offset carbon emissions or pay a price premium for avoiding them a cross country analysis of motives for climate protection activities abstractthis article contributes to the economic literature on pure and impure public goods by considering two alternatives for contributing to the public good climate protection offsetting carbon emissions from conventional consumption or paying higher prices for climate friendly products we empirically examine a wide range of motives and their impact on individuals choice in favour of these two alternatives relying on data from representative international surveys our results indicate that environmental awareness warm glow motives and the desire to set a good example have the most robust effects on both climate protection activities in germany and the united states however some motives differ considerably between both alternatives and the two countries a green identity enhances the willingness to pay a price premium for climate friendly goods or services in germany while social norms seem to be of much higher relevance in the united states our results further suggest that the choice of climate

optimal dynamic pricing of inventories with stochastic demand over finite horizons in many industries managers face the problem of selling a given stock of items by a deadline we investigate the problem of dynamically pricing such inventories when demand is price sensitive and stochastic and the firm s objective is to maximize expected revenues examples that fit this framework include retailers selling fashion and seasonal goods and the travel and leisure industry which markets space such as seats on airline flights cabins on vacation cruises and rooms in hotels that become worthless if not sold by a specific time we formulate this problem using intensity control and obtain structural monotonicity results for the optimal intensity resp price as a function of the stock level and the length of the horizon for a particular exponential family of demand functions we find the optimal pricing policy in closed form for general demand functions we find an upper bound on the expected revenue based on analyzing the deterministic version of the problem and use this bound to prove that simple fixed price policies are asymptotically optimal as the volume of expected sales tends to infinity finally we extend our results to the case where demand is compound poisson only a finite number of prices is allowed the demand rate is time varying holding costs are incurred and cash flows are discounted the initial stock is a decision variable and reordering overbooking and random cancellations are allowed

levelling the playing field the influence of national wind power planning instruments on conflicts of interests in a swedish county slow and complicated wind power planning and permitting procedures have been a large obstacle for wind power diffusion in sweden and other countries this paper complements previous siting oriented literature with a planning perspective on these problems the focus is two national planning instruments implemented in sweden in the early 2000s a national planning target and an appointment of areas of national interest for wind power the paper identifies different types of conflicts of interest related to wind power in addition to the conflict between wind power as a national public interest and various local private interests and analyses the impact of the national planning instruments on the handling of these conflicts in the land use planning process in the county of ostergotland the analysis shows that the planning target actually made local planning officials even more inclined to treat wind power as a private rather than a public interest and that the method used to identify areas of national interest of wind power forced wind power to compete with the combined strengths of all other public interest the planning instruments thus left wind power to fight an uphill battle rather than to meet other interests face to face on a level playing field

on the structure of lost sales inventory models we provide a new approach to the structural analysis of the standard lost sales inventory system this approach is we think easier to work with than the original one we also derive new bounds on the optimal policy then we show that more variable demand leads to higher cost finally we extend the analysis to several important variations of the basic model

optimal dynamic scheduling policy for a make to stock production system this paper considers the dynamic scheduling problem of a single server make to stock queue with two products for the case of poisson demands and exponential production times we show that it is optimal to produce the product with the larger b index when it is backordered if the production times are identically distributed the optimal policy can further be characterized by monotone switching curves we also prove that a base stock policy coupled with a switching curve is optimal for some initial inventory levels a simple linear switching rule for determining production priority is proposed and compared with other heuristic policies in a computational experiment

wind power an assault on local landscapes or an opportunity for modernization abstract wind power development has produced controversies in many places some people see wind power as a sustainable source of energy others see it as destroying nature and landscapes the opposition to wind power is often asserted to be from local forces and nimbyism and support to be based on the national and global benefits of increased supply of renewable energy in this paper i challenge this view by analyzing how local communities with established or planned wind power parks went through the process of developing wind power what arguments they used and how they think about the wind power technology and its expected local effects i found that most of the arguments in favor of wind power development addressed local concerns regarding the economy modernization and employment opportunities and not a need for sustainable energy the opposition to wind power development was not based on nimbyism rather many different arguments were used and the features of the controversies were distinct to each community

alternative models of individual behaviour and implications for environmental policy abstract most insights of environmental economics are in line with the standard neoclassical economic model of rational behaviour formulated in terms of maximization of utility in general or of profits in particular the standard theory of environmental policy is a case in point however the maximization hypothesis and its methodological foundation have been criticized on many grounds related to a lack of either logical or empirical content moreover over the years a great many alternative models of behaviour have been proposed both criticism and alternatives are surveyed here attention is devoted to relevant insights from the philosophy of science the notion of methodological individualism and other criticism the alternative behavioural models include bounded rationality and satisficing lexicographic preferences habitual behaviour incommensurability and multicriteria evaluation and various models of behaviour under uncertainty major implications of the criticism and alternative models of individual behaviour for environmental policy theory are outlined

stock rationing under service level constraints in a vertically integrated distribution system this paper addresses a rationing problem in a two level vertically integrated distribution system composed of one manufacturer and several retail points the motivating case developed in the vending machine sector and modeled as a newsvendor like problem is representative of many real settings where short term changes in demand can be substantial while capacity modification is not a viable option the paper provides an analytical discussion of the problem from two different standpoints a pure profit maximization perspective and a minimum service level perspective both subject to a product availability constraint that affects the service level the company can provide and the related expected profit by analyzing the lagrangean formulation of the problem we devise efficient computational procedures based on dichotomy search to find the optimal allotments to retailers maximizing the expected profit and ensuring a minimum service level then we extend the analysis to the evaluation of the highest service level that can be provided under a product availability constraint we identify conditions such that the proposed search procedures succeed in finding the optimal solutions as well as bounds for the search domains the proposed approach is legitimated under several demand distribution functions subject to a few commonly adopted restrictions that encompass many of the usually adopted continuous distributions finally the paper presents a three step decision making framework using the proposed procedures summarizing the decision paths the manufacturer might follow in order to optimize the allocation decision

yes in my backyard spatial differences in the valuation of forest services and local co benefits for carbon markets in mexico forests provide many and large benefits including cost efficient climate change mitigation however international carbon markets have not stimulated the demand for forestry offsets domestic market mechanisms are emerging in many countries and forests could be highly valued through these policies as most of the benefits produced by forests are enjoyed locally here a choice experiment explores drivers of valuation and willingness to pay for forest carbon services in voluntary markets in mexico by comparing the valuation of citizens from four regions to test geographical preference for projects n 645 findings from multinomial logit models show valuation of forest carbon services is transferable and citizens would pay more for offsets from projects closer to their homes proximate forests provide a range of co benefits to local users including environmental services and opportunities for recreation factors related to valuation include sense of responsibility previous knowledge of carbon emissions previous visits to the sites regional identification and the valuation of local environmental services e g improvements in local air quality knowledge of spatial heterogeneity in valuation of the use of forest services can help to design market based instruments by identifying highly valued areas for environmental services programs and carbon markets

an s 1 s inventory system with emergency orders in this paper we develop an approximate model of an inventory control system in which there exist two options for resupply with one having a shorter lead time we assume that demand and the fixed ordering costs are small relative to the holding cost so that a one for one ordering policy is appropriate we consider a policy for placing emergency orders that uses information about the age of outstanding orders we derive the steady state behavior of this policy and present some computational results

determinants of pro environmental consumption the role of reference groups and routine behavior abstract this paper investigates the determinants of pro environmental consumption focusing on the role of reference groups and routine behavior we study the factors that explain whether or not people have installed residential solar energy equipment or have subscribed to green electricity programs and the factors that influence the intensity of buying organic food in addition to demographic characteristics and environmental attitudes we consider the following categories of determinants economic and cognitive factors income estimated price premium level of information on environmentally friendly goods consumption patterns of reference persons own consumption patterns in the past using a unique data set from a survey conducted in the region of hanover germany we find the following 1 economic and cognitive factors are significant covariates of all three kinds of pro environmental consumption their influence is greatest in the case of green electricity 2 consumption patterns of reference persons are significant covariates of all three kinds of pro environmental consumption their influence is greatest in the case of organic food 3 the intensity of buying organic food is greater the longer people have been consumers of these goods

from rational actor to efficient complexity manager exorcising the ghost of homo economicus with a unified synthesis of cognition research it is now commonplace to note that economics canonical model of humans as rational self interested utility maximizers homo economicus is both descriptively misleading and often insufficiently predictive however certain outdated assumptions tied to homo economicus persist often influencing discourse and research design even in sustainability oriented fields we argue this ghost of homo economicus endures because the diversity of findings that confound the canonical model has surfaced across multiple behavioral and cognitive sciences each with its own terminology and focus area as such a unified accessible synthesis of this new information has yet to emerge in this paper we review recent insights from across the behavioral and cognitive sciences and propose an efficient complexity manager ecm model homo efficens as the best synthesizing option the crux of this model is that our species works within biological limits to efficiently filter massive environmental complexity this is achieved largely through analogical or case based reasoning we explain this synthesized model using a series of accessible metaphors finally we speculate on how this model may enrich future sustainable development research insofar as it points to fruitful units of analysis can stimulate methodological innovation and provide a more explicit theoretical foundation for the field

the demand for organic foods in the south of italy a discrete choice model abstract this paper analyses organic food consumer s demand that can help advising on implementing organic food policies at european level or for a particular european country in particular it investigates the main factors explaining organic food demand in the south of italy following the lancaster consumer s demand theory we assume that consumer s utility depends on product characteristics instead of the product itself thus consumers will choose the product organic versus conventional that possesses the combination of attributes that maximises its utility consumer s choice for organic foods is analysed within the random utility discrete choice model and a bivariate probit model has been specified the data were collected through a questionnaire conducted in the italian region of campania naples in 2003 findings indicate that economic factors are still factors limiting the growth of organic demand in europe moreover the consumers perceived benefits of organic food environmental and health are factors promoting organic food demand in addition greater information on organic food products is crucial to expand its demand in the south of italy because this information will increase the consumer s organic knowledge then higher organic knowledge will increase the probability to buy organic foods and to a larger extent the level of consumption among existing consumers

a dynamic rationing policy for continuous review inventory systems stock rationing is an inventory policy that allows differential treatment of customer classes without using separate inventories in this paper we propose a dynamic rationing policy for continuous review inventory systems which utilizes the information on the status of the outstanding replenishment orders for both backordering and lost sales environments we conduct simulation studies to compare the performance of the dynamic policy with the static critical level and the common stock policies and quantify the gain obtained we propose two new bounds on the optimum dynamic rationing policy that enables us to tell how much of the potential gain the proposed dynamic policy realizes we discuss the conditions under which stock rationing both dynamic and static is beneficial and assess the value of the dynamic policy

danish and norwegian wind industry the relationship between policy instruments innovation and diffusion this article compares the role of policy instruments in stimulating long term technological change in danish and norwegian wind industry it concludes that although predictability has periodically been low denmark s broad portfolio of policies and measures has been well adapted to the different stages in the development of its wind industry this has contributed to a high degree of innovation successful establishment in niche markets high degree of diffusion and establishment of domestic and international mass markets and in recent years an increasingly successful replacement of senescent technology with new the motivation of norway s wind energy policies and measures at least up until the late 1990s has been to increase power supply rather than to stimulate industrial development and technological change policies and measures have been weaker than in denmark have been less stable over time and stimulated the demand side much less they have not sufficiently covered the wind industry s perceived needs on different stages in the development of new technology and have not sufficiently stimulated continuous improvement learning and new product development dynamic efficiency in industry this has been part of the reason why there has been only a limited extent of innovation and diffusion of wind technology in norway

evaluation of property tax bonus to promote solar thermal systems in andalusia spain abstract this paper evaluates the effects of a property tax bonus to promote the installation of solar thermal energy systems in buildings in andalusia southern spain the propensity score matching methodology is used the treatment group consists of municipalities of andalusia that established property tax bonuses in their municipalities in 2010 the control group consists of municipalities that did not the response variable measures the number of new square meters of solar thermal systems installed in 2010 the analysis leads to the conclusion that municipalities that established a property tax bonus had installed on average 102 245 to 122 389 square meters more these results indicate that the percentage increase in squares meters installed in municipalities which adopted the tax bonus promotion ranged from 70 74 to 98 38 these percentages were lower for rural municipalities 49 00 to 77 06

success factors for environmentally sustainable product innovation a systematic literature review the growing awareness regarding environmental sustainability has fully reached business reality consumers and companies alike are looking for alternatives to mitigate pressing environmental demands resulting from continuous population and economic growth on the other hand companies must deal with an increasingly competitive scenario where innovation is regarded as a survival need in most markets it is thus clear that systematic academic research is paramount to guide companies to succeed in environmentally sustainable product innovation in this context this paper i consolidate extant research and aggregate findings of different studies on environmentally sustainable product innovation through an interpretative framework of published literature on the topic and ii map critical success factors that drive the success of product innovation developed in this new logic of production and consumption to achieve these objectives a systematic literature review on environmentally sustainable product innovation was conducted results show that there are four main critical success factors for environmentally sustainable product innovation market law and regulation knowledge interfunctional collaboration innovation oriented learning and r d investments the factors identified in this research and corresponding variables were subjected to a brief empirical test by professionals the test allowed a preliminary approval of the developed framework and identification of the most important variables within each factor a research agenda based on the state of the art on the topic is also proposed

a make to stock system with multiple customer classes and batch ordering this paper examines the impact of customer order sizes on a make to stock system with multiple demand classes we first characterize the manufacturer s optimal production and rationing policies when the demand is nonunitary and lost if unsatisfied we also investigate the optimal policies of a backorder system with two demand classes and fixed order sizes through a numerical study we show the effects of batch orders on the manufacturer s inventory cost as well as on the benefit of optimal stock rationing it is shown that batch ordering may reduce the manufacturer s overall cost if carefully introduced in a first come first served fcfs system with the same effective demand rates the customers order sizes also have a strong impact on the benefit of optimal stock rationing

inventory cost rate functions with nonlinear shortage costs this article considers five cost rate models for inventory control each summarizing the expected holding and shortage costs per period as a function of the inventory position all models have linear holding costs and shortage cost coefficients of dimension unit period unit and period the latter two coeficients may be the shadow costs of a fill rate and a ready rate service constraint respectively one of the cost rate models is a new suggestion intended to facilitate modeling of periodic review inventory systems if and only if conditions on the demand process are presented for which the cost rate is quasi convex in the inventory position the typical sufficient condition requires that the cumulative demand distribution be logconcave a condition that is met by most demand distributions commonly used in the inventory literature the results simplify optimization and extend the known optimality of s s and nq r policies to cost structures common in applications and to the presence of typical service constraints as a prerequisite for the study a series of new monotonicity results are derived for compound renewal processes

dynamic pricing through discounts for optimizing multiple class demand fulfillment in a multiple customer class model of demand fulfillment for a single item we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service customers are assumed to arrive over several stages in a period and customer classes are distinguished by their contractual price and sensitivity to discounts through dynamic programming we determine the optimal discounts to offer assuming a linear model for the sensitivity of customers to such inducements we show that customers are served in class order and allocation of inventory to demand is determined by considering the current number of customers backlogged as well as the current inventory position through comparison to a naive supplier allocating inventory first come first served with no discounting we show that profits are primarily influenced by the allocation of capacity and the use of price discounts primarily benefits the second class customers overall fill rate heuristics for implementation of the solution in real time settings are given

practices and imaginations of energy justice in transition a case study of the noordoostpolder the netherlands abstract renewable energy technologies are often idealized as environmentally innocent alternatives to fossil fuels fossil fuel extraction is often considered as unjust and renewable energy as the just alternative at the same time renewable energy projects such as wind parks are often resisted because of the uneven impacts of its infrastructure this paper analyses such ambiguous meanings of energy justice social justice issues related to energy along the lines of its three tenets distributional procedural and recognition justice aiming to understand how energy justice is constructed from below it does so on the basis of a case study in the noordoostpolder the netherlands where plans for extracting shale gas went together with both large scale and small scale renewable energy practices the paper analyses how energy justice is made by how people resist shale gas and engage in renewable energy practices and as such produce new imaginations and normativities of energy justice such an ethnographic approach helps to understand energy justice as a process of co construction of activists policy makers and scholars and as such responds to recent calls for a human centred approach to the study of energy transitions the paper is based on two and a half years of ethnographic fieldwork in the noordoostpolder

environmental quality competition and taxation in the presence of green network effect among consumers we examine the impact of a green network effect in a market characterized by consumers environmental awareness and competition between firms in terms of both environmental quality and product prices the unique aspect of this model comes from the assumption that an increase in the number of consumers of green brown product increases the satisfaction of each green brown consumer we show that paradoxically when the network effect of a green product is higher than that of a brown product this externality reduces product environmental quality and raises consumption of the green product conversely when the network effect of the brown product is higher the externality improves product environmental quality and raises consumption of the brown product in both cases the network effect does not affect the overall pollution level the externality correction requires the use of three optimal fiscal policies an ad valorem tax on products an emission tax and a subsidy or a tax on the green purchase a second best optimum can also be reached through the green taxation

a stock rationing policy in a s s controlled stochastic production system with 2 phase coxian processing times and lost sales abstract this paper analyzes a s s controlled stochastic production system with multi class demands and lost sales demands in each class are assumed to arrive according to a poisson process and the time required to process an item is assumed to follow a 2 phase coxian distribution for each class a stock rationing level is set when customers arrive if the inventory level is lower than the predetermined rationing level the demands are lost for future demands with higher priorities a behavior of the production system is modeled as a continuous time markov chain and an efficient algorithm to calculate the steady state probability distribution of the system is proposed the average operating cost under the stock rationing policy is compared with the one without stock rationing numerical experiment shows that the proposed stock rationing policy reduces the average operating cost significantly depending on the system parameters

revenue management approach to stochastic capacity allocation problem abstract to formulate stochastic capacity allocation problems in a manufacturing system the concept and techniques of revenue management is applied in this research it is assumed the production capacity is stochastic and hence its exact size cannot be forecasted in advance at the time of planning there are two classes of frequent and occasional customers demanding this capacity the price rate as well as the penalty for order cancellation caused by overbooking is different for each class the model is developed mathematically and we propose an analytical solution method the properties of the optimal solution as well as the behavior of objective function are also analyzed the objective function is not concave in general however we prove it is a unimodal function and by taking advantage of this property the optimal solution is determined

reduce shortage with self reservation policy for a manufacturer paying both fixed and variable stockout expenditure this study considers a single item make to stock system with continuous time production and inventory controls to meet bulk demand with an exponential inter arrival time a key issue in this system is the non convex shortage cost consisting of fixed and variable expenditures when the demand is not fully satisfied we propose a self reservation policy by building a markov decision process to minimize the overall cost we find that the optimal production control is still a base stock policy but the structure of the optimal self reservation policy is very complicated however if the effective outstanding variable shortage cost is sufficiently large the optimal self reservation policy has an easy form of reserve all or nothing our numerical examples indicate the optimal policy may reduce the total average cost by 47 on average

multi class dynamic inventory rationing with stochastic demands and backordering dynamic inventory rationing is considered for systems with multiple demand classes stationary stochastic demands and backordering in the literature dynamic programming has been often applied to address this type of problems however due to the curse of dimensionality computation is a critical challenge for dynamic programming in this paper an innovative two step approach is proposed based on an idea similar to the certainty equivalence principle first the deterministic inventory rationing problem is studied where the future demands are set to be the expectation of the stochastic demand processes the important properties obtained from solving the problem with the kkt conditions are then used to develop effective dynamic rationing policies for stochastic demands which gives closed form expressions for dynamic rationing thresholds these expressions are easy to calculate and are applicable to any number of demand classes numerical results show that the expressions are close to and provide a lower bound for the optimal dynamic thresholds they also shed light on important managerial insights for example the relation between different parameters and the rationing thresholds

capacity rationing decision procedures with order profit as a continuous random variable abstract when expected demand is more than available capacity a make to order manufacturer should take the more profitable orders and reject the less profitable orders in order to better allocate its limited capacity and maximize its profit however various orders will arrive at different times in the future so the manufacturer cannot look at all the order inquiries at the same time and choose the most profitable ones when an order inquiry arrives the manufacturer must promptly determine without knowing exactly what the future orders might be whether to accept the order or to reject the order thus reserving the capacity for future more profitable orders this study focuses on such an order selection decision problem under the following assumptions 1 the arrival of future customer orders is a poisson process 2 the capacity requirement of a future customer order is a continuous random variable and 3 the profit per unit capacity used by an order is also a continuous random variable under the stochastic problem assumptions this study investigates two decision procedures that determine whether to accept or to reject an order inquiry based on the available information including 1 current available manufacturing capacity 2 capacity requirement by the order and 3 the profit per unit capacity of the order one procedure is called static probability capacity rationing decision procedure spcr the other one is called dynamic stochastic capacity rationing decision procedure dscr simulation experiments are conducted to validate the proposed procedures an optimal solution method that uses 0 1 knapsack problem formulation to obtain the decisions with perfect information is used to measure the effectiveness of the proposed procedures the results show that the approach utilizing dscr outperforms other approaches by providing the highest profit and is also very robust under various problem conditions

look at me saving the planet the imitation of visible green behavior and its impact on the climate value action gap abstract examining the regional distribution of 15 different greenhouse gas mitigation practices mps across australia we study the tendency for consumers to imitate visible pro environmental behavior in their local region while there is a great deal of variation in the specific type of mps adopted by consumers located in the same region anova results suggest that they tend to adopt a similar number of mps as their neighbours using discrete choice modelling our results suggest that this is due to the peer adoption of certain visible mps such as using public transport or car pooling encouraging agents to adopt other types of visible mps however the character of this spillover is limited in that visible pro environmental behavior does not appear to influence the adoption of non visible mps we also find that social imitation patterns help individuals overcome the observed gap between their stated concern about climate change and their propensity to act on this concern known as the climate value action gap policy implications for designing effective green nudges are discussed

when households go solar determinants of uptake of a photovoltaic scheme and policy insights abstract the need to reduce dependence on fossil fuels has resulted in escalating interest in renewable energy generation yet few countries have seriously tested household potential to produce energy from pv panels propelled by mandatory eu targets for renewable energy and constrained with limited territory the government of malta launched a subsidy scheme with a view to encouraging pv installation by households the scheme reached the desired adoption levels within a very short period of time the study takes an entire country dimension to assess the determinants of household investment in pv panels a unique dataset is specifically constructed for this study we find that the prevalence of younger households higher incomes dwelling ownership and unshared roof space results in higher rates of uptake neither higher educational levels nor the participation in other environmental schemes recycling contribute any explanatory power to uptake of pv panels pro government sentiment captured by voting outcomes significantly and positively influences the take up of the grant and installation of pv panels we conclude by identifying some pointers for policy makers interested in harvesting the potential of households

design and evaluation of a dynamic capacity apportionment procedure abstract deploying a decision theory based approach we develop a heuristic for short term constrained capacity allocation to multiple product classes in make to order manufacturing attempting to maximize profit by discriminating between product classes efficacy of the heuristic is evaluated by comparing its performance to a base case and an upper bound under a wide variety of operational conditions such as variations in profit attractiveness capacity tightness customer order size structure customer order rate structure and demand coefficient of variation considering three different scenarios of time variant order rate of products the results indicate that the heuristic is effective in obtaining increased profit when capacity is very tight and products are well differentiated on average it yields an increase of 9 38 in total profit with a concomitant decrease of 0 85 in capacity utilization the results of this study serve to highlight the value of proactively seeking to differentiate products particularly when demand exceeds capacity

technological diffusion and preference learning in the world of homo sustinens the challenges for politics abstract this article relates agents learning of a preference for a technology competition of technologies and their relative diffusion among potential adopters competitive interactions between two technologies are captured by an extended lotka volterra model to also incorporate preference learning on the part of potential adopters of these technologies we combine it with a model of cultural learning based on role model conformist and hedonistic learning our theoretical analysis is illustrated by a concrete example the competition between electric mobility and conventional forms of individual mobility the model enables an evaluation of specific policy instruments as to the promotion of sustainable technology

us consumers willingness to pay for green electricity abstract we analyze us consumers demand for environmental attributes of deregulated residential electricity services using results from a survey designed to elicit consumers willingness to pay for such attributes and using results from a hedonic analysis of actual price premiums charged for green electricity in several deregulated markets survey results suggest that many population segments are willing to pay for decreased air emissions even if there is no alteration in fuel source furthermore several groups are willing to pay significantly more when emissions reductions stem from increased reliance upon renewable fuels the hedonic analysis suggests that several product features not considered in the survey help explain real price premiums including fuel mix from newly created renewable generation capacity green e certification brand name and state of offer while survey and hedonic results are not easily compared due to limitations of the survey both point to similar values for key environmental attributes though the survey results are likely to overstate actual willingness to pay in sum the results suggest that consumer driven purchases can in part support the future of renewable generation capacity in the united states though reliance upon other policy alternatives may be needed if energy prices spike

optimal policies for inventory systems with priority demand classes we consider a periodic review inventory system with two priority demand classes one deterministic and the other stochastic the deterministic demand must be met immediately in each period however the units of stochastic demand that are not satisfied during the period when demand occurs are treated as lost sales at each decision epoch one has to decide not only whether an order should be placed and how much to order but also how much demand to fill from the stochastic source the firm has the option to ration inventory to the stochastic source i e not satisfy all customer demand even though there is inventory in the system we first characterize the structure of the optimal policy we show that in general the optimal order quantity and rationing policy are state dependent and do not have a simple structure we then propose a simple policy called s k s policy wheres ands ordering policy determine when and how much to order whilek rationing policy specifies how much of the stochastic demand to satisfy we report the results of a numerical study which shows that this simple policy works extremely well and is very easy to compute

political consumerism and public policy good complements against market failures political consumerism has become over the past years an ever growing phenomenon by which citizens express through their consumption their political environmental and ethical opinions this paper discusses political consumerism from an economic science perspective focusing on the link between political consumerism and public policies it wonders to what extent political consumerism may represent an effective and fair instrument against market failures overall it seems that it would be better to consider it as a complement to conventional public policies

towards sustainable consumption economic modelling of mobility and heating for austria abstract the paper focuses on economic modelling and empirical analysis of sustainable structures in private consumption and strives to extend conventional economic consumption models the model analysis of sustainable consumption in the areas heating and transport for austria attempts to depart from traditional measurement of consumption in national accounts and economic consumption models the focus of the analysis is laid on consumer services derived from a combination of stocks e g building stock transport systems and flows mainly energy this approach intends to illustrate that a concentration on flows in consumption models lacks important aspects of sustainable consumption the economic analysis of sustainable consumption patterns aims to highlight the effects related to the substitution of flows by stocks in the consumption areas transport and heating e g improvements in thermal quality of buildings more energy efficient transport systems relevant too in this respect is the role that can be played by technological innovation improvements in energy efficiency of stocks the potential for specific incentives to promote new technologies two essential factors are crucial in the context of sustainable consumption the demand shifts concerning the consumer services desired and the composition of the stock flow mix necessary for the service provision

the role of inventory in delivery time competition the paper operationalizes the notion of shortage cost by considering the behavior of customers and competing firms and examines the role of inventory in response time competition we start with a single firm production control model in which customers are characterized by their preferences of price quality and delivery time the optimal production inventory policy and the optimal choice between make to order and make to stock operations are determined in simple newsboy like formulas the basic model is then extended to an n firm market game in which firms compete for orders from the aspect of early delivery one could think of this setting as an oligopoly racing market the analysis shows that competition can breed a demand for produce to stock just as other economic phenomena such as economies of scale uncertainty or seasonality can induce make to stock and that delivery time competition increases the buyer s welfare while decreasing the producer s welfare

the effect of commonality on safety stock in a simple inventory model we examine the effects of component commonality on optimal safety stock levels in a two product two level inventory model the criterion is to minimize system safety stock subject to a service level constraint although our model is specialized its analysis provides insights not available in other multilevel inventory models

new policies for the stochastic inventory control problem with two supply sources we study an inventory system under periodic review in the presence of two suppliers or delivery modes the emergency supplier has a shorter lead time than the regular supplier but the unit price he offers is higher excess demand is backlogged we generalize the recently studied class of dual index policies veeraraghavan s a scheller wolf 2008 now or later dual index policies for capacitated dual sourcing systems oper res 56 4 850 864 by proposing two classes of policies the first class consists of policies that have an order up to structure for the emergency supplier we provide analytical results that are useful for determining optimal or near optimal policies within this class this analysis and the policies we propose leverage our observation that the classical lost sales inventory problem is a special case of this problem the second class consists of policies that have an order up to structure for the regular supplier here we derive bounds on the optimal order quantity from the emergency supplier in any period and use these bounds for finding effective policies within this class finally we undertake an elaborate computational investigation to compare the performance of the policies we propose with that of dual index policies one of our policies provides an average cost saving of 1 1 over the best dual index policy and has the same computational requirements another policy that we propose has a cost performance similar to the best dual index policy but its computational requirements are lower

component rationing for available to promise scheduling in configure to order systems abstract we address the problem of rationing common components among multiple products in a configure to order system with order configuration uncertainty the objective of this problem is to maximize expected revenue by implementing a threshold rationing policy under this policy a product is available to promise if fulfilling the order for the product will not cause the inventory of any one of its required components to fall below the component s threshold level for that product the problem is modeled as a two stage stochastic integer program and solved using the sample average approximation approach a heuristic is developed to generate good feasible solutions and lower bound estimates using industry data we examine the benefit of component rationing as compared to a first come first served policy and show that this benefit is correlated to the average revenue per product and the variability in the revenue across products whose components are constrained

inventory rationing in a make to stock production system with several demand classes and lost sales this paper considers the stock rationing problem of a single item make to stock production system with several demand classes and lost sales for the case of poisson demands and exponential production times we show that the optimal policy can be characterized by a sequence of monotone stock rationing levels for each demand class there exists a stock rationing level at or below which it is optimal to start rejecting the demand of this class in anticipation of future arrival of higher priority demands a simple queueing model is analyzed to compute the operating cost of a rationing policy in a numerical study we compare the optimal rationing policy with a first come first served policy to investigate the benefit of stock rationing under different operating conditions of the system

economics and identity this paper considers how identity a person s sense of self affects economic outcomes we incorporate the psychology and sociology of identity into an economic model of behavior in the utility function we propose identity is associated with different social categories and how people in these categories should behave we then construct a simple game theoretic model showing how identity can affect individual interactions the paper adapts these models to gender discrimination in the workplace the economics of poverty and social exclusion and the household division of labor in each case the inclusion of identity substantively changes conclusions of previous economic analysis

exploring the gap between consumers green rhetoric and purchasing behaviour why do consumers who profess to be concerned about the environment choose not to buy greener products more regularly or even at all this study explores how consumers perceptions towards green products consumers and consumption practices termed green perceptions contribute to our understanding of the discrepancy between green attitudes and behaviour this study identified several barriers to ethical consumption behaviour within a green consumption context three key themes emerged from the study it is too hard to be green green stigma and green reservations there is currently a perception based on a number of factors that it is too hard to be green which creates a barrier to purchasing green products furthermore some consumers were reluctant or resistant to participate in green consumption practices due to their unfavourable perceptions of green consumers and green messages this article suggests that green perceptions may influence consumers intention to purchase green products accordingly it discusses the implications and suggests avenues for future research

a single product inventory model for multiple demand classes we consider a single product inventory system that serves multiple demand classes which differ in their shortage costs or service level requirements we assume a critical level control policy and a backorder clearing mechanism in which we treat a backorder for a lower priority class equivalent to a reserve stock shortfall for the higher priority class we show the equivalence between this inventory system and a serial inventory system based on this equivalence we develop a model for cost evaluation and optimization under the assumptions of poisson demand deterministic replenishment lead time and a continuous review q r policy with rationing we propose a computationally efficient heuristic and develop a bound on its performance we provide a numerical experiment to show the effectiveness of the heuristic and the value from a rationing policy finally we describe how to extend the model to permit service times and how to extend the model to a multi echelon setting

how national culture and ethics matter in consumers green consumption values abstract going green in consumption is gaining momentum globally but little is known how national cultural values and consumers ethical ideologies explain green consumption with a culturally rich sample of 1929 responses from consumers in finland germany portugal and the united kingdom the present study examines how cultural long term orientation and collectivism predict consumers green consumption values and if these relationships are moderated by ethical ideologies the study finds that cultural collectivism has a significant positive effect on green consumption values as expected however the results show that the two long term orientation constructs namely planning and tradition point in opposite directions when predicting green consumption we demonstrate that while long term planning has a significant positive effect on green consumption values the effect of traditional values is negative we further show that this negative effect varies across consumers ethical ideologies so that the effect is the greatest for exceptionists and absolutists that is those who rely in their actions on universal moral principles rather than particular circumstances therefore our research contributes to the literature by providing new evidence for the cultural and ethical aspects in green consumption values furthermore the study suggests that managers pay special attention to the consumers who have high collectivistic and future oriented values to promote environmentally friendly consumption

an assessment of the greek incentives scheme for photovoltaics abstract after two years of elaboration a new legislation was enacted in 2006 in greece providing an appealing feed in tariff fit scheme for photovoltaics pvs the response of the market was immediate with more than 7947 licenses having been submitted in less than 2 years time the effectiveness however of an incentives scheme cannot be judged solely by the response of prospective investors aim of this paper is to present and discuss a quantitative assessment of this newly introduced fit law in greece with respect to its attractiveness to investors its effectiveness towards launching a new market its cost efficiency and its ability to lift non economic barriers that led to significant delays in the diffusion of res over the last 10 years

green returns of labor income and human capital empirical evidence of the environmental behavior of households in developing countries abstract an important part of the environmental contamination comes from the daily practices of the households which has been partially ignored in the recent empirical literature the objective of this research is to examine the green returns of labor income and human capital in a developing country ecuador we use data from the national institute of statistics and census nisc during 2010 2016 and panel data econometrics techniques our results show that labor income and human capital plays a relevant role in the environmental behavior of households in this country both variables have a positive effect on the friendly environmental behavior of households in addition we found that the cantons 1 specialized in manufacturing have a poor environmental performance while the cantons specializing in services do not have a clear pattern we also don t find significant differences in the environmental behavior associated with the composition of the ethnic groups of each canton finally natural geographic regions generate differences in the environmental behavior of households one possible implication derived from this research is that those responsible for environmental policy can mitigate pollution by promoting educational programs with environmental content and encouraging improvements in the behavior of households using tax mechanisms

inventory policies for systems with stochastic and deterministic demand we consider a periodic review inventory system with demand arriving simultaneously from a deterministic source and a random source the deterministic demand has to be satisfied immediately and the stochastic demand can be backordered assuming that the stochastic demand is never backlogged if there is stock in the system we prove that a modified s s policy is optimal under general conditions if there is a setup cost if there is a smoothing cost instead of the setup cost we observe that the problem corresponds to a standard model with one source of demand

a continuous review model for an inventory system with two supply modes in this paper we develop an approximate model of an inventory control system in which there exist two options for resupply with one having a shorter lead time because the optimal policy appears to be extremely complex we consider a reasonable extension of the standard q r policy to allow for two different lot sizes q1 and q2 and two different reorder levels r1 and r2 expressions for the expected on hand inventory and the expected backorders are developed and a procedure for determining the policy parameters is given the model is validated by simulation and calculations are included which compare the average annual cost with and without emergency ordering

using imperfect advance demand information in ordering and rationing decisions in this paper we consider an inventory problem with two demand classes having different priorities the appropriate policy of rationing the available stock i e reserving some stock for meeting prospective future demand of preferred customers at the expense of deliberately losing some of the currently materialized demand of lower demand class es relies on the estimation of the future demand utilizing current signals on future demand which we refer to as imperfect advance demand information adi decreases uncertainty on future demand and may help to make better decisions on when to start rejecting lower class demand we develop a model that incorporates imperfect adi with inventory ordering replenishment decision and rationing available stock in a two period setting we show some structural properties solve the rationing problem and propose solution methods based on monte carlo simulation for the ordering problem we conduct numerical tests to measure the impact of system parameters on the expected value of imperfect adi and provide useful managerial insights

determinants of participation versus consumption in the nordic swan eco labeled market abstract this paper analyzes the determinants of demand for nordic swan eco labeled paper products and whether the factors determining the discrete decision to buy a swan labeled product are different from those that determine the quantity purchased using observed consumer purchase data from denmark we find that prices and socio demographic characteristics have a strong impact on the decision to purchase a swan labeled good the quantity consumed of swan labeled goods on the other hand is strongly affected by the availability of swan goods discounts and household size

production and inventory control of a single product assemble to order system with multiple customer classes we consider the optimal production and inventory control of an assemble to order system with m components one end product and n customer classes a control policy specifies when to produce each component and whenever an order is placed whether or not to satisfy it from on hand inventory we formulate the problem as a markov decision process and characterize the structure of an optimal policy we show that a base stock production policy is optimal but the base stock level for each component is dynamic and depends on the inventory level of all other components more specifically it is nondecreasing we show that the optimal inventory allocation for each component is a rationing policy with different rationing levels for different demand classes the rationing levels for each component are dynamic and also nondecreasing in the inventory level of all other components we compare the performance of the optimal policy to heuristic policies including the commonly used base stock policy with fixed base stock levels and find them to perform surprisingly well especially for systems with lost sales

the character of demand in mature organic food markets great britain and denmark compared abstract we investigate the organic food market in two selected european countries great britain and denmark identifying main differences and similarities we focus particularly on consumer perceptions and priorities labelling schemes and sales channels as a basis for assessing market stability and prospects for future growth we employ a unique set of household panel data that includes information on stated values and concerns as well as registered purchasing behaviour most organic food on both markets is produced and processed by large scale industrialised units and distributed through mainstream sales channels consumer confidence being sustained at present by organic labelling schemes that appear to function well however a parallel market based on the supply of goods through various direct sales channels to heavy users prevails we find that organic food purchase decisions are primarily motivated by private good attributes such as freshness taste and health benefits attributes that may be perceived as being compatible with modern production and sales structure mature markets for organic foods nevertheless appear to be vulnerable to consumer dissatisfaction particularly among heavy users of organic food products

use of economic instruments in the german renewable electricity policy this article surveys the economic instruments adopted in germany since the start of the previous decade and analyse the factors determining their effectiveness it is found out that their effect has always diminished in correspondence of increased uncertainty on the future of the system in particular while in two of these instances uncertainty was mainly due to national factors in the other the debate on the european renewable directive played a very important role recent changes in the production incentives have introduced a process simulating the effect of competition among renewable generators it is pointed out that the biennial revision of the rates can increase the uncertainty intrinsic in the policy on the other hand this process also provides a forum for the debate on the future of the renewable sector one can notice that currently germany the biggest renewable market in europe is granting one of the lowest production incentives this is rather curious as germany never relied on market competition in order to increase the renewable electricity production

discrete order admission atp model with joint effect of margin and order size in a mto environment abstract swarming demands and seasonality periodically induce a stringent capacity problem in the made to order mto b2b environment desirable order admission is a tactic with minimal application cost for handling this problem a real time order admission problem with limited major customer population and batch size demand with heterogeneous distributions is modeled as a dynamic and stochastic knapsack problem the optimality of the markovian deterministic reward threshold policy is verified optimal policy basic policy and the capacity rationing method are compared in the designed experiment the numerical results suggest great potential for increasing profit using the optimal order admission policy for mto businesses

driving factors for the success of the green innovation market a relationship system proposal this study aims to map out the relationships that make up green innovation initiatives in brazilian industry the sample comprised 100 managers at manufacturing companies most of them operating in the business of farm machinery and equipment 45 managers and steel structures 14 managers to develop this study medeiros et al j clean prod 65 76 86 2014 study mapping critical factors that drive the success of green product innovation and the paradigm of complexity was used as a reference study based on the results it was possible to identify that the operational dynamic of the factors and variables that affect market success do not happen in an isolated or fragmented way they occur systematically with different contingencies and structured basic and intermediate skills in order to meet the expectations of consumers laws and environmental legislation initially the technological expertise factor was noted as very important for sustaining green product innovation furthermore since proactive leaders are an important factor for successfully developing environmentally sustainable products it must be added to technological expertise as the foundation for developing green innovation after defining the basis for green product innovation the intermediary conditions necessary for using the available technology appropriately were mapped out in this sense variables such as elimination of cultural barriers capacity for critical reflective analysis and experimentation are also very important in addition some of the variables of the cross functional collaboration and market knowledge factors were a part of the structure that organizations need to transform potential into developing green products which is the basis for the third level of the model the fourth level of the model has the meeting consumer expectations and following law and legislation factors which make up the main goals for developing environmentally sustainable products according to a number of surveys that were conducted

component commonality with service level requirements this paper extends recent results of baker et al baker k r m j magazine h l w nuttle 1986 the effect of commonality on safety stocks in a simple inventory model management sci 32 982 988 in understanding the impact of component commonality on stocking levels under service level constraints a model is formulated for an arbitrary number of products with general joint demand distribution the results obtained are not all intuitive while utilizing commonality is beneficial nothing general can be said about the resulting change in the components stock levels when the cost structure is of a particular simple form though some interesting general patterns do emerge we also discuss the case of using a service level measure where rationing of common components might be required and characterize the implied rationing rule

inventory sharing and rationing in decentralized dealer networks an increasing number of manufacturers have started to pursue a strategy that promotes inventory sharing among the dealers in their distribution network in this paper we analyze a decentralized dealer network in which each independent dealer is given the flexibility to share his inventory we model inventory sharing as a multiple demand classes problem in which each dealer faces his own customer demand with high priority and inventory sharing requests from other dealers with low priority assuming that each dealer uses a base stock and threshold rationing policy for his inventory stocking and inventory sharing decisions we explicitly model the interactions between the dealers through inventory sharing and obtain aclosed form cost function for each dealer based on the steady state distribution of the inventory levels at the two dealers we then provide a detailed supermodularity analysis of the inventory sharing and inventory rationing game in which each dealer has a two dimensional strategy set stocking level and rationing level we show that the full sharing game in which dealers precommit to sharing all of their on hand inventory and the fixed sharing level game in which dealers precommit to sharing a portion of their on hand inventory are supermodular and thus a pure strategy nash equilibrium is guaranteed to exist for the rationing game in which dealers precommit to their stocking levels we show that there exists a dominant strategy equilibrium on the dealers sharing rationing levels finally a comprehensive computational study is conducted to highlight the impact of the manufacturer s incentives subsidies and or transshipment fees on the dealers sharing behavior

errata to inventory cost rate functions with nonlinear shortage costs rosling 2002 presents and analyzes five different cost rate functions for single item inventory models the functions are referred to as models 1 5 these errata correct an erroneous comment concerning model 3 and render a rigorous argument for the functional form of model 2

dynamic inventory rationing with mixed backorders and lost sales abstract customers may react differently when stockouts occur in this paper we investigate the rationing policy for an inventory system with a mixture of demand classes of backorder type and lost sales type since the penalty cost of backorders varies with time the priorities of demand classes also alter with time this totally changes the problem structure compared with the classic rationing models a dynamic rationing policy is studied in this paper by considering the dynamics of demand priorities a markov decision model is developed to obtain the optimal dynamic rationing levels for multiple demand classes the results indicate that between the priority switching points rationing levels often exhibit different patterns for lost sales demand classes the rationing levels always decrease as the remaining time approaches to zero for backorder demand classes the rationing levels increase in some parts due to declining of the priorities the rationing levels of all demand classes finally decline to zero to reduce the inventory holding cost the application of dynamic rationing is further extended from a single period model to a multi period s t model where unit cost has to be included the optimal ordering policy is proved to be a myopic base stock policy and the dynamic rationing policy in the single period model can still be applied with modified time independent penalty costs for lost sales classes to overcome the computational complexity a heuristic dynamic rationing policy is introduced due to its good outcome implementing such a heuristic dynamic rationing policy can be a practical solution for inventory system with mixed backorders and lost sales in order to enhance the system performance

decision making governance for purchases of solar photovoltaic systems in japan in this study we analyze the factors that affecting purchasing decision time for solar photovoltaic pv s in japan based on our survey consumers spend about 4 months to make purchase decision also our estimation results show that information and knowledge that consumers obtained from the neighborhood and elsewhere make consumers more careful in their decision making and extend the purchase decision on the other hand experts on the advantages and disadvantages of installation shortened the decision time the situation and environment of each household in terms of income family size and the way of purchase of new homes have influenced on the decision to purchase a pv system in addition the availability of feed in tariffs was highly correlated with purchasing motivation but unexpectedly the capital subsidy programs have either little impacts or even delayed impacts on the purchasing timing