the price of pollution a dual approach to valuing so2 allowances under the 1990 clean air act amendments a market based scheme to reduce u s sulfur dioxide emissions takes effect in 1995 indications are that participation in the market will be light and allowance prices will be lower than was once expected using an output distance function approach for wisconsin coal burning utility plants we estimate the shadow price of so2abatement which should approximate the allowance price the estimated average shadow price is above the prices at which the few observed allowance trades have occurred wisconsin s stringent state so2legislation may explain a portion of this divergence

analysts forecasts as proxies for investor beliefs in empirical research abstract we analyze how analysts forecasts relate to investor beliefs and describe the implications of these relations for price and volume reactions to earnings surprises we show that dispersion among forecasts does not fully capture investor uncertainty we also show how the relations between market reactions and forecast properties differ under the alternative assumptions of exogenous and endogenous private information acquisition finally the analysis suggests refined tests for volume reactions at the time of an announcement our results indicate that the model is useful for understanding and interpreting empirical work and developing empirical tests of market reactions to announcements

one security many markets determining the contributions to price discovery when homogeneous or closely linked securities trade in multiple markets it is often of interest to determine where price discovery the incorporation of new information occurs this article suggests an econometric approach based on an implicit unobservable efficient price common to all markets the information share associated with a particular market is defined as the proportional contribution of that market s innovations to the innovation in the common efficient price applied to quotes for the thirty dow stocks the technique suggests that the preponderance of the price discovery takes place at the new york stock exchange nyse a median 92 7 percent information share although most of the classic paradigms in market microstructure concern a security that trades in a single centralized market such situations are becoming increasingly rare in practice fragmentation the dispersal of trading in a security to multiple sites has emerged as a dominant institutional trend this process is of concern to financial economists and regulators because price information and price discovery the impounding of new information into the security price arguably the most important products of a security market have many attributes of public goods as the process of fragmentation accelerates it may be important to determine where the price information and price discovery are being produced 1 this paper suggests a practical econometric approach to this problem the technique is illustrated with an application to u s equity markets many stocks listed on the new york stock exchange nyse trade concurrently on the regional exchanges and the national association of securities dealers national market system nasd nms since a share of ibm stock is the same security whether purchased on the midwest or pacific exchange this is a particularly clear instance of multiple markets nevertheless the expres

assessing regional environmental efficiency in china with distinguishing weak and strong disposability of undesirable outputs abstract china has developed a remarkable economic growth in the past 30 years by accompanying with undesirable outputs the assumptions of weak and strong of undesirable outputs have become the focus discussion in data envelopment analysis dea models to have a comprehensive environmental efficiency measurement this paper proposes three dea models considering weak disposability strong disposability and distinguishing weak and strong disposability of undesirable outputs respectively we further combine with the malmquist luenberger productivity index to assess the environmental efficiency and the dynamic change trend of 30 provinces in china from 2005 to 2014 the results show that distinguishing technical features of undesirable outputs makes a significant difference to final environmental efficiency score at different regions the environmental efficiency of the whole nation however does not show any increasing trend during the ten years enhancing environmental efficiency of central and west area is an urgent task for chinese government the change trend of malmquist luenberger productivity index and technological change shows a similar shape technical progress is the main driving force to enhance the environmental efficiency relevant suggestions are presented for improving the regional environmental efficiency in china in the future

directional shadow price estimation of co2 so2 and nox in the united states coal power industry 1990 2010 abstract shadow prices also termed marginal abatement costs provide valuable guidelines to support environmental regulatory policies for co 2 so 2 and no x the key contributors to climate change this paper complements the existing models and describes a directional marginal productivity dmp approach to estimate directional shadow prices dsps which present substitutability among three emissions and are jointly estimated we apply the method to a case study of co 2 so 2 and no x produced by coal power plants operating between 1990 and 2010 in the united states we find that dsp shows 1 1 times the maximal shadow prices estimated in the current literature we conclude that estimating the shadow prices of each by product separately may lead to an overestimation of the marginal productivity and an underestimation of the shadow prices

nonparametric production technologies with weakly disposable inputs abstract in models of production theory and efficiency analysis the inputs and outputs are assumed to satisfy some form of disposability in this paper we consider the assumption of weak input disposability it states that any activity remains feasible if its inputs are simultaneously scaled up in the same proportion as suggested in the literature the shephard technology incorporating weak input disposability could be used to evaluate the effect of input congestion we show that the shephard technology is not convex and therefore introduces bias in evaluation of congestion to address this we develop an alternative convex technology whose use in the evaluation of congestion removes the noted bias we undertake a further axiomatic investigation and obtain a range of production technologies all of which exhibit weak input disposability but are based on different progressively relaxed convexity assumptions apart from the evaluation of input congestion such technologies should also be useful in applications in which some inputs are closely related or are overlapping and therefore satisfy only the weak input disposability assumption incorporated in the new models

determinants of technical efficiency in the bioenergy industry in the eu28 region most previous bioenergy industry research has concentrated on how to implement a certain level of yield however few articles have paid attention to rational resource allocation to increase efficiency to enhance bioenergy production through proper use of available resources this study identified the effects of internal country specific and external macroeconomic determinants of technical efficiency level in the bioenergy industry for the eu28 region the study was established based on a conceptual framework suggesting a correlation between input use and level of technical efficiency a panel data analysis method was employed for the analysis and a panel regression analysis framework based on the fixed effect fe model and random effect re model was used to examine the potential determinants of technical efficiency level in the bioenergy industry for the eu28 region for the period between 1990 and 2013 the results indicate that the technical efficiency level of the bioenergy industry in developing countries is higher than in developed countries the empirical findings also suggest that technical efficiency has greater influence on pure technical efficiency levels capital input labor input gross domestic product inflation and interest rate significantly affected the technical efficiency of the bioenergy industry in the developing and developed countries in the eu28 region during the period of this study the findings clearly call for regulators and decision makers to review the technical efficiency level of the bioenergy industry within the eu28 region this study also provides better information and guidance to the boards of the bioenergy industry as they need to have a clear understanding of the influence technical efficiency has on bioenergy production performance moreover the results of this study have implications for investors who focus mainly on profits from their investments

estimating the gains from trade in limit order markets we present a method to estimate the gains from trade in limit order markets and provide empirical evidence that the limit order market is a good market design using observations on order submissions and execution and cancellation histories we estimate both the distribution of traders unobserved valuations for the stock and latent trader arrival rates we use the resulting estimates to compute the current gains from trade the gains from trade in a perfectly liquid market and the gains from trade with a monopoly liquidity supplier the current gains are 90 of the maximum gains and 150 of the monopolist gains the majority of the world s stock exchanges operate some form of a limit order market a feature of good market design is that traders realize most of the potential gains from trade we develop a method for identifying and estimating the gains from trade in a limit order market and apply our method to a sample from a particular limit order market the vancouver stock exchange vse we find that gains from trade in the vse are approximately 90 of the gains from trade in a perfectly liquid market and approximately 50 more than gains from trade in a market in which liquidity is supplied by a profit maximizing monopolist our results therefore provide new empirical evidence that the limitorder market is a good market design a large number of experimental studies document that the gains from trade in a double auction are close to the maximum gains from trade see for example cason and friedman 1996 or the survey by holt 1995 similarly our empirical results show that the limit order market a market design similar to

mixed strategy nash equilibrium in data envelopment analysis abstract in a typical productivity analysis the efficiency measure assumes a perfectly competitive market with an endogenous price and depends on a fixed orientation with respect to a specific firm such as an input oriented measure when an imperfectly competitive market affects the endogenous price however firms may take a mixed strategy approach to address uncertain competition this study proposes a mixed strategy measure msm we construct a model embedded with a data envelopment analysis dea framework that identifies the mixed strategy nash equilibrium in the first stage and considers a probabilistic and multi oriented efficiency measure in the second stage based on the environmental regulation and a typical nash measure we create two indices environmental consistency and strategic consistency to support the business roadmap development we validate the proposed msm with an empirical study of china s electric power industry the results find that the proposed msm complements the nash measure and the msm model successfully supports our two managerial strategies invest in capacity expansion or develop emission abatement technology

price formation and liquidity in the u s treasury market the response to public information the arrival of public information in the u s treasury market sets off a two stage adjustment process for prices trading volume and bid ask spreads in a brief first stage the release of a major macroeconomic announcement induces a sharp and nearly instantaneous price change with a reduction in trading volume demonstrating that price reactions to public information do not require trading the spread widens dramatically at announcement evidently driven by inventory control concerns in a prolonged second stage trading volume surges price volatility persists and spreads remain moderately wide as investors trade to reconcile residual differences in their private views how do financial markets form prices and provide liquidity when information arrives efforts to address this issue have led to an extensive microstructure literature on equity markets and to a lesser extent on the foreign exchange fx market relatively little work has focused on the u s treasury market however in spite of its importance in its own right and the advantages it offers as an alternative testing ground for microstructure hypotheses

impact of emission regulation policies on chinese power firms reusable environmental investments and sustainable operations abstract this study investigates the impact of emission regulation policies i e emergency response policy versus long term protection policy on the investment levels of reusable environmental facilities e g desulphurization pumps used by coal fired power plants in china to improve their sustainable operations to set up a baseline for further analysis and compare the impact of emission regulation policies an improved framework for performance evaluation of sustainable operations is developed in this study by integrating classical data envelopment analysis dea and exponential learning curve the proposed mathematical models are applied into an empirical study of 27 major million kw coal fired power plants in mainland china empirical analysis shows that the interactions among official emission regulation policies reusable environmental investment rei and sustainable operations management of coal fired power plants in china several policy suggestions are provided for power firm managers and policy makers in china specifically we suggest that the chinese government should implement long term protection policies in less developed regions instead of emergency response policies

market based empirical research in accounting a review interpretation and extension a decade and a half of the most concerted and ambitious research effort in accounting history is evaluated here it is the search into the relationship between publicly disclosed accounting information and the consequences of the use of this information by the major group of usersequity investors as such consequences are reflected in characteristics of common stocks traded in major exchanges this research effort known as market based accounting research mbar obtained its impetus from major developments in finance theory during the late 1950s and early 1960s these were the portfolio selection theory and its offspring the capital asset pricing model capm and the concept of informationally efficient capital markets ecm subsequent developments in information economics agency theory and optimal incentive signaling models were quickly incorporated into mbar while the impetus to this line of research came from other disciplines accounting was not only a beneficiary but also to a modest extent a benefactor mbar is relevant to the study of capital market efficiency the capm information economics and regulation this contribution distinguishes mbar from most accounting areas whose contributions to other disciplines are negligible in

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

how much climate policy has cost for oecd countries abstract high economic cost of climate policy has attracted critical debate since the kyoto protocol however reliable empirical evidence of the abatement cost of green house gases across countries remains scant in this study we estimate the average yearly green house gas abatement costs per capita for a panel of 28 oecd countries in years 1990 2015 the marginal abatement costs are estimated using a novel data driven approach based on convex quantile regression compared to traditional frontier estimation methods the quantile approach takes into account a broader set of abatement options and is more robust to inefficiency noise and heteroscedasticity in empirical data the comparison of oecd countries shows that the actual abatement cost per capita has been very modest much lower than predicted in the late 1990s this result has profound policy implications calling for more ambitious climate change mitigation strategy in the future

nonparametric productivity analysis with undesirable outputs reply hailu and veeman 2001 henceforth hv use both primal nonparametric dea and dual nonparametric frontiers that include undesirable outputs the dual frontier provides the tightest nonparametric outer bound to the unknown underlying technology while the dea frontier provides the tightest innerbound to the technology varian banker and maindiratta chavas and cox all previous nonparametric analyses incorporating undesirable outputs had been based on the dea model and hv highlighted the limitations of this one sided approach by confronting the results from the dea model with those from the dual model the dea model was found to be very poor in terms of discriminating between observations as indicated in hv this is a problem that has also been noted by several other researchers in the conventional productivity literature before i provide specific responses to some of the comments by fare and grosskopf fg i would like to make the following general remarks first hv use input based measures and a variable returns to scale formulation of the dea model however fg support their arguments using output possibility frontiers output based measures and constant returnsto scaleassumptionsthatwerenotusedinhv it is well known that a dea model with constant returns to scale has different characteristics and provides different results compared to those with variable returns second and more importantly it should be noted that the dea model with constant returns to scale does not qualify as the inner nonparametric bound that is the subject of hv s article third the major difference between the weakly disposable and hv dea frontiers becomes irrelevant for measures of efficiency that explicitly penalize extrabadoutput infg sfigure1 forexample the area east of line bc is irrelevant in the hv

so what orders do informed traders use we present a simple glosten milgrom type equilibrium model to analyze the decision of informed traders on whether to use limit or market orders we show that even after incorporating an order s price impact not only may informed traders prefer to use limit orders but the probability that they submit limit orders can be so high that limit orders convey more information than market orders we further show that the horizon of the private information is critical for this decision and is positively related to the use of limit orders our empirical analysis using torq suggests that informed traders do prefer limit orders to market orders and that limit orders are indeed more informative our model is in contrast to the literature that assumes that informed traders use market orders only and the literature that examines the limit order versus the market order decision of uninformed traders

shadow pricing of undesirable outputs in nonparametric analysis abstract for three decades a growing interest in the modeling of desirable and undesirable outputs has led to a theoretical and methodological debate in the nonparametric literature on production technology and efficiency the first main discussion is about the way of modeling bad undesirables as inputs or outputs or by transformation functions the second debate concerns the implications of the weak disposability assumption in the modeling of bad outputs in particular the possibility of assigning unexpected signs to shadow prices of bad outputs in addition we point out a current error in the modeling of weak disposability under a variable returns to scale technology in this paper we introduce a hybrid model to ensure the economically meaningful jointness of good and bad outputs while constraining shadow prices of bad outputs to their expected sign we argue that it is a sound compromise to model undesirable outputs with a meaningful primal dual economic interpretation finally we propose an extension to define shadow prices for undesirable outputs following the law of one price loop rule

multilateral productivity comparisons with undesirable outputs in a recent paper in this journal caves christensen and diewert i982 hereafter ccd derive what they term multilateral superlative indexes for use in the comparison of output input and productivity across economic entities the indexes derived are distinguished both by transitivity and by a high degree of characteristicity a term introduced by dreschler i 973 to refer to the degree to which the weights used in a comparison are specific to the observations being compared though the indexes are presented with the application to multicountry comparisons of output input and productivity foremost in mind the authors note that they may be useful in a number of other contexts as well i e firms and industries time series and pooled time series and cross section all of the applications mentioned or implied however have this in common they involve the comparison of productive entities all of whose outputs are sold for positive prices this is not surprising of course since most products with which economists are concerned possess this characteristic however it does render incomplete or potentially misleading the comparison of productive entities which produce significant amounts of undesirable outputs such as water and air pollution since the list of such entities is rather long and includes industries critical to many national and regional economies e g chemicals paper petroleum refining copper and steel the omission of this factor from consideration may be a matter of some importance 2 consider for example a comparison of the productivity of the steel industries

environmental efficiency analysis of power industry in china based on an entropy sbm model chinese national natural science fund 71073040 710201139 71273075 humanities and social science fund of the ministry of education 09yjc790061

the technology gap and efficiency measure in wec countries application of the hybrid meta frontier model this study develops the hybrid meta frontier dea model for which inputs are distinguished into radial inputs that change proportionally and non radial inputs that change non proportionally in order to measure the technical efficiency and technology gap ratios tgr of four different regions asia africa america and europe this paper selects 87 countries that are members of the world energy council from 2005 to 2007 the input variables are industry and population while the output variances are gross domestic product gdp and the amount of fossil fuel co2 emissions the result shows that countries efficiency ranking among their own region presents more implied volatility in view of the technology gap ratio europe is the most efficient of any region but during the same period asia has a lower efficiency than other regions finally regions with higher industry or gdp might not have higher efficiency from 2005 to 2007 and higher co2 emissions or population also might not mean lower efficiency for other regions in addition brazil is not oecd member but it is higher efficiency than other oecd members in emerging countries case oecd countries are better efficiency than non oecd countries and europe is higher than asia to control co2 emissions if non oecd countries or asia countries could reach the best efficiency score they should try to control co2 emissions

the if how and where of assessing sustainable resource use in today s economies those who sustain the burden of resource use those using resources and those providing resources are not necessarily identical with this separation come three fundamental but interrelated decision making perspectives on the sustainability assessment of resource use these three perspectives correspond to the three assessment questions if how and where resources should be used most sustainability assessment approaches do not make their underlying assessment perspectives explicit the goal of this paper is to provide structure and organisation to existing approaches this structuring suggests that any discussion on the appropriateness and validity of different assessment approaches and their results must take into account the underlying assessment perspective the three questions if how and where resources should be used correspond to the requirements of a sustainable resource use while existing assessments do address the three questions in isolation it is all the more important that the limitations and implications of focusing on a single perspective are spelled out as the main contribution the paper distinguishes the rationale of each assessment perspective and develops on their interlinkages and thus provides the context and structure for a more informed and fruitful debate on the assessment of sustainable resource use

meta data envelopment analysis finding a direction towards marginal profit maximization abstract this paper discusses a new meta dea approach to solve the problem of choosing direction vectors when estimating the directional distance function the proposed model emphasizes finding the direction for productivity improvement rather than estimating the score of efficiency focusing on planning over evaluation in fact the direction towards marginal profit maximization implies a step by step improvement and wait and see decision process which is more consistent with the practical decision making process an empirical study of u s coal fired power plants operating in 2011 validates the proposed model the results show that the efficiency measure using the proposed direction is consistent with all other indices with the exception of the direction towards the profit maximized benchmark we conclude that the marginal profit maximization is a useful guide for determining direction in the directional distance function

alternative measures of environmental technology structure in dea an application abstract the nonparametric data envelopment analysis dea literature on environmental efficiency ee considers handling undesirable outputs in two alternative ways either in their original forms with the assumption that these are weakly disposable or in various translated forms with the assumption that these are strongly disposable choosing a particular approach implies adoption of a particular distinct treatment of undesirable outputs and hence yields a distinct set of ee estimates to explore the effects of the interplay between choice of ee measure and specific treatment of undesirable outputs this paper attempts to generate all possible output oriented ee measures based on these two alternative approaches furthermore guided by the argument that slacks are important in identifying properly the efficiency behavior of firms it proposes two new alternative slacks based formulations of ee one based on the range directional model and the other on the generalized proportional distance function model using a confected data set of ten firms and a real life data set of 22 oecd countries our empirical analysis reveals that first ee scores are influenced not only by the choice of disposability assumption for undesirable outputs but also by the way these are treated in various translated forms second the choice of any particular treatment of undesirable outputs plays no role in influencing the rankings of firms and third our two new alternative ee formulations are at the least viable alternatives to existing ee measures in ranking firms according to their eco efficiency behavior

efficiency evaluation and dynamic evolution of china s regional green economy a method based on the super pebm model and dea window analysis abstract given the current circumstances of increasingly serious resource consumption and environmental pollution the development of china s green economy will profoundly impact the nation s future economic prosperity and even global economic development based on panel data from 2008 to 2017 this paper measures the green economic efficiency gee of chinese regions and analyzes its dynamic evolution using time series based on a novel data envelopment analysis dea model using environmental dea techniques this paper introduces the super pebm ebm based on pearson correlation coefficient model which is developed from the epsilon based measure ebm model and combines super pebm with the window analysis method firstly environmental dea technology is used to analyze gee at the regional level in china secondly based on panel data the window analysis method is used to analyze the regional differences of china s regional gee finally the development trend of china s regional gee in different time windows is obtained by combining the super pebm model and window analysis the empirical analysis results using panel data for regions in china from 2008 to 2017 show that 1 the overall gee of china is slowly increasing and the regional differences are still significant and 2 the improvement of gee can help to reduce regional differences

regional environmental efficiency in china an empirical analysis based on entropy weight method and non parametric models abstract while vigorously developing its economy china is attaching more and more importance to environmental protection and pollution control in different regions of china however there are great differences in economic development and the degree of environmental pollution in this study we use the entropy weight method to calculate the pollution indexes of different regions from 2015 to 2017 then we evaluate the chinese regional environmental efficiency based on a new non parametric frontier model moreover a new set of ranking interval models that treat the undesirable outputs as inputs is proposed to further describe the regional disparities of the environmental efficiency between different regions with robustness finally we conduct an empirical analysis by combining the stepwise regression and principal component analysis to identify the most influential variables that may affect regional environmental efficiency according to the results the southeast region of china performs best in environmental efficiency followed by the northeast region then the southwest region and the worst is the northwest region for managerial implications we find that the investment of high education and the development of the it industry can significantly increase regional environmental efficiency more importantly the results of the principal component analysis provide the government with a set of variables to strategically select the most appropriate strategy

technical efficiency and impact of environmental regulations in farrow to finish swine production in taiwan this article demonstrates how technical efficiency and the impact of environmental regulations of taiwanese farrow to finish swine production can be estimated in the presence of undesirable outputs the issue of measuring technical efficiencies while considering undesirable outputs has been addressed by past studies but the proper method of including undesirable outputs has always been a subject of debate this article develops a data envelopment analysis dea based model that includes undesirable outputs the technologies of desirable output production and undesirable output control are considered simultaneously this allows one to transform undesirable output into desirable output whereby a traditional shephard distance function can be used to measure technical efficiencies an approach to measuring the impacts due to environmental regulations is then derived empirical results show that larger farms are more technically efficient than small sized farms but no clear conclusions can be reached for the measures of regulatory impact among farms with different sizes on average the sample farms incurred an opportunity cost due to environmental regulations equivalent to 9 8 of market value opportunity costs rise with efficiency

nerlovian revenue inefficiency in a bank production context evidence from shinkin banks the paper further advances the contemporary methodological and empirical research on bank efficiency we introduce a bank two stage network revenue decomposition analysis based on the slack based directional inefficiency measurement framework by building upon the approaches of epure and lafuente 2015 fukuyama and weber 2009 2010 fukuyama and matousek 2017 and fare fukuyama grosskopf and zelenyuk 2015 2016 we apply the model on the segment of japanese financial institutions shinkin banks we examine the efficiency performance of shinkin banks during the period from march 2007 to march 2015 this covers the recent years after the turmoil in the us subprime residential mortgage market which started early 2007 the applied innovative framework is particularly suitable for this type of banks since the financing of their business activities is mainly dependent on the different types of deposits that the proposed model takes into consideration

measuring the performance of thermal power firms in china via fuzzy enhanced russell measure model with undesirable outputs abstract thermal power has accounted for the major part of the electricity generation over recent several decades in china it plays an important role in supporting china s economic development while it also brings great pressure to the environment protection because of a large amount of pollution generated during its production in order to solve or alleviate the environmental problem caused by thermal power firms efficiency evaluation is the first important step as thermal power firm is a complex system with multiple inputs and multiple outputs usually including fuzzy data and undesirable outputs in the productions in this paper we build an integrated enhanced russell measure model based on data envelopment analysis for evaluating the performance of decision making units in the presence of the undesirable outputs in fuzzy circumstance then this new model is applied to analyze the environmental performance and provide the benchmarks for the thermal power firms in china which can guide the decision makers to make suitable future production plans for improving their performance

non parametric productivity analysis with undesirable outputs an application to the canadian pulp and paper industry this article extends the chavas cox approach to non parametric analysis by incorporating undesirable outputs to provide a more complete representation of the production technology inner and outer non parametric technology bounds are constructed the methods are illustrated with application to time series data for the canadian pulp and paper industry conventional measures that ignore changes in pollutant outputs underestimate true productivity growth further there is a large gap between estimates generated with reference to inner and outer bounds to the technology suggesting that researchers need to be aware of the limitations of results derived from analyses relying only on dea methods copyright 2001 oxford university press

distinguishing operational performance in power production a new measure of effectiveness by dea measuring the efficiency of power plant systems requires capturing fluctuations in the level of sales to customers as well as accounting for the effects of regulatory caps on emissions this study proposes a novel effectiveness measure considering desirable outputs and undesirable outputs via data envelopment analysis dea the new measure complements typical efficiency measures we test the validity of the proposed measure with an empirical case study of the fifty u s states and the district of columbia we find that the current interregional electricity transmission plan increases 8 56 in effectiveness for the emissions control we suggest a 9 8 reduction in electricity generation towards an effective production frontier we conclude that the proposed effectiveness measure s ability to distinguish sales and regulation effects from typical productive efficiency eliminates the bias often found in currently used measures

multilateral productivity comparisons when some outputs are undesirable a nonparametric approach multilateral productivity comparisons of firms producing multiple outputs some of which are undesirable are obtained by making two modifications to the standard farrell approach to efficiency measurement the restriction that production technology satisfy strong disposability of outputs is relaxed to allow for the fact that undesirable outputs may be freely disposable and the efficiency measures are modified to allow for an asymmetric treatment of desirable and undesirable outputs performance measures that satisfy these requirements are calculated as solutions to programming problems the methodology is applied to a sample of mills producing paper and pollutants

accounting for externalities and disposability a directional economic environmental distance function abstract the existence of positive and negative externalities ought to be considered in a productivity analysis in order to obtain unbiased measures of efficiency in this research we present an additive style data envelopment analysis model that considers the production of both negative and positive externalities and permits a limited increase in input utilisation where relevant the directional economic environmental distance deed function is a unified approach based on a linear program that evaluates the relative inefficiency of the units under examination with respect to a unique reference technology we discuss the impact of disposability assumptions in depth and demonstrate how different versions of the deed model improve on models presented in the literature to date

congestion measurement for regional industries in china a data envelopment analysis approach with undesirable outputs abstract the industry in china has been developing extensively in the last few decades large investments in china s industry may cause congestion because congestion is a widely observed economic phenomenon in such a scenario in order to know the performance and allocate resources well it is necessary for the chinese government to measure congestion of the industry many scholars have studied this topic by means of data envelopment analysis dea however previous studies only pay attention to the framework of desirable outputs in fact undesirable outputs often accompany desirable outputs in production thus in this study a new approach for measuring congestion with undesirable outputs is proposed and applied to analyzing congestion of the industry in 31 administrative regions of china the results show that five regions have congestion in their industry in 2010 besides the regions located in the east of the country perform the best in ecological efficiency followed by regions in central and west china based on these findings this paper proposes some political schemes to improve regional industrial efficiency

limit orders depth and volatility evidence from the stock exchange of hong kong we investigate the role of limit orders in the liquidity provision in a pure orderdriven market results show that market depth rises subsequent to an increase in transitory volatility and transitory volatility declines subsequent to an increase in market depth we also examine how transitory volatility affects the mix between limit orders and market orders when transitory volatility arises from the ask bid side investors will submit more limit sell buy orders than market sell buy orders this result is consistent with the existence of limit order traders who enter the market and place orders when liquidity is needed

a conditional directional distance function approach for measuring regional environmental efficiency evidence from uk regions abstract this paper by using conditional directional distance functions as introduced by simar and vanhems j econometrics 166 2012 342 354 modifies the model by fare and grosskopf eur j operat res 157 2004 242 245 and examines the link between regional environmental efficiency and economic growth the proposed model using conditional directional distance functions incorporates the effect of regional economic growth on regions environmental efficiency levels the results from uk regional data reveal a negative relationship between regions gdp per capita and environmental inefficiency up to a certain gdp per capita level after that level it appears that the relationship becomes positive as an overall result the regional environmental inefficiency gdp per capita relationship appears to have a u shape form

who is afraid of reg fd the behavior and performance of sell side analysts following the sec s fair disclosure rules we examine regulation fd s impact on the accuracy and dispersion of sell side analysts earnings forecasts using a large sample of quarterly forecasts made over a nearly 10 year period surrounding fd s adoption we uncover two main sets of findings first individual and consensus forecasts become less accurate post fd particularly for early forecasts and for smaller companies second forecast dispersion increases post fd this effect is stronger for early forecasts and has increased with the passage of time these results which are quite robust to alternative empirical methodologies suggest that there has been a reduction in both selective guidance and forecast quality post fd

nonparametric analysis of technical and allocative efficiencies in production in this paper we extend varian s 1984 nonparametric production analysis to situations when the set of observed output input and price data is not consistent with profit maximization for at least one firm in such cases varian s results imply that no production possibility set containing all observations can rationalize the observed data we identify each firm whose performance given the prices faced by it may be found consistent with profit maximization relative to some production possibility set containing all observed output input vectors we show that the set 4 of all such firms can itself be weaklv rationalized in the sense that there exists a closed convex and monotone production possibility set that contains all the observations and relative to which the performance of all the firms in the set 8o is consistent with profit maximization given their respective prices by definition firms not included in this largest set d of efficient observations unambiguously deviate from profit maximizing behavior for any production possibility set containing all observations we follow farrell 1957 and analyze these deviations into technical and allocative efficiency measures considering as admissible all closed convex and monotone production possibility sets relative to which the performance of each firm in the set g remains consistent with profit maximization we then describe nonparametric methods for determining the tightest upper and lower bounds on the technical allocative and aggregate efficiency measures evaluated relative to all such admissible production possibility sets it is seen that the tightest upper bound on the technical efficiency measure is the same as the value computed by the nonparametric efficiency evaluation technique known as data envelopment analysis thus establishing a link between this literature in management science operations research and the nonparametric production analysis in economics

proposal for a sustainability evaluation framework for bioenergy production systems using the mesmis methodology abstract the bioenergy economy promises to stimulate the local economic growth and improve the welfare of people living in rural areas to accomplish this there is global consensus on the sustainability indicators that must be evaluated in bioenergy production systems bpss however the utilization of these indicators has several constraints such as their interpretation and application in developing countries in addition to the inherent complexity of bpss here we propose a sustainability framework applicable to bpss first we use the framework for assessing the sustainability of the natural resource management systems mesmis methodology to define a bps and derive economic environmental and social indicators after that we use the distance to target weighting method to describe a sustainability gradient of five levels for each indicator finally we use the sustainability gradient to normalize the indicators and thereby weight and aggregate the indicators into a sustainability index si after the application of the mesmis methodology a bps was defined as three interrelated subsystems 1 the biomass subsystem dedicated to the feedstock supply 2 the transformation subsystem dedicated to convert the feedstock into bioenergy and 3 the social subsystem that provides the workforce this sustainability framework allows comparing two or more bpss in cross sectional and longitudinal studies a total of 7 economic indicators 10 environmental indicators and 11 social indicators were described in terms of a sustainability gradient the sustainability gradient converts the indicators to comparable units then we propose to aggregate these indicators into three subindices by evaluated area an economic subindex an environmental subindex and a social subindex each subindex ranges from 0 for an unsustainable bps to 5 for a highly sustainable bps the si integrates these three subindices giving the same relevance to the economic environmental and social areas

self selection and analyst coverage this paper examines the relation between analysts information about a stock s future prospects and their decisions to issue investment recommendations and earnings forecasts for that stock and the implications of this relation for the observed distribution of recommendations and earnings forecast errors articles in the financial press have long argued that analysts are reluctant to issue unfavorable investment information perhaps because they fear jeopardizing potential investment banking

differential interpretation of public signals and trade in speculative markets most models of trade in speculative markets assume that agents interpret public information identically we provide empirical evidence on the relation between the volume of trade and stock returns around public announcements and we argue that the evidence is inconsistent with this assumption we then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume return relation then we test the standard model of belief revision underlying most models of trade using stock brokerage research analysts earnings forecasts the hypthesis of identical interpretations seems inconsistent with the forecast revisions in these data

congestion measurement in nonparametric analysis under the weakly disposable technology abstract congestion is a widely observed economic phenomenon where outputs are reduced due to excessive amount of inputs the previous approaches to identify congestion in nonparametric analysis only consider desirable outputs in the production process undesirable outputs are usually jointly produced with desirable outputs in this paper we propose an approach for measuring congestion in the presence of desirable and undesirable outputs simultaneously the proposed approach can discriminate between the congested dmus and the truly efficient dmus which are all efficient according to the scores calculated by the directional distance function finally an empirical example is used to illustrate the approach

estimating the shadow prices of so2 and nox for u s coal power plants a convex nonparametric least squares approach abstract weak disposability between outputs and pollutants defined as a simultaneous proportional reduction of both outputs and pollutants assumes that pollutants are byproducts of the output generation process and that a firm can freely dispose of both by scaling down production levels leaving some inputs idle based on the production axioms of monotonicity convexity and weak disposability we formulate a convex nonparametric least squares cnls quadratic optimization problem to estimate a frontier production function assuming either a deterministic disturbance term consisting only of inefficiency or a composite disturbance term composed of both inefficiency and noise the suggested methodology extends the stochastic semi nonparametric envelopment of data stoned described in kuosmanen and kortelainen 2011 applying the method to estimate the shadow prices of so 2 and no x generated by u s coal power plants we conclude that the weak disposability stoned method provides more consistent estimates of market prices

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

the effect of a rating downgrade on outstanding commercial paper diamond 1991 argues that a firm s reputation determines whether it borrows directly or through an intermediary we test the diamond model by examining the quantity response of commercial paper issued by bank holding companies to a rating downgrade from 1986 to 1991 cumulative abnormal declines averaged 6 69 percent in the first two weeks after the downgrade and 11 05 percent in the subsequent 12 weeks in contrast to commercial paper issued by bank holding companies large cds issued by affiliated banks did not change significantly in the period around a downgrade suggesting that deposit insurance may have removed market discipline from the cd market the objective of this study is to test diamond s 1991 theory of corporate capital structure in which a firm s reputation determines whether it borrows directly or through an intermediary in diamond s model a firm without an established reputation will borrow through and be monitored by an intermediary by building a good reputation a firm may gain access to the nonintermediated markets such as the commercial paper market and consequently avoid the cost of monitoring in the process of maintaining its reputation a firm may eliminate the conflict of interest between borrowers and lenders about the choice of risk in investment decisions such firms have an incentive to maintain their reputation because the reputation itself has become a valuable asset that reduces borrowing costs in the model a firm that loses its reputation will find the cost of placing debt directly prohibitively expensive using event study methodology we test the diamond model by examining the quantity response of commercial paper cp to a rating downgrade of the issuing company we focus on ratings because firms that borrow in the cp market usually have high ratings in part these ratings reflect the firms reputation for selecting safe investments in the diamond framework if credit ratings proxy for reputation then a rating downgrade may be associated with a decline in the amount of outstanding cp this change in capital structure may occur relatively rapidly because outstanding cp typically has a

measuring investors opinion divergence numerous proxies for divergence of investors opinions have been suggested in the empirical accounting and finance literatures i offer a new proxy constructed from proprietary limit order and market order data this allows me to capture additional information on investors private valuations proxies from the extant literature based on publicly available data do not contain such information given my new measure i ask which of the extant proxies correlates best with it in my regression analysis unexplained volume is the best proxy for opinion divergence conditioning on various firm specific and order specific characteristics generally does not change this conclusion the main exception is the sample of firms without ibes forecast dispersion data for which bid ask spread is the best proxy for opinion divergence factor analysis also suggests that unexplained volume is the preferred proxy for opinion divergence

examining the drivers of total factor productivity change with an illustrative example of 14 eu countries abstract based on the different models developed by korhonen and luptacik korhonen p luptacik m 2004 eco efficiency analysis of power plants an extension of data envelopment analysis european journal of operational research 154 437 46 this contribution centers on the development of an intertemporal comparison in order to analyze eco efficiency change over time in this setup two model variants by korhonen and luptacik 2004 are used in order to provide deeper insights concerning the driving forces for the change in the eco efficiency which bias in technical change can be observed is it more input saving or pollution reducing for illustration purposes the proposed approach is used to analyze the performance of 14 countries of the european union for the period 1995 2004 an average eco productivity growth of 22 is observed the estimated contribution of improved use of input is 20 and that of reduced relation of greenhouse gas emissions is 23 therefore it is concluded that on average the eco productivity growth is more driven by improved environmental conditions

are small firms less vulnerable to overpriced stock offers we show an inverted u relation between targetiveness probability of being targeted and firm size however this pattern describes stock offers and is more pronounced during hot markets characterized by higher stock valuations for cash offers we find a negative and monotonic relation these contrasting patterns suggest that small firms in the bottom nyse size quartile are less vulnerable to overpriced stock offers in addition we find that the stock acquirers of small targets are less overvalued than those of large targets and that the announcement returns are less negative for stock acquirers of small targets than for those of large targets

the relation between price changes and trading volume a survey this paper reviews previous and current research on the relation between price changes and trading volume in financial markets and makes four contributions first two empiri cal relations are established volume is positively related to the magnitude of the price change and in equity markets to the price change per se second previous theoretical research on the price volume relation is summarized and critiqued and major insights are emphasized third a simple model ofthe price volume relation is proposed that is consis tent with several seemingly unrelated or contradictory observations and fourth several directions for future research are identified

will airline efficiency be affected by carbon neutral growth from 2020 strategy evidences from 29 international airlines abstract in this paper the impact of the carbon neutral growth from 2020 cng2020 strategy on airline efficiency is analyzed based on the predicted data of 29 international airlines during 2021 2023 the data is predicted through neural network following the principle of cng2020 strategy we calculate the emission limit for each airline two models network range adjusted measure with natural disposability and network range adjusted measure with managerial disposability are proposed to discuss the efficiency change when the cng2020 strategy is considered the following findings are gotten 1 under natural disposability the indices related with undesirable output have a larger role in deciding benchmarking airline 2 for most of the 29 airlines cng2020 strategy has little influence on their efficiency

estimating the value of employee stock option portfolios and their sensitivities to price and volatility the costs associated with compiling data on employee stock option portfolios is a substantial obstacle in investigating the impact of stock options on managerial incentives accounting choice financing decisions and the valuation of equity we present an accurate method of estimating option portfolio value and the sensitivities of option portfolio value to stock price and stock return volatility that is easily implemented using data from only the current year s proxy statement or annual report this method can be applied to either executive stock option portfolios or to firm wide option plans in broad samples of actual and simulated ceo option portfolios we show that these proxies capture more than 99 of the variation in option portfolio value and sensitivities sensitivity analysis indicates that the degree of bias in these proxies varies with option portfolio characteristics and is most severe in samples of ceos with a large proportion of out of the money options however the proxies explanatory power remains above 95 in all subsamples

the static and dynamic environmental efficiency of renewable energy a malmquist index analysis of oecd countries abstract in recent years renewable energy and environmental efficiency have been interesting issues for both academics and industry actors when discussing sustainable development against this background the present study examines the environmental efficiency of renewable energy from the static and the dynamic perspective in 31 oecd countries a study conducted to understand the impact of renewable energy across countries as a non parametric methodology data envelopment analysis is used to measure environmental efficiency through multiple inputs and outputs labor capital and renewable energy supply are the three inputs while gdp is the desirable output and carbon emissions are the undesirable output to measure the dynamic environmental efficiency of renewable energy the malmquist productivity index is applied to estimate the average efficiency change from 2004 to 2011 the results demonstrate geographical differences in environmental efficiency across the oecd countries in oecd america have the highest average environmental efficiency and those in oecd europe have the largest standard deviation we also find that dynamic efficiency is influenced by the global financial crisis triggered in the united states further we show that oecd countries implement both catch up and frontier shift strategies to improve environmental efficiency

rationality of energy efficiency improvement targets under the pat scheme in india a case of thermal power plants abstract the market based perform achieve and trade scheme was introduced in india to enhance the energy efficiency of energy intensive sectors and for thermal power plants by reducing their specific energy consumption within the framework of a tradable certificate scheme international experience suggests that effectiveness of such schemes is greatly influenced by the assigned targets of the obligated units setting rational targets is thus a key aspect of successful implementation of the scheme in the present study we examine the rationality of the targets set for the power sector of india based on comparing it with energy saving potential of the plants and the targets assigned to the respective plants data envelopment analysis models are used to determine relative efficiency and energy saving potential the study results indicate that in most cases i the targets are much less than the actual potentials of the thermal power sector ii there exist substantial inefficiencies within the system in both energy use and managerial dexterity and iii if the sector realizes its full potential then the energy saving certificate market may witness a surplus of 4 7 million certificates on account of thermal power sector alone

a critique of non parametric efficiency analysis in energy economics studies abstract the paper reexamines non additive environmental efficiency models with weakly disposable undesirable outputs appeared in the literature of energy economics these efficiency models are used in numerous studies published in this journal and other energy related outlets recent studies however have found key limitations of the weak disposability assumption in its application to environmental efficiency analysis it is found that efficiency scores obtained from non additive efficiency models can be non monotonic in pollution quantities under the weak disposability assumption which is against common intuition and the principle of environmental economics in this paper i present taxonomy of efficiency models found in the energy economics literature and illustrate the above limitations and discuss implications of monotonicity from a practical viewpoint finally i review the formulations for a variable returns to scale technology with weakly disposable undesirable outputs which has been misused in a number of papers in the energy economics literature an application to evaluating the energy efficiencies of 23 european union states is presented to illustrate the problem

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

alternative methods for environmentally adjusted productivity analysis abstract advances in the productivity with which food is produced around the world have been made possible through the intensive use of industrial inputs that have important environmental impacts like standard measures of macroeconomic performance however commonly used measures of agricultural efficiency and productivity account only for marketed commodities and inputs but ignore the environmental effects of these production processes a more complete analysis of trends in the sector s productivity requires the use of models that incorporate these environmental effects to provide better measures of the contributions of the sector from the social point of view this paper compares the conceptual merits and empirical performance of alternative approaches that can be employed for this purpose input distance functions output distance functions nonparametric methods and index number approaches each of the methods has relative strengths and weaknesses the methods are empirically illustrated using data from the canadian pulp and paper industry

efficiency evaluation of chinese regional industrial systems with undesirable factors using a two stage slacks based measure approach abstract the process of a regional industrial system in china can be separated into two internal stages production stage and pollutant abatement stage this paper aims to examine the efficiency of chinese regional industrial systems by taking the operational performance of its two internal stages into consideration unlike traditional data envelopment analysis models that treat decision making units as black box when measuring their efficiencies with undesirable factors this paper proposes a two stage model based on slacks based measure to evaluate the efficiency of chinese regional industrial systems by decomposing the efficiency into production efficiency and abatement efficiency the proposed model can estimate the efficiencies of the whole regional industrial system its production stage and abatement stage simultaneously the model provides a way of improving performance of a regional industrial system through identifying its inefficient internal stages this can help to find out the main sources of the inefficiency that arise from the internal stages within the system which cannot be done by using conventional environmental data envelopment analysis models findings resulting from the model application show that there are great disparities in regional industrial systems efficiencies and the inefficiency of chinese industrial system is largely driven by the abatement stage

banks efficiency and credit risk analysis using by production approach the case of iranian banks abstractthis article uses a by production approach that integrates credit risk to monitor bank efficiency the method overcomes the possible misspecification issues of the commonly assumed weak disposability wda of undesirable outputs in addition our measure extends the classic by production approach by including statistical aspects through subsampling techniques we have also provided an algorithm to correct related infeasibilities using this approach we investigate the performance of iranian banks and credit risk management in the sector for the period 1998 2012 non performing loans npls have been used as an undesirable output and proxy for credit risk in our models based on our empirical results although the banks generally exhibited efficiency improvements over time their credit risk performance deteriorated considerably after the regulatory changes introduced in 2005 these findings confirm that credit quality can be monitored more actively across iranian banks

sustainability of biofuels in latin america risks and opportunities several latin american countries are setting up biofuel programmes to establish alternative markets for agricultural commodities this is mainly triggered by the current success of brazilian bioethanol production for the domestic market and for export furthermore the global biofuel market is expected to increase due to ambitious biofuel programmes in the eu and in the usa colombia venezuela costa rica and guatemala are focusing on bioethanol production from sugarcane whereas biofuel production in argentina is based on soy biodiesel recent developments of the biofuel sector take place extremely rapid especially in argentina which became one of the five largest biodiesel producers in the world in 2008 till date no specific biofuel sustainability certification systems have been implemented in latin american as well as on global level this fact and the predominant use of food crops for biofuel production raise concerns about the sustainability of biofuel production related to environmental and social aspects this paper provides an overview of the hotspots of conflicts in biofuel production in latin america it investigates presently available sustainability tools and initiatives to ensure sustainable biofuel production in latin america finally it provides an outlook on how to integrate sustainability in the latin american biofuel sector

incorporating the learning effect into data envelopment analysis to measure msw recycling performance abstract the effect of organizational learning which results in continuous improvement of organizational performance over time has been widely discussed the cumulative learning effect may form as a source of intellectual capital thus far the static data envelopment analysis dea model has not been used to examine the longitudinal learning effect therefore a two stage approach is developed together with the estimation of a latent learning effect using time series data the estimated learning effect is then used as an input in the dea slacks based measure sbm model the proposed dea sbm model can be used to investigate the efficiency of the organizational learning effect of municipal solid waste msw recycling systems this study estimated the cumulative learning effect of 23 local governments in taiwan from 2001 to 2009 using regression analysis the results were incorporated into the dea sbm model to evaluate the relative performance of msw recycling systems in 2009 this work makes three major contributions first this paper developed a new approach that incorporates organizational learning effects into the dea sbm model second improved policies were provided to local governments with inefficient msw recycling systems third this paper found that household disposable income levels influence learning methods leading to a considerable difference in cumulative learning effects in promoting recycling policies local governments should determine whether such policies can be disseminated and implemented given the local community s standard of living

a comparison of environmental and energetic performance of european countries a sustainability index recently european countries agreed on a new 2030 pact establishing challenging levels for a set of climate and energy indexes in order to achieve a more competitive safe and sustainable energy system in order to evaluate current sustainability performances of european countries from the environmental and energetic perspectives this research proposes a multi criteria decision analysis mcda that starting from both eurostat data and the analytic hierarchy process ahp allows a direct comparison of nations to this aim multiple indexes are taken into account e g greenhouse gas ghg emissions government expenditures for environmental protection recycled and reused waste from electric and electronic equipments weees recycled and reused waste from end of life vehicles elvs recycled materials from municipal solid wastes msws share of renewable energy re in electricity share of re in transport share of re in heating and cooling and primary energy consumption this assessment model provides a sustainability value for each european country and the related ranking with the european average results show as even nowadays twelve out of twenty eight european countries have a value greater than the european average in 2013 top four nations sweden denmark finland and austria have high indexes of sustainability and sweden is the best country from both the environmental and energetic perspectives

productivity growth and environmental regulations accounting for undesirable outputs analysis of china s thirty provincial regions using the malmquist luenberger index this paper employs the malmquist luenberger ml productivity index to evaluate china s growth in total factor productivity tfp incorporating undesirable outputs during the period from 1989 to 2008 the ml productivity index and its components technical and efficiency changes are derived from the directional distance function which gives credit for an increase in good outputs and for reductions in undesirable outputs the average annual ml productivity growth accounting for undesirable outputs is 2 46 whereas the value of the traditional malmquist productivity index is 4 84 showing that the true tfp growth in china is overestimated if undesirable outputs are ignored we explore the strictness in enforcing environmental regulations and its impact on improvements in ml productivity the results show that the enforcement of environmental regulations in china is in general far below the levels achieved in the best performing regions and that the more stringent enforcement of environmental regulations would help to improve ml productivity growth in china

weak disposability in nonparametric production analysis with undesirable outputs environmental economics and natural resources group at wageningen university in the netherlands weak disposability of outputs means that firms can abate harmful emissions by decreasing the activity level modeling weak disposability in nonparametric production analysis has caused some confusion this article identifies a dilemma in these approaches conventional formulations implicitly and unintentionally assume all firms apply uniform abatement factors however it is usually cost effective to abate emissions in those firms where the marginal abatement costs are lowest this article presents a simple formulation of weak disposability that allows for non uniform abatement factors and preserves the linear structure of the model

measuring technical efficiency in the presence of pesticide spillovers and production uncertainty the case of dutch arable farms pesticides dynamic effects and production uncertainty play an important role in farmers production decisions pesticides have a current production impact through reducing crop damage in the current period and a future impact through impacting the farm biodiversity which alters the future production environment this study presents the difference in inefficiency arising from models that ignore the dynamic effects of pesticides in production decisions and the impact of production uncertainty a dynamic data envelopment analysis dea model is applied to outputs inputs and undesirables of dutch arable farms over the period 2003 2007 a bootstrap approach is used to explain farmers performance providing empirical representations of the impact of stochastic elements on production these empirical representations are used to adjust firms inefficiency scores to incorporate production uncertainty in efficiency evaluation we find that efficiency increased dramatically when a production technology representation that considers both pesticides dynamic impacts and production uncertainty is adopted

differential interpretations and trading volume this study provides evidence that differential interpretations are an important stimulus for speculative trading we measure differential interpretations using data on analysts revisions of forecasts of annual earnings after the announcement of quarterly earnings that are components of those annual earnings numbers we find two conditions under which differential interpretations play a significant role in explaining trading first we present empirical evidence supporting kandel and pearson s 1995 argument that trading coincident with small price changes reflects investors differential interpretations of information this evidence is important because it is inconsistent with conventional models of trade that assume homogeneous interpretations second we also find that differential interpre tations explain a significant amount of the trading occurring in a sample where trading volume is higher than the firm specific non announcement period average this result is consistent with informed traders acting on their differential interpretations when there is enough liquidity trading to help camouflage their own information based trades in sum the study s results confirm bachelier s 1900 intuition that differential interpretations are an important stimulus for trading

measuring environmental efficiency of industry a case study of thermal power generation in india technical and environmental efficiency of some coal fired thermal power plants in india is estimated using a methodology that accounts for firm s efforts to increase the production of good output and reduce pollution with the given resources and technology the methodology used is directional output distance function estimates of firm specific shadow prices of pollutants bad outputs and elasticity of substitution between good and bad outputs are also obtained the technical and environmental inefficiency of a representative firm is estimated as 0 06 implying that the thermal power generating industry in andhra pradesh state of india could increase production of electricity by 6 while decreasing generation of pollution by 6 this result shows that there are incentives or win win opportunities for the firms to voluntarily comply with the environmental regulation it is found that there is a significant variation in marginal cost of pollution abatement or shadow prices of bad outputs across the firms and an increasing marginal cost of pollution abatement with respect to pollution reduction by the firms this result calls for the use of economic instruments like pollution taxes instead of command and control regulation used currently in india to reduce air pollution

a study of allocative efficiency of pm2 5 emission rights based on a zero sum gains data envelopment model abstract it is an urgent task for china to control haze emission in environmental treatment emission right trading is a feasible way to achieve the reduction of pollutant emission on the premise that the total pollutant emission amount is under control and the allocation of initial emission rights based on the target total amount is the key to emission right trading in this paper via the input oriented zsg dea model the inter provincial allocative efficiency of pm2 5 emission rights is investigated under the condition that the target total amount is fixed the results showed that 1 after initial emission rights were allocated in accordance with the zsg dea model pm2 5 emission amounts of all provinces would be in a new common dea frontier so as to realize the overall pareto optimality with a set total amount 2 two factors namely land areas and atmospheric environmental capacities of all provinces were considered in the actual allocation to avoid the homogenization of all evaluated units found in the previous evaluation literature on allocative efficiency thereby making the evaluation results more in line with the actual situations in all provinces such an investigation approach can provide guidance on the allocation of initial emission rights in emission right trading and the research results can offer empirical support for haze reducing work load conducted by central and local governments of china

environmentally sensitive productivity analysis of the canadian pulp and paper industry 1959 1994 an input distance function approach abstract this study employs a parametric input distance function that incorporates both desirable and undesirable outputs to provide a more complete representation of the production technology from which environmentally sensitive productivity and efficiency measures can be generated this framework also generates pollution abatement cost estimates that are useful for policy making an input based malmquist index of productivity growth that appropriately credits the producer not only for increases in marketable or desirable outputs but also for the production of improved environmental quality through pollution abatement activities is derived from the input distance function the method was applied to time series data from the canadian pulp and paper industry our shadow price estimates indicate that the marginal cost to producers of pollution control has been rising the main conclusion of this study is that productivity improvement from the social viewpoint has been stronger than conventional measures would suggest

pesticide use environmental spillovers and efficiency a dea risk adjusted efficiency approach applied to dutch arable farming pesticides are widely used by crop producers in developed countries to combat risk associated with pests and diseases however their indiscriminate use can lead to various environmental spillovers that may alter the agricultural production environment thus contributing to production risk this study utilises a data envelopment analysis dea approach to measure performance of arable farms incorporating pesticides environmental spillovers and output variance as undesirable outputs in the efficiency analysis and taking explicitly into account the effect of pesticides and other inputs on production risk the application focuses on panel data from dutch arable farms over the period 2003 2007 a moment approach is used to compute output variance providing empirical representations of the risk increasing or decreasing nature of the used inputs finally shadow values of risk adjusted inputs are computed we find that pesticides are overused in dutch arable farming and there is a considerable evidence of the need for decreasing pesticides environmental spillovers

a critical review of distance function based economic research on china s marginal abatement cost of carbon dioxide emissions abstract the last few years have witnessed a rapidly emerging literature estimating the marginal abatement cost or the shadow price of carbon dioxide co2 emissions in china using parametric or non parametric distance function approaches this is largely driven by the fact that china has become the world s largest carbon emitter and thus faced mounting domestic and international pressure to mitigate emissions there is an urgent policy need to model and predict the cost burdens of various mitigation scenarios consistent information about the marginal abatement cost of co2 emissions plays a crucial role in addressing this need however the existing literature has suffered from various issues that have severely weakened the scientific support that these studies could potentially provide for sound policy making this paper provides a thorough and critical review of this rapidly emerging literature and identifies important research directions that need the most attention from scholars

a multiplicative environmental dea approach to measure efficiency changes in the world s major polluters we propose a multiplicative environmental data envelopment analysis me dea approach to measure the performance of 46 countries that generate most of the world s carbon dioxide co2 emissions in the model we combine economic labour and capital environmental freshwater and energy inputs with a desirable output gdp and three undesirable outputs co2 methane and nitrous oxide emissions we rank each country according to the optimum use of its resources employing a multiplicative extension of environmental dea models by computing partial efficiency scores for each input and output separately we thus identify major sources of inefficiency for all sample countries based on the partial efficiency scores obtained from the model we define aggregate economic energy and environmental efficiency indexes for 2002 2007 and 2011 reflecting points in time before and after the official enactment of the kyoto protocol we find that for most countries efficiency scores increase over this period in addition there exists a positive relationship between economic and environmental efficiency although at the same time our results suggest that environmental efficiency cannot be realized without first reaching a certain threshold of economic efficiency we also find support for the paradox of plenty whereby an abundance of natural and energy resources results in their inefficient use

volume volatility and the dispersion of beliefs i examine a two period noisy rational expectations model of a futures market and show that the dispersion of expectations about a weighted average of future prices measures both the additional volatility and the additional expected volume of trade associated with noisy information the role played by dispersion helps clarify several stylized facts concerning volume and price behavior specifically dispersion can be a factor contributing to the positive correlation between volume and absolute price changes and the positive correlation between consecutive absolute price changes article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

measuring environmentally sensitive productivity growth an application to the urban water sector the energy use and greenhouse gas emissions in the provision of urban water and sewerage services have become an increasingly important issue in recent times however the impact of negative externalities such as greenhouse gas emissions on the productivity of urban water provision has received less attention in the literature this paper applies the global malmquist luenberger gml productivity index which accounts for undesirable outputs in order to evaluate the productivity trends in the australian urban water sector results indicate that the inclusion of greenhouse gas emissions significantly influences the productivity measurement findings also indicate that the conventional index which disregards undesirable outputs over states the productivity growth despite a declining trend in greenhouse emissions over the period the overall productivity trend of the urban water sector experienced a downward trend while accounting for bad output this productivity decline occurs in a period of prolonged drought water security concerns and increased reliance on desalinization and water recycling

economic value of greenhouse gases and nitrogen surpluses society vs farmers valuation abstract livestock supply must challenge the growth of final demand in the developing countries this challenge has to take into account its ecological effects since the dairy and livestock sectors are clearly pointed out as human activities which contribute significantly to environmental deterioration therefore livestock activity models have to include desirable and undesirable outputs simultaneously using this perspective we implement a data envelopment analysis model to evaluate shadow prices of outputs under contradictory objectives between the society and the farmers we show that farmers are able to reduce pollution significantly if society accepts to balance farmers opportunity cost finally we observe that initial levels of the co 2 tax implemented in european countries are in line with farmers valuation while the current level of the co 2 tax tends to reach the value of pollution targeted by the society

non parametric frontier approach to modelling the relationships among population gdp energy consumption and co2 emissions abstract in this paper a non parametric approach based in data envelopment analysis dea is proposed as an alternative to the kaya identity a k a impact this frontier method identifies and extends existing best practices population and gdp are considered as input and output respectively both primary energy consumption and greenhouse gas ghg emissions are considered as undesirable outputs several linear programming models are formulated with different aims namely a determine efficiency levels b estimate maximum gdp compatible with given levels of population energy intensity and carbonization intensity and c estimate the minimum level of ghg emissions compatible with given levels of population gdp energy intensity or carbonization index the united states of america case is used as illustration of the proposed approach