co2 emissions of international freight transport and offshoring measurement and allocation abstract the growing offshoring process is the result of the fragmentation of production processes and the creation of global supply chains this process has increased final and intermediate imports but also the distance that goods travel in different stages until they reach the final consumer as well as the requirements of transport per unit of output and the volume of co 2 emissions generated in transporting them nowadays there is no generally accepted criterion for international transport pollution allocation no single country has the responsibility for emissions of international bunkers provided by ipcc in this paper we propose a new methodology for quantifying by sector the impact of international freight transport on total pollution and assigning responsibility to consumers this methodology considers the distance and the means of transport as key elements and uses input output methodology we apply this to the spanish economy combining data from input output tables import data and co 2 emission data the results show that the proportion of total co 2 emissions accounted for by emissions from international freight transportation allocated via the consumer criterion increase up to 4 16 between 1995 and 2000 as expected the industries where this offshoring process is more intense show the greatest increases in carbon emissions related to international transport these emissions are significantly higher than emissions embodied in domestic inputs in some of those industries where international fragmentation of production is relevant and increasing

dare to care shipment consolidation reduces not only costs but also environmental damage abstract companies interested in greening their supply chains quickly realize that carbon and energy waste represents an expense and thus minimizing this expense not only brings in truckloads of money but also helps save the environment this paper demonstrates that shipment consolidation a powerful logistics strategy that combines two or more small shipments into an aggregate load to be dispatched on the same vehicle can help mitigate carbon and energy waste specifically a discrete time based shipment consolidation dtb scl policy and a new method to calculate co2 emissions associated with the dispatch of a vehicle are introduced in addition an optimization model with the objective of maximizing combined economic and environmental savings is developed in this study it is shown that among other benefits the higher use of transportation capacity decreases environmental damage one goal of the dtb scl policy the mechanics of the mathematical models are illustrated by numerical examples and sensitivity analyses are conducted to provide managerial insights that might help companies come to better decisions that are environmentally responsible

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

research advances in environmentally and socially sustainable operations abstract consumers and governments are pressuring firms to strike a balance between profitability and sustainability however this balance can only be maintained in the long run if the firm can take a holistic approach to sustain the financial flow profit resource flow planet and development flow people for the entire ecosystem comprising poor producers in emerging developing markets global supply chain partners consumers in developed countries and the planet by considering the flows associated with different entities within the ecosystem we classify and summarize recent operations research management science or ms research developments also we identify several gaps for future research in this important area

the perceived returns to education and the demand for schooling economists emphasize the link between market returns to education and investments in schooling though many studies estimate these returns with earnings data it is the perceived returns that affect schooling decisions and these perceptions may be inaccurate using survey data for eighth grade boys in the dominican republic we find that the perceived returns to secondary school are extremely low despite high measured returns students at randomly selected schools given information on the higher measured returns completed on average 0 20 0 35 more years of school over the next four years than those who were not

transmission access and pricing with multiple separate energy forward markets california s congestion management protocols provide comparable access and prices to all users of the transmission system power exchange and bilateral contract parties the users implicitly bid for capacity on major transmission paths between zones the independent system operator iso allocates the available transmission capacity on these paths so that it maximizes the value of this capacity as measured by the users bids everyone scheduling flow on a congested path is charged the marginal cost based price for using the path the iso keeps each party s portfolio of generation and load individually in balance when adjusting schedules to relieve congestion on interzonal paths by keeping the portfolios of the different parties separate the iso clears its transmission market without arranging energy trades between parties parties are responsible for arranging their own trades the iso does not become involved in the energy forward markets

compound risk aversion ambiguity and the willingness to pay for microinsurance abstract index insurance in which payments are based on an index correlated with but not identical to individual losses has been faced with an unexpectedly low uptake despite its promise as a tool for poverty alleviation this paper offers new insights into the behavioral impediments to the uptake of index insurance we start from the observation that an index insurance contract appears to the farmer as a compound lottery with uncertainty about individual production outcomes as well as about the validity of the index as a reflection of individual losses adopting the smooth model of ambiguity aversion to this insurance problem we show that in theory this compound lottery structure per se will dampen the demand for index insurance using framed field experiments with cotton farmers in southern mali we elicited the coefficients of risk aversion and compound risk aversion the experimental results find that almost 60 of farmers are compound risk averse and that the distribution of compound risk aversion is such that it would nearly cut in half the potential demand for the standard index insurance contracts our results highlight the importance of designing contracts with minimal basis risk under compound risk aversion such a reduction in basis risk would not only enhance the value and productivity impacts of index insurance but would also assure that the contracts are purchased and have their anticipated impacts

preference disaggregation 20 years of mcda experience abstract the philosophy of preference disaggregation in multicriteria decision aid systems mcda is to assess infer global preference models from the given preferential structures and to address decision aiding activities this paper presents a panorama of preference disaggregation methods and summarises the most important results and applications over the last 20 years

operations research for green logistics an overview of aspects issues contributions and challenges the worldwide economic growth of the last century has given rise to a vast consumption of goods while globalization has led to large streams of goods all over the world the production transportation storage and consumption of all these goods however have created large environmental problems today global warming created by large scale emissions of greenhouse gasses is a top environmental concern governments action groups and companies are asking for measures to counter this threat operations research has a long tradition in improving operations and especially in reducing costs in this paper we present a review that highlights the contribution of operations research to green logistics which involves the integration of environmental aspects in logistics we give a sketch of the present and possible developments focussing on design planning and control in a supply chain for transportation inventory of products and facility decisions while doing this we also indicate several areas where environmental aspects could be included in or models for logistics

optimizing an emission trading scheme for local governments a stackelberg game model and hybrid algorithm this study investigates a policy making problem for a local government to implement an emission trading scheme by considering the interactive production decisions of firms in its administrative region the market based allowance trading price formed freely among the firms in the region is investigated by taking into account regional environmental bearing capacities under the scheme the government sets the emission reduction target of the region and allocates tradable initial allowances to firms and firms plan their production according to their allowances on hand a stackelberg game model is formulated to analyze the decisions of the government and firms aiming to maximize the social welfare of the region and maximize the profit of each firm in view of the non concavity and discreteness of the decision model for the government we propose a hybrid algorithm to solve the game model efficiently this algorithm consists of a polynomial time dynamic programming binary search and genetic algorithm results reveal that i the stackelberg game model greatly supports local governments policy making on the market driven emission allowance trading scheme and that ii the social welfare is a great metric for policy making decisions on environmental regulations the market driven emission trading scheme is an effective mechanism for local governments to induce emission reduction through green technology adoption by firms however governments should set their emission reduction targets appropriately because a tight or easy regulation policy significantly affects the environmental and economic benefits as well as the social welfare

eoq models for a coordinated two level international supply chain considering imperfect items and environmental impact abstract for a two level supply chain models are presented to determine the optimal production shipment policy for items with imperfect quality in three different scenarios a both the vendor and the buyer are in the same country b the vendor and the buyer are in different countries where the stochastic behavior of the exchange rate between the two countries is modeled using a mean reverting process and c environmental impact is incorporated in determining the optimal production shipment policy by taking into account the fixed and variable carbon emission costs the objective is to minimize the total expected cost per unit time for each scenario considering equal shipment size the total expected cost per unit time is derived and the solution procedure is proposed numerical examples are presented and the results are discussed

vulnerability of victims of civil conflicts empirical evidence for the displaced population in colombia summary internal conflicts and the forced displacement often caused by such conflicts impose a heavy burden on the civilian population and greatly damage a community s overall welfare the present study employs a household level survey administered to 2 322 colombian displaced households to estimate changes in household welfare after displacement and to assess aggregate consumption levels in destination sites we also assess whether households are able to smooth consumption and we analyze the strategies they are compelled to adopt in order to cope our results indicate that victims of civil conflict face difficulties in generating income are unable to rely on usual risk sharing mechanisms and are forced to draw upon costly coping strategies in order to smooth consumption the vulnerability of displaced households and the possibility of falling into poverty traps highlight the need to design and implement specific policies for victims of internal conflict in order to cope with the displacement shock

credit as insurance in agrarian economies abstract this paper examines consumption credit as an insurance mechanism in agrarian economies it explains the more rapid adoption of new technology in the green revolution by large farmers who had greater access to consumption credit the paper also demonstrates how the emergence and expansion of consumption credit markets by mitigating the need for hoarding in order to meet consumption contingencies enhances growth by encouraging investment

risk aversion and credit constraints in farmers decision making a reinterpretation in 1976 the agricultural development council sponsored a conference on risk uncertainty and agricultural development which has been summarised in a volume edited by james roumasset jean marc boussard and inderjit singh 1979 the volume provides an excellent review of the state of the art at that time however as discussed in the summary chapters of that volume there were few theoretical empirical or policy issues on which clear conclusions could be reached on the basis of knowledge then available in the intervening years progress has been made on a number of issues as a result of both empirical investigations and theoretical advances this paper concentrates on advances which have relevance to the controversy about the relative roles of risk aversion and credit constraints in limiting farmers investment levels especially for purchased inputs such as seeds or fertilizers in particular we review recent experimental studies on the extent of risk aversion among farmer populations in developing

impact of efficiency investment and competition on low carbon manufacturing abstract low carbon economy has become a top agenda for many countries following the agreement in the paris meeting on climate change in this article we take price and emission sensitive demand into account and incorporate competition between the two rival manufacturers in the demand function this research takes more proactive actions incorporating carbon emissions in the strategic and operational decisions which complements the existing literature on low carbon manufacturing in which the carbon emissions attribute is often used as a constraint or only the single manufacturer s demand is considered based on game theory the pricing and carbon emissions reduction decisions are investigated our study contributes to the existing literature on low carbon manufacturing by specifically examining the impact of production efficiency carbon emissions reduction efficiency and market power structure on achieving low carbon manufacturing through the systematic analysis of optimal pricing and green technology investment decisions to improve the economic and environmental performance under different market power structures our findings provide valuable managerial implications which will help many manufacturing firms to make important strategic and operational decisions regarding low carbon manufacturing

evaluation of regulatory impacts on dynamic behavior of investments in electricity markets a new hybrid dp game framework a new hybrid framework based on game theory and dynamic programming dp with random demands and prices is proposed for studying the impacts of regulatory interventions on the dynamics of investment in power generation in electricity markets in our approach using markov chains the electric demand and growth of fuel prices have been modeled dp has been used for solving the generation expansion planning gep problem investment strategies of other investors in the market are modeled as constraints the income of the investor is calculated by modeling strategic interactions among market players in the spot energy market the cournot game concept has been applied and the nash equilibrium is calculated for each state and stage of dp simulation results confirm that the proposed framework is an appropriate decision support tool that provides useful information about dynamics of investment

embedded carbon footprint of chinese urban households structure and changes reducing environmental pressure is a major concern for china but despite the improvements in energy efficiency its gross carbon dioxide co2 emissions have maintained an upward trend consistent with the jevons paradox a fundamental shift is thus needed at all levels including the household this paper explores the embedded carbon footprint ecf of chinese urban households associated with activities such as food personal transport communications education recreation health and hygiene it uses an input output model for carbon emissions and 2003 2009 urban household data the results show that the total ecf emission intensity increases when an individual s consumption is higher than 10 000 yuan structural changes are further observed with consumption expenditure above 10 000 food clothing and other survival oriented emissions intensities as well as education health and development oriented emissions intensities reduce transport recreation housing and enjoyment oriented emissions intensities increase or remain stable and the total emissions intensity increases currently per capita consumption expenditure of chinese urban residents exceeds 10 000 and as income continues to rise china will remain on a high carbon track there is a need for better policies management and behavioural change and the study provides some policy suggestions including a carbon quota system to guide individual consumption

adoption of agricultural innovations in developing countries a survey this paper reviews various studies which have provided a description and possible explanation to patterns of innovation adoption in the agricultural sector the survey points out that the tendency of many studies to consider innovation adoption in dichotomous terms adoption nonadoption may not be appropriate in many cases where the actual decisions are defined over a more continuous range more attention needs to be given to the socio cultural and institutional environment in area studies so that their interrelation with economic factors affecting adoption can be inferred the presence of several interrelated innovations is another aspect that needs to be considered more carefully in future research since a number of simultaneous decisions may be involved furthermore the possibility of regular sequential patterns in adopting components of a new technological package should be specifically addressed in future studies finally the impact of differential adoption rates on land holding distribution merits attention in future research

impacts of network constraints on electricity market equilibrium nash equilibrium is usually used as the solution of generator s strategic bidding in electricity markets the available literature has shown by simulation that multiple market equilibria or no pure equilibrium may be induced after the inclusion of network constraints transmission constraints this paper presents a systematical analysis for the impacts of network constraints on the market equilibrium in oligopolistic electricity markets in our modeling the independent system operator iso dispatches generation and determines nodal prices via solving an optimal power flow opf and the individual generator optimizes its submitted supply function with nash supply function equilibrium sfe strategy after taking into account iso s decision making process on dispatched generations and nodal prices the conditions for the existence of equilibrium are given and it is shown that there may be multiple equilibria or no pure nash equilibrium the equilibrium if it exists will be at a point where generators pay no congestion charge

sustainable economic production quantity models for inventory systems with shortage abstract recently new economic order production quantity models have shifted away from focusing only on economic issues and towards combined economic environmental concerns because of sustainable development goals despite this shift only a few works have addressed sustainable economic production quantity epq the theoretical sustainable eoq and epq models are basic models that ignore many real life conditions such as the possibility of stock out in inventory systems in this paper we develop four new sustainable economic production quantity models that consider different shortage situations to find optimal values of inventory system variables we solve four independent profit maximization problems for four different situations these proposed models include a basic model in which shortages are not allowed and when shortages are allowed the lost sale full backordering and partial backordering models can be selected by operations managers depending on the manufacturer s motivation to improve service levels we have also proposed an algorithm for determining optimum values of the decision variables for these sustainable economic production quantity models finally the formulated models are explained with some different examples and the obtained results have been analyzed and discussed these results show that the sustainable economic production quantity with partial backordering model is a general and more realistic model that can be used in many real cases with a reasonable profit amount compared with the three other proposed models

where and how index insurance can boost the adoption of improved agricultural technologies abstract remote sensing and other advances have led to an outpouring of programs that offer index insurance to small scale farmers with the expectation that this insurance will enable adoption of improved technologies and boost living standards despite these expectations the evidence to date on the uptake and impacts of insurance is mixed this paper steps back and considers theoretically where index insurance might be most effective and whether it should be offered as a standalone contract or explicitly interlinked with credit contracts emerging from this analysis is a set of nuanced recommendations based on the structure of risk and the property rights collateral environment

entrepreneurship social mobility and income redistribution in south india development economists have been preoccupied with the problem of increasing the size of the gnp pie to the relative neglect of its distribution despite the recent disenchantment with the viewpoint that all classes share in the benefits of industrial growth empirical data on the distribution of income business opportunity and economic power are in short supply many of the studies on entrepreneurship and economic development when they are not apologetics for ruthless capitalist exploitation as paul baran suggests extol the achievements of the capitalist entrepreneur without examining class origins and monopoly advantage joseph schumpeter sees entrepreneurs irrespective of class origin as heroic figures with the dream and will to found a private kingdom to conquer adversity to achieve success for its own sake and to experience the joy of creation for gustav papanek 1967 the private entrepreneur who is frugal diligent far sighted remarkably able and willing to take political risks is in large part responsible for the success of pakistan in achieving rapid industrialization

allocation of transmission losses to bilateral contracts in a competitive environment under open access market driven transactions have become the new independent decision variables defining the behavior of the power system understanding the impact of bilateral transactions on system losses is important to be able to allocate a loss component to each individual transaction and improve economic efficiency the theory presented here is based on the argument that it is always possible to compute the exact loss allocation corresponding to an infinitesimal bilateral transaction this leads to a set of governing differential equations whose solution yields the loss allocation for contracts of any size several examples illustrate the properties of both the proposed allocation equations and other methods the dependence of the proposed solution on the path of integration and a number of implementation issues

low carbon production with low carbon premium in cap and trade regulation abstract manufacturers face a choice of whether to reduce their carbon emissions through employing low carbon technologies though many carbon regulations are set up to curb carbon emissions some firms choose not to take low carbon production because the additional cost of low carbon progressing is high however low carbon production would be a better alternative when we consider consumer s low carbon premium in the cap and trade system in this work we solve the manufacturer s multi product joint pricing and production problem when consumers value the low carbon product higher than the ordinary product our findings provide firms with conditions where low carbon production is profitable furthermore we find that the cap and trade would constrain the total carbon emissions and promote low carbon production simultaneously under certain conditions

distinguishing design flaws from misconduct a new approach to electricity market analysis the power industry is perhaps the only industry where industry wide economy heavily depends on engineering operation economic inefficiency can be a consequence of either market participants misconducts mpm or engineering operation difficulties associated with market design flaws mdf based on the characteristic of engineering operation and economic studies of strategic behavior we suggest that the independence of errors in engineering control can be used as a measure of market functioning it is also possible to distinguish the market problems of mpm and mdf by studying a matrix of correlations of engineering variables and economic indices this paper proposes a method of empirical analysis by analyzing the significance of dependence of engineering control variables an application to the ercot real time market is also presented to illustrate the method

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

inventory management under joint product recovery and cap and trade constraints abstract the influence of environmental legislation in inventory control policies is explored previous work on product recovery is extended using the introduction of a cap and trade mechanism in an infinite horizon inventory system in which demand and returns are uncertain demand is met through two different sources namely manufacturing and remanufacturing which differ in cost and greenhouse gas emissions the main contributions of this paper are 1 comparison of system operation in terms of cost and environmental performance under conventional and green inventory policies and 2 managerial insights into the structure of green inventory policies to illustrate the impact of a cap and trade scheme a numerical example is used we solved the problem as a markov decision process and characterized the inventory policies based on the optimal replenishment strategy we also conducted a sensitivity analysis to examine the effect of underlying environmental parameters such as the emission cap and the allowance price in the policy structures the results indicate that decisions are sensitive to carbon prices the inventory policy could play an important role in compliance with environmental legislation although there is threshold carbon price beyond which the company must focus on strategic decisions rather than tactical decisions

a game theoretic analysis of wind generation variability on electricity markets wind generation variability in an energy only market such australian national electricity market nem can create significant revenue uncertainties for incumbent generators and substantially increase price risks faced by retailers this paper presents a cournot game model to formally analyze how high volatility of wind generation in a concentrated energy only market can raise the peak shoulder period of typically low wind generation prices to offset the foregone revenue during off peak periods of high wind generation a monte carlo simulation around a cournot game is formulated as an inter temporal nonlinear optimization problem to assess these issues the model is implemented for the south australian zone of the australian nem that has experienced high growth in wind generation in recent years the model results support some of the observed spot pricing behavior in the region in recent years these findings have significant ramifications for the efficacy of the energy only market in scenarios with high penetration of intermittent generation

transmission congestion management in competitive electricity markets this paper studies the management of costs associated with transmission constraints i e transmission congestion costs in a competitive electricity market the paper examines two approaches for dealing with these costs the first approach is based on a nodal pricing framework and forms the basis of the so called pool model the paper also provides an analysis of financial instruments proposed to complement nodal pricing and includes illustrative test results on a large scale system the second approach is based on cost allocation procedures proposed for the so called bilateral model the paper explains the basis for this model including a game theoretic evaluation of some of its aspects both the pool and bilateral models have been at the center of the electric utility restructuring debate in california

do carbon taxes work analysis of government policies and enterprise strategies in equilibrium abstract to achieve the goal of carbon emission reduction a number of countries have implemented carbon tax policies and carbon pricing has become an important tool this paper discusses the interactions between a government and an enterprise for implementing carbon taxes over time or by level of tax considering greenhouse gas emission we examine the impacts of various carbon tax policies on enterprises investments in new technology their reductions in production quantity and governments tax remittances a case study of the strategic responses of three firms in taiwan s electronics cement and steel industries to two carbon emission policies promulgated by government shows that appropriate levels of tax can induce an enterprise to alter its production processes to achieve emission reduction as part of a long term business strategy

global reverse supply chain redesign for household plastic waste under the emission trading scheme with increasing global resource scarcity waste becomes a resource that can be managed globally a reverse supply chain network for waste recycling needs to process all the waste with minimum costs and environmental impact as re processing of waste is one of the major sources of pollution in the recycling processes a mechanism is needed to control and reduce the emission impact in the re processing as a key to facilitate the globalized reverse supply chain and avoid spreading pollutants overseas emission trading schemes ets can function as policy instruments for controlling emissions the ets introduces a trade off between the economic efficiency and the environmental impacts ets has been implemented in europe and is developing rapidly in china too the aim of the research is to re design a reverse supply chain from a global angle based on a case study conducted on household plastic waste distributed from europe to china emission trading restrictions are set on the processing plants in both europe and china we modeled a network optimization problem using integer programing approach allowing the re allocation of intermediate processing plants under emission trading restrictions optimization results show that global relocation of re processors leads to both a reduction of total costs and total transportation emission ets applied to re processors further helps to reduce emissions from both re processing and transportation sectors carbon cap should be carefully set in order to be effective with a given carbon cap the model also shows the effective carbon price range these results give an insight into the feasibility of building a global reverse supply chain for household plastic waste recycling and demonstrate the impact of ets on the network design

locational market power screening and congestion management experience and suggestions the existing new england electricity market follows a uniform pricing system inframarginal generators are paid a uniform clearing price while constrained on generators are paid bid prices subject to a locational market power screen in this paper we first report the operation experience of this approach during the market s first two years we then briefly review the new england power system nepool locational pricing proposal being implemented two new approaches for locational market power screening are presented the first one is based on a zonal network model and the second is based on a nodal transmission model both approaches are being evaluated by an independent consultant and are be to recommended to nepool test results of both approaches are included

transmission congestion management in an electricity market managing transmission congestion in an unbundled electric power system poses a challenge to an independent system operator iso this paper considers an open transmission dispatch environment in which pool and bilateral multilateral dispatches coexist and proceeds to develop a congestion management strategy for this scenario prioritization of electricity transactions and related curtailment strategies are explored and a mechanism for coordination between market participants to achieve additional economic advantages is described

consumption versus asset smoothing testing the implications of poverty trap theory in burkina faso abstract despite solid theoretical foundations for the notion that poor borrowing constrained households will intertemporally manage assets to smooth consumption the consumption smoothing hypothesis has not always withstood empirical scrutiny this paper reassesses the intertemporal asset management problem with a poverty trap model and shows that we would expect to see asset smoothing not consumption smoothing in the neighborhood of critical asset levels at which optimal accumulation behavior bifurcates we then employ threshold estimation techniques to empirically confirm the co existence of consumption and asset smoothing regimes using a household panel data set from west africa households above the estimated threshold almost completely insulate their consumption from weather shocks whereas those below the threshold do not these results not only indirectly provide evidence of the existence of poverty traps but also speak to the level and incidence of the costs of uninsured risk

transmission loss allocation through equivalent bilateral exchanges and economical analysis a new loss allocation la scheme based on the principle of equivalent bilateral exchanges ebes is presented and compared with other available techniques formulation and results from extensive simulations including consistency tests show that the suggested methodology has several desirable properties it is flow based requiring only a solved load flow for its implementation it is not dependent on the choice of a slack bus it is straightforward to apply undesirable negative loss allocation is not produced and low volatilities are shaped an economic analysis with various la methods is also carried out when these are integrated into a combined economic dispatch load flow dispatch strategy a likely scenario for la in a real system this combined dispatch strategy yields prices charged to the loads and rates received by the generators that account for loss allocation and loss supply results show that these economic indexes are very close to the marginal costs derived from an optimal power flow opf approach with the advantage of reducing volatility

the economics of poverty traps and persistent poverty empirical and policy implications the moral and economic imperatives to intervene in poverty traps motivate the identification of poverty traps and their structural causes so as to inform the design of appropriate policy responses however empirical identification remains challenging because of poverty traps complexity after reviewing mechanisms that can generate poverty traps we focus on one multiple financial market failures emphasising its heretofore underappreciated testable implications including specific behaviours that are rational only in the presence of a poverty trap we therefore recommend tests for these behaviours rather than more econometrically challenged efforts to directly test for poverty traps in estimated asset dynamics

analyzing internal barriers for automotive parts remanufacturers in china using grey dematel approach abstract automotive industries have attracted attention from international sectors recently this attention to the industry results in many innovative technologies being integrated in these manufacturing arenas in developing countries such as the bric brazil russia india and china countries especially china who is a global leader in automotive sales and production researchers see substantial attempts to increase economic and societal values in automotive sectors through the use of many sustainable strategies among these sustainable strategies remanufacturing has witnessed much debate in recent years in china automotive parts remanufacturing is still in a nascent stage but the country is striving hard to implement a strategy in industries to result in cleaner production additionally remanufacturing yields high financial societal and environmental returns and it provides advantages such as reducing costs compared to virgin products an increase in jobs and the conservation of scare resources some earlier studies examined chinese remanufacturing issues but they only focused on modeling concepts without considering significant barriers to bridge this gap this paper analyzes internal barriers met by automotive parts remanufacturers and evaluates causal barriers by a proposed model framework this objective is illustrated by employing the grey decision making trial and evaluation laboratory dematel approach by virtue of these findings remanufacturers can eradicate major internal barriers and can increase the chances of practicing more productive remanufacturing in the chinese automotive environments this study extends the scope of this problem through varied applications of different techniques such as a fuzzy approach matrix laboratory and operations research tools by diversifying and including additional barriers

low carbon product selection with carbon tax and competition effects of the power structure abstract this paper considers product selection strategies of two competitive firms in the presence of carbon tax optimal strategies are developed for product selection of the firm with two game structures namely the nash game and the stackelberg game by which the paper conducts an analytical examination of the effect of power structure on the product selection strategy of the firm over various levels of carbon tax rate the critical managerial findings derived with the studies are as follows i two competitive firms will always adopt the same product strategy with the nash pricing game regardless of the carbon tax rate which is in contrast to that they will adopt a differentiated product strategy over the low carbon tax rates with the stackelberg pricing game ii two competitive firms will both select the common or low carbon product with randomness over the middle carbon tax rates with the nash product selection game which is contrast to that the randomness in their product selections is removed with the stackelberg product selection game which leads to an existence of the pure strategy stackelberg equilibrium for their product selection strategies over the middle carbon tax rates the inherent mechanisms leading to these essential differences are also discussed in the paper

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

strategic behavior and equilibrium in experimental oligopolistic electricity markets the method of experimental economics is applied to research of oligopolistic electricity markets the design of experimental platform principles of experimental economics and experimental design are introduced the experiments are organized on base of the cournot model of oligopolistic electricity markets a set of experiments are conducted on the experimental oligopolistic markets with three generating companies gencos and the experimental results are analyzed with strict statistics approaches the results show that the market competition will converge to the results between perfect competition equilibrium and nash equilibrium in oligopolistic electricity markets with asymmetric production cost functions and repeated play among the gencos the decision support tools of gencos have significant influences on experimental results the markets converge to static cournot nash equilibrium when the bounded rational subjects repeatedly play equipped with the tools that can give best response strategies the experimental method provides a complement to the theoretical research and computer simulation and has many merits in modeling realistic electricity markets

98 effective integer ratio lot sizing for one warehouse multi retailer systems a warehouse supplies n retailers constant external demand occurs at each retailer and shortages are not allowed there are linear holding costs and fixed costs for ordering at the warehouse and at each retailer the goal is to minimize the long run average cost over an infinite time horizon we define a new class of policies for this problem whose simple structure facilitates both computation and implementation the cost of a policy that is optimal within this class is shown to be within 2 of the cost of an optimal policy for the original problem in the worst case such a policy can be computed in on log n time

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

emission policies and their analysis for the design of hybrid and dedicated closed loop supply chains abstract government legislation and consumer awareness on carbon emissions have required industries to seek alternative ways to reorganize their supply chains therefore industries have to consider not only the activities in the forward supply chain but also in the reverse supply chain an integrated supply chain that combines the activities of both the forward and reverse supply chains is referred to as the closed loop supply chain clsc there are two main types of clsc structures hybrid and dedicated in this research we analyze the effect of carbon emissions consideration on the design of both hybrid and dedicated clscs in particular we develop a set of integrated mixed integer linear programming milp models to quantify and compare both of the environmental and economic impacts of carbon emissions policies carbon cap carbon tax and carbon cap and trade and market factors scale effect product return rate and the customer demand on the design of clscs with respect to both clsc structures our analysis shows that when market conditions are considered total cost and total emissions are more sensitive to customer demand than to the scale effect and the product return rate when an industry faces fluctuation on the quantity of the returned products adopting a dedicated clsc would lead to a lower total cost under cap and trade policy dedicated clsc can produce less total emissions we also observe that dedicated clsc is more cost efficient under carbon cap policy and hybrid clsc is more emissions efficient when the carbon tax is introduced

how many parts to make at once reprinted from factory the magazine of management volume 10 number 2 february 1913 pp 135 136 152 interest on capital tied up in wages material and overhead sets a maximum limit to the quantity of parts which can be profitably manufactured at one time set up costs on the job fix the minimum experience has shown one manager a way to determine the economical size of lots

including sustainability criteria into inventory models research on sustainability performance has considerably enriched operations management literature in recent years however work with quantitative models is still scarce this paper contributes by revisiting classical inventory methods taking sustainability concerns into account we believe that reducing all aspects of sustainable development to a single objective is not desirable we thus reformulate the classical economic order quantity model as a multiobjective problem we refer to this model as the sustainable order quantity model then a multi echelon extension of the sustainable order quantity model is studied for both models the set of efficient solutions pareto optimal solutions is analytically characterized these results are used to provide some insights about the effectiveness of different regulatory policies to control carbon emissions we also use an interactive procedure that allows the decision maker to quickly identify the best option among these solutions the proposed interactive procedure is a new combination of multi criteria decision analysis techniques

network constrained multiperiod auction for pool based electricity markets of hydrothermal systems network constrained market clearing procedures in pool based electricity markets of hydropower systems have traditionally neglected the constraints associated with physical and operating aspects of hydroelectric generation hydraulic constraints such constraints are generally taken into account by means of expost procedures which may lead to suboptimal results regarding social welfare function this paper proposes a network constrained auction model for hydrothermal systems that represents the hydraulic constraints in detail the objectives of the paper are twofold the analysis of the impact of hydraulic constraints on market clearing prices and on generation consumption scheduling and the analysis of the influence of strategic offering of hydro plants in the operation of a hydraulic cascade as some of the hydraulic constraints are nonlinear and intertemporal linearization techniques are applied resulting in a mixed integer linear programming problem

mutual insurance as an elusive concept in traditional rural communities during the last two decades economists have paid increasing attention to the role of informal risk sharing arrangements as a privileged way through which traditional rural communities can achieve a significant degree of protection against income fluctuations and other hazards beyond their control this article however argues that when they enter into such arrangements members of these communities are guided by a principle of balanced reciprocity they expect a return from any contribution or payment they make rather than by a true logic of mutual insurance more precisely they do not conceive of insurance as a game where there are winners and losers and where income is redistributed between lucky and unlucky individuals none the less traditional agrarian societies have proven able to develop a restricted range of sustainable forms of mutual insurance that avoid the aforementioned problem

computing all nash equilibria of multiplayer games in electricity markets by solving polynomial equations the analysis of the nash equilibrium ne in electricity markets with imperfect competition is subject to two major challenges the treatment of multiplayer games and the determination of the existence of multiple market equilibria to resolve these obstacles a solution method based on the payoff matrix approach and polynomial equations is proposed in this paper to calculate all the nash equilibria of multiplayer games in the electricity markets first the proposed method decomposes the game by means of a set of all pure strategies assigned with positive probabilities support for each possible support the ne condition can be characterized by a set of polynomial equations with inequality constraints next the homotopy continuation algorithm is employed to obtain all solutions of the polynomial system finally all nash equilibria can be found by verifying each solution of all polynomial systems two example systems one involving the cournot model and the other based on the supply function equilibrium sfe model are applied to test the proposed method respectively the results show that the proposed method has the ability to identify all ne under certain conditions indicating that the proposed algorithm is useful for providing insights into the theoretical analysis of electricity markets

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

changing households investment behaviour through social interactions with local leaders evidence from a randomised transfer programme this article analyses the role of interactions with local leaders in amplifying poor households investment response to a social programme the causal effect of social interactions is identified through the randomised assignment of leaders and other beneficiaries to three different interventions aimed at increasing human capital and productive investments social interactions are found to augment programme impacts on households investments in education nutrition and income generating activities and to affect households attitudes towards the future

depressed demand for crop insurance contracts and a rationale based on third generation prospect theory when actuarially fair insurance for a major risk is available then standard economic theory posits that those subject to the risk should insure in agriculture it is common for producers to decline contract offers where presubsidy premiums just cover average losses and subsidies are substantial this paper seeks to shed light on why demand is curtailed in a mail survey of u s corn and soybean producers we solicited willingness to pay wtp for actuarially fair insurance at different coverage levels we find demand to be so low that median wtp is no larger than fair premium when adjusted down by current subsidy rates which pay for one half or more of most premium charges wtp as a share of the fair rate is especially low when risk of loss is high there is limited evidence that respondents appreciate the convex relationship between coverage level and expected indemnity payoff third generation prospect theory is shown to be consistent with observed findings in particular a strong distaste for paying premium can be rationalized by loss aversion furthermore when high revenue outcomes are more likely than not that is negative skewness then higher loss aversion greater decision weight distortions and greater risk aversion will decrease wtp

nodal uniform or zonal pricing distribution of economic surplus competitive markets for electricity determine either a uniform marginal price ump a set of nodal marginal prices nmps or a smaller set of zonal marginal prices zmps in theory the nmp system is best as it correctly accounts for transmission constraints and losses in some versions but critics allege that the large number of prices is confusing since the ump or zmp solution must be adjusted to account for transmission constraints and losses it is reasonable to consider a market design in which actual dispatch corresponds to an nmp model that accounts for losses and if a ump or zmp model is used at all it is only to compute prices for settlements and compensation for constrained on or off generation or load we prove that if used in this way the ump or zmp models a do not affect the total economic surplus b redistribute the surplus among generators and loads at the different nodes and c give perverse incentives for generation expansion we illustrate on a realistic system

environmentally responsible inventory models non classical models for a non classical era abstract mathematical models of inventory typically include the three inventory associated costs of surplus shortage and ordering these classic inventory models are then analysed so as to choose inventory parameters that usually minimise the total cost of operating the inventory system being investigated unfortunately classic inventory models do not provide a meaningful basis for analysing many real and increasingly important practical inventory problems and situations it is therefore not surprising that over recent years several authors have discussed these issues in broad terms and suggested that a new paradigm needs to be developed this paper develops some specific aspects of this discussion in particular the paper identifies a range of inventory problems that are not covered appropriately by traditional inventory analysis one of these is to design responsible inventory systems i e systems that reflect the needs of the environment the paper then examines the importance of inventory planning to the environment in greater detail for example packaging is important not only because of its costs and the protection that it provides to the inventory items but also because of its eventual effects on the environment in terms of the use of resources and potential landfill for similar reasons waste which can result from poor inventory management is highly important the location of stores is important because location affects transport costs thus the influence of the secondary aspects of most inventory models packaging waste and location are important but even more important are the inter relations with the total system in particular the location of the manufacturing plants and the effect that inventory planning has on the logistics chain potentially have considerable environmental implications inventory is part of a wider system however until the cost charged for an activity reflects the true environmental cost of that activity it is likely that decisions will be made on the basis of erroneous data in that situation we are faced with either determining the environmental cost of specific actions or to use environmental costs that are somewhat contrived in which case it may be more sensible to use very different performance measures and models the paper discusses these ideas and ways in which inventory policies may reassure us with our environmental concerns

endogenous time horizon and behavioral poverty trap theory and evidence from mozambique abstract this paper provides a model where a long term planning horizon improves economic decisions but also increases the salience of anticipated future utility hence a gloomy future induces the agent to shorten her time horizon in order to reduce distress caused by the anticipation of poverty at the cost of worsening her realized future consumption resulting in a behavioral poverty trap where poverty and shortsightedness reinforce each other the paper also provides primary empirical evidence of the endogenous determination of time horizon and of the existence of a behavioral poverty trap using a randomized controlled trial in mozambique that provided agro input subsidies and a matched savings program i show that improvement in economic prospects resulted in a significant increase in the planning horizon of the poor beneficiaries moreover the increase in horizon significantly predicts asset accumulation of beneficiaries during the two years following the intervention

the reduction of greenhouse gas emissions from freight transport by pooling supply chains it is well known that freight consolidation is an effective way to improve the utilization of logistics resources in fact today this policy is locally and fragmentally implemented at the operational level we propose here to explore the environmental impact of pooling of supply chains at the strategic level merging supply chains with real data from two main french retailers and through an optimization model we compute co2 emissions for two transport modes road and rail as regards the general dependency of the emissions produced by the modes of transport on their loads the emissions functions of the two modes are both piecewise linear and discontinuous functions the supply network pooling proposed here is an efficient approach to reducing co2 emissions even if the attention is focused on the emissions the transportation costs are also studied and analyzed

the demand for microinsurance a literature review summary microinsurance has recently received much attention as a promising tool to protect poor individuals from important shocks yet voluntary demand from people has been low shedding doubt on the viability of microinsurance as a useful risk management tool to better understand this puzzle this paper reviews both the theoretical and empirical literature on the demand for insurance while people s lack of understanding of insurance does seem to limit the demand for it several more fundamental factors such as price quality limited trust in the insurer and liquidity constraints also seem to have an important role in explaining the puzzle

poverty and land redistribution abstract despite a theoretical literature that promises that land transfers will have large impacts on the well being of poor households well identified empirical evidence on the efficacy of land redistribution is scarce in an effort to fill this gap this paper examines south africa s land redistribution for agricultural development lrad program we exploit features of lrad program implementation to extract exogenous variation in whether and for how long applicant households enjoyed land transfers binary treatment estimates which compare treated with untreated households show that beneficiary households on average experienced a 25 increase in per capita consumption our preferred continuous treatment estimates which analyze only the subset of treated households identify the impact time path of land transfers on consumption these estimates show that living standards initially drop and then after 3 4 years rise to 150 of their pre transfer level these results are statistically significant and robust to a statistically more conservative identification strategy

anticipation and the valuation of delayed consumption this paper presents a model of intertemporal choice that incorporates savoring and dread i e utility from anticipat ion of delayed consumption the model explains why an individual with positive time preference may delay desirable outcomes or get unpleas ant outcomes over with quickly contrary to the prediction of convent ional formulations of intertemporal choice implications of savoring and dread for savings behavior empirical estimation of discount rate s and public policy efforts to combat myopic behavior are explored the model provides an explanation for common violations of the indepe ndence axiom as applied to intertemporal choice copyright 1987 by royal economic society

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

efficient determination of cournot equilibria in electricity markets this paper analyzes the deregulated electricity market using game theory and investigates the properties of cournot equilibrium points a new algorithm for the calculation of the cournot equilibrium of an electricity market in the absence of transmission constraints is presented the algorithm is based on the transformation of the cournot game into a three level decision making scheme with economic signal exchange the algorithm is tested on a hypothetical market in order to demonstrate the effects of market concentration and demand elasticity case studies indicate that the algorithm is very efficient computationally and therefore suitable for use with multi period production scheduling models for the electricity market

the impact of carbon pricing on a closed loop supply chain an australian case study concerns about industrial and supply chain implications on our natural environment have existed for decades climate change and greenhouse gas emissions have caused countries to implement various instruments ranging from taxes permits and voluntary incentives to required regulatory policies given this environment we develop a unified optimization model for a closed loop supply chain in which the carbon emission is expressed in terms of dollar carbon cost this study is one of the first to evaluate the forward and reverse supply chain influences on the carbon footprint a comparative analysis is completed with a decomposition of cost and environmental influences across supply chain functions we utilize data from a company located in australia where the government is currently introducing a carbon pricing scheme we find that variations in cost and environmental impacts occur over ranges of carbon pricing characteristics and patterns of the numerical results over these ranges provide insights for corporate key strategies and potential additional government policies these results and implications are analyzed along with limitations and directions for future research

a physical flow based approach to allocating transmission losses in a transaction framework a physical flow based approach to allocating transmission losses in a multiple transaction system is presented the allocation scheme is developed using a framework in which the transactions are explicitly represented the proposed scheme is based on expressing losses explicitly in terms of all the transactions in the system an important property of the allocation scheme is its effective capability to deal with counter flows that result in the presence of specific transactions extensive numerical testing indicates that the allocation scheme produces loss allocations that are appropriate and that behave in a physically reasonable manner test results on several systems are presented

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

dynamic version of the economic lot size model this article originally appeared in management science october 1958 volume 5 number 1 pp 89 96 published by the institute of management sciences a forward algorithm for a solution to the following dynamic version of the economic lot size model is given allowing the possibility of demands for a single item inventory holding charges and setup costs to vary over n periods we desire a minimum total cost inventory management scheme which satisfies known demand in every period disjoint planning horizons are shown to be possible which eliminate the necessity of having data for the full n periods

multicommodity spatial cournot model for generator bidding analysis conventional behavioral models such as cournot to analyze generator behavior do not reflect many of the complexities of advanced electricity markets dispatch and pricing in a number of advanced pool based electricity markets worldwide explicitly recognize the co optimization of ancillary services as well as transmission constraints this paper discusses the development of and experiments with a multimarket cournot model that deals with co optimization of multiple commodities namely energy and various classes of ancillary services and deals with transmission constraints that separate these commodity markets spatially we also discuss the multimarket extension of the cournot model to deal with bilateral contracts for energy a nonlinear programming formulation of the proposed model and the analysis of nodal prices are presented followed by a detailed set of experiments using a simple three node system the model is expected to add to understanding of complex interactions between energy and ancillary services markets and further the impact transmission capacity limits may have on exercise of market power of each of these markets

supply chain design for efficient and effective blood supply in disasters abstract the emergency supply of blood in natural and anthropogenic disasters has proved challenging this article presents a stochastic bi objective supply chain design model for the efficient cost minimizing and effective delivery time minimizing supply of blood in disasters the blood supply network under investigation is comprised of blood donors mobile blood facilities local and regional blood centers and demand points a hybrid solution approach combining the e constraint and lagrangian relaxation methods is developed to solve the proposed model our numerical experiments and subsequent discussions focus on 1 investigating the utility of the proposed model in solving different size problems 2 exploring possible tradeoffs between supply chain cost and delivery time 3 identifying the areas along the supply chain where investments can be made to improve supply chain efficiency and effectiveness and 4 performance benchmarking of the proposed stochastic programming approach

solving three player games by the matrix approach with application to an electric power market in models of imperfect competition of deregulated electricity markets the key task is to find the nash equilibrium ne the approaches for finding the ne have had two major bottlenecks computation of mixed strategy equilibrium and treatment of multiplayer games this paper proposes a payoff matrix approach that resolves these bottlenecks the proposed method can efficiently find a mixed strategy equilibrium in a multiplayer game the formulation of the ne condition for a three player game is introduced and a basic computation scheme of solving nonlinear equalities and checking inequalities is proposed in order to relieve the inevitable burden of searching the subspace of payoffs several techniques are adopted in this paper two example application problems arising from electricity markets and involving a cournot and a bertrand model respectively are investigated for verifying the proposed method the proposed method outperforms a publicly available game theory software for the application problems

reconciling social welfare agent profits and consumer payments in electricity pools under a common condition called profit suboptimality market equilibrium cannot be reached in electricity pools in other words no system marginal price exists for which the profit driven independent generators would self schedule to levels that exactly meet the demand on the other hand although a centrally imposed generation schedule satisfies power balance it may force some agents to operate at a profit below what they could achieve under self scheduling this paper examines these incompatible goals and proposes a conflict resolution scheme based on the notion of generalized uplift functions these functions are defined such that they i change the offered generation cost characteristics so as to increase the system marginal price thus forcing the consumers to compensate the generators for part of their combined loss of profit ii execute an equitable transfer of revenues among the generators so that these also participate in any loss of profit compensation iii ensure market equilibrium at the centralized minimum cost solution and iv ensure that the net sum of the uplifts adds up to zero

economic inefficiencies and cross subsidies in an auction based electricity pool this paper compares two contrasting yet often used electricity market clearing procedures i an auction based algorithm including congestion management and transmission loss cost allocation and ii an optimal power flow the auction procedure produces a single period unit commitment and hence can be compared directly to an optimal power flow solution these algorithms are compared in terms of the economic efficiency of the solution attained and in terms of cross subsidies among generators and demands the purpose of this comparison is to quantify the actual cost to market participants of using a simple seemingly transparent procedure such as an auction based algorithm versus an integrated but computationally intensive one such as an optimal power flow

analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions an application to a biofuel supply chain this paper analyzes the impacts of carbon regulatory mechanisms on replenishment decisions in a biofuel supply chain we employ mathematical models for operations which integrate replenishment and supplier transportation mode selection decisions these models explicitly account for carbon emissions that may result from transportation and inventory storage activities this research is motivated by observations indicating that nearly 19 of the energy consumption and 25 of the energy related carbon dioxide emissions worldwide arise from transportation because freight transportation is expected to continue to grow we consider the impacts of different carbon regulatory mechanisms on transportation and inventory replenishment decisions in a biofuel supply chain a set of extensive numerical experiments uses the biofuel supply chain context to analyze the impacts of different regulatory mechanisms including carbon cap carbon tax carbon cap and trade and carbon offset on performance we use existing methodologies to calculate emissions as a function of distance traveled load weight and transportation mode used we also use publicly available data to derive representative biomass transportation costs as a consequence our numerical results are meaningful and give a realistic representation of the relationships between emissions from different transportation modes and the resulting costs the results of our computational experiments indicate that carbon regulatory mechanisms have a non trivial impact on replenishment schedules and as a consequence costs and emissions in the supply chain

an empirical study of applied game theory transmission constrained cournot behavior restructured energy markets present opportunities for the exercise of market power meaning market players can potentially maintain prices in excess of competitive prices in this paper we investigate cournot equilibrium in a simple example network we analyze three market players in a transmission constrained system and consider nonconstant marginal cost several scenarios are evaluated that show a pure strategy equilibrium can break down even when a transmission constraint exceeds the value of the unconstrained cournot equilibrium line flow

capacity and energy only markets under high renewable penetration this paper presents a multi nodal intertemporal cournot gaming model with transmission constraints and uses it to simulate energy only and capacity energy market designs in the presence of uncertainties stemming from intermittent renewable power generation both market paradigms are compared to a competitive benchmark in order to determine which one performs better in a concentrated market with significant penetration of wind and solar generation as a specific example the model is applied to the south australian zone of the australian national electricity market nem the simulation results for the time interval 2013 2030 show that the capacity energy market has the potential to induce significant new capacity and push prices much closer to the competitive level in contrast to the current energy only market design