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

simultaneous and sequential price competition in heterogeneous duopoly markets experimental evidence abstract we investigate simultaneous and sequential price competition in duoply markets with differentiated products and random matching of symmetric firms we find that second movers gain from the sequential structure in comparison to simultaneous move markets whereas first movers do not as predicted by the theory there is a significant first mover disadvantage in the sequential game finally we report the results of control treatments varying the matching scheme and the mode of eliciting choices strategy method vs standard sequential play

efficient allocation of co2 emissions in china a zero sum gains data envelopment model abstract the appropriate allocation of co 2 emission quotas can build up a solid foundation for future emissions trading building co 2 emissions allocation mechanism has significant practical implications based on radial zero sum gains data envelopment zsg dea allocation model this paper uses a non radial zsg dea model to allocate co 2 emissions between different chinese provinces unlike previous studies treating co 2 as the input variable we treat co 2 as the undesirable output variable the modified model can better reflect macro production process while earlier relevant models treated co 2 emissions as inputs this paper contributes to the existing resource allocation method and allocates china s provincial co 2 emissions from the view of technical efficiency the results of our paper reveal that 1 between 2006 and 2010 the cumulative optimal amounts of co 2 emissions were higher than the actual amounts in 12 provinces and lower in other 18 provinces 2 several energy abundant provinces such as shanxi and inter mongolia need to take more responsibilities in co 2 emissions reduction 3 after the zsg dea allocation all provinces co 2 emissions are on zsg dea frontier which reflects the overall pareto optimality

financial sustainability and poverty outreach within a network of village banks in cameroon a multi dea approach abstract microfinance institutions face a double bottom line they perform financial tasks by giving microcredits to their customers and support projects aiming at reducing poverty in doing so they have to be financially self sufficient and to target poor people excluded from the traditional financial systems however a trade off may exist between financial sustainability and poverty outreach for these institutions by using a multi dea approach this paper shows that even if a trade off exists for 15 of the mc 2 mutuelles communautaires de croissance in cameroon there is no trade off for 46 of them in order to increase without trade off financial and social performance of inefficient mc 2 a benchmarking approach combing dea and performance indicators has been developed dea is used for identifying best practices and setting benchmarking goals performance indicators are used for characterizing areas needing improvements and following the evolution of mc 2 toward their goals i e for implementing benchmarking complementarity of both approaches provides a tool box for improving financial and social efficiency and reducing the trade off between financial sustainability and poverty outreach of microfinance institutions

the impact of environmental expenditures on performance in the u s chemical industry abstract this study analyzes chemical industry companies with environmental expenditures to determine which ones have better financial performance in addition this study uses data envelopment analysis to evaluate the efficiency of firms with and without environmental expenditures this study also utilizes the malmquist productivity index mpi to analyze firms productivity change and a bootstrap method to test whether the indexes are statistically significant finally this study divides chemical industry companies into three main categories based on their products the results of this study provide significant evidence of a relationship between environmental expenditures and financial performance the findings suggest that firms with environmental expenditures have better efficiency and productivity hence the study encourages companies in the industry to put more effort into protecting the environment that can be through practicing cleaner production to create higher benefits

strategic corporate social responsibility and economic performance this article proposes a novel corporate social responsibility csr index based on a data envelopment analysis dea model acknowledging the argument that companies might favour those csr dimensions that provide strategic competitive advantages we argue that the index can capture companies strategic approach to csr furthermore our findings reveal a neutral relationship between this strategic csr index and economic performance as measured by return on assets roa and tobin s q when controlling for firm unobserved heterogeneity and past economic performance by contrast an equally weighted index of the same csr indicators is found to be negatively related with roa which reinforces our claim that this specific dea based index is a measure of strategic csr

radial and non radial decompositions of profit change with an application to indian banking abstract grifell tatje and lovell grifell tatje e lovell c a k 1999 profits and productivity management science 45 1177 1193 made significant contributions to the literature on the extended radial dea framework by decomposing profit change into six mutually exclusive components their approach however poses two basic problems first the radial estimates on these components might give conflicting signals about the direction of profit change after the full radial efficiencies are achieved when slacks are present second evaluations of these components using base period prices as weights can be potentially misleading to address these concerns we first introduce non radial dea models and then provide a few strong theoretical arguments in favor of using as weights either current period prices or an average price covering both periods to value the contributions of each of these components the indian banking sector is taken as a case study to illustrate the radial and non radial decompositions of profit change so as to empirically examine the role of competition on profit change and its drivers our broad empirical results are as follows first radial and non radial models yield diametrically opposite results on the contributions of various components second the increasing efficiency change trends in all ownership groups after 2002 indicate that the government reform process instituted on the banking industry has had a favorable effect on the performance of the indian banking sector third despite the fact that nationalized banks are the oldest banks their output and resource allocation behaviors do not reflect their learning experience

learning and noisy equilibrium behavior in an experimental study of imperfect price competition we consider a duopoly pricing game with a unique bertrand nash equilibrium the high price firm has a nonvanishing market share however and intuition suggests that observed prices may be positively related to this market share this relationship is implied by a model in which players make noisy logit best responses to expected payoff differences the resulting logit equilibrium model was used to design an experiment in which the high price firm s market share varies the model accurately predicts the final period price averages a naive learning model predicts the observed differences in the time paths of average prices

goal congruence analysis in multi division organizations with shared resources based on data envelopment analysis abstract in multi division organizations goal congruence between different divisions and top management is critical to the success of management in this paper drawing upon a nonparametric framework to model production technology we derive a necessary and sufficient condition for a firm with multiple divisions to be goal congruent and then extend it to a goal congruence testing measure which coincides with a data envelopment analysis dea model the goal congruence measure not only shows empirically whether the firm is goal congruent or not but also provides a measurement for the degree of goal incongruence to be goal congruent resources shared among divisions are suggested to be allocated so that the conditions for an optimizable operation are satisfied in addition goal congruent firms are verified to be cost efficient all findings in this research are examined and illustrated with a dataset of 20 bank branches with shared resources for service and sales divisions

cost efficiency of electric grid utilities in china a comparison of estimates from sfa mle sfa bayes and stoned cnls with the purpose of estimating the range of cost efficiency levels of the power grid sector in china we assembled a data set including 23 provincial power grid companies spanning from 2005 to 2009 and conducted an empirical study based on the sfa mle sfa bayes and stoned cnls methodologies empirical results show that the average values of efficiency from different models vary from 0 85 to 0 92 depending especially on the assumptions underlying inefficiency content further results demonstrate that there is exogenous technical progress during the sample period and per capita gdp of the province is negatively related to the costs of the electric grid company located in the corresponding province we hope this empirical study will contribute to the debate on an efficiency based regulation scheme which was introduced to the chinese electric grid sector on a pilot base in 2014

efficiency of a fixed but allocatable input a non parametric approach the traditional non parametric or dea models measure efficiency for given inputs and outputs without allowing for reallocation of inputs these models do not look inside the technology but rather treat it as a black box in this paper we open up the box by modeling the possibility of reallocation of a fixed input

china s regional natural resource allocation and utilization a dea based approach in a big data environment abstract china s economic reform and opening policy has resulted in china s rapid growth especially in terms of economy the growth however is mainly based on huge consumption of natural resources and that consumption should be reduced by significant amounts to protect global ecosystems emerged in 1980s big data has developed very quickly in recent years bringing new perspectives and opportunities for all kinds of academic fields especially in dea since it is a research highly based on data in this paper we propose a sbm dea model based on natural resource input orientation to evaluate the efficiency of natural resource utilization for 26 provincial regions in mainland china from 2005 to 2012 a dea based approach is developed to allocate a reduced total of natural resources among the 26 provincial regions drawing support from the developments of big data we use each provincial region s previously observed production data to characterize its own production technology which allows a better analysis of how the production will change after allocations of natural resources are reduced our empirical study shows that most provincial regions perform well in terms of efficiency in utilizing natural resources but that is based on huge consumption of natural resources from an area perspective the eastern area of china achieved the highest average efficiency value followed by the central and western areas our study also indicates that the most effective allocation of the natural resources requires about half of the 26 provincial regions to reduce their natural resource consumption while the remaining ones can maintain their original consumption

the measurement of productive efficiency a reconsideration the purpose of this paper is to generalize the farrell indexes of productive efficiency to nonhomothetic production technologies and at the same time maintain the cost interpretation of the farrell measures since the generalized indexes rely heavily on recent developments in the estimation of frontier cost and production functions several frontier models are reviewed in addition to generalized indexes of technical allocative and overall productive efficiency a variety of single factor efficiency measures are discussed the applicability of the proposed efficiency measures is illustrated with a numerical example of electric power generation

efficiency and allocation of emission allowances and energy consumption over more sustainable european economies abstract efficient use of energy reduction in fossil fuel dependence and control of co2 emissions are all fundamental to development of a sustainable economy competitiveness in energy use saves imports of oil and gas increases gross domestic product and creates new jobs in the renewable energy and energy efficiency sectors this study identifies the more or less competitive european union member states in terms of sustainable growth using data envelopment analysis dea model and proposes new allocations of country greenhouse gas limits and energy consumption using a zero sum gains dea model the analysis of european countries fills a gap in the existing literature and contributes to the discussion on the 2020 2030 european strategy proposing an efficiency based indicator which measures country performance in terms of economic social and environmental factors gdp represents the economic factor population represents the social factor and emissions final and renewable energy consumption are the environmental factors the numerical results show that the initial allocations are inefficient applying the modelled reallocation the most efficient countries are rewarded by potential increases in emission and energy consumption while the least efficient countries must bring about decreases to achieve full efficiency

a simple derivation of scale elasticity in data envelopment analysis in this paper we suggest a simple derivation of the formulae for the scale elasticity in the variable returns to scale technology as used in data envelopment analysis our development is consistent with the existing literature but the proof is much shorter and applies to the general case without any simplifying conditions

measuring efficiency in the public sector using nonparametric frontier estimators a study of transit agencies in the usa transit agencies in the usa must provide service under increasing operating constraints using data from 1989 1993 technical efficiency among these firms is estimated and characteristics indicative of differential efficiency in transit agencies are identified this paper verifies the robustness of the second step regression results to the choice of efficiency measure by comparing results of the two step regressions using a pair of non parametric efficiency estimators it is discovered that the structure of government subsidy to this industry negatively affects not just cost efficiency but technical efficiency as well furthermore maintenance appears to be an important component of operational efficiency in this industry

a more scientific allocation scheme of carbon dioxide emissions allowances the case from china abstract efficient allocation of carbon dioxide co2 emissions allowances is essential to the realization of the emissions reduction goal using china as an example this study applies a zero sum gains data envelopment analysis zsg dea model to translate the country s reduction target into provincial goals based on the chinese government s 2020 reduction goal to evaluate efficiency scores we employ the epsilon based measure model that combines radial and non radial characteristics different from prior studies we emphasize the effect of industrial structure on co2 emissions and calculate a composite gross domestic product gdp index as one of the output variables by utilizing the zsg dea model and based on china s provincial co2 emissions allowances as the input variable the composite gdp index and the population as the output variable we obtain an optimal reallocation scheme after four iterations a comparison between the results and official reduction goals shows that the government should increase co2 emissions allowances appropriately for most provinces with high proportions more than 40 of second industry increment in gdp thereby carrying implications for policymakers with china as an example these findings have global implications as regards developing a more scientific allocation scheme especially for regions with unbalanced industrial structures

optimization of india s power sector strategies using weight restricted stochastic data envelopment analysis abstract india s power sector has a significant impact on the country s development and climate change mitigation efforts optimization of energy planning is therefore key to achieving the overall planning goals the hierarchical multi objective policy optimization is a policy centric multi level bottom up iterative approach designed from a developing country perspective utilizing the optimality principle of dynamic programming it is applied to the indian power sector by grouping the strategies into three portfolios namely power generation mix demand side efficiency group and supply side efficiency group each portfolio is optimized taking into account the objectives of cost minimization and comprehensive risk and barrier reduction the portfolios are further combined and optimized at a higher level with respect to higher level objectives namely economic growth energy equity energy security and climate sustainability this paper focuses on the second level optimization utilizing data envelopment analysis dea both the deterministic and stochastic variations have been analysed and the results compared in respect of unrestricted as well as restricted weight models the analysis shows that weight restricted stochastic dea model is most appropriate for efficiency optimization of power sector strategies the methodology can be effectively used for energy planning in developing countries

efficiency of the medical care industry evidence from the italian regional system abstract what might be the relation between clinical research and efficiency of medical care suppliers is the hypothesis of a positive relation consistent considering efficiency as the supplier s ability to maximize the number of patients hospitalized in a mobility process among regions i e mobility balance this work aims at highlighting the existence of a positive externality of pharmaceutical clinical research on that kind of efficiency in other words an externality is able to affect the patients perception of good bad quality of outputs supplied by the medical care industry leading their mobility process taking italy and the mobility of patients among regions into account an operational research study will be performed in order to support this assumption the goal of this work is to show an alternative way to increase the efficiency of medical care suppliers on the market of health care that is to say through their competitiveness on the market of human experimentation

incorporating contextual information in public sector efficiency analyses a comparative study of nsw local government using the planning and regulatory function of 173 nsw local governments several approaches for incorporating contextual or non discretionary inputs in data envelopment analysis dea are compared non discretionary inputs or factors beyond managerial control in this context include the population growth rate and distribution the level of development and non residential building activity and the proportion of the population from a non english speaking background the approaches selected to incorporate these variables include discretionary inputs only non discretionary and discretionary inputs treated alike and differently categorical inputs adjusted dea and endogenous dea the results indicate that the efficiency scores of the five approaches that incorporated non discretionary factors were significantly positively correlated however it was also established that the distributions of the efficiency scores and the number of councils assessed as perfectly technically efficient in the six approa

cost allocation and convex data envelopment abstract this paper considers allocation rules first we demonstrate that costs allocated by the aumann shapley and the friedman moulin cost allocation rules are easy to determine in practice using convex envelopment of registered cost data and parametric programming second from the linear programming problems involved it becomes clear that the allocation rules technically speaking allocate the non zero value of the dual variable for a convexity constraint on to the output vector hence the allocation rules can also be used to allocate inefficiencies in non parametric efficiency measurement models such as data envelopment analysis dea the convexity constraint of the bcc model introduces a non zero slack in the objective function of the multiplier problem and we show that the cost allocation rules discussed in this paper can be used as candidates to allocate this slack value on to the input or output variables and hence enable a full allocation of the inefficiency on to the input or output variables as in the ccr model

income and democracy evidence from nonlinear estimations we test the relation between income and democracy during the postwar period we employ panel estimation methods that explicitly allow for the fact that the primary measures of democracy are censored with substantial mass at the boundaries we find that the statistically significant positive income democracy relationship is robust to the inclusion of country fixed effects

measuring technical efficiency abstract the theoretical consideration of technical efficiency has existed since koopmans koopmans t c 1951 an analysis of production as an efficient combination of activities in koopmans t c ed activity analysis of production and allocation cowles commission for research in economics monograph no 13 wiley new york defined it as production possibilities for which it is not possible to increase any output without simultaneously increasing any input ceteris paribus the non parametric approach to efficiency calculation known as data envelopment analysis is not based on this definition but rather on the radial index of farrell farrell m j 1957 the measurement of productive efficiency journal of the royal statistic society ser a 120 253 281 even after farrell efficiency is achieved there may exist additional slack in individual inputs and or outputs implying that farrell s index does not necessarily measure koopmans inefficiency various measures have been proposed to solve this problem this paper discusses shortcomings of these alternative measures and introduces a new relative measure of technical efficiency using simulated data it is shown that the new measure outperforms existing measures in the majority of cases

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

efficient resource allocation via efficiency bootstraps an application to r d project budgeting resource allocation decisions are crucial for the success of an organization this paper proposes an integrated approach to resource allocation problems in which decision makers have one observation of the multiple input output criteria of candidates we offer important improvements over existing approaches based on the widely used data envelopment analysis dea which has two major limitations in its application to resource allocation first traditional dea models compute efficiency scores by optimizing firm specific shadow prices of inputs and outputs this could be problematic because in practice stakeholders would usually require unanimously agreed upon trade offs among evaluation criteria second previous allocation approaches based on dea do not allow for controlling the risk exposure of allocation portfolios to tackle these problems we propose an efficiency measure based on equilibrium shadow prices of different criteria and we use the bootstrap efficiency distributions to gather information regarding efficiency variations and correlations through our methodology decision makers can obtain the risk minimizing allocation portfolio we illustrate the proposed approach through an empirical r d project budgeting problem in which we allocate funding according to the projects efficiency distributions

prioritization models for frontier decision making units in dea abstract data envelopment analysis dea has received significant attention in recent years as a tool for measuring the relative efficiency of each member of a set of decision making units dmus typically a relatively large proportion of the dmus will be credited with an efficiency score of 1 with no clear means of discriminating among such units in a number of applications however it may be necessary to select a winning dmu from this set of frontier units this paper examines various conditions that are imposed on the multipliers in a dea analysis in each case an approach is suggested for breaking ties on the frontier

cost efficiency of french rugby clubs this article analyses the cost efficiency of french first league rugby clubs using a stochastic frontier model the frontier estimation confirmed that the model fits the data well with all coefficients correctly signed and in line with the theoretical requirements the results show that one of the clubs is operating efficiently with the majority of clubs clustered around 20 inefficiency policy implications are derived

a dynamic theory of the transition to democracy abstract a model of the transition to democracy is presented within a dynamic general equilibrium framework we demonstrate that democratic transitions occur endogenously in the course of economic growth or with economic contraction being fundamentally driven by the economic position of the middle class democratic transitions can occur rapidly or slowly because the autocrat faces an informational asymmetry regarding the effect of his policies on the political economic environment the model shows that the primary factors affecting the speed of democratic transitions are inequality the planning horizon of the autocrat the autocrat s perceived legitimacy and the rate of economic growth

energy efficiency measurement in agriculture with imprecise energy content information abstract measuring energy efficiency is crucial when planning energy reduction policies however decision makers are understandably reluctant to act in the absence of solid data and results supporting a policy position this paper proposes a methodology to measure the energy efficiency of farms based on the data envelopment analysis dea approach in a manner similar to the cost framework we decompose energy efficiency measurements into technical and allocative efficiencies in energy contents of inputs in this study we replace input prices used in traditional economic efficiency measurements by their energy content we use the energy efficiency model to explore the optimal input mix that produces the current outputs at minimum energy consumption we demonstrate that this decomposition can help policy makers design accurate energy policies however the uncertainty of the data and more particularly the energy content of the inputs leads us to recommend using the methodologies to calculate the bounds of efficiency to obtain more plausible and robust results based on our analysis energy efficiency is not a fixed value and policy makers should consider it with caution we use a 2007 database of french farms specialised in field crops for empirical illustration

influencing factors on hydrogen energy r d projects an ex post performance evaluation abstract to enhance its energy security korea made a significant r d investment in developing hydrogen energy technology over a period of 10 years the hydrogen energy r d center was established in 2003 with a 100 billion korean won krw government investment that would fund the initiative through 2012 this paper is a meaningful attempt to evaluate the ex post performance of completed hydrogen energy r d projects using data envelopment analysis dea through empirical analysis we focus mainly on measuring ex post performance and uncovering the influencing factors on that performance the results of our empirical analysis reveal several interesting findings first overall the ex post performance of completed projects is relatively low however there are major performance gaps among projects second r d type technology type and private sector investment are factors influencing project performance more specifically projects identified as basic research storage technology or without private sector investment had the highest performance with an acceptable level of statistical significance third dea can provide unique information such as results of returns to scale and slack analysis which cannot be gleaned from parametric methods as time went on the decreasing returns to scale drs ratio increased and the increasing returns to scale irs ratio decreased this means that the r d budget was used less and less effectively as time passed moreover among the three year project period the second year s r d budget was used most efficiently in each r d project this study can provide meaningful information to policy makers to enhance the performance of future r d projects and to promote hydrogen r d projects as well as advance the hydrogen economy

hypercongestion in production correspondences an empirical exploration this empirical contribution reviews the rather limited existing literature measuring congestion in production it first compares current ways to measure congestion using nonparametric specifications of technologies in particular it focuses on the magnitude and incidence of the congestion detected in empirical studies using traditional radial efficiency measures thereafter it shows the limitations of this radial measurement and how alternative measurement schemes may reveal higher amounts of congestion then the new more general methodology of measuring s congestion is presented in particular we first present a numerical example to illustrate the way the s disposable technologies allow to capture more extreme forms of congestion by setting empirically determined upper bounds to the wasting of inputs then an empirical illustration is presented based on an existing sample of data a final section concludes

does compulsory school attendance affect schooling and earnings we establish that season of birth is related to educational attainment because of school start age policy and compulsory school attendance laws individuals born in the beginning of the year start school at an older age and can therefore drop out after completing less schooling than individuals born near the end of the year roughly 25 percent of potential dropouts remain in school because of compulsory schooling laws we estimate the impact of compulsory schooling on earnings by using quarter of birth as an instrument for education the instrumental variables estimate of the return to education is close to the ordinary least squares estimate suggesting that there is little bias in conventional estimates every developed country in the world has a compulsory schooling requirement yet little is known about the effect these laws have on educational attainment and earnings 1 this paper exploits an unusual natural experiment to estimate the impact of compulsory schooling laws in the united states the experiment stems from the fact that children born in different months of the year start school at different ages while compulsory schooling laws generally require students to remain in school until their sixteenth or seventeenth birthday in effect the interaction of school entry requirements and compulsory schooling laws compel students born

contestable markets an uprising in the theory of industry structure presents a transcript of the presidential address delivered at the 94th meeting of the american economic association on december 29 1981 discussion of developments in the theory of industry structure welfare attributes of contestable markets behavior characteristics of oligopoly equilibrium intertemporal vulnerability to inefficient entry ebsco

a dynamic multi stage data envelopment analysis model with application to energy consumption in the cotton industry abstract data envelopment analysis dea is a non parametric method for evaluating the relative efficiency of homogenous decision making units dmus with multiple inputs and outputs in this paper we present a dynamic multi stage dea dms dea approach to evaluate the efficiency of cotton production energy consumption in the proposed model the farms which consume resources i e fertilizers seeds and pesticides to produce cotton are assumed to be the dmus inputs not consumed during a planning period are carried over to the next period in the planning horizon initially a dms dea model is used to determine the overall efficiency of the dmus with dynamic inputs next the efficiency score of each dmu is calculated for each time period in the planning horizon we demonstrate the applicability of the proposed method and exhibit the efficacy of the procedures and algorithms with a real life case study of energy consumption in the cotton industry

multi output efficiency with good and bad outputs abstract cherchye de rock dierynck roodhooft and sabbe 2013 introduced a dea methodology that is specially tailored for multi output efficiency measurement the methodology accounts for jointly used inputs and incorporates information on how inputs are allocated to outputs in this paper we present extensions that render the methodology useful to deal with undesirable or bad outputs in addition to desirable or good outputs interestingly these extensions deal in a natural way with several limitations of existing dea approaches to treat undesirable outputs we also demonstrate the practical usefulness of our methodological extensions through an application to us electric utilities

income and democracy a smooth varying coefficient redux summary acemoglu et al american economic review 2008 98 808 842 find no effect of income on democracy when controlling for fixed effects in a dynamic panel model work by moral benito and bartolucci economics letters 2012 117 844 847 and cervellati et al american economic review 2014 104 707 719 suggests that the original model might have been misspecified and proposes alternative specifications instead we formally test these parametric specifications by implementing lee s journal of econometrics 2014 178 146 166 dynamic panel test of linear parametric specifications against a general class of nonlinear alternatives robustly and reject all these specifications however using a more flexible model proposed by cai and li econometric theory 2008 24 1321 1342 we find that the relationship between income and democracy appears to be mediated by education but results are not statistically significant copyright 2016 john wiley sons ltd

pricing behavior in asymmetric markets with differentiated products abstract we experimentally test bertrand nash equilibria in markets with differentiated products in contrast to the existing literature we choose asymmetric market settings in which pure strategy equilibria do not exist our results show that bertrand nash equilibria do remarkably well in predicting price distributions and comparative statics inaccuracies can be explained by boundedly rational decision making other equilibrium concepts are not able to explain the data

exploring the existence of kuznets curve in countries environmental efficiency using dea window analysis abstract this paper using data envelopment dea window analysis and generalized method of moments gmm estimators examines the existence of a kuznets type relationship between countries environmental efficiency and national income specifically it measures the environmental efficiency of 17 oecd countries by constructing environmental efficiency ratios for the time period 1980 2002 the analysis with the application of dynamic panel data reveals that there isn t a kuznets type relationship between environmental efficiency and income allowing for dynamic effects we find that the adjustment to the target ratio is instantaneous we also find that increased economic activity does not always ensure environmental protection and thus the path of growth is important in addition to the growth itself

efficiency subsidies and environmental adaptation of animal farming under cap the purpose of this article is to model the interaction between the targets of the current cap environmental adaptation subsidies and efficiency q1 of animal farming to this end we first have to identify the production frontier and relative efficiency level for each animal oriented farm in the sample the production frontier and efficiency index for each type of farm assuming no specific production functions are identified using data envelope analysis dea techniques we then address the relationship between relative efficiency farm size and environmentally friendly behavior by carrying out a nonparametric regression of efficiency on economic size a proxy for the degree of environmental appropriateness and regional dummies calculations of the efficiency of the farms including direct subsidies are compared with the counterfactual exercise in the case in which direct subsidies are not considered finally we look for relations between subsidies and factors such as farm size efficiency and environmentally friendly behavior one key result shows that on average direct payments generally tend to increase efficiency however in most of the cases the mean efficiency decreases as the percentage of direct payments rises direct payments are found to be positively related to environmentally friendly production at least in germany however in general the direct payment system is not sufficient to offset the fact that the less environmentally friendly farms as well as the larger farms are more efficient

data envelopment analysis models of investment funds abstract this paper develops theory missing in the sizable literature that uses data envelopment analysis to construct return risk ratios for investment funds it explores the production possibility set of the investment funds to identify an appropriate form of returns to scale it discusses what risk and return measures can justifiably be combined and how to deal with negative risks and identifies suitable sets of measures it identifies the problems of failing to deal with diversification and develops an iterative approximation procedure to deal with it it identifies relationships between diversification coherent measures of risk and stochastic dominance it shows how the iterative procedure makes a practical difference using monthly returns of 30 hedge funds over the same time period it discusses possible shortcomings of the procedure and offers directions for future research

information sharing in dea a cooperative game theory approach abstract in this paper a cooperative dea game is proposed based on the idea that different organizations can gain if they share data on the input consumption and output production of their processing units a larger data sample allows a more complete description of the production possibility set and consequently of the efficient frontier however since not all organizations will benefit in the same way it is convenient to use cooperative game theory in order to share the benefits of the cooperation the proposed cooperative dea game is shown to be subadditive and balanced models for computing the value of the game and checking its stability taking into account the exponential number of coalitions that exist when the number of organizations is large are also presented the approach is illustrated with a dataset from the literature

weak disposability in nonparametric production analysis reply to fare and grosskopf fare and grosskopf this issue claim that a single abatement factor suffices for modeling weak disposability in nonparametric production models and that the kuosmanen 2005 technology that uses multiple abatement factors is larger than necessary this article demonstrates by a numerical example that a single abatement factor does not suffice to capture all feasible production plans and that its use leads to the violation of convexity one of the maintained assumptions of the model we also prove that the kuosmanen technology is the correct minimum extrapolation technology under the stated axioms

the transition of corruption from poverty to honesty measures of corruption and income are highly correlated across countries we use prehistoric measures of biogeography as instruments for modern income levels we find that our instrumented incomes explain the cross country pattern of corruption just as well as do actual incomes this result demonstrates that the long run causality is entirely from income to corruption hence there is a corruption transition as countries get rich corruption vanishes

are football managers as efficient as coaches performance analysis with ex ante and ex post inputs in the premier league there is a controversy on sport performance literature about what type of inputs might explain more deeply the performance of sports clubs inputs specification controversy by one side several p

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

regulatory reforms and productivity an empirical analysis of the japanese electricity industry the japanese electricity industry has experienced regulatory reforms since the mid 1990s this article measures productivity in japan s steam power generation sector and examines the effect of reforms on the productivity of this industry over the period 1978 2003 we estimate the luenberger productivity indicator which is a generalization of the commonly used malmquist productivity index using a data envelopment analysis approach factors associated with productivity change are investigated through dynamic generalized method of moments gmm estimation of panel data our empirical analysis shows that the regulatory reforms have contributed to productivity growth in the steam power generation sector in japan

measuring efficiency with quasiconcave production frontiers abstract comparing with the frontiers derived from the data envelopment analysis dea and banker charnes cooper bcc methods the frontier derived from the free disposal hull fdh method is the closest to observed decision making units dmus and hence it can give each dmu the highest efficiency score however the frontier from the fdh method may not be a quasiconcave production frontier the production frontiers derived by petersen on the other hand may overstate inefficiency for some quasiconcave production frontiers this paper has used the minimum convex input requirement set and maximum convex output possible set to construct the closest quasiconcave production frontier for dmus by ordering dmus by input output level the dea method can be employed to estimate input based and output based efficiency scores

fixed cost and resource allocation based on dea cross efficiency abstract in many managerial applications situations frequently occur when a fixed cost is used in constructing the common platform of an organization and needs to be shared by all related entities or decision making units dmus it is of vital importance to allocate such a cost across dmus where there is competition for resources data envelopment analysis dea has been successfully used in cost and resource allocation problems whether it is a cost or resource allocation issue one needs to consider both the competitive and cooperative situation existing among dmus in addition to maintaining or improving efficiency the current paper uses the cross efficiency concept in dea to approach cost and resource allocation problems because dea cross efficiency uses the concept of peer appraisal it is a very reasonable and appropriate mechanism for allocating a shared resource cost it is shown that our proposed iterative approach is always feasible and ensures that all dmus become efficient after the fixed cost is allocated as an additional input measure the cross efficiency dea based iterative method is further extended into a resource allocation setting to achieve maximization in the aggregated output change by distributing available resources such allocations for fixed costs and resources are more acceptable to the players involved because the allocation results are jointly determined by all dmus rather than a specific one the proposed approaches are demonstrated using an existing data set that has been applied in similar studies

characterizing an equitable allocation of shared costs a dea approach abstract in many applications to which dea could be applied there is often a fixed or common cost which is imposed on all decision making units this would be the case for example for branches of a bank which can be accessed via the numerous automatic teller machines scattered throughout the country a problem arises as to how this cost can be assigned in an equitable way to the various dmus in this paper we propose a dea approach to obtain this cost allocation which is based on two principles invariance and pareto minimality it is shown that the proposed method is a natural extension of the simple one dimensional problem to the general multiple input multiple output case

determinants of democracy a panel study of over 100 countries from 1960 to 1995 finds that improvements in the standard of living predict increase in democracy as measured by a subjective indicator of electoral rights the propensity for democracy rises with per capita gdp primary schooling and a smaller gap between male and female primary attainment for a given standard of living democaracy tends to fall with urbnization and with a greater reliance on natrual resources democracy has little relation to country size but rises with the middle class share of income the apparently strong relation of democracy to colonial heritage mostly disappears when the economic variables are held constant similarly the allowance for these economic variables weakens the interplay between democracy and religious affiliation however negative effects from muslim and non religious affiliations remain intact

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

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

assessing eco efficiency through the dea analysis and decoupling index in the latin america countries abstract this study was developed according to a two step approach in the first step we provide an investigation of the changes in eco efficiency under constant and variable return to scale while on a second step the evaluation of the decoupling elasticity will be given the impacts of energy economic and environmental determinants inputs on the performance indicators of eco efficiency were calculated as the inverse of the carbon intensity ratio of the gdp over the co2 emissions both from the world development indicators database the changes in eco efficiency and the decoupling elasticity between co2 emissions and economic growth changes data was used for 16 latin america countries according to five year periods from 1994 to 2013 for all the five time span considered it is worth noting that the degree of technical efficiency for the latin america countries is lower than the degree of technological efficiency thus indicating that a portion of the overall inefficiency is due to the fact that these countries are producing below the production frontier rather than to an inefficient use of technology on average the results have confirmed that the technological scale change in energy production is the dominant factor influencing the optimal production frontier in the sample of countries under analysis complementarily according to the mixed results from the decoupling analysis we may conclude that the increase decrease of the co2 per capita emissions was due to other economic and environmental factors rather than to a negative positive effect of the gdp growth rate

performance and efficiency in colombia s power distribution system effects of the 1994 reform we assess evolution in performance efficiency and productivity of colombia s power distribution utilities before and after the 1994 regulatory reform that introduced electricity market activities for the power sector in 12 distribution companies from 1985 to 2001 performance is evaluated contrasting changes in mean and median by wilcoxon rank sum and pearson tests on financial and other performance indicators technical efficiency is measured by means of data envelopment analysis dea the nature of the dataset allows the estimation of malmquist productivity index and its evolution in time results show a recovery after the reform in the main performance indicators of profitability partial input productivity and output plant efficiency and productivity increased after the reform mainly in the largest utilities used as benchmarks in the dea efficiency scores measures meanwhile the less efficient power distribution companies did not improved after the reform and were not able to undertake plant restructuring to catch up in plant efficiency with respect to the pareto efficient input allocations econometric results on dea efficiency scores suggest a positive effect of policy reform

income and democracy comment acemoglu et al 2008 document that the correlation between income per capita and democracy disappears when including time and country fixed effects while their results are robust for the full sample we find evidence for significant but heterogeneous effects of income on democracy negative for former colonies but positive for non colonies within the sample of colonies we detect heterogeneous effects related to colonial history and early institutions the zero mean effect estimated by acemoglu et al 2008 is consistent with effects of opposite signs in the different subsamples our findings are robust to the use of alternative data and estimation techniques jel d72 o17 o47

bertrand equilibrium in a differentiated duopoly this paper studies the stability of price competition in a horizontally differentiated duopoly the firms demand is derived from a distribution of consumer preferences this description of the consumer sector is applicable to a large class of differentiated commodity markets including spatial competition models the author shows that there is a pure price setting equilibrium when consumer tastes are sufficiently dispersed further conditions on the dispersedness of preferences guarantee uniqueness of the equilibrium in addition the author examines the relation between consumer preferences and the competitiveness and efficiency of the equilibrium outcome copyright 1992 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

production planning in data envelopment analysis abstract the present paper extends prior researches on data envelopment dea based production planning in a centralized decision making environment in such an environment the production planning problem involves the participation of all individual units each contributing in part to the total production the production planning problem involves determining the number of products to be produced by all individual units in the next season when demand changes can be forecasted the current study is concerned with optimal production planning in a centralized decision making environment the approach proposed in this paper takes the size of operational units into consideration and the production level for each unit becomes proportional to the ability of the units the applicability of the proposed approach in real applications is illustrated empirically using two real cases

goal programming data envelopment analysis godea for target based multi level planning allocating central grants to the greek local authorities abstract in this paper we develop an interface between goal programming and data envelopment analysis godea in order to integrate target setting and resource allocation in multi level planning problems data envelopment analysis dea has been traditionally used for assessing the performance of individual decision making units and therefore necessary extensions are needed to apply dea principles to the global organisational level without however losing its attractive features the method was originally developed as an aid to the reorganisation of the allocation of central funds to local authorities in greece

allocating the fixed cost as a complement of other cost inputs a dea approach in cost allocation problem traditional dea approaches allocate the fixed cost among a group of decision making units dmus and treat the allocated cost as an extra input of each dmu if costs except for the fixed cost are regarded as inputs in the cost allocation problem then it is obvious that the fixed cost is a complement of other inputs rather than an extra independent input therefore it is necessary to combine the allocated cost with other cost measures in cost allocation problem based on this observation this paper investigates the relationship between the allocated cost and the dea efficiency score and develops a dea based approach to allocate the fixed cost among various dmus an example of allocating advertising expenditure between a car manufacturer and its dealers is presented to illustrate the method proposed in this paper

technical efficiency shadow price and substitutability of chinese industrial so2 emissions a parametric approach abstract in china s transition process towards sustainable development fighting against the rising so2 emission has become a great and urgent challenge based on a parametric quadratic directional distance function this paper investigates the inefficiency level shadow price and substitution elasticity of chinese industrial so2 emission from 1998 to 2011 the results show a u shape for the technical inefficiency indicating an efficiency improvement before 2005 but it getting worse since then which is that the east area displays a declining trend while the west goes up and the middle follows the national pattern at the east middle west region level as of the shadow price and morishima elasticity both the national and regional levels hold an increasing trajectory the shadow price is continuously increased a lot during the whole period implying to control additional so2 emission become more costly the positive morishima substitution elasticity suggests there may exist the win win opportunities for so2 regulation moreover the large regional disparity highlights the needs to adopt a differentiated regional policy

local resource reallocation considering practical feasibility a centralized data envelopment analysis approach abstractmany studies have addressed resource allocation issues by using centralized data envelopment analysis models however few of them provided a local resource reallocation plan which may be carried out more easily this article proposes two models to get such plans the first one considers an acceptable percentage of changes in resources to ensure practical feasibility the second one further considers a situation where resources can only be allowed to shift within specific units the proposed models are applied to an empirical study based on a hospital system in taiwan to demonstrate the practical feasibility of the suggested plans we compare our reallocation suggestions to a plan that can make the whole system be perfectly efficient the main conclusion is that the plans derived from our models are more practically feasible than that with perfect efficiency

industrial eco efficiency in china a provincial quantification using three stage data envelopment analysis abstract the coordinated development of industrialization and the ecological environment is vital to achieve ecological civilization in china integratively considering the economy energy and resources and environment this study aims to measure the industrial eco efficiency of 30 provinces autonomous regions and municipalities in china between 2005 and 2013 a three stage data envelopment analysis dea modeling approach is adopted to eliminate interference of the external environment and statistical noise with industrial eco efficiency measurement the results show that regional industrial eco efficiency in china is affected by the factors of the environmental regulation technological innovation level of economic development and industrial structure after eliminating the impacts of external environment and statistical noise china s national average industrial eco efficiency declines by 30 between 2005 and 2013 the industrial eco efficiency of the 30 provinces increases but at different rates of growth the variation of overall regional industrial eco efficiency is primarily caused by scale efficiency furthermore all the 30 provinces are classified into four groups to interpret the causes of variation and differences of regional industrial eco efficiency in general the management and technology level and the economy of scale of industries should be improved simultaneously even though specific opportunities for industrial eco efficiency improvement vary across provinces in china

a generalized equilibrium efficient frontier data envelopment analysis approach for evaluating dmus with fixed sum outputs the recently published equilibrium efficient frontier data envelopment analysis eefdea approach yang et al 2014 represents a step forward in evaluating decision making units dmus with fixed sum outputs when compared to prior approaches such as fsodea fixed sum outputs dea approach yang et al 2011 and zsg dea zero sum gains dea approach lins et al 2003 and so on based on the eefdea approach in this paper we proposed a generalized equilibrium efficient frontier data envelopment analysis approach geefdea which improves and strengthens the eefdea approach compared to eefdea approach this approach makes several improvements in evaluation namely that 1 it is not necessary to determine the evaluation order in advance which overcomes the limitation that different evaluation orders will lead to different results 2 the equilibrium efficient frontier can be achieved in only one step no matter how many dmus they are which greatly simplifies the procedure to reach the equilibrium efficient frontier especially when the number of dmus is large and 3 the constraint that signs of outputs adjustment of each dmu must be same all non positive or all non negative in prior approaches has been relaxed in this sense the result obtained by the proposed approach is more consistent with the demand of practical applications finally the proposed approach combined with assurance regions ar is applied to the data set of 2012 london olympic games

cost minimizing target setting heuristics for making inefficient decision making units efficient abstract a problem of increasing the efficiencies of inefficient decision making units dmus with known marginal costs of reducing inputs is considered it is shown that the problem is difficult to solve exactly and has exponential computational complexity two heuristics heuristic i and heuristic ii that consider cost minimizing dea frontier projections for inefficient dmus are proposed the proposed heuristics are tested by using several simulated and real world datasets with linear and fibonacci marginal input reduction costs the results of the proposed heuristics are compared with traditional cost insensitive dea frontier projections and it is shown that heuristic i results in approximately 18 58 lower costs

income and democracy revisiting the evidence abstract in an influential paper acemoglu et al 2008 find that the positive correlation between income per capita and the level of democracy across countries vanishes once country specific effects are accounted for in this paper we find evidence of a non linear effect from income to democracy even after controlling for country specific effects in particular our findings point to the existence of a positive effect only in low income countries

income and democracy evidence from system gmm estimates abstract does higher income cause democracy accounting for the dynamic nature and high persistence of income and democracy we find a statistically significant positive relation between income and democracy for a postwar period sample of up to 150 countries our results are robust across different measures of democracy and instrumentation strategies

advanced x efficiencies for ccr and bcc models towards peer based dea controlling abstract classical ccr and bcc dea models follow a general concept they allow each dmu to evaluate its in efficiency in the most favorable way and then propose input reduction and or output raise so as to follow its best practice units a first step beyond this self appraisal is the consideration of x efficiencies thus evaluating dmus with optimal weights of a peer doing this for all possible peers yields a cross efficiency matrix either for ccr or for bcc models this matrix might help to find a fair peer for the remaining dmus in a second step recent contributions analyze for ccr models how such x evaluated dmus might improve their efficiency with respect to a peer s weight system in these models even free variation of inputs outputs is possible rather than reduction and or raise such models will be portrayed here and generalized for variable returns to scale the remaining discomfort which a dmu might feel with the choice for peer among business rivals leads to the concept of a virtual peer vp this paper proposes such a peer as a consensual option for all dmus now for either return to scale ccr and bcc for an input or output oriented focus and by free variation of inputs and outputs they can meet the requirements of vp the dmus pay a heavy price however the peer controls their respective weights and even their activities he is a dictator

productivity and efficiency change and shareholder value evidence from the spanish banking sector productivity change and shareholder value have been analysed in the banking sector in the last few years although it should be noted that these two important aspects have been studied separately in this regard the main contribution of our study is to link these two lines of research by verifying whether those banks characterized by higher levels of efficiency and productivity change have a higher shareholder value to measure changes in efficiency and productivity we use the malmquist nonparametric technique which is calculated from data envelopment analysis dea linear programming approach the malmquist total factor productivity index enables separation of the catching up effect i e changes over time in technical efficiency from technological change i e the shift of best practice frontier over time due to technological progress our results for a sample of listed spanish banks in the period 2000 to 2004 confirm that those banks with higher efficiency and productivity changes have a higher

regional allocation of co2 emissions allowance over provinces in china by 2020 the mitigation efforts of china are increasingly important for meeting global climate target since the rapid economic growth of china has led to an increasing share in the world s total co2 emissions this paper sets out to explore the approach for realizing china s national mitigation targets submitted to the unfccc as part of the copenhagen accord that is to reduce the intensity of co2 emissions per unit of gdp by 40 45 by 2020 as well as reducing the energy intensity and increasing the share of non fossil fuel consumption through regional allocation of emission allowance over china s provinces since the realization of china s mitigation target essentially represents a total amount emission allowance allocation problem an improved zero sum gains data envelopment analysis optimization model which could deal with the constant total amount resources allocation is proposed in this study by utilizing this model and based on several scenarios of china s economic growth co2 emissions and energy consumption a new efficient emission allowance allocation scheme on provincial level for china by 2020 is proposed the allocation results indicate that different provinces have to shoulder different mitigation burdens in terms of emission intensity reduction energy intensity reduction and share of non fossil fuels increase

allocating fixed costs and resources via data envelopment analysis abstract in this paper we show that data envelopment analysis dea can be viewed as maximising the average efficiency of the decision making units dmus in an organisation building upon this we present dea based models for a allocating fixed costs to dmus and b allocating input resources to dmus simultaneous to allocating input resources output targets are also decided for each dmu numeric results are presented for a number of example problems taken from the literature

the adjusted spherical frontier model with weight restrictions abstract this paper presents the asfm lp model a parametric data envelopment analysis dea model for allocating resources commonly called inputs this model considers that a fair allocation of inputs is one that maximizes the dea ccr efficiencies of the decision making units dmus the main assumption of the asfm lp is the predefined spherical shape of the efficiency frontier we have demonstrated that our method extends the existing parametric model asfm to allow the introduction of weight restrictions which has great importance in practical applications of dea numeric examples are presented to show the application of the method

allocation of carbon dioxide emission permits with the minimum cost for chinese provinces in big data environment abstract the environmental problem and global warming have drawn many governments attention in order to solve the problem reasonable allocation of carbon dioxide emission cde permits is an important issue because it sets the targets for the decision making units to control the amount of carbon dioxide emission in this paper a new data envelopment analysis approach is proposed to evaluate the efficiency of decision making units in a big data environment and set the carbon dioxide emission permits for each decision making unit with the minimum costs comparing with the previous works on carbon dioxide emission permits allocation we firstly allocate the amount of carbon dioxide emission permits taking account into the cost each decision making unit should take to achieve its target moreover two kinds of linear programming problems are developed under efficiency invariance principle and efficiency changeability principle respectively as the allocation of carbon dioxide emission permits causes the minimum cost the decision making units are more easily to accept the allocation alternative finally our approach is applied to the carbon dioxide emission permits allocation among chinese provinces the results show that the approach can well allocate the cde permits with the minimum cost and also reveal the relationship between the marginal cost of reducing cde permits and the adjustment on them

a quick and easy method for estimating switching costs abstract i develop and test a method for a quick and easy calculation of consumer switching costs among brands in a given industry the theory developed and tested here maps observed brands prices and market shares onto the switching costs which deter a consumer of a specific brand from switching to any other competing brand then i demonstrate how users switching costs can be directly calculated in two different industries a the israeli cellular phone market and b the finnish market for bank deposits this calculation method can be used to calculate switching costs in a wide variety of other industries such as airlines health services computers software telecommunications and more

restricted reallocation of resources abstract this paper investigates restricted reallocation among individual units when the efficiency index is calculated for an aggregated unit in the dea framework moreover we address the question of the optimal reallocation flow the optimal flow of inputs among the individual units subject to given transfer costs restrictions on reallocation can be given by the maximum cost the managers are willing to pay in the framework of full reallocation there is a trade off between the maximum allowed reallocation cost and the highest efficiency the aggregated unit can achieve the final goal is to present a way to generate efficiency gain functions that show this trade off

strategic planning of optimal resource allocation in response to global financial crisis a study of international tourist hotels this study is principally designed to examine the changes in the efficiency effective resource allocation and future operation strategies of taiwan s international tourist hotel in global economic downturn at first we set up critical input and output factors and construct an assessment model using data envelopment analysis dea for analysis of relative efficiency further we apply an allocative efficiency model for additional considerations of each input cost and analyse proper and effective resource allocation finally there are significant changes in overall efficiency of international tourist hotels under global financial crisis we can also reach an effective allocation of the overall resources in such cases lowering cost has become a key issue for sustainable operation of international tourist hotel finally the greatest contribution of this study is to further classify the competitiveness and optimal cost allocation of taiwan s international tourist hotels into seven categories based on the

measuring technical efficiency and productivity growth a comparison of sfa and dea on norwegian grain production data this article compares data envelopment analysis and stochastic frontier analysis to assess efficiency and productivity growth of norwegian grain producers previous studies have dealt with either one of them and less of both for the assessment of productivity growth or regress malmquist productivity indices are derived from both approaches the data cover a 10 year period we find consistency between the approaches to the extent that 1 there are potentials for efficiency improvements but the magnitudes depends on the model applied and by segmentation of the data set 2 there has been a productivity improvement in the sector on average in the interval 30 38 in the period studied and 3 technical change has had the greatest impact on productivity indicating that producers have a tendency to catch up with the front runners in general policy makers are warned not to be indifferent with respect to the approach used for efficiency and productivity measurement as these may give different results

income and democracy existing studies establish a strong cross country correlation between income and democracy but do not control for factors that simultaneously affect both variables we show that controlling for such factors by including country fixed effects removes the statistical association between income per capita and vari ous measures of democracy we present instrumental variables estimates that also show no causal effect of income on democracy the cross country corre lation between income and democracy reflects a positive correlation between changes in income and democracy over the past 500 years this pattern is con sistent with the idea that societies embarked on divergent political economic development paths at certain critical junctures jel d7 e 1