total factor carbon emission performance of the chinese transportation industry a bootstrapped non radial malmquist index analysis this paper proposes a non radial malmquist co2 emission performance index nmcpi for measuring dynamic changes in total factor co2 emission performance over time this index enables the consideration of non radial slacks in the conventional malmquist co2 emission index mcpi the nmcpi is calculated based on a non radial directional distance function derived by several data envelopment analysis dea models furthermore nmcpi could be decomposed into an efficiency change ec index and technological change tc index a bootstrapping approach is conducted to introduce statistical inferences into the nmcpi and its decompositions based on the proposed indices the dynamic co2 emission performance change and its decompositions of the chinese regional transportation industry from 2002 to 2010 are investigated the empirical results demonstrate that the total factor carbon emission performance of the transportation industry as a whole decreased by 32 8 over the period and this reduction was primarily caused by technological decline

do renewable energy technology innovations promote china s green productivity growth fresh evidence from partially linear functional coefficient models abstract renewable energy technology innovation can benefit the environment by promoting green productivity as proposed by existing theoretical studies however recent uneven developments of both environmental performance and renewable energy technology among regions in china remind us to revisit the above theoretical link in this paper we relax the hypothesized homogeneity and linearity in traditional empirical models to investigate the effects of renewable energy technology innovation on china s green productivity the results of the partially linear functional coefficient models show that the effect of renewable energy technological innovation on green productivity is significant only when the relative income level of a province passes a critical turning point beyond the turning point such an effect increases with the growth of relative income levels finally we provide provincial specific policy implications based on the estimated nonparametric relationship between renewable energy technology innovation and green productivity

energy efficiency and productivity change of china s iron and steel industry accounting for undesirable outputs abstract this paper used data from 50 enterprises in china s iron and steel industry to evaluate their energy efficiency and productivity change the study first used a conventional data envelopment analysis model and the malmquist productivity index mpi to measure the energy efficiency and productivity change over the period 2001 2008 the results indicated inefficiency in many of the plants the average energy efficiency was only 61 1 the annual growth rate of productivity was 7 96 over this period and technical change was the main contributor to this growth the research then took undesirable outputs into consideration by using the malmquist luenberger productivity index mlpi to explore the productivity change from 2006 to 2008 omitting undesirable outputs would result in biased efficiency change and technical change this paper also claimed that environmental regulation has a potentially positive impact on technical change

optimal monetary policy responses to relative price changes abstract an optimizing model with a flexible price sector and a sticky price sector is presented to analyze the effects of relative price changes on inflation fluctuations the relative price of the flexible price good represents a shift parameter of the new keynesian phillips curve the optimal monetary policy is to target sticky price inflation rather than a broad inflation measure although stabilizing the relative price around its efficient value is one of the appropriate goals of the central bank stabilizing sticky price inflation is sufficient for achieving this goal an optimal monetary policy for a small open economy is also discussed

measuring energy efficiency in the context of an emerging economy the case of indian manufacturing in recent years the indian economy has achieved a rapid growth rate however one of the challenges facing the economy is the large energy supply that would be needed to sustain this growth path hence attaining energy efficiency is crucial for the economy this paper examines the indian manufacturing sector and utilizes a variant of the directional distance function to obtain comprehensive measures of performance of the major manufacturing states given the joint goals of achieving energy conservation and output growth the results of the empirical application reveal that given the prevailing technology the average manufacturing firm across the states could reduce energy input and increase output simultaneously by an annual average of 3 84 by improving technical efficiency to accommodate a larger simultaneous increase in output and reduction in energy use india should adopt superior technologies so as to shift the efficient frontier outward

sectoral solow residuals this paper presents capital utilization corrected measures of technology shocks for aggregate and disaggregated two digit standard industrial classification code industries we correct for variations in capital utilization by employing industrial electrical use as a measure of capital services in contrast the standard measures of technology shocks used in the real business cycle literature are based on economy wide data and assume that capital services are proportional to the stock of measured capital to assess the impact of these differences we contrast selected properties of the competing technology shock measures we argue that the properties of technology shocks for the manufacturing sector are quite different than those used in the rbc literature we also find that correcting for capital utilization has important implications for the properties of the solow residual

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

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

environmental regulations and productivity growth the case of fossil fueled electric power generation this paper measures and analyzes the effect of sulfur dioxide emission restrictions on the rate of productivity growth in the electric power industry over the 1973 79 business cycle a firm specific measure of regulatory intensity is developed which depends on the severity of the emission standard the extent of enforcement and the unconstrained emission rate relevant to each utility the results indicate that emission regulations result in significantly higher generating costs primarily from the increased use of low sulfur fuels the average rate of productivity growth was reduced by 0 59 percentage points per year for constrained utilities

the future of u s natural gas production use and trade two computable general equilibrium models one global and the other providing u s regional detail are applied to analysis of the future of u s natural gas the focus is on uncertainties including the scale and cost of gas resources the costs of competing technologies the pattern of greenhouse gas mitigation and the evolution of global natural gas markets results show that the outlook for gas over the next several decades is very favorable in electric generation given the unproven and relatively high cost of other low carbon generation alternatives gas is likely the preferred alternative to coal a broad ghg pricing policy would increase gas use in generation but reduce use in other sectors on balance increasing its role from present levels the shale gas resource is a major contributor to this optimistic view of the future of gas gas can be an effective bridge to a lower emissions future but investment in the development of still lower co2 technologies remains an important priority international gas resources may well prove to be less costly than those in the u s except for the lowest cost domestic shale resources and the emergence of an integrated global gas market could result in significant u s gas imports

a metafrontier approach for measuring an environmentally sensitive productivity growth index this paper presents an alternative environmentally sensitive productivity growth index to incorporate group heterogeneities into a conventional malmquist luenberger productivity growth index the p

the contribution of environmental regulations to the slowdown in productivity growth abstract the radical slowdown in productivity growth since 1965 is often attributed to environmental regulations several studies varying widely in method have attempted to assess this contribution here these analyses are reviewed and critiqued and a summary appraisal of the likely contribution of environmental regulations to the observed decrease in productivity growth is offered

can aggregation explain the persistence of inflation abstract an aggregation exercise is proposed that aims at investigating whether the fast average adjustments of the disaggregate inflation series of the euro area cpi is coherent with the slow adjustment of euro area aggregate inflation estimating a dynamic factor model for 404 inflation sub indices of the euro area cpi allows to decompose the dynamics of inflation sub indices into a part due to a common macroeconomic shock and to sector specific idiosyncratic shocks although idiosyncratic shocks dominate the variance of sectoral prices one common factor appears to be the main driver of aggregate dynamics in addition the heterogenous propagation of this common shock across sectoral inflation rates and in particular its slow propagation to inflation rates of services generates the persistence of aggregate inflation we conclude that the aggregation mechanism explains a significant amount of aggregate inflation persistence

on the inconsistency of the malmquist luenberger index abstract apart from the well known weaknesses of the standard malmquist productivity index related to infeasibility and not accounting for slacks already addressed in the literature we identify a new and significant drawback of the malmquist luenberger index decomposition that questions its validity as an empirical tool for environmental productivity measurement associated with the production of bad outputs in particular we show that the usual interpretation of the technical change component in terms of production frontier shifts can be inconsistent with its numerical value thereby resulting in an erroneous interpretation of this component that passes on to the index itself we illustrate this issue with a simple numerical example finally we propose a solution for this inconsistency issue based on incorporating a new postulate for the technology related to the production of bad outputs

natural gas scenarios in the u s power sector abstract the united states power sector is being transformed by the recent rise in the availability and use of unconventional natural gas specifically shale gas that transformation has already produced some of the most significant changes in the operation of the portfolio of electricity generation since wwii further implications are likely to that end we present results from numerical modeling of different united states u s power sector futures these futures assess questions affecting today s natural gas and electric power markets including the impacts of forthcoming epa rules on power plants decarbonization options such as a clean energy standard ces potential improvements in key generation technologies expanded use of natural gas outside of the power generation sector and higher costs for natural gas production assumed to arise from more robust environmental and safety practices in the field the simulations were done using the reeds model looking out to the year 2050 reeds is a capacity expansion model that determines the least cost combination of generation options that fulfill a variety of user defined constraints such as projected load capacity reserve margins emissions limitations and operating lifetimes the baseline scenario shows strong growth in natural gas generation leading to a roughly 2 5 fold increase in gas demand by 2050 many other scenarios also see strong growth in gas fired generation highlighting questions about portfolio diversity climate change and research and development prioritization

measurement of environmentally sensitive productivity growth in korean industries this study measures productivity growth using the metafrontier malmquist luenberger productivity growth index mml index method and decomposes the index the results are compared with those obtained from the conventional malmquist luenberger ml productivity growth index mml has two advantages compared with the ml index the former is able to consider undesirable output as a by product of production which accounts for producer group heterogeneities as a result it enables separation and estimation of changes in the technological gap between regional and global frontier technologies the proposed index is employed to measure productivity growth and decompose its components in 14 korean industrial sectors during the period between 1981 and 2007 for the purpose of detailed analysis of policy effects the study period was divided into three decades the results show that technology innovation can be regarded as a more important factor of productivity growth rather than efficiency change the chemical and petrochemical machinery and transport equipment industries are treated as global innovators in the whole period however the result differs according to decades it is found that the groups with higher energy efficient technology and profitability obtain a higher productivity growth rate in comparison with their low energy efficient technology industry counterparts policy implications of the empirical results are discussed

dynamic environmental performance analysis a malmquist index approach abstract this article presents a general framework for dynamic environmental performance analysis by generalizing the approach proposed by kuosmanen and kortelainen kuosmanen t kortelainen m 2005 measuring eco efficiency of production with data envelopment analysis journal of industrial ecology 9 4 59 72 from a static to a dynamic setting for this purpose we construct an environmental performance index epi by applying frontier efficiency techniques and a malmquist index approach compared to other dynamic environmental productivity and efficiency analysis approaches based on these methods our approach builds on the standard definition of eco efficiency as it is presented in the ecological economics literature recognizing the importance to analyze the sources of environmental performance changes we show how changes in overall environmental performance can be decomposed into changes in relative eco efficiency and shifts in environmental technology respectively we apply the presented technique at the macro level to dynamic environmental performance analysis of 20 member states of the european union in 1990 2003 according to the results environmental technical change mostly explains the improvement in overall environmental performance while relative eco efficiency change has been minor for most countries during the sample period

a deterministic parametric metafrontier luenberger indicator for measuring environmentally sensitive productivity growth a korean fossil fuel power case abstract this paper contributes to the current literature by proposing an alternative parametric metafrontier productivity approach called the deterministic parametric metafrontier luenberger productivity indicator dpmlpi for measuring environmentally sensitive productivity growth incorporating technological heterogeneities the luenberger productivity indicator is constructed based on a quadratic output directional distance function with undesirable outputs and then combined with the deterministic metafrontier to develop dpmlpi the dpmlpi can be decomposed into efficiency change technological change and productivity growth gap the productivity growth gap can be further divided into efficiency change gap and technological change gap the parametric linear programming technique is used to estimate parameters and construct the metafrontier an empirical study for the korean fossil fuel power industry at the plant level is conducted for the 2003 2011 period the results show a 0 15 increase in environmentally sensitive productivity growth which is mainly driven by environmental technological change the oil fired power plants show higher levels than the coal fired ones of environmentally sensitive productivity growth and technological change performance some related policy implications are also proposed for the korean fossil fuel power sector

productivity growth and pollution in state manufacturing the directional output distance function chambers chung fare 1996 is used to construct a malmquist luenberger index of total factor productivity growth for manufacturing when both good and bad outputs are jointly produced the index is constructed using information on good and bad output quantities and input quantities circumventing the problem of recovering shadow price information for the bad output needed for the fisher or tornqvist type of productivity indices accounting for toxic releases in manufacturing productivity growth averages 1 4 an nually during 1988 1994 the findings also suggest that the failure to account for toxic releases in manufacturing results in a significant under statement of total factor productivity growth

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

a sequential malmquist luenberger productivity index environmentally sensitive productivity growth considering the progressive nature of technology this study proposes an index for measuring environmentally sensitive productivity growth which appropriately considers the nature of technical change the rationale of this methodology is to exclud

sectoral phillips curves and the aggregate phillips curve sector level phillips curves are estimated in french data there is considerable heterogeneity across sectors with vastly different estimates of the backward looking component of inflation and the duration of nominal rigidities a multi sector model of inflation dynamics is calibrated on the basis of these sectoral estimates aggregate inflation simulated on the basis of heterogeneous sectors displays comparable dynamics to actual data a comparison is drawn between the policy trade offs implied by a phillips curve based on macroeconomic estimates vs one based on a model with heterogeneous sectors the difference is sizeable

a note on efficiency and productivity growth in the korean banking industry 1992 2002 abstract in this paper we present estimates of korean bank inefficiency and productivity change for the period 1992 2002 that are derived from the directional technology distance function our method controls for loan losses that are an undesirable by product arising from the production of loans and allows the aggregation of individual bank inefficiency and productivity growth to the industry level our findings indicate that technical progress during the period was more than enough to offset efficiency declines so that the banking industry experienced productivity growth

shadow prices and pollution costs in u s agriculture abstract we use the directional output distance function to derive estimates of production inefficiency shadow prices for polluting outputs and the associated pollution costs using a quadratic functional form for the directional output distance function and data for the u s agricultural sector during 1960 1996 we find that the pollution costs the shadow values from the runoff and leaching of pesticides are 6 of crop and animal revenues and are highest in the midwest and lowest in the western states if states were to reduce technical inefficiency and operate on the production frontier pollution costs could be reduced by 7

increasing agricultural productivity while reducing greenhouse gas emissions in sub saharan africa myth or reality the motivation for this study stems from two major concerns that are interlinked the first is the decades long food insecurity crisis faced by sub saharan african ssa countries which is still prevalent the second is the negative impact greenhouse gas ghg emissions from agriculture may have on future food production and which is likely to worsen the food insecurity problem the conundrum ssa farmers face is how to increase food output through productivity growth while minimizing ghg emissions to measure changes in productivity growth and ghg emissions this study evaluates the agricultural performance of 18 ssa countries by utilizing the malmquist luenberger index to incorporate good and bad outputs for the years 1980 2012 the empirical evidence demonstrates that productivity is overestimated when bad outputs are not considered in the production model the analysis provides a better understanding of the effectiveness of previous mitigation methods and which informs an appropriate course of action needed to achieve the twin objectives of increasing agriculture productivity while reducing ghg emissions

productivity growth environmental regulation and win win opportunities the case of chemical industry in italy and germany abstract this paper analyzes the environmental and economic efficiency of a sample of firms located in italy and germany operating in the chemical sector and included in the european pollution release and transfer register e prtr the directional distance function ddf approach in a conditional setting has been applied to obtain efficiency score and total factor productivity tfp growth indexes considering pollution in computations emissions increase in absolute term between 2004 and 2007 with a worse performance of italian firms but efficiency indicators show a reduction of inefficiency over time with similar performance of firms from the two countries the formal test for the porter s hypothesis suggests that chemical firms suffering higher compliance costs in the first period react with investment increasing productivity in the following years the empirical evidence robust to different specifications and estimation methods supports the presence of win win opportunities

electric sector capacity planning under uncertainty climate policy and natural gas in the us abstract this research investigates the dynamics of capacity planning and dispatch in the us electric power sector under a range of technological economic and policy related uncertainties using a two stage stochastic programming approach model results suggest that the two most critical risks in the near term planning process of the uncertainties considered here are natural gas prices and the stringency of climate policy stochastic strategies indicate that some near term hedging from lower cost wind and nuclear may occur but robustly demonstrate that delaying investment and waiting for more information can be optimal to avoid stranding capital intensive assets hedging strategies protect against downside losses while retaining the option value of deferring irreversible commitments until more information is available about potentially lucrative market opportunities these results are explained in terms of the optionality of investments in the electric power sector leading to more general insights about uncertainty learning and irreversibility the stochastic solution is especially valuable if decision makers do not sufficiently account for the potential of climate constraints in future decades or if fuel price projections are outdated

an activity analysis model of the environmental performance of firms application to fossil fuel fired electric utilities the productivity of firms when some outputs pollution are undesirable has been studied in the literature for some time in this paper we introduce an environmental performance indicator based on the decomposition of overall factor productivity into a pollution index and an input output efficiency index this indicator is compared to the more conventional jaggi and freedman 1992 model results are given for illustrative purposes using data from u s fossil fuel fired electric utilities the rankings of the utilities obtained with the two models show significant divergence which is due to the different ways in which the undesirable outputs are dealt with as well as due to the different possible tradeoffs between the pollutants released into the atmosphere and the resources used as inputs

natural gas uncertainty and climate policy in the us electric power sector abstract this paper investigates how uncertainties related to natural gas prices and potential climate policies may influence capacity investments utilization and emissions in us electricity markets using a two stage stochastic programming approach model results suggest that climate policies are stronger drivers of greenhouse gas emission trajectories than new natural gas supplies the dynamics of learning and irreversibility may give rise to an investment climate where strategic delay is optimal hedging strategies are shown to be sensitive to the specification of probability distributions for climate policy and natural gas prices highlighting the important role of uncertainty quantification in future research the paper also illustrates how this stochastic modeling framework could be used to quantify the value of limiting methane emissions from natural gas production

total factor carbon emission performance of fossil fuel power plants in china a metafrontier non radial malmquist index analysis article i nfo this paper proposes the metafrontier non radial malmquist co2 emission performance index mnmcpi for measuring dynamic changes in total factor co2 emission performance over time the mnmcpi method allows for the incorporation of group heterogeneity and non radial slack into the previously introduced malmquist co2 emission performance index mcpi we derive the mnmcpi by solving several non radial data envelop ment analysis dea models we decompose the mnmcpi into an efficiency change ec index a best practice gap change bpc index and a technology gap change tgc index and based on the proposed indices we examine the dynamic changes in co2 emission performance and its decomposition of fossil fuel power plants in china for the 2005 2010 period the empirical results show a 0 38 increase in total factor co2 emission performance as a whole and a u shaped mnmcpi curve for the sample period because companies owned by the central government lack innovation and technological leadership the results suggest a missing link in the role of the central government in promoting co2 emission performance

environmental cost benefit analysis of alternative timing strategies in greenhouse gas abatement a data envelopment analysis approach assessing the benefits of climate policies is complicated due to ancillary benefits abatement of greenhouse gases also reduces local air pollution the timing of the abatement measures influences both the economic costs and ancillary benefits this paper conducts efficiency analysis of ten alternative timing strategies taking into account the ancillary benefits we apply the approach by kuosmanen and kortelainen valuing environmental factors in cost benefit analysis using data envelopment analysis ecological economics 62 2007 56 65 which does not require prior valuation of the environmental impacts the assessment is based on synthetic data from a dynamic applied general equilibrium model calibrated to the netherlands our assessment shows that if one is only interested in ghg abatement at the lowest economic cost then equal reduction of ghgs over time is preferred if society is willing to pay a premium for higher ancillary benefits an early mid intensive reduction strategy is optimal

valuing environmental factors in cost benefit analysis using data envelopment analysis abstract environmental cost benefit analysis ecba is used for the social evaluation of investment projects and policies that involve significant environmental impacts economic valuation of environmental impacts forms one of the critical steps of ecba we develop a new method for this purpose which does not require price estimation for environmental impacts using stated or revealed preference methods our approach is based on data envelopment analysis dea which is modified to ecba by using absolute shadow prices instead of relative prices we also discuss how the method can be used for sensitive analysis in ecba we illustrate the method by means of a hypothetical numerical example

var based estimation of euler equations with an application to new keynesian pricing abstract var based estimation of euler equations exploits cross equation restrictions that the theory imposes on a vector autoregressive var process for market expectations this paper shows that sargent s 1979 a note on maximum likelihood estimation of the rational expectations model of the term structure journal of monetary economics 5 133 143 original approach of imposing these restrictions on the endogenous variable of the euler equation i e computing the rational expectations solution implies multiple solutions and is therefore impracticable the paper shows that this identification problem can be circumvented by reverse engineering the cross equation restrictions on the forcing variable of the euler equation the proposed reverse engineering approach contrasts with the conventional approach in the literature that avoids the identification problem by constraining the system formed by the euler equation and the var process to yield a unique stable rational expectations equilibrium this uniqueness condition makes little economic sense because the var process is just a reduced form approximation of true market expectations and a simulation experiment shows that imposing uniqueness can lead to severe misspecification bias the severity of this misspecification bias is illustrated in practice with an application to gali and gertler s 1999 inflation dynamics a structural econometric analysis journal of monetary economics 44 195 222 hybrid new keynesian phillips curve

do environmental regulations hamper productivity growth how accounting for improvements of plants environmental performance can change the conclusion abstract many economists maintain that environmental regulations hamper productivity growth a view supported by several empirical studies on industry or state level data however there is little research of the relationship between the stringency of environmental regulation and productivity growth at the plant level and the results of the few existing studies are ambiguous moreover the measures of productivity growth applied in previous studies do not credit plants for emission reductions and this may result in understatement of productivity growth we perform regression analyses of productivity growth on regulatory stringency using plant level data to credit a plant for emission reductions we include emissions as inputs when calculating an environmental malmquist productivity index emi and do not include emissions when calculation the traditional malmquist productivity index mi the regression analyses show that the overall effect of the regulatory stringency faced by plants on plants productivity growth is statistically insignificant when mi is applied to measure productivity growth however when we apply emi the effect is positive and statistically significant this indicates that not accounting for emission reductions when measuring productivity growth can result in too pessimistic conclusions regarding the effect of regulatory stringency on productivity growth

the impact of environmental regulations on industry productivity direct and indirect effects abstract the paper develops an approach to measuring the impact of environmental regulations on total factor productivity growth which is less restrictive than a simple growth accounting approach environmental regulations have a direct impact on productivity growth due to the diversion of resources toward required abatement capital there can be a further indirect effect however as conventional inputs and production processes are changed in response to requirements to purchase abatement capital we estimate this indirect effect using a flexible functional form cost function total factor productivity and the direct and indirect productivity effects of environmental regulations are presented for five polluting industries we find that the indirect effect can be either positive or negative and in all industries is energy using the net impact of environmental regulations on total factor productivity growth is fairly small given that these are the most polluting industries they account for about 10 30 of the productivity decline of the 1970s in these industries