an adverse environment the case of indian sugar 1981 1986 abstract empirical production frontiers are sometimes observed to shift downward over certain periods of time associating higher quantities of input with lower quantities of output this phenomenon is quite different than an increase in observed inefficiency relative to best practice we find such a shift for the indian vacuum pan sugar industry and identify its cause as environmental adversity reducing the performance of best practice technology specifically agro climatic difficulties exacerbated by regulation induced rigidities provide the adverse environment the case serves as a context for a re examination of the concepts of best practice technology and technological regress

a note on a discussion of testing dmus returns to scale by zhu and shen european journal of operational research 81 1995 590 596

finite lifetimes and growth abstract in this paper we study the long run growth property of overlapping generations models it is shown that in one sector models with convex technologies the asymptotic growth rate must be zero this results because the young do not have sufficient income to purchase a large capital stock thus a policy of income redistribution to the young can generate growth even if financed by income taxation additionaly it is shown that two sector models and one sector models with nonconvex technologies are consistent with growth

analyzing components of productivity growth using the bennet lowe indicator an application to welsh sheep farms this article introduces the bennet lowe total factor productivity tfp indicator the proposed measure is difference based additively complete and transitive we also develop a general nonparametric framework to exhaustively decompose all bennet type tfp indicators including the one introduced here into technical change technical efficiency change scale efficiency change and mix efficiency change this decomposition provides a powerful tool for policy makers to guide financial decisions on research and development extension subsidies and price support the empirical application focuses on the welsh sheep sector for the years 2001 2014 the results show that in this 14 year period welsh sheep farms increased their tfp by 30 28 on average 2 33 p a however the exhaustive decomposition shows that tfp growth is not distributed equally across all farms with an increasing divergence between front runners and laggards the negative values of scale efficiency change and mix efficiency change cast doubt on the current subsidy policies

on alternative optimal solutions in the estimation of returns to scale in dea zhu and shen european journal of operational research 81 1995 590 show that alternative optimal solutions in the estimation of returns to scale rts are caused by a particular linear dependency among a set of extreme efficient dmus when one employs the concept of most productive scale size european journal of operational research 17 1984 35 in data envelopment analysis dea this paper demonstrates that the presence of weakly efficient dmus may also lead to alternative optima and extends the results of zhu and shen to the entire frontier necessary and sufficient conditions for the presence of multiple optimal solutions for constant returns to scale crs dmus are established

existence uniqueness and stability of equilibrium in an overlapping generations model with productive capital abstract this paper analyzes the existence uniqueness and stability of a steady state equilibrium in an overlapping generations model with productive capital it is shown that for any feasible set of well behaved preferences there exists a production function that satisfies the inada conditions under which the economy experiences global contraction and the steady state equilibrium is characterized by the absence of production and consumption the study establishes a strengthened inada condition which is necessary to preclude global contraction and sufficient conditions for the existence of a unique and globally stable non trivial steady state equilibrium

cost effectiveness measures on convex and nonconvex technologies abstract camanho and dyson 2005 extended shephard s 1974 revenue indirect cost efficiency approach to a cost effectiveness framework which helps to assess the ability of a firm to achieve the current revenue expressed in the firm s own prices and quantities at minimum cost the degree of cost effectiveness is quantified as the ratio of the minimum cost to the observed cost of the evaluated firm where the minimum cost is computed by simultaneously adjusting the output levels at the current revenue in this paper we develop two cost effectiveness approaches based on convex data envelopment analysis and nonconvex free disposable hull technologies the objectives of this paper are threefold firstly we develop a convex cost effectiveness cce measure which is equivalent to the camanho dyson cce measure under the constant returns to scale assumption secondly we introduce three nonconvex cost effectiveness ncce measures which are shown to be equivalent with respect to each returns to scale nonconvex technology finally we apply our framework to a real data

dea based auctions we discuss the design of a multi dimensional procurement mechanism that combines data envelopment analysis dea and auction theory the mechanism selects an agent to provide a project characterized by multiple attributes the optimal configuration of the multiple attributes is settled endogenously by trading off the costs to the provider with the benefits to the acquirer this is done within a context of asymmetric information and strategic behavior as well as possibly correlated costs the mechanism makes it individually rational and incentive compatible to participate and reveal costs and the outcome is socially optimal allocatively efficient

price risk in supply equations an application of garch time series models to the u s broiler market that risk considerations figure prominently into agents decisions is now widely recognized by both theoretical and applied economists for example much research has focused on extending neoclassical production theory to include agents that maximize expected utility of returns under price and or output uncertainty 37 4 25 35 12 31 concurrent with this theoretical research on risk has been a growing literature on the empirical effects of risk on economic decisions examples include the studies on the role of risk in aggregate agricultural production and

congestion and returns to scale in data envelopment analysis congestion indicates an economic state where inputs are overly invested evidence of congestion occurs whenever reducing some inputs can increase outputs return to scale is another related important economic implication of dea efficiencies in this research we discuss together the problems of congestion constant return to scale increasing return to scale and decreasing return to scale by output oriented dea models c2r model bc2 model fg model st model and a modified model we identify the necessary and sufficient conditions for the evidence of congestion constant increasing and decreasing returns to scale we show the exclusive relationships between the concepts of congestion and returns to scale numerical examples are provided for illustration

rent appropriation and sustained growth abstract this paper demonstrates that the introduction of imperfect competition into the labor market can solve the problem isolated by jones and manuelli journal of economic theory 1992 58 171 197 and boldrin journal of economic theory 1992 58 198 218 that in economies with convex technologies and finitely lived agents real wages may not grow fast enough for unbounded growth to be sustained i show that if wages are determined by a bargaining solution and if the bargaining power of the workforce is sufficiently high if they appropriate a sufficiently large proportion of rents then growth is unbounded moreover the growth path generated by such an economy may improve the welfare of all generations apart from the initial old

a nonparametric approach to expenditure constrained profit maximization a nonparametric approach to expenditure constrained profit maximization is developed a deterministic frontier profit function is constructed with and without expenditure constraints foregone profit is used as dual evidence for the existence of expenditure constraints individual evaluations on performance and expenditure constraints are produced empirical analysis is based on survey data for california rice farms seventeen of the eighty two surveyed farms experience profit loss as a result of expenditure constraints

construction of all dea efficient surfaces of the production possibility set under the generalized data envelopment analysis model abstract in this paper we study the structural properties of dea efficient surfaces of the production possibility set under the generalized data envelopment analysis gdea model introduced by yu wei and brockett 1996 the gdea model contains the following well known data envelopment analysis dea models as its special cases the ccr model by charnes cooper and rhodes 1978 the bcc model by banker charnes and cooper 1984 the fg model by fare and grosskopf 1985 and the st model by seiford and thrall 1990 the relationships among decision making units dmus can be found by solving the gdea model with predilection cone description using these relations to identify relative positions of the dmus on the dea efficient surface we devise an efficient algorithm for constructing all the dea efficient surfaces through further analysis we show properties of dea efficient surfaces under several important subclasses of dea models analytical expressions for the dea efficient surfaces are obtained which are useful in analyzing the structure of dea efficiencies and in strategic group classifications results from this paper suggest important applications in constructing pareto solutions or nondominated solutions and in analyzing structural properties of pareto solutions in multiobjective programming

economies of diversification in the banking industry abstract this paper defines a new measure economies of diversification to examine the cost effect of product line expansion this measure is a special case of expansion path subadditivity and contains economies of scope as a special case a nonparametric frontier technique which isolates the effects of inefficiency and scale is used to measure economies of diversification applied to a set of 468 u s depository institutions operating in 1984 we find slight diseconomies of diversification diseconomies of diversification and inefficiency due to the overutilization of resources are found to be more important determinants of bank costs than is the failure to operate at optimal scale

a scale elasticity measure for directional distance function and its dual theory and dea estimation abstract in this paper we focus on scale elasticity measure based on directional distance function for multi output multi input technologies explore its fundamental properties and show its equivalence with the input oriented and output oriented scale elasticity measures we also establish duality relationship between the scale elasticity measure based on the directional distance function with scale elasticity measure based on the profit function finally we discuss the estimation issues of the scale elasticity based on the directional distance function via the dea estimator

piecewise loglinear estimation of efficient production surfaces linear programming formulations for piecewise loglinear estimation of efficient production surfaces are derived from a set of basic properties postulated for the underlying production possibility sets unlike the piecewise linear model of banker charnes and cooper banker r d a charnes w w cooper 1984 models for the estimation of technical and scale inefficiencies in data envelopment analysis management sci 30 september 1078 1092 this approach permits the identification of increasing marginal products and estimation of the classical s shaped production functions methods are also provided for estimating technical inefficiencies and other production characteristics such as rates of substitution and transformation marginal products returns to scale and most productive scale sizes on the basis of observed production data the results of a simulation study are reported to illustrate the usefulness of this estimation method in empirical applications when there are a priori reasons to expect increasing marginal products in some regions of the production function a modified model is provided to extend this analysis to the situation of non competing outputs addressed by the bi extremal model of banker charnes cooper and schinnar banker r d a charnes w w cooper a schinnar 1981 a bi extremal principle for frontier estimation and efficiency evaluation management sci 27 december 1370 1382

slack adjusted dea for time series analysis performance measurement of japanese electric power generation industry in 1984 1993 abstract using a new slack adjusted data envelopment analysis sa dea model which explicitly incorporates an influence of slacks into its efficiency measurement this study discusses a use of various efficiencies and index measures for dea dynamic analysis an analytical formulation to determine the type of return to scale rts is proposed for the new dea model this paper mathematically discusses when multiple solutions occur on rts and how to deal with such a difficulty as an important case study this paper applies the proposed dea approach to examine the performance of japanese electric power generation companies from 1984 to 1993 two policy implications are suggested for guiding the japanese electric power industry

municipal solid waste recycling market and the european 2020 horizon strategy a regional efficiency analysis in spain abstract this paper focuses on the analysis of the efficiency of spanish regions in the development of the recycling market in their respective territories through the use of a novel data envelopment analysis method with multiple outputs the efficiency analysis takes into account the mandatory goals of reducing mixed collected municipal solid waste and the augmentation of selective collection of recyclable materials as set by the european union and the spanish legal framework this issue is highly relevant since neither of these two management goals may be achieved without the recycling market and its associated industry having been previously developed to a sufficient level results confirm that catalonia navarre and madrid function as benchmark regions to be emulated by the remaining inefficient regions the necessary regional investments and output projections to reach an efficient development of the recycling sector are also estimated additionally it is found that per capita income and population density significantly explain differences in regional efficiencies finally taking efficient regions as benchmarks to learn from some policy recommendations are offered

measuring and explaining scale efficiency with the parametric approach the case of greek tobacco growers estimates of technical and scale inefficiencies of tobacco farms in greece during the period 1991 1995 are obtained by using the parametric approach the degree of technical efficiency was found to be lower than the degree of scale efficiency and thus a greater portion of overall inefficiency is due to producing below the production frontier than to producing at an inefficient scale in addition the vast majority of farms in the sample exhibited suboptimal scale implying that output should be expanded to reach the optimal scale empirical results are provided to determine the impact of various socioeconomic demographic and geoclimatic indicators on technical and scale efficiency

downsizing in the german chemical manufacturing industry during the 1990s why is small beautiful the german chemical manufacturing industry experienced major downsizing between 1992 and 2004 with the average size of firms shrinking by nearly half during this period this study uses modern frontier efficiency analysis to investigate the determinants of this downsizing based on reliable census data the results of this analysis suggest that firms were not primarily concerned with improving technical efficiency but with establishing an optimal scale of production the proportion of scale efficient firms has been persistently increasing and downsizing is found to be a rational conduct because all scale inefficient firms have continually operated under the decreasing returns portion of technology

using dea to evaluate 29 canadian textile companies considering returns to scale in this research we use data envelopment analysis dea to evaluate the performance of 29 canadian textile companies in 1994 using the charnes cooper and rodes ccr model in dea we first obtain the results of efficiency scores and returns to scale of 29 canadian textile companies we then focus on the returns to scale to examine the possibility of utilizing the inefficient inputs by either further expansion or vertical integration we develop a mathematical model to consider the trade off between reducing and not reducing the input surplus we use the cone ratio model to find the optimal level of vertical utilization the computational results are based on real data from the canadian textile companies

returns to scale in convex production technologies the notion of returns to scale rts is well established in data envelopment analysis dea in the variable returns to scale production technology the rts characterization is closely related to other scale characteristics such as the scale elasticity most productive scale size mpss and global rts types indicative of the direction to mpss in recent years a number of alternative production technologies have been developed in the dea literature most of these technologies are polyhedral and hence are closed and convex sets examples include technologies with weakly disposable undesirable outputs models with weight restrictions and production trade offs technologies that include several component production processes and network dea models for most of these technologies the relationship between rts and other scale characteristics has remained unexplored the theoretical results obtained in this paper establish such relationships for a very large class of closed convex technologies of which polyhedral technologies are an important example

returns to scale and most productive scale size in dea with negative data abstract non parametric evaluation of returns to scale of production units in standard dea models becomes problematic when their underlying technologies involve negative data the methodology recently offered by allahyar and rostamy malkhalifeh 2015 hence after called arm model is of some help to deal with this issue however there are two shortcomings underlying the arm model first it may not be capable of locating all the production units exhibiting constant returns to scale and second it is also not able to determine most productive scale size in order to deal with these two shortcomings the current paper contributes to the dea literature in two ways first it makes a unifying attempt to propose a general non radial dea model to determine both the most productive scale size and the returns to scale characterizations of production units in the presence of negative data second the proposed model can be adapted in a dynamic dea technology setting to determine growth efficiency and returns to growth behavior of production units facing hyper competition in a new economy

the relation of farm size and government programme benefits an application of data envelopment analysis to policy evaluation data envelopment analysis is used to establish comparisions of maximum profit without and with participation in government progarammes a measure of a farm s ability to survive returns on equity is used to measure the benefit received from participation in government programmes density functions are estimated with kernel density estimation using bootstrap samples and weighted regressions are used to test density estimation using bootstrap samples and weighted regressions are used to test the equality of mean benefits between different size groups the results indicate that almost all farms that could be considered of commercial size receive the same benefit from participation in government programmes

the effect of competition on the efficiency of secondary schools in england abstract in this paper we calculate the technical efficiencies based upon multiple outputs school exam performance and attendance rates of all secondary schools in england over the period 1993 1998 we then estimate models to examine the determinants of efficiency in a particular year and the determinants of the change in efficiency over the period our results suggest that the greater the degree of competition between schools the more efficient they are the strength of this effect has also increased over time which is consistent with the evolution of the quasi market in secondary education competition is also found to be an important determinant of the change in efficiency over time there is however some evidence of conditional convergence between schools

small is not that beautiful after all measuring the scale efficiency of tunisian high schools using a dea bootstrap method allocation of resources to schools in a centrally managed state system as the tunisian one should depend on the performance of the individual institutions the optimal size is of crucial importance in this context and we need accurate measurement for sound policies this article discusses and implements a nonparametric statistical test procedure for organization scale efficiency this procedure allows us to test whether the observed scale efficiency is optimal or not using a smooth bootstrap methodology for efficiency measures estimated using data envelopment analysis dea methods because school principals do not control for the size of their institution i e the capital available at decision time the scale efficiency measures are defined so as to include quasi fixed inputs the results show that scale efficiency measures are subject to sampling variation we also found that the schools that are scale efficient are usually mid sized and large schools when size is measured by the number of students

a variable returns to scale data envelopment analysis model for the joint determination of efficiencies with an example of the uk health service a multi activity dea model for the joint determination of efficiencies with variable returns to scale is developed in this paper the model contains an element of complexity that is not present in the previous dea models for estimating returns to scale it is found that apparent overall efficiency may hide scale inefficiency in individual activities the model is applied to study the performance of individual specialties of national health services trusts in the uk it is argued that efficiency can be defined from two different perspectives either as the most efficient internal allocation of resources or the most efficient overall allocation of resources this distinction becomes important when looking at the efficiency of parts of inefficient dmus the relationship between size and returns to scale is also explored this method allows the determination of optimal size of an activity

dea models for resource reallocation and production input output estimation abstract this paper discusses the inverse data envelopment analysis dea problem with preference cone constraints an inverse dea model can be used for a decision making unit dmu to estimate its input output levels when some or all of its input output entities are revised given its current dea efficiency level the extension of introducing additional preference cones to the previously developed inverse dea model allows the decision makers to incorporate their preferences or important policies over inputs outputs into the production analysis and resource allocation process we provide the properties of the inverse dea problem through a discussion of its related multi objective and weighted sum single objective programming problems numerical examples are presented to illustrate the application procedure of our extended inverse dea model in particular we demonstrate how to apply the model to the case of a local home electrical appliance group company for its resource reallocation decisions

a goal programming constrained regression review of the bell system breakup the recently implemented court decision to break up bell american telephone telegraph co to accord with u s anti trust laws represents a highly significant policy decision which is proving to be influential in other countries as well as the u s the telecommunication industry is of such size and importance that even relatively small economies that might be lost with bell s breakup as a natural monopoly could involve substantial welfare losses to consumers and producers studies commissioned by the u s justice department that approached this topic by econometric methods reported that the evidence failed to support the contention that bell was a natural monopoly here a goal programming constrained regression as developed in the management science literature uses the same functional form and the same data but nevertheless reverses the main findings of the econometric studies in every one of the 20 years covered this kind of difference in results obtained by two different methods of analysis poi

an assessment of the efficiency of spanish courts using dea the objective is to provide a measure of technical efficiency of the administrative litigation division of the spanish high courts the concept of efficiency to be measured and the most adequate technique for carrying out the efficiency analysis are selected by considering the specific characteristics of public production the analysis is undertaken by using data envelopment analysis dea and various homogeneity tests returns to scale and restrictions on weights are applied in order to ensure a correct comparison between courts some additional extensions to the analysis such as the calculus of efficient delays and an approximation to the calculus of global efficiency are carried out

dynamic externalities multiple equilibria and growth abstract i consider an olg model with production and a single commodity i show that in such an environment unbounded growth of income per capita is not possible if the aggregate technology is of the constant returns to scale type i introduce an external effect in the aggregate production function and derive conditions under which persistent growth is an equilibrium outcome the introduction of an external effect also creates poverty traps and open sets of initial conditions for which there exists an infinite multiplicity of equilibria when such a multiplicity exists equilibria with the same initial position will display different asymptotic behaviors finally i show that by introducing appropriate tax schemes a unique equilibrium path can be selected

exchange rate variability and trade why is it so difficult to find any empirical relationship this paper discusses why previous literature has found little evidence of any effect of exchange rate variability on international trade methodological and statistical issues are discussed in particular comparisons are made of estimations based on different specifications or using different data sets and changes in the results depending on the method used are shown

the efficiency of conventional fuel power plants in south korea a comparison of parametric and non parametric approaches abstract the efficiencies of the 64 conventional fuel power plants operating in south korea were determined by data envelopment analysis dea approaches as well as by a stochastic frontier method the banker charnes and cooper bcc dea efficiencies were introduced into an econometric estimate of a standard production function model leading to a corrected factors version of the model with significant improvement of the statistical explanation of our data a statistical analysis of the dea efficiencies was carried out and these were compared to efficiencies revealed by a stochastic frontier method