re analyzing the economic impact of a global bunker emissions charge abstract regulating bunker emissions continues to be a challenging task largely due to the lack of a globally coordinated scheme providing economic and political incentives to potential participating countries this paper analyses the economic costs and benefits of imposing a global carbon tax on international bunker emissions by employing a computable general equilibrium model approach under the assumption of an emissions reduction of 5 below 2000 levels by 2020 we demonstrate that a global bunker emissions charge on one hand reduces trade volume and change trade patterns between countries and regions while on the other hand accelerates the adoption of energy saving technologies and reallocates the supply of international transportation services throughout the world the net economic impact though negative on average is modest compared to the benefits obtained from the emissions reduction if revenues from a bunker emissions charge are properly distributed among countries and regions the losses to disadvantaged countries are likely to be offset by the benefits to advantaged countries this finding provides useful insights for policy makers a global bunker emissions charge could in future be an economically feasible strategy to reduce the increasing bunker emissions through the implementation requires more political effort and wisdom

meta analysis in model implementation choice sets and the valuation of air quality improvements this research illustrates how the methods developed for meta analysis can serve to document and summarize voluminous information derived from repeated sensitivity analyses our application is to the sensitivity of welfare estimates derived from discrete choice models to assumptions about the choice set these assumptions affect welfare estimates through both the estimated parameters of the model and conditional on the parameters the substitution among alternatives in our specific application the evaluation is in terms of estimated benefits of air quality improvements in los angeles based on discrete choices of neighborhood and housing copyright 2007 john wiley sons ltd

designing supply contracts contract type and information asymmetry this paper studies the value to a supplier of obtaining better information about a buyer s cost structure and of being able to offer more general contracts we use the bilateral monopoly setting to analyze six scenarios three increasingly general contracts wholesale pricing schemes two part linear schemes and twopart nonlinear schemes each under full and incomplete information about the buyer s cost structure we allow both sides to refuse to trade by explicitly including reservation profit levels for both for the supplier this is implemented through a cutoff policy we derive the supplier s optimal contracts and profits for all six scenarios and examine the value of information and of more general contracts our key findings are as follows first the value of information is higher under two part contracts second the value of offering two part contracts is higher under full information and third the proportion of buyers the supplier will choose to exclude can be substantial

impact of information sharing and lead time on bullwhip effect and on hand inventory abstract this work analyzes a two echelon warehouse retailer serial supply chain to study the impact of information sharing is and lead time on bullwhip effect and on hand inventory the customer demand at the retailer is assumed to be an autoregressive ar 1 process both the echelons use a minimum mean squared error mmse model for forecasting lead time demand ltd and follow an adaptive base stock inventory policy to determine their respective order quantities for the cases of without is and inter as well as intra echelon is expressions for the bullwhip effect and on hand inventory for the warehouse are obtained considering deterministic lead time the results are compared with the previous research work and an easy analysis of the various bullwhip effect expressions under different scenarios is done to understand the impact of is on the bullwhip effect phenomenon it is shown that some part of bullwhip effect will always remain even after sharing both inter as well as intra echelon information further with the help of a numerical example it is shown that the lead time reduction is more beneficial in comparison to the sharing of information in terms of reduction in the bullwhip effect phenomenon

social cost of environmental quality regulations a general equilibrium analysis the use of cost benefit analysis by federal regulatory agencies has expanded greatly in scope and sophistication unfortunately agencies continue to employ private cost rather than social cost to evaluate environmental quality regulations furthermore general equilibrium impacts and intertemporal effects of regulations are typically not included in the evaluation in this paper we estimate the social cost of environmental quality regulations mandated by the clean air and clean water acts we construct an econometric general equilibrium model of the united states to demonstrate that social cost estimates diverge sharply from private cost estimates we also demonstrate that general equilibrium impacts are significant and pervasive and that intertemporal effects of the regulations heretofore ignored are significant

technical note impact of inventory on quota bonus contracts with rent sharing we study the impact of limited inventory on optimal sales force compensation contracts we adopt a principal agent framework characterized by limited liability and rent sharing with the agent a commonly invoked assumption in the inventory management literature is that the demand distribution satisfies the increasing failure rate ifr property under this assumption however past research has established that a quota bonus contract a widely adopted sales force compensation contract in the practice cannot sustain in equilibrium we show that because of demand censoring in the presence of limited inventory i e demand realizations higher than the inventory level are unobservable a quota bonus contract is the optimal equilibrium contract and it exists even for a demand distribution with the ifr property since most well known distributions satisfy the ifr property and inventory constraints are operative in many real world situations our results significantly extend the scope of the optimality of q

customer order information leadtimes and inventories we have an inventory to manage the scenario is standard in all respects save one instead of arriving unannounced customers provide advance warning of their demands how should we use this information and what is its effect on system performance the answers turn out to be strikingly simple there are very simple policies which perform effectively in some cases optimally also such demand leadtimes improve performance in precisely the same way that replenishment leadtimes degrade it

valuation of natural resource improvements in the adirondacks for 20 years acid rain in the adirondack park has been a central issue in the debate about clean air regulation based on a contingent valuation survey of new york residents our study quantifies the total economic value of expected ecological improvements in the park from forthcoming policies our preferred estimates of the mean household willingness to pay range from 48 to 107 annually which imply total statewide benefits ranging from 336 million to 749 million annually alternative assumptions about ecological changes yield benefits up to 1 1 billion the instrument passes external scope sensitivity to bid and sample selection tests

renewable resource use and nonseparable amenity benefits we incorporate amenity benefits into an overlapping generations model with a renewable resource as a factor of production source of amenity benefits and store of value unlike the conventional renewable resource problems studied under the assumption of additive consumption and amenity benefits we let amenity benefits affect the utility of consumers in a nonseparable fashion we examine the role that weights given to consumption and amenities have for harvesting and the resource stock we characterize dynamics and stability of steady state equilibria with a logistic resource growth function we demonstrate in parametric and numerical models that the weights given to consumption and amenities in the utility function matter substantially for the steady state equilibrium stock and its stability and dynamics both conventional saddle point equilibria and indeterminacy with infinite number of equilibria and saddle node bifurcation is possible depending on the weights given to consumption and amenities in addition we show that for each inefficient equilibrium stock there is a unique subsidy rate that can move the economy from an inefficient equilibrium to an efficient one the presence of indeterminacy provides a challenge to resource policies because the system becomes unpredictable therefore expectations and market psychology may play an important role in resource utilization and provision of amenities

non price equilibria for non marketed goods abstract as part of the resources for the future frontiers of environmental economics collection of papers we consider the problem of general equilibrium feedback effects in non price space as they relate to non market valuation our overall objective is to examine the extent to which non price equilibria arising from both simple and complex sorting behavior can be empirically modeled and the resulting differences in partial and general equilibrium welfare measures quantified after motivating the problem in general we consider the specific context of congestion in recreation demand applications which we classify as the outcome of a simple sorting equilibrium using both econometric and computable general equilibrium cge models we examine the conceptual and computational challenges associated with this class of problems and present findings on promising solution avenues we demonstrate the relevance of accounting for congestion effects in recreation demand with an application to lake visits in iowa our econometric and cge results confirm that for some plausible counterfactual scenarios substantial differences exist between partial and general equilibrium welfare estimates we conclude the paper by describing tasks that are needed to move forward research in this area

the economics of dams dams provide a host of benefits to societies helping to balance variability in water availability with demand for multiple uses allowing power generation providing and enhancing recreation opportunities and offering protection against damaging floods yet dams are often controversial due to their high investment requirements unequal distributional effects and concerns over the irreparable harm they may cause to free flowing rivers and ecosystems this paper considers the economic case for such projects organized around a review of what we know about their value and impacts though heterogeneity across contexts is a common feature of interventions in many sectors we argue that it is particularly acute in the case of dams and that this creates difficulties for drawing general conclusions about their social value still evidence suggests that investment in additional surface water storage may not always be the best solution for addressing water scarcity furthermore a number of biases and blind spots exist in economic frameworks used to evaluate dams and these often challenge analysts ability to correctly identify which projects will be most attractive perhaps due to some of these perceived deficiencies policy makers do not appear to make much use of economic analyses for decision making about dams if progress is to be made in avoiding costly mistakes related to construction and removal of such infrastructures in the future economists need to improve the realism and methods underlying their analyses of the value of dams and offer more useful interpretations of the results that these approaches produce

bayes solution to dynamic inventory models under unknown demand distribution this paper considers the periodic review inventory problem for which one or more parameters of the demand distribution are unknown with a known prior distribution chosen from the natural conjugate

a capacitated production inventory model with periodic demand for a single product single stage capacitated production inventory model with stochastic periodic cyclic demand we find the optimal policy and characterize some of its properties we study the finite horizon the discounted infinite horizon and the infinite horizon average cases a simulation based optimization method is provided to compute the optimal parameters based on a numerical study several insights into the model are also provided

value of information in capacitated supply chains we incorporate information flow between a supplier and a retailer in a two echelon model that captures the capacitated setting of a typical supply chain we consider three situations 1 a traditional model where there is no information to the supplier prior to a demand to him except for past data 2 the supplier knows the s s policy used by the retailer as well as the end item demand distribution and 3 the supplier has full information about the state of the retailer order up to policies continue to be optimal for models with information flow for the finite horizon the infinite horizon discounted and the infinite horizon average cost cases study of these three models enables us to understand the relationships between capacity inventory and information at the supplier level as well as how they are affected by the retailer s s s values and end item demand distribution we estimate the savings at the supplier due to information flow and study when information is most beneficial

inventory control in a fluctuating demand environment we present an inventory model where the demand rate varies with an underlying state of the world variable this variable can represent economic fluctuations or stages in the product life cycle for example we derive some basic characteristics of optimal policies and develop algorithms for computing them in addition we show that certain monotonicity patterns in the problem data are reflected in the optimal policies

the substantial bias from ignoring general equilibrium effects in estimating excess burden and a practical solution we show that under typical conditions the simple excess burden triangle formula substantially underestimates the excess burden of commodity taxes in some cases by a factor of 10 or more this formula performs poorly because it ignores general equilibrium interactions most important interactions between the taxed commodity and the labor market many prior studies have shown that general equilibrium interactions affect excess burden but have not appreciated the bias associated with ignoring these interactions or the quantitative importance of this bias we derive an implementable alternative to the simple formula this alternative formula captures interactions that the simple formula omits as a result it is both unbiased and usually more accurate

valuing nature in a general equilibrium abstract we explore the consequences of modeling the demand for environmental quality improvements as a fully integrated part of a general equilibrium demand system in an applied general equilibrium or cge analysis demand for non market goods depends on a full range of relative prices as well as environmental outcomes we simulate the effects of reducing two air pollutants to improve human health and three ecosystem services provided to households the ecosystem services make non separable contributions to household utility we find that willingness to pay measures of use based ecosystem services are impacted by changes in demand for complementary market goods demand for these goods shifts due to pollution reductions that enhance ecosystem services partial equilibrium estimates of these use values can be measured with substantial error if they fail to account for the general equilibrium adjustments caused by pollution over 300 calibrations of the model identify the model features important to these errors we find that effects on ecosystem services associated with non use values have important implications for the feedback effects on use related measures of economic tradeoffs this is due to how our model integrates market and non market effects reflecting the non market services importance to general equilibrium market outcomes

capital investment for optimal exploitation of renewable resource stocks in the age of global change abstract the world is rapidly changing and biotic resources and their users are adapting determining how ecological and economic interactions determine the outcomes of this adaptation is critical to understanding the future of natural resources we model a two species fisheries as a stylized system to investigate the adaptation strategies of a harvester faced with shifting species composition in an ecological community we explore how interspecies interactions and pricing effects jointly determine the optimal adaptation strategy we consider two interacting species that are harvested jointly but where the harvester may exert effort towards each species differentially provided she invests in reproducible capital that allows targeting the possible adaptation strategies comprise changes in how people interact with natural capital for example changing harvest levels and investment in reproducible or human capital which may be a substitute or complement for natural capital stocks we find that the market price of the harvested species exerts a particularly strong impact on the adaptation strategy all else equal unequal prices tends to drive extreme targeting or avoidance of a new species economic and ecological factors can necessitate investment at equilibrium and early transient management decisions for beneficial species may like with nuisance species produce large benefits

the bullwhip effect in supply chain networks this paper analyzes the propagation and amplification of order fluctuations i e the bullwhip effect in supply chain networks operated with linear and time invariant inventory management policies the supply chain network is allowed to include multiple customers e g markets any network structure with or without sharing information the paper characterizes the stream of orders placed by any supplier for any stationary customer demand processes and gives exact formulas for the variance of the orders placed and the amplification of order fluctuations the paper also derives robust analytical conditions based only on inventory management policies to predict the presence of the bullwhip effect for any network structure any inventory replenishment policies and arbitrary customer demand processes numerical examples show that the analytical results accurately quantify the bullwhip effect managerial insights are drawn from the analysis the methodology presented in this paper generalizes those in previous studies for serial supply chains

impact of product pricing and timing of investment decisions on supply chain co opetition abstract in supply chain co opetition firms simultaneously compete and co operate in order to maximize their profits we consider the nature of co opetition between two firms the product supplier invests in the technology to improve quality and the purchasing firm buyer invests in selling effort to develop the market for the product before uncertainty in demand is resolved we consider three different decision making structures and discuss the optimal configuration from each firm s perspective in case 1 the supplier invests in product quality and sets the wholesale price for the product the buyer then exerts selling effort to develop the market and following demand potential realization sets the resale price in case 2 the supplier invests in product quality followed by the buyer s investment in selling effort then after demand potential is observed the supplier sets the wholesale price and the buyer sets the resale price finally in case 3 both firms simultaneously invest in product quality and selling effort respectively subsequently observing the demand potential the supplier sets the wholesale price and the buyer sets the resale price we compare all configuration options from both the perspective of the supplier and the buyer and show that the level of investment by the firms depends on the nature of competition between them and the level of uncertainty in demand our analysis reveals that although configuration 1 results in the highest profits for the integrated channel there is no clear dominating preference on system configuration from the perspective of both parties the incentives of the co opetition partners and the investment levels are mainly governed by the cost structure and the level of uncertainty in demand we examine and discuss the relation between system parameters and the incentives in desiging the supply contract structure

inventory dynamics in process industries an empirical investigation process industry firms have thrived in recent decades but changes in the markets are currently putting both growth and profitability at risk in this context inventory management is increasingly viewed as an essential lever for creating a sustainable competitive advantage despite this many firms struggle to implement best practices because of industry specific constraints this research explores how seven fundamental characteristics of process industries drive inventory performance we empirically investigate four process industries and four peer industries using financial accounting credit rating stock market and trading data and implement a seemingly unrelated regression sur equations model our results show that capital intensity capital costs transportation costs delivery time price volatility demand uncertainty and gross margin directly affect a company s degree of freedom in terms of inventory management and illustrate that inventory management in process industries follows different dynamics this study enhances the understanding of inventory drivers and gives practitioners a tool to guide future improvement efforts

retailer policy uncertainty reduction and supply chain performance abstract we investigate how the retailer s inventory policy affects the total cost of a serial supply chain when the retailer uses the locally optimal s s policy there is randomness in order time and order quantity to the supplier whereas the supplier sees randomness only in order quantity for the suboptimal r t policy and only in order time for another suboptimal q r policy using an extensive computational study we find that the suboptimal policies perform better from the total supply chain perspective the benefit of policy changes is magnified when the retailer costs are low when the supplier costs are high and when there is information sharing

evaluating policy interventions with general equilibrium externalities abstract we report on the results of analytical and numerical models that describe the effects of non separable externalities or public goods on public policies with important general equilibrium consequences in the numerical exercise we calibrate a general equilibrium model with non separable air quality benefits in order to measure the excess burden and total net benefits of transportation and energy taxes in the 1995 u s economy the change in the physical level and the economic value in air quality associated with a given policy is a function of the substitution patterns between air quality and market goods that we assume the size of the deadweight loss due to pre existing distortions such as a tax on labor income is substantially affected by these substitution patterns

stalking information bayesian inventory management with unobserved lost sales retailers are frequently uncertain about the underlying demand distribution of a new product when taking the empirical bayesian approach of scarf 1959 they simultaneously stock the product over time and learn about the distribution assuming that unmet demand is lost and unobserved this learning must be based on observing sales rather than demand which differs from sales in the event of a stockout using the framework and results of braden and freimer 1991 the cumulative learning about the underlying demand distribution is captured by two parameters a scale parameter that reflects the predicted size of the underlying market and a shape parameter that indicates both the size of the market and the precision with which the underlying distribution is known an important simplification result of scarf 1960 and azoury 1985 which allows the scale parameter to be removed from the optimization is shown to extend to this setting we present examples that reveal two interesting phenomena 1 a retailer may hope that compared to stocking out realized demand will be strictly less than the stock level even though stocking out would signal a stochastically larger demand distribution and 2 it can be optimal to drop a product after a period of successful sales we also present specific conditions under which the following results hold 1 investment in excess stocks to enhance learning will occur in every dynamic problem and 2 a product is never dropped after a period of poor sales the model is extended to multiple independent markets whose distributions depend proportionately on a single unknown parameter we argue that smaller markets should be given better service as an effective means of acquiring information

optimal environmental border adjustments under the general agreement on tariffs and trade a country choosing to adopt border carbon adjustments based on embodied emissions is motivated by both environmental and strategic incentives we argue that the strategic component is inconsistent with commitments under the general agreement on tariffs and trade gatt we extend the theory of border adjustments to neutralize the strategic incentive and consider the remaining environmental incentive in a simplified structure the theory supports border adjustments on carbon content that are below the domestic carbon price because price signals sent through border adjustments inadvertently encourage consumption of emissions intensive goods in unregulated regions the theoretic intuition is supported in our applied numeric simulations countries imposing border adjustments at the domestic carbon price will be extracting rents from unregulated regions at the expense of efficient environmental policy and consistency with international trade law

a note on optimal taxation in the presence of externalities abstract i consider the problem of optimal taxation with externalities in a general setup encompassing most of optimal taxation models found in the literature it is demonstrated that when direct taxation of externalities is possible optimal taxes can be expressed as the sum of the optimal pigouvian taxes and the optimal taxes in a related problem without externalities regardless of what other tax instruments are available this result generalizes the so called principle of targeting

latent tastes incomplete stratification and the plausibility of vertical sorting models this paper uses the 2011 phoenix area social survey to evaluate the plausibility of the assumptions made with pure characteristics sorting models to rationalize incomplete stratification of households across local communities by income the analysis with the new ecological paradigm a well recognized index of environmental attitudes confirms the correlations in equilibrium outcomes implied by these models as a result it provides the first empirical support for the role of differences in the tastes for public goods as one explanation that provides the rationale for the commonly observed sorting outcomes

the impacts of the full returns policy on a supply chain with information asymmetry abstract in contrast to the existing return policies literature assuming that information is symmetrical between the manufacturer and the retailer we study the full returns policy s impact on supply chains with information asymmetry we first study the case that the base level of the demand follows a discrete distribution with two states we find that the retailer benefits from the full returns policy in all circumstances while the manufacturer and the supply chain are better off under some conditions we then consider the situation in which the base level of the demand is a type of ar 1 process

reliability evaluation and adjustment of supply chain network design with demand fluctuations this study focuses on supply chain network design problems by considering economies of scale and demand fluctuations a reliability evaluation method is developed to evaluate the performance of plants under demand fluctuations in addition two mathematical programming models are developed to determine the optimal adjustment decisions regarding production reallocation among plants under different fluctuating demands the judgments to adjust or to do nothing are investigated by comparing the results if the adjustment is made or not made results show that making adjustments benefits the manufacturers by reducing total production cost and avoiding revenue loss which outweighs the extra costs especially for high value added products results also suggest that the manufacturer should ignore a short period abnormal state since the benefits to respond to it might not compensate the high allocation costs the results of this study provide a reference for the manufacturer in their decision making process of network planning with demand fluctuations when they have to cope with benefits and costs during abnormal states

myopic policies for some inventory models with uncertain demand distributions the majority of papers on stochastic inventory theory make the assumption that the distribution of consumer demand in each time period is known with certainty while this assumption is unsupported in many applied contexts it is conventionally held that more realistic models are more difficult to solve and will not yield simple operational policies this paper shows that a simple inventory policy based upon a critical fractile can be optimal or near optimal in some inventory models with parameter adaptive demand processes in these some parameter of the demand distribution is not known with certainty and estimates of the parameter are updated in a statistical fashion as demand is observed through time examples include exponentially smoothed forecasts and bayesian updating of parameter estimates bounds on the value loss relative to optimal cost when using the critical fractile policy can be calculated directly from the problem data some numerical examples illustrate the technique

a stackelberg model of pricing of complementary goods under information asymmetry abstract we consider a duopoly market where two separate firms offer complementary goods in a leader follower type move each firm has private forecast information about the uncertain market demand and decides whether to share it with the other firm we show that information sharing would benefit the leader firm but hurt the follower firm as well as the total system if the follower firm shares information unconditionally we then devise a simple to implement information sharing scheme under which both firms and the total system are better off we also provide several interesting managerial insights and establish the robustness of the model in managing a supply chain through our analytical and simulation results

a revealed preference approach to the measurement of congestion in travel cost models abstract travel cost models are regularly used to determine the value of recreational sites or particular site characteristics yet congestion a key site attribute is often excluded from such analyses one reason for this omission is that congestion is determined in equilibrium by the process of individuals sorting across sites and thus presents significant endogeneity problems this paper illustrates this source of endogeneity describes how previous research has dealt with it using stated preference techniques and describes an instrumental variables approach to address it in a revealed preference context we demonstrate that failing to address the endogeneity of congestion leads one to dramatically understate its costs we apply our technique to the valuation of a large recreational fishing site in wisconsin lake winnebago which if eliminated would induce significant re sorting of anglers amongst remaining sites ignoring congestion leads to an understatement of the lake s value by more than 50

a note on price discount based on early order commitment in a single manufacturer multiple retailer supply chain abstract early order commitment eoc is a strategy for supply chain coordination wherein the retailer commits to purchasing from a manufacturer a fixed order quantity a few periods in advance of the regular delivery lead time in this paper we formulate and analyze the eoc strategy for a decentralized two level supply chain consisting of a single manufacturer and multiple retailers who face external demands that follow an autocorrelated ar 1 process over time we characterize the special structure of the optimal solutions for the retailers eoc periods to minimize the total supply chain cost and discuss the impact of demand parameters and cost parameters we then develop and compare three solution approaches to solving the optimal solution using this optimal cost as the benchmark we investigate the effectiveness of using the wholesale price discount scheme for the manufacturer to coordinate this decentralized system we give numerical examples to show the benefits of eoc to the whole supply chain examine the efficiency of the discount scheme in general situation and provide the special conditions when the full coordination is achieved

measuring welfare loss caused by air pollution in europe a cge analysis abstract to evaluate the socio economic impacts of air pollution we develop an integrated approach based on computable general equilibrium cge applying our approach to 18 western european countries shows that even there where air quality is relatively high compared with other parts of the world health related damages caused by air pollution may be substantial we estimate that as of 2005 europe experienced an annual loss in consumption of about 220 billion euro in year 2000 prices about 3 of total consumption with a range based on 95 high and low epidemiological response functions of 107 335 billion euro and a total welfare loss of about 370 billion euro range of 209 550 including both consumption and broader welfare losses around 2 of welfare level due to the accumulated effects of three decades of air pollution in europe in addition we estimate that a set of air quality improvement policy scenarios as proposed in the 2005 cafe program would bring 18 european countries as a whole a welfare gain of 37 49 billion euro year 2000 prices in year 2020 alone

characterization of the bullwhip effect in linear time invariant supply chains some formulae and tests the authors analyze the bullwhip effect in multistage decentralized supply chains operated with linear and time invariant inventory management policies the focus is on robustness the supply chain is modeled as a single input single output control system driven by arbitrary customer demands the authors derive robust analytical conditions to predict the presence of the bullwhip effect and bound its magnitude based only on the way inventories are managed these results hold independently of the customer demand the authors also characterize the stream of orders placed at any stage of the chain when the customer demand process is known and ergodic and give an exact formula for the variance of the orders placed this formula generalizes existing results by broadening the class of inventory replenishment policies and customer demand processes to which it applies the authors also show that the bullwhip effect can be mitigated by introducing commitments for future orders into the ordering policies