the sustainable supply chain network competition with environmental tax policies abstract this paper captures different environmental tax policies in a multi tiered supply chain network competition context we derive the governing equilibrium conditions for the noncooperative game theory models for each firm and provide the equivalent variational inequality formulations the numerical examples investigate the impacts of emission tax policies and product differentiation on the competing firms and compare the effects of different environmental policies flat emission tax rates progressive emission taxes and the government command and control regulations with emission standards on equilibrium product demands prices total emissions and overall profits the computational results indicate that the implementation of environmental tax policies along with an increase in consumers environmental concerns can not only motivate the firms to perform sustainable operations but also reduce the total carbon footprint furthermore the low cost progressive emission tax policies can be as effective as the high flat emission tax rate in terms of reduction in carbon footprint therefore the model developed in this paper can be used by the policymakers and the firms to evaluate the effects of different environmental tax policies in a supply chain competition context

environmental tax on products and services based on their carbon footprint a case study of the pulp and paper sector the main aim of this work is to define an environmental tax on products based on their carbon footprint we examine the relevance of life cycle analysis lca and environmentally extended input output analysis eio as methodological tools for identifying the emission intensities on which the tax is based the price effects of the tax and the policy implications of considering non co2 greenhouse gases ghg are also analyzed the results from the case study on pulp production show that the environmental tax rate based on lca 1 8 is higher than both eio approaches 0 8 and 1 4 for product and industry respectively but they are of the same order of magnitude although lca is more product specific and provides a more detailed analysis we recommend eio as a more relevant approach to applying an economy wide environmental tax if an environmental tax were applied to non co2 ghg instead to co2 alone the tax would greatly affects sectors such as agriculture mining of coal extraction of peat and food therefore it is worthwhile for policy makers to pay attention to the implications of considering either a co2 tax or a global ghg emissions tax in order to make their policy measures effective and meaningful

imposing emission trading scheme on supply chain separate and joint implementation abstract in response to global warming it is urgent to control and reduce greenhouse gas ghg emissions especially from the supply chain perspective the most often discussed topic in this domain indicates that emission trading scheme ets could be employed as one of policy instruments for supply chain emissions management via mathematical models scholars have shown that the employment of emission trading is affecting supply chain performances both environmental and economic in different levels however previous literature focus on the cost effectiveness analysis only from the mathematical aspect to provide policy makers and companies with the theoretical bases on this hot topic it is significant to discuss how ets one of market based instruments could be imposed in the context of supply chain from the mechanical point of view by incorporating ideas from relevant literature this paper generates two concepts modes in imposing ets on supply chain jointly imposed supply chain emission trading e g jointly imposed sc ets and separately imposed supply chain emission trading e g separately imposed sc ets it illustrates the working principles of both concepts modes and conducts a sandbox example to analyze the cost effectiveness of them furthermore this paper discusses the challenges and opportunities of implementing two modes from practical aspects results of quantitative analysis and discussion show that for the sake of both policy makers and supply chain companies the separately imposed sc ets allowing selling permits would be so far the better mode to manage supply chain ghg emissions compared to the jointly imposed sc ets

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

design of sustainable supply chains under the emission trading scheme increase in environmental concerns together with legislations are forcing industries to take a fresh look at the impact of their supply chain operations on the environment this paper introduces a mixed integer linear programming based framework for sustainable supply chain design that considers life cycle assessment lca principles in addition to the traditional material balance constraints at each node in the supply chain indeed the framework distinguishes between solid and liquid wastes as well as gaseous emissions due to various production processes and transportation systems the framework is used to evaluate the tradeoffs between economic and environmental objectives under various cost and operating strategies in the aluminum industry the results suggest that current legislation and emission trading schemes ets must be strengthened and harmonized at the global level in order to drive a meaningful environmental strategy moreover the model demonstrates that efficient carbon management strategies will help decision makers to achieve sustainability objectives in a cost effective manner

coordination and learning behavior in large groups with asymmetric players we study a class of large group noncooperative iterated market entry games with complete information binary choices and asymmetric players in which the incentive of each player to enter the market decreases the larger the number of entrants experimental results from two different studies show remarkable coordination on the aggregate level which is accounted for successfully by the nash equilibrium solution the equilibrium solution is less successful in accounting for the differences among types of players with differential entry costs or differences among players of the same type rather the behavioral patterns observed on the aggregate level are accounted for by a reinforcement based learning model postulating an initial distribution of individual cutoff points these cutoff points are assumed to change over time at a decreasing rate as a joint function of the decision and outcome of the preceding period journal of economic literature classification numbers c7 d5 d8 2002 elsevier science usa

a note on price and quantity competition in differentiated oligopolies abstract in this note we show that the results developed in n singh and x vives 1984 rand j econ 15 546 554 are sensitive to the duopoly assumption if there are more than two firms prices may be higher under price competition than under quantity competition this will be the case if quality differences are large and goods are complements if goods are substitutes high quality firms may earn higher profits under price competition than under quantity competition hence it is not evident which kind of competition is more efficient journal of economic literature classification numbers d43 l13

optimal production planning with emissions trading emissions trading is a market based mechanism for curbing emissions and it has been implemented in europe north america and several other parts of the world to study its impact on production planning we develop a dynamic production model where a manufacturer produces a single product to satisfy random market demands the manufacturer has access to both a green and a regular production technology of which the former is more costly but yields fewer emissions to comply with the emissions regulations the manufacturer can buy or sell the allowances in each period via forward contracts in an outside market with stochastic trading prices while needing to keep a nonnegative allowance account balance at the end of the planning horizon we first derive several important structural properties of the model and based upon them we characterize the optimal emissions trading and production policies that minimize the manufacturer s expected total discounted cost in particular the optimal emissions trading pol

sustainable fashion supply chain management under oligopolistic competition and brand differentiation abstract in this paper we developed a new model of oligopolistic competition for fashion supply chains in the case of differentiated products with the inclusion of environmental concerns the model assumes that each fashion firm s product is distinct by brand and the firms compete until an equilibrium is achieved each fashion firm seeks to maximize its profits as well as to minimize its emissions throughout its supply chain with the latter criterion being weighted in an individual manner by each firm the competitive supply chain model is network based and variational inequality theory is utilized for the formulation of the governing nash equilibrium as well as for the solution of the case study examples the numerical examples illustrate both the generality of the modeling framework as well as how the model and computational scheme can be used in practice to explore the effects of changes in the demand functions in the total cost and total emission functions as well as in the weights

delay in payments a strategy to reduce carbon emissions from supply chains abstract the purpose of this paper is to study the effects of various scenarios of delay in payments a form of trade credit by a buyer after receiving items while including various costs such as fuel cost the costs of carbon emissions from manufacturing and transportation activities order cost and setup cost in a two echelon coordinated supply chain the model developed optimizes the environmental and economic performance of a supply chain the study presents a comparison of different scenarios through numerical examples and sensitivity analyses the main contribution of this paper is the joint consideration of delays in payments and the costs of transportation cost and carbon emissions the model has been tested with numerical examples and sensitivity analyses the findings showed that adopting delays in payments improves both environmental and economic performance of a supply chain the analyses also showed that optimizing one of the parameters from the production rate the length of delay in payments or the lot size provides the optimal solution for carbon emissions and the system cost of a supply chain this flexibility makes the model easy to use by practitioners

the effects of environmental quality misperception on investments and regulation abstract this paper analyzes whether consumers misperception on the quality of the product influences firms investment choices we examine a setup with horizontal and vertical green differentiation where consumers are heterogeneous in the exogenous perception of environmental quality demands true qualities and profits are increasing in the perception of higher quality while the investment in green quality is high for high and low degrees of product substitutability we further consider the introduction of either an emission tax or an environmental standard both interventions increase the investment in green quality we show that for low marginal damages the environmental standard increases quality while taxation is more effective when the environmental damage is large

tactical supply chain planning under a carbon tax policy scheme a case study greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change industry and their supply chains represent a major source of these emissions this paper presents a tactical supply chain planning model that integrates economic and carbon emission objectives under a carbon tax policy scheme a modified cross entropy solution method is adopted to solve the proposed nonlinear supply chain planning model numerical experiments are completed utilizing data from an actual organization in australia where a carbon tax is in operation the analyses of the numerical results provide important organizational and policy insights on 1 the financial and emissions reduction impacts of a carbon tax at the tactical planning level 2 the use of cost emission tradeoff analysis for making informed decisions on investments 3 the way to price carbon for maximum environmental returns per dollar increase in supply chain cost

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

a survey of new keynesian theories of aggregate supply and their relation to industrial organization i survey the recent literature on the phillips curve along the way i will try to relate this literature to topics of interest to industrial organization i will also point out the gaps in our understanding and places where more careful micro economic analysis would be helpful to macroeconomists in the conclusion i summarize what an industrial organization economist might take away from this literature

closed loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax abstract we optimize the design of a closed loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products the model also accommodates a carbon tax with tax rate uncertainty the proposed model is a three stage hybrid robust stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates the first stage decisions are facility investments the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns and the numbers of transportation units of various modes are the third stage decisions the second and third stage decisions may adjust to the realization of the carbon tax rate for computational tractability we restrict them to be affine functions of the carbon tax rate benders cuts are generated using recent duality developments for robust linear programs computational results show that adjusting product flows to the tax rate provides negligible benefit but the ability to adjust transportation mode capacities can substitute for building additional facilities as a way to respond to carbon tax uncertainty

modelling food logistics networks with emission considerations the case of an international beef supply chain intrinsic characteristics of food products and processes along with growing sustainability concerns lead to the need for decision support tools that can integrate economic considerations with quality preservation and environmental protection in food supply chains in this study we develop a multi objective linear programming molp model for a generic beef logistics network problem the objectives of the model are i minimizing total logistics cost and ii minimizing total amount of greenhouse gas emissions from transportation operations the model is solved with the ee constraint method this study breaks away from the literature on logistics network models by simultaneously considering transportation emissions affected by road structure vehicle and fuel types weight loads of vehicles traveled distances return hauls and product perishability in a molp model we present computational results and analysis based on an application of the model on a real life international beef logistics chain operating in nova andradina mato grosso do sul brazil and exporting beef to the european union trade off relationships between multiple objectives are observed by the derived pareto frontier that presents the cost of being sustainable from the point of reducing transportation emissions the results from the pie chart analysis indicate the importance of distances between actors in terms of environmental impact moreover sensitivity analysis on practically important parameters shows that export ports capacities put pressure on the logistics system decreasing fuel efficiency due to the bad infrastructure has negative effects on cost and emissions and green tax incentives result in economic and environmental improvement

the impact of carbon policies on supply chain design and logistics of a major retailer abstract the energy used to move freight comprised about 17 of all the energy consumed in the united states in 2010 this percentage was an increase from 8 7 in 1970 even though fuel efficiency gradually improved over the period one major reason of this phenomenon is that the longer supply chains of many industries caused by globalization increase freight movement various carbon policies have been discussed and even implemented for some industry sectors in the european union to reduce carbon emissions however the emissions of surface transportation have not been well studied this paper investigates three of the most common carbon policies carbon emission tax inflexible cap and cap and trade the impact on a company may include the redesign of its supply chains and different choices of transportation modes truck rail or waterway this paper proposes optimization models for major retailers who make a huge contribution to freight movement to design their supply chains under various carbon policies the results from the models can help policy makers to predict the impact of policies on overall emissions in the freight transportation sector the model may also be incorporated into the integrated assessment models for climate change analyses furthermore a sensitivity analysis is conducted to study the impact of the policy parameters on carbon emissions and logistics cost this research uses the supply chain of a major u s retailer i e wal mart to demonstrate how to use the models and conduct the sensitivity analysis in order to realize significant emission reduction a redesign of supply chains of major retailers is necessary and will be triggered only by a high carbon tax rate a high carbon price or a very strict carbon cap which all may involve high social and or economic complexity numerical experiments show that different policies have different impacts on the costs and the effectiveness of emission reduction how to choose policy parameters is critical to the effectiveness of a carbon policy the different sensitivity also implies different challenges during the implementation of the policies such as the high cost preventing retailers from accepting any carbon taxes and the difficulty of reaching an agreement on the carbon caps between retailers and policy makers

integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation abstract the elevated level of public and organizations awareness concerning sustainability has necessitated the adoption of environmentally conscious practices in the management of supply chains as such classical inventory models wherein the sole measure of performance is cost minimization are no longer appropriate to handle such emerging and pressing issue this paper assesses the impact of accounting for carbon emissions resulting from transportation and storage activities of a cold item in the context of a multi stage supply chain comprised of a plant warehouse a distribution center dc and a retailer we present an operational cost minimization model a carbon footprint minimization model and a hybrid economic and environmental minimization model where all models seek to determine the optimal lot sizing and shipping quantities alongside the number of trucks to be used in the upstream and downstream directions of the supply chain as well as the number of freezer units utilized at the dc which is owned by a third party logistics provider the structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed upon conducting computational experiments it turns out that the incorporation of carbon related costs through carbon tax regulation may call for adjusting the adopted operational policy which results in a minor increase in the operational cost however this increase is outweighed by the savings resulting from the carbon related costs numerical results of the sensitivity analysis on the carbon tax policy indicate that as the tax rate increases substantial reductions in the amount of carbon footprint emitted are realized and cost savings are also achieved when adopting the lot sizing and shipping policy of the third integrated model over the operational cost minimization model

facility location and capacity acquisition under carbon tax and emissions limits to centralize or to decentralize abstract we investigate the effect of environmental regulations in the form of a carbon tax and command and control legislation on plant capacity and location decisions of a firm in this context command and control involves a limit on the total emissions and penalties for any polluter exceeding this environmental limit while carbon tax involves a variable cost for emissions we also propose two novel policy options that should be considered by policy makers for transportation emissions 1 a per unit per mile transportation penalty and 2 a collective transportation emissions policy with a limit on total transportation emissions that encourages emission and cost efficient facility networks we devise an exact algorithm to solve the arising discontinuous nonlinear integer problem we also consider simplified versions of the problem to gain analytical insights on factors driving the solutions for the more accurate yet complex scenarios we develop a realistic dataset from the auto industry gleaned from publicly available sources to highlight key results of the model through analysis of this representative data we identify the environmental limits and penalties that would drive the company to compliance we find that stricter regulations without high penalties would not assure compliance as the benefits of increased scale associated with a centralized plant frequently outweigh the regulatory penalties at the strategic level a production emissions tax does not encourage companies to reduce production emissions however high lump sum penalties with intermediate limits reduce both regional production and total transportation emissions we find that for regional production emissions while a command and control scheme with a high lump sum emissions penalty is effective in reducing emissions a per unit carbon tax has no effect interestingly the opposite is true for total transportation emissions where we observe that the per unit per mile transportation emissions tax is more effective than a command and control scheme finally we also find that companies with low production pollution low demand or high transportation costs should consider decentralization to comply with the environmental regulations