forward looking assessment of the ghg abatement cost application to china abstract evaluation of abatement costs is critical in setting reduction goals and devising climate policy however reliable forward looking assessment of the short term effects of climate policy remains a major challenge using panel data of 30 chinese provinces during 1997 2015 we first estimate the marginal co2 abatement costs using a novel data driven approach convex quantile regression based on the marginal abatement cost estimates and china s plans regarding carbon intensity reduction and economic growth we present a forward looking assessment of the abatement costs for chinese provinces for 2016 2020 our main finding is that all the chinese provinces have a negative abatement cost which means these provinces can benefit from an increase in the absolute level of co2 emissions despite the constraint on carbon intensity the magnitudes of economic benefits exhibit a significant regional disparity because some provinces can increase more co2 emissions than others however there is still costly carbon intensity abatement relative to a counterfactual where the provinces meet their economic growth targets but in the absence of the intensity reduction constraints policy implications have been proposed to enhance the efficiency and fairness of climate policy in china

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

optimization of manufacturing systems under environmental considerations for a greenness dependent demand abstract in this work we show that the optimization models for manufacturing systems should evolve to consider the environmental impacts of manufacturing activities and to integrate the environmental performance of finished products in particular the selection of manufacturing processes technologies and input items components should be revised with environmental consideration with this scope in mind we develop two optimization models where we consider the selection of production processes and the choice of input products in the first model a single product is offered by the firm and the demand of this product depends on its greenness in the second model the market is segmented between ordinary and green customers and the firm offers a different variety of the output product to each segment in this case both the demand and the price depend on the product greenness in both models the greenness of the output product is a decision variable that is simultaneously determined along with the other decisions in addition the models integrate environmental legislations we conduct numerical experiments on a case study from the textile sector in order to show how the integration of the product greenness impacts on the system profit and decisions

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

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

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

optimal path for controlling co2 emissions in china a perspective of efficiency analysis this paper examines the optimal control of co2 emissions from a perspective of efficiency analysis several centralized data envelopment analysis dea models are introduced to study the optimal allocation of co2 emissions under spatial temporal and spatial temporal allocation strategies respectively the models have been used to determine the optimal paths for controlling co2 emissions at provincial and regional levels in china a sensitivity analysis of the optimal path on the emission control coefficient under spatial temporal allocation strategy is further carried out our empirical results show that more developed regions should take emission reduction responsibility earlier than less developed regions in china of the three allocation strategies spatial temporal allocation strategy seems to be a better choice for achieving the optimal control of co2 emissions at country level since it is more encompassing by allowing both timing and spatial substitutions it is also found that there exists an inverted u shape relationship between the aggregate optimal gdp and the emission control coefficient which shows that modest emission reduction policy might be more appropriate for china in order to achieve the joint goals of economic development and co2 emission reduction

how well do static indicators identify the chronically poor abstract we investigate how well the most widely used static welfare indicators perform in identifying the chronically poor we propose a normative measure of performance the cost of a given impact on chronic poverty when transfers are contingent upon a purely static indicator using longitudinal household data from rural india we find that current consumption is not always a better indicator of chronic poverty than current income both however perform much better than other common indicators such as food share and access to land

what do we know about carbon taxes an inquiry into their impacts on competitiveness and distribution of income abstract the kyoto protocol to the united nations framework convention on climate change unfccc has set legally binding emissions targets for a basket of six greenhouse gases and timetables for industrialised countries it has also incorporated three international flexibility mechanisms however the articles defining the flexibility mechanisms carry wording that their use must be supplemental to domestic actions this has led to the open debates on interpretations of these supplementarity provisions such debates ended at the resumed sixth conference of the parties cop to the unfccc held in bonn july 2001 and at the subsequent cop 7 in marrakesh november 2001 the final wording in the bonn agreement reaffirmed in the marrakesh accords at least indicates that domestic policies will have an important role to play in meeting annex b countries emissions commitments carbon taxes have long been advocated because of their cost effectiveness in achieving a given emissions reduction in this paper the main economic impacts of carbon taxes are assessed based on a review of empirical studies on existing carbon energy taxes it is concluded that competitive losses and distributive impacts are generally not significant and definitely less than often perceived however given the ultimate objective of the framework convention future carbon taxes could have higher rates than those already imposed and thus the resulting economic impacts could be more acute in this context it has been shown that how to use the generated fiscal revenues will be of fundamental importance in determining the final economic impacts of carbon taxes finally we briefly discuss carbon taxes in combination with other domestic and international instruments

a new approach to measuring shadow price reconciling engineering and economic perspectives abstract shadow price is one of the most important pieces of information in environmental decision making two different approaches namely economic and engineering have been applied to obtain the shadow price of undesirable outputs while using different methodological backgrounds and perspectives the current study proposes a new conceptual framework and an economic estimation model to reconcile the shadow price estimates derived via the two approaches we also suggest a new mapping rule that incorporates the concept of abatement level which is a basic element in the engineering approach as a result the proposed model generates continuously changing estimates i e comprising a shadow price curve based on the abatement level we further investigate the determinant factors of shadow price by using second step regression the suggested methodology is used to investigate the shadow price of carbon emissions in south korean electricity generating plants thus yielding relevant policy implications

loads of green washing can behavioural economics increase willingness to pay for efficient washing machines in the uk the eu energy efficiency labelling scheme has successfully increased demand for efficient appliances by providing a prominent letter rating to consumers during their product search behavioural economics be suggests the adoption of efficient appliances could be accelerated further by i monetising efficiency ii directly communicating the link between efficiency and carbon emissions iii communicating the long term e g operational life financial and environmental impact of product choices and iv framing the information as avoided losses extra rather than gains savings this study tested these hypotheses via an online stated preference survey of 465 uk residents using actual market pricing and efficiency data for washing machines the provision of information about either running costs or running emissions did encourage selection of more expensive and efficient products strongly correlated variables in the choice set and actual market p 001 r 30 41 with no statistically significant difference between their impact providing lifetime running cost information also nudged respondents towards more expensive efficient products than annual information p 006 027 r 15 18 finally loss framed running emissions information encouraged selection of more expensive efficient products than gain framed information p 05 r 13 16 the eu label is an impracticable means of communication but digital communication channels e g price comparison websites may offer potential for inexpensive localisation and personalisation of the information the results suggest that successful communication could benefit the private sector whilst making a contribution to reducing carbon emissions

carbon emissions and energy effects on a two level manufacturer retailer closed loop supply chain model with remanufacturing subject to different coordination mechanisms abstract this paper presents two models classical and vmi cs coordination for a two level closed loop supply chain with a manufacturer and a retailer with a facility to remanufacture used items the paper considers three critical environmental issues which are the energy used in production manufacturing and remanufacturing processes ghg emissions from production and transportation activities subject to a penalty tax and the number of times to remanufacture recover a used item numerical results show that the traditional optimization approach which minimises the sum of inventory related costs suggested less remanufacturing fewer recovery times and more ghg emissions and energy usage a result of operating at high production rates the vmi cs model was shown to be more economical than the classical model for a wide range of manufacturing rates but not necessarily a more environmentally responsible choice an extensive numerical analysis was conducted to enrich the discussion and to draw some managerial insights on how to make environmentally conscious decisions

willingness to pay for environmental practices implications for eco labeling consumer survey data collected in former west and east berlin after the unification of germany are used to address the issue of willingness to pay wtp for foods produced with techniques consistent with environmental stewardship results show differences in the wtp between residents of the two former german states attributed to area of residence residents of eastern city districts were generally less willing to pay a premium for foods produced with environmental friendly methods which suggests that marketing of such foods will be more successful in western districts unless educational efforts can be used to bridge the gap in the stated wtp

a literature study for dea applied to energy and environment abstract this study systematically summarizes previous research efforts on data envelopment analysis dea applied to energy and environment in the past four decades including concepts and methodologies on dea environmental assessment industrial developments are very important for all nations in terms of their economic prosperities a problem is that the development produces various pollutions on air water and other types of contaminations all of which are usually associated with our health problems and climate changes thus it is necessary for us to consider how to make a balance between economic success and pollution mitigation to maintain a high level of social sustainability in the world it is widely considered that dea is one of the methodologies to examine the level of sustainability this study examines a recent research trend on dea applications from 1980s to 2010s nowadays many researchers have paid serious attention on how to combat various difficulties in the areas of energy and environment as a result the number of articles on dea applications on energy and environment has dramatically increased particularly after 2000s however it is true that dea has strengths and drawbacks in the applications therefore it is very important for us to carefully use dea for guiding large policy issues and business strategies such as the global warming and climate change an underlying premise of this study is that technology innovation in engineering and natural science may solve various problems by linking it with political and managerial efforts the use of dea provides a methodological linkage among them so enhancing the practicality in mitigating problems due to climate change and environmental pollutions this literature study along with a summary on conceptual and methodological developments provides us with guidelines for our future research works on dea on energy and environment issues

optimal production for manufacturers considering consumer environmental awareness and green subsidies abstract manufacturers provide products that have distinct green levels i e higher degree of environmental friendliness to satisfy consumer demands with different green preferences a product with a higher green level generate fewer emissions but have higher costs to encourage those manufacturers to produce environmentally friendly products a government can implement subsidy policies this paper focuses on the decision making problem faced by manufacturers to determine which levels of green products to produce and production quantities at each green level we develop an optimization model under oligopolistic competition considering green preferences and subsidies with the objective of profit maximization for the manufacturers we prove the existence and uniqueness of equilibrium and propose a converged algorithm with theory of finite dimensional variational inequality numerical results show that an increase of consumer environmental awareness will incentivize manufacturers to produce more green products with higher green levels but this does not necessarily lead to higher profits for the manufacturers moreover a well designed subsidy policy can not only generate more profits for manufacturers but also save subsidy investment for the government in addition with the changes of consumer environmental awareness or and subsidy policy manufacturers may obtain more profits even if the competition is more fierce

optimal intertemporal consumption decisions under the threat of starvation abstract this paper studies consumption and saving decisions over time in a life cycle model in which survival from one period to the next is endogenous survival probabilities depend on health which is a capital stock subject to depreciation and which can be augmented by consumption nutrition borrowing is ruled out in our model and we investigate optimal consumption decisions when income fluctuates at seasonal frequencies and when income follows a stochastic process among other results we show that understanding the pattern of income is necessary for understanding consumption decisions when survival is probabilistic and endogenous

a nonparametric method to estimate a technical change effect on marginal abatement costs of u s coal power plants the literature usually assumes that technical change reduces marginal abatement cost however recent results suggest that precisely the opposite occurs this paper proposes a nonparametric method to determine the effect of technical change on marginal abatement cost the method decomposes nox marginal abatement cost changes in 2000 2004 and in 2004 2008 for 325 boilers operating in 134 u s bituminous coal power plant into technical and non technical change effects we find that technical change reduces the nox marginal cost about 28 3 in 2000 2004 and 26 5 in 2004 2008 however more stringent regulations enacted the nox budget program results in lower nox emission levels as plant operators install more advanced nox abatement equipment which in turn causes an overall increase in marginal abatement cost

quality investment and price decision in a risk averse supply chain abstract in this paper we investigate quality investment and price decision of a make to order mto supply chain with uncertain demand in international trade due to volatility of orders from buyers the supplier and the manufacturer in the supply chain are subject to financial risk in contrast to the general assumption that players in a supply chain are risk neutral in quality investment and price decision we consider the risk averse behavior of the players in three different supply chain strategies vertical integration vi manufacturer s stackelberg ms and supplier s stackelberg ss the study shows that both supply chain strategy and risk averse behavior have significant impacts on quality investment and pricing compared to a risk neutral supply chain a risk averse supply chain has lower same and higher quality of products in vi ms and ss respectively also we derive the conditions under which the supply chain strategy is implemented in a decentralized setting a numerical study is used to illustrate some related issues

co2 emission abatement cost and its decomposition a directional distance function approach accurately estimating carbon dioxide co2 abatement costs and effectively identifying the factors impacting those costs can improve the applicability and effectiveness of policy implementation this paper proposes a new method to estimate co2 abatement costs cac based on the directional distance function the method theoretically decomposes cac into carbon productivity and output elasticity of substitutions this decomposition can identify the types of cac the method also investigates the effects of development mode selection on cac by selecting different directional vectors following the theoretical discussion an empirical study is presented focusing on high energy consumption firms in the united states u s the results were as follows 1 in sustainable development mode changes in the average cac of all firms were caused both by carbon productivity and output elasticity of substitution carbon productivity dominated cac differences among different firm types 2 in general the amelioration potential of firm technology and environmental management was gradually explored by firms during sample period corresponding environmental regulatory strategies are needed for firms with different cac characteristics 3 firms selecting different development modes will realize significant differences in cac firms in the sustainable development mode had the highest cac levels however this mode was best for achieving a win win between economic benefits and environmental protection

collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps abstract negative impacts on environment such as carbon emissions and pollution resulting from the business activities of firms in a supply chain have attracted great attention worldwide hence one of the crucial issues for supply chain management is the trade off between economic objectives and environmental sustainability this paper focuses on investigating the government policy incentive mechanism with which supply chain members are motivated to work collaboratively to reduce carbon and pollutant emissions by investing in producing environmental friendly products efp such a mechanism affects the transfer price through negotiation between the supply chain firms and consequently it has an impact on the supply chain s value transition and profit allocation a collaborative supply chain decision making framework is formulated with environmental constraints and carbon caps its objective is to maximize the net present value of an integrated supply chain as well as satisfy the interests of its individual members our key contribution lies in exploring a decision making mechanism for an environmentally sustainable supply chain that is jointly constrained by environmental carrying capacities and carbon caps and also takes into account government policy incentives the results show that collaboration between supply chain members plays a crucial role in improving their environmental performance as the transfer price is determined through negotiations to share government subsidies to satisfy the individual interests of supply chain members while the level of pollutants and carbon emissions are in compliance with environmental standards

the role of revenue sharing and first mover advantage in emission abatement with carbon tax and consumer environmental awareness abstract in this study we explore the role of revenue sharing and first mover advantage in manufacturer s carbon emission abatement effort and the firms profitability in a linear demand setting where the government might impose some carbon emission charges and consumers may have environmental awareness we consider a supply chain system consisting of a manufacturer and a retailer either of them can move first to offer the other firm a wholesale price contract wp or a revenue sharing contract rs which is termed as abatement level promise strategy pr and abatement level requirement strategy rq respectively our analysis shows that under both pr and rq there exists a unique abatement level maximizing the manufacturer s profit in wp and rs respectively moreover both firms incentives for abatement are perfectly aligned under pr but are misaligned under rq when the marginal abatement cost is large contrary to conventional wisdom rs does not necessarily dull the manufacturer s effort in abatement it depends on whether she possesses first mover advantage and whether consumers have environmental awareness further with consumer environmental awareness numerically or without both firms always prefer to possess first mover advantage but the system s profit under rq is smaller than that under pr numerically surprisingly whether a greater share of revenue benefits a firm depending on whether the firm possesses first mover advantage numerically finally under both rq numerically and pr rs fails to coordinate the system

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

contract preferences and performance for the loss averse supplier buyback vs revenue sharing prior theory claims that buyback and revenue sharing contracts achieve equivalent channel coordinating solutions when applied in a dyadic supplier retailer setting this suggests that a supplier should be indifferent between the two contracts however the sequence and magnitude of costs and revenues i e losses and gains vary significantly between the contracts suggesting the supplier s preference of contract type and associated contract parameter values may vary with the level of loss aversion we investigate this phenomenon through two studies the first is a preliminary study investigating whether human suppliers are indeed indifferent between these two contracts using a controlled laboratory experiment with human subjects taking on the role of the supplier having to choose between contracts we find that contract preferences change with the ratio of overage and underage costs for the channel i e the newsvendor critical ratio in particular a buyback contract is preferred for products wit

the carbon constrained eoq model with carbon emission dependent demand abstract currently companies are looking for solutions to reduce carbon emissions associated with their operations operational adjustments such as modifications in batch sizes or order quantities have proven to be an effective way to decrease emissions in this paper a novel model is proposed that takes into account the link between an inventory policy eoq total carbon emissions and both price and environmental dependent demands in the case of an exogenous price two optimal quantities are determined which maximize a retailer s profit and which minimize carbon emissions conditions that allow a company to maximize profit while minimizing emissions and mechanisms that allow a firm to maximize its profit and to decrease its carbon emissions are determined in the case of an endogenous price some empirical results are also discussed when a firm optimizes its profit through both its selling price and its order quantity some experiments match empirical observations on the one hand an environmental strategy is more significant for cheaper and green labeled products on the other hand a public mechanism such as a carbon tax will decrease total and marginal emissions

neoclassical versus frontier production models testing for the skewness of regression residuals the empirical literature on production and cost functions is divided into two strands 1 the neoclassical approach that concentrates on model parameters 2 the frontier approach that decomposes the disturbance term to a symmetric noise term and a positively skewed inefficiency term we propose a theoretical justification for the skewness of the inefficiency term arguing that this skewness is the key testable hypothesis of the frontier approach we propose to test the regression residuals for skewness to distinguish the two competing approaches our test builds directly upon the asymmetry of regression residuals and does not require any prior distributional assumptions

joint pricing and inventory control for non instantaneous deteriorating items with partial backlogging and time and price dependent demand abstract in this paper a joint pricing and inventory control for non instantaneous deteriorating items is developed we adopt a price and time dependent demand function shortages is allowed and partially backlogged the major objective is to determine the optimal selling price the optimal replenishment schedule and the optimal order quantity simultaneously such that the total profit is maximized we first show that for any given selling price optimal replenishment schedule exists and unique then we show that the total profit is a concave function of price next we present a simple algorithm to find the optimal solution finally we solve a numerical example to illustrate the solution procedure and the algorithm

returns to scale and damages to scale under natural and managerial disposability strategy efficiency and competitiveness of petroleum firms environmental assessment recently becomes a major policy issue all over the world this study discusses how to use data environment analysis dea for environmental assessment for planning corporate strategy and international competitiveness an important feature of dea environmental assessment is that it classifies outputs into desirable good and undesirable bad outputs because all private and public entities produce not only desirable outputs but also undesirable outputs as a result of their production activities this study proposes the two types of output unification for dea environmental assessment by using a non radial model one of the two output unifications is that it considers a decrease in an input vector along with a decrease in the vector of undesirable outputs this type of unification is referred to as natural disposability the other unification considers an increase in an input vector but a decrease in the vector of undesirable outputs this type of strategy is referred to as managerial disposability both unifications increase the vector of desirable outputs after developing the two concepts on disposability this study theoretically explores how to measure returns to scale rts under natural disposability and damages to scale dts under managerial disposability to document the practicality of the proposed approach this study applies it to compare the performance of national oil firms with that of international oil companies this study identifies four important findings on the petroleum industry first national oil companies outperform international oil companies in the unified efficiency under natural disposability second international oil companies outperform national oil companies in the unified efficiency under managerial disposability third national oil firms exhibit a mixed result on rts while international oil firms exhibit decreasing rts finally both national and international oil companies exhibit increasing dts implying that all oil firms need to decrease their operational sizes for improving their environmental performance on co2 emission as an alternative strategy the result suggests that they need to introduce technology innovation e g clean air technology into their business operations the technology based strategy has more practicality than the size reduction in their operations

the effect of risk sensitivity on a supply chain of mobile applications under a consignment contract with revenue sharing and quality investment abstract the paper provides a thorough investigation of the revenue sharing contract format typically used in the mobile applications apps industry the platform provider sets the level of revenue sharing and the app developer determines the investment in quality and the selling price of the app the demand for an app which depends on both price and quality investment is assumed to be uncertain so the risk attitude of the supply chain members has to be considered specifically we focus on how risk sensitive behavior of supply chain members affects chain performance the members equilibrium strategies are analyzed under different attitudes toward risk averse neutral and seeking we show that the retailer s utility function has no effect on the equilibrium strategies and suggest schemes to identify these strategies for any utility function of the developer we find that i the revenue sharing contract circumvents the double marginalization effect associated with vertical competition and therefore yields the best selling price for the customer ii a decentralized supply chain sometimes performs better than a centralized one and iii a risk seeking developer may obtain a higher expected profit than does a risk neutral developer

supply chain contract design under financial constraints and bankruptcy costs we study contract design and coordination of a supply chain with one supplier and one retailer both of which are capital constrained and in need of short term financing for their operations competitively priced bank loans are available and the failure of loan repayment leads to bankruptcy where default costs may include variable proportional to the firm s sales and fixed costs without default costs it is known that simple contracts e g revenue sharing buyback and quantity discount can coordinate and allocate profits arbitrarily in the chain with only variable default costs buyback contracts remain coordinating and equivalent to revenue sharing contracts but are pareto dominated by revenue sharing contracts when fixed default costs are present thus for general bankruptcy costs contracts without buyback terms are of most interest quantity discount contracts fail to coordinate the supply chain since a necessary condition for coordination is to proportionally reallocate debt obligations w

optimal ordering and pricing policy for demand functions that are separable into price and inventory age abstract we formulate and analyze two models for determining the optimal pricing order quantity and replenishment period for items whose demand function is separable into components of price and inventory age the first model assumes a multiplicative demand function we provide conditions which are satisfied by most common price dependent demand functions to reduce the three variable profit maximization problem into a single variable problem which can be solved using an efficient line search method next we show that a genuine additive model cannot exist and instead suggest and analyze a pseudo additive model however this model is more limited than the multiplicative model in its ability to incorporate various combinations of price and inventory age effects and reduction of the maximization problem into a single variable problem is more complicated except in the case of a linear price effect which is further analyzed for both models we show that the optimal solution satisfies the first order condition for equilibrium under a monopoly with a modification that includes inventory holding costs we solve numerical examples to illustrate the solution procedures

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

managing carbon footprints in inventory management abstract there is a broad consensus that mankind must reduce carbon emissions to mitigate global warming it is generally accepted that carbon emission trading is one of the most effective market based mechanisms to curb the amount of carbon emissions this paper investigates how firms manage carbon footprints in inventory management under the carbon emission trading mechanism we derive the optimal order quantity and analytically and numerically examine the impacts of carbon trade carbon price and carbon cap on order decisions carbon emissions and total cost we make interesting observations from the numerical examples and provide managerial insights from the analytical results

issue in pollution control interplant cost differences and economies of scale debate on interplant pollution control cost differences focuses on the question of whether a system of taxes or transferable discharge permits should require those plants with low treatment costs to control a higher share of effluents another issue under debate is whether those industries with a large minimum size may be effectively barred by pollution control requirements evidence of the inefficiency of present institutional arrangements is shown by studying production function estimations of 30 pulp and paper mills in wisconsin and michigan a more efficient reallocation of pollution control resources could be effected with more market oriented regimes 58 references 6 tables dck

nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi nonparametric frontier abstract emissions trading or cap and trade is a market based approach providing economic incentives for achieving reductions in the emissions of pollutants marginal abatement costs mac also termed shadow prices of air pollution emissions provide valuable guidelines to support environmental regulatory policies for co2 so2 and nox the key contributors to climate change smog and acid rain this study estimates the marginal abatement cost of undesirable outputs with respect to the nash equilibrium on the stochastic semi nonparametric envelopment of data stoned in an imperfectly competitive market considering an endogenous price function of electricity the mixed complementarity problem micp is formulated to identify the nash equilibrium in a production possibility set the proposed model addresses the four issues of mac estimation in the existing literature applying the proposed method to an empirical study of 33 coal fired power plants operating in china in 2013 shows that stoned provides a robust frontier that is not sensitive to the outlier and the proposed interval of mac estimation validates the shadow prices corresponding to the nash equilibrium in an imperfectly competitive market

the shadow prices of co2 and so2 for chinese coal fired power plants a partial frontier approach abstract shadow prices are widely employed in guiding environmental policies this paper contributes to the literature by developing a novel partial frontier approach for estimating shadow prices the proposed method is advanced in handling outliers and provides a precise estimation of the marginal rate of substitution along the production frontier to cope with the different disposability characteristics of undesirable emissions so2 is treated as an environmental input that is strongly disposable because most different undesirable outputs are jointly reduced this study is the first to use directional derivatives instead of partial derivatives and proposes a new separation method that separates individual directional shadow price from the cost of joint reduction of multiple undesirable outputs we apply the proposed method to a sample of 93 coal fired power plants covering six years the estimated average shadow prices of co2 and so2 are 69 tonne and 2525 tonne under the newly developed partial frontiers when assuming some undesirable output to be strongly disposable both shadow prices fall 20 32 tonne and 1018 23 tonne the present paper suggests the estimated shadow prices will be much different across different levels of disposability the cost of joint reduction is calculated as 91 05 unit given the current production level which leads to a directional shadow price for the two undesirable outputs of 91 32 tonne and 1250 06 tonne the estimated shadow prices for both undesirable outputs dispersed widely under the partial frontiers spatial distribution of estimated shadow prices shows that coastal provinces and municipalities have higher co2 shadow prices but lower so2 shadow prices whereas the northeast provinces are the opposite the co2 shadow price is comparatively stable over the study period while the so2 shadow price fluctuates policy implications are discussed

what is the best practice for benchmark regulation of electricity distribution comparison of dea sfa and stoned methods electricity distribution is a natural local monopoly in many countries the regulators of this sector apply frontier methods such as data envelopment analysis dea or stochastic frontier analysis sfa to estimate the efficient cost of operation in finland a new stoned method was adopted in 2012 this paper compares dea sfa and stoned in the context of regulating electricity distribution using data from finland we compare the impacts of methodological choices on cost efficiency estimates and acceptable cost while the efficiency estimates are highly correlated the cost targets reveal major differences in addition we examine performance of the methods by monte carlo simulations we calibrate the data generation process dgp to closely match the empirical data and the model specification of the regulator we find that the stoned estimator yields a root mean squared error rmse of 4 with the sample size 100 precision improves as the sample size increases the dea estimator yields an rmse of approximately 10 but performance deteriorates as the sample size increases the sfa estimator has an rmse of 144 the poor performance of sfa is due to the wrong functional form and multicollinearity

supply chain coordination with green technology under cap and trade regulation abstract cap and trade regulation is generally accepted as one of the most effective market based mechanisms to curb carbon emissions in this paper we study the production and emission abatement decisions of a make to order supply chain consisting of a manufacturer and a retailer under cap and trade regulation specifically the manufacturer can reduce unit product carbon emission by using green technology with the cooperation of a retailer by certain contracts who sell the products to environment concerned consumers wholesale price and cost sharing contracts are considered in the supply chain we list some main conclusions here first as carbon trading price increases the optimal production quantities the optimal abatement levels firstly decrease increase and then remain constant second both wholesale price and cost sharing contracts can coordinate the supply chain last combining the optimal operational decisions under the two contracts with two part tariff agreement we design a contract in which the retailer pays a lump fee to the manufacturer and find that there is an interval of the lump fee to achieve pareto improvement for the two firms

a comparative analysis of greening policies across supply chain structures abstract in this paper we examine an apparel serial supply chain whose players initiate product greening we consider situations in which the players cooperate or act individually our problem is motivated by recent developments in the supply chains of global apparel players we build game theoretic models and show how greening levels prices and profits are influenced by channel structures we also study the impact of greening costs and consumer sensitivity towards green apparels we propose a two part tariff contract to coordinate the green channel our key contribution lies in the model of decision making of various supply chain structures and analyzing its impact on the players and supply chain the problem throws interesting insights into the strategies of apparel players and their key decisions

the environment as a factor of production the authors develop a model of environmental resource use in production with an empirical analysis of how electric power companies consume and bank sulfur dioxide pollution permits the model considers emissions fuels and labor as variable inputs with quasi fixed inputs of permits and capital incorporating information from permit markets allows the authors to distinguish between user costs and asset shadow values their findings indicate that firms are holding stocks of pollution permits for reasons other than short term cost savings the results also reveal substantial substitution possibilities between emissions permits stocks and other factors of production the authors speculate that anticipated secondary markets for carbon offset inventories related to the flexibility mechanisms of the kyoto protocol will have similar effects for greenhouse gas emitting firms

intertemporal efficiency analysis of sales teams of a bank stochastic semi nonparametric approach abstract the primary role of a bank branch is evolving from a service provider towards a sales channel previous branch level studies of sales efficiency consider a static setting of a single time period ignoring the stochastic nature of sales outcomes in this paper we examine efficiency and performance of sales teams in a bank branch network over time taking into account the changing demand and operational conditions as well as random disturbances the intertemporal sales frontier is estimated from the panel of monthly data over the years 2007 2010 using the stochastic semi nonparametric envelopment of data stoned method the efficiency scores of sales teams and the trajectories of performance over time allow managers and the sales force to learn from past events and to develop the managerial and work practices across the network while this study focuses on the case of a specific bank some of the innovative features of our approach are applicable to sales efficiency assessment in other banks and financial institutions as well as other network based sales organizations

carbon pricing versus emissions trading a supply chain planning perspective abstract carbon pricing taxes and carbon emissions trading are two globally practiced carbon regulatory policy schemes this paper presents an analytical supply chain planning model that can be used to examine the supply chain performance at the tactical operational planning level under these two policy schemes model implementation and analyses are completed using actual data from a company operating in australia where these environmental regulatory policies are practiced numerical results provide important managerial and practical implications and policy insights in particular the results show that there are inflection points where both carbon pricing and trading schemes could influence costs or emissions reductions an erratic nonlinear emissions reduction trend is observed in a carbon pricing scheme as the carbon price increases steadily whereas emissions reduction in a carbon trading scheme follows a relatively linear trend with a nonlinear cost increase overall a carbon trading mechanism although imperfect appears to result in better supply chain performance in terms of emissions generation cost and service level even though a carbon tax may be more worthwhile from an uncertainty perspective as emissions trading costs depend on numerous uncertain market conditions

does household consumption behave as a martingale a test for rural south india abstractthe hypothesis that consumption evolves over time as a martingale process is tested on household panel data for three villages in south india a novel feature of the methodology is that it gives consistent estimates of dynamic effects in short panels the estimated coefficients of lagged consumption are generally smaller than unity and a number of the lagged income and wealth variables are statistically significant the results are inconsistent with the proposition that consumption equals permanent income this is also true when the data are disaggregated by household wealth

environmental efficiency and abatement cost of china s industrial sectors based on a three stage data envelopment analysis abstract china has gained the reputation of global factory due to its phenomenal industrial growth over the past decades at the same time its industrial energy consumption has resulted in serious environmental problems accordingly there is an urgent and critical need to reduce industrial carbon emissions at a minimum cost without hampering the country s economic development the dual targets for carbon emission intensity and amount from the 12th five year 2011 2015 plan make it necessary to investigate the environmental efficiency and reduction costs of different sectors this study employs a three stage data envelopment analysis model based on a directional distance function approach with radial and non radial slacks of desirable and undesirable outputs considered to measure the environmental efficiency and marginal co2 emission abatement costs of china s 37 two digit industries during 2005 2014 based on the environmental efficiency and abatement cost of the industrial sectors we reached the following conclusions first the adjusted estimates differ significantly from the results that do not consider the influence of environmental factors and it is essential to consider the heterogeneity of industries in proposing emission reduction strategies in addition the stimuli for the smelting and pressing of metal industries result in cost reduction and the supervision on the top nine emitters and the equipment manufacturing industries should be strengthened finally the industrial sectors with large abatement potential are classified into short term and long term key target industries according to the emission abatement cost analyses

welfare and sustainability effects of dietary recommendations the paper develops a framework combining a model of rational behaviour under dietary constraints an epidemiological model of diet related mortality and a life cycle analysis model of environmental impact which permits the ex ante assessment of dietary recommendations in multiple sustainability dimensions i e taste cost welfare effect deaths avoided reductions in greenhouse gas emissions and acidification it is applied to compare in a french context the relative effects and efficiency of six popular sustainable diet recommendations the results confirm the synergies between the health and environmental dimensions healthy eating recommendations usually have a positive effect on the environment although some exceptions exist most of the sustainable diet recommendations appear highly cost effective but those most commonly promoted on health grounds e g targeting consumption of salt fruits and vegetables and saturated fat rank highest in terms of overall efficiency moreover the valuation of benefits indicates that in most cases health benefits are significantly larger than environmental benefits overall the analysis reveals some under investment in the promotion of sustainable diet recommendations in france the general lack of enthusiasm in policy circles for informational measures promoting behavioural change may reflect unrealistic expectations about the speed and magnitude of dietary change rather than an objective assessment of the efficiency of those measures

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

stochastic semi nonparametric frontier estimation of electricity distribution networks application of the stoned method in the finnish regulatory model abstract electricity distribution network is a prime example of a natural local monopoly in many countries electricity distribution is regulated by the government many regulators apply frontier estimation techniques such as data envelopment analysis dea or stochastic frontier analysis sfa as an integral part of their regulatory framework while more advanced methods that combine nonparametric frontier with stochastic error term are known in the literature in practice regulators continue to apply simplistic methods this paper reports the main results of the project commissioned by the finnish regulator for further development of the cost frontier estimation in their regulatory framework the key objectives of the project were to integrate a stochastic sfa style noise term to the nonparametric axiomatic dea style cost frontier and to take the heterogeneity of firms and their operating environments better into account to achieve these objectives a new method called stochastic nonparametric envelopment of data stoned was examined based on the insights and experiences gained in the empirical analysis using the real data of the regulated networks the finnish regulator adopted the stoned method in use from 2012 onwards

the impacts of carbon tax and complementary policies on chinese economy under the pressure of global warming it is imperative for chinese government to impose effective policy instruments to promote domestic energy saving and carbon emissions reduction as one of the most important incentive based policy instruments carbon tax has sparked a lively controversy in china this paper explores the impact of carbon tax on chinese economy as well as the cushion effects of the complementary policies by constructing a dynamic recursive general equilibrium model the model can describe the new equilibrium for each sequential independent period e g one year after carbon tax and the complementary policies are imposed and thus describe the long term impacts of the policies the simulation results show that carbon tax is an effective policy tool because it can reduce carbon emissions with a little negative impact on economic growth reducing indirect tax in the meantime of imposing carbon tax will help to reduce the negative impact of the tax on production and competitiveness in addition giving households subsidy in the meantime will help to stimulate household consumptions therefore complementary policies used together with carbon tax will help to cushion the negative impacts of carbon tax on the economy the dynamic cge analysis shows the impact of carbon tax policy on the gdp is relatively small but the reduction of carbon emission is relatively large

a multi product risk averse newsvendor with exponential utility function abstract we consider a multi product newsvendor using an exponential utility function we first establish a few basic properties for the newsvendor regarding the convexity of the model and monotonicity of the impact of risk aversion on the solution when the product demands are independent and the ratio of the degree of risk aversion to the number of products is sufficiently small we obtain closed form approximations of the optimal order quantities the approximations are as easy to compute as the risk neutral solution we prove that when this ratio approaches zero the risk averse solution converges to the corresponding risk neutral solution when the product demands are positively negatively correlated we show that risk aversion leads to lower higher optimal order quantities than the solution with independent demands using a numerical study we examine convergence rates of the approximations and thoroughly study the interplay of demand correlation and risk aversion the numerical study confirms our analytical results and further shows that an increased risk aversion does not always lead to lower order quantities when demands are strongly negatively correlated

multi item production planning with carbon cap and trade mechanism abstract carbon emission control becomes a challenge in recent years and carbon emission trading is an effective way to curb carbon emission this paper investigates the multi item production planning problem with carbon cap and trade mechanism in which a firm uses a common capacity and carbon emission quota to produce multiple products for fulfilling independent stochastic demands and the firm can buy or sell the right to emit carbon on a trading market of carbon emission a profit maximization model is proposed to characterize the optimization problem the optimal policy of production and carbon trading decisions is analyzed and an efficient solution method with linear computational complexity is presented for solving the optimal solution the impacts of carbon price carbon cap on the shadow price of the common capacity production decisions carbon emission and the total profit are investigated the comparisons of the carbon cap and trade policy and the taxation policy are given to show the effectiveness of the policies numerical analyses are presented for illustrating our findings and obtaining some managerial insights and policy implication

risk propensity and firm performance a study of the petroleum exploration industry this paper explores the differences in observed risk propensity among petroleum firms and their impact on firm performance in this work we 1 develop a decision theoretic model which measures a firm s risk propensity in the form of an implied utility function 2 investigate changes in corporate risk propensity with respect to changes in firm size and 3 examine the relationships between firms risk propensities and alternative dimensions of economic performance including ex post risk and return measures we also develop a new risk propensity measure the risk tolerance ratio rtr which controls for firm size and allows firms to be differentiated in terms of relative risk propensity the motivation for this work is managerial concerns regarding appropriate risk taking behavior and the effect of risky choice on firm performance this methodology has importance business strategy implications in that we are able to make strong inferences about causal relationships between ex ante risk taking and performance our findings are compelling in that corporate risk propensity seems to matter and that decisions about corporate risk policy have a significant impact on the petroleum firm s economic performance

the single period inventory model under dual sourcing and product carbon footprint constraint abstract important drivers for environmental sustainability efforts in purchasing and supply management are top management initiatives and compliance with laws and regulations on the other hand market forces are largely ignored although it is shown that the product carbon footprint contained on the product s eco label influences the purchasing decisions of consumers if it is disclosed by several companies in an industry then the product carbon footprint turns out to be a relevant competitive differentiator i e the company with lower emissions can increase its market share in this paper we consider the single period inventory model with product carbon footprint constraint an upper bound for the carbon footprint is specified as a benchmark derived either from the company s environmental target or from an industry standard in the case of one supply option the optimal order quantity is characterized by a one sided control limit policy especially for high profit products the environmental constraint is binding thus has a negative impact on the economic performance i e expected profit if a second supply option exists in the resulting dual sourcing framework with quick response two scenarios with different additional costs and emissions for the second emergency order are considered in the first scenario for both options the same supplier is used it applies to an offshore supplier because a fast transportation mode is considered here the structure of the optimal first order quantity is a two sided control limit policy in scenario two the second order comes from a different onshore supplier by comparing the fast and the onshore scenario the trade off between economic expected profit and environmental expected emissions performances is discussed

optimal inventory policy for a perishable item with demand function sensitive to price and time abstract we formulate a model for determining the optimal pricing order quantity and replenishment period for perishable items with price dependent and time dependent demand the items have a fixed shelf life and the demand rate decreases linearly in the selling price and polynomially over the time after replenishment until it vanishes either at the reservation price or at expiration time we prove that the three variable profit maximization problem can be reduced into a single variable problem in which the variable is the duration of the replenishment period we show that the profit function is strictly pseudo concave and provide means of obtaining the optimal policy three numerical examples are presented to demonstrate the model accompanied by a sensitivity analysis