the carbon footprint of uk households 1990 2004 a socio economically disaggregated quasi multi regional input output model this paper presents a socio economically disaggregated framework for attributing co2 emissions to people s high level functional needs based around a quasi multi regional input output qmrio model the study in theory takes into account all co2 emissions that arise from energy used in production of goods and services to satisfy uk household demand whether the emissions occur in the uk or abroad results show that co2 emissions attributable to households were 15 above 1990 levels in 2004 and that although absolute decoupling occurred between household expenditure and co2 during the uk s switch from coal to gas in the early 1990s since then only slight relative decoupling is evident the proportion of co2 that arises outside uk borders in support of uk consumption is rising and reducing these emissions is particularly problematic in a global trading system investigation into the carbon footprint of different segments of the uk population shows wide variation the segment with the highest carbon footprint emits 64 more co2 than the segment with the lowest results show that recreation and leisure are responsible for over one quarter of co2 emissions in a typical uk household in 2004 we conclude that expanding lifestyle aspirations are significant factors in driving household co2 emissions but the study also emphasizes that attention must be paid to the infrastructures and institutions that result in considerable amounts of co2 being locked up in basic household activities through which people meet their everyday needs for subsistence protection and communication with family and friends the findings highlight the sheer scale of the challenge facing uk policy makers and suggest that policies should be targeted towards segments of society responsible for the highest carbon footprints

energy saving behavior and marginal abatement cost for household co2 emissions abstract this paper attempts to measure consumers perceived net benefits or net costs of energy saving measures in using energy consuming durable goods using the estimated net costs and the volume of co2 reduced by the measures a marginal abatement cost mac curve for the average household s co2 emissions is produced an analysis using the curve suggests that in order to provide households with an incentive to take actions that can lead to co2 emission reductions in using energy consuming durables a high level of carbon price is needed in addition a regression analysis reveals that the net benefits of the measures are larger for households that put a higher priority on energy saving for those living in detached houses for those with a smaller number of persons living together and for those with less income the result of the analysis using the mac curve may suggest that promoting energy saving behavior will require not only a policy to provide economic incentives but also interventions to influence psychological factors of household behavior

nominal income targeting in an open economy optimizing model abstract this paper presents simulation results regarding the performance of nominal income targeting a monetary policy rule that sets interest rates in response to deviations of nominal gdp growth from a target path the macroeconomic model is one in which agents solve dynamic optimization problems with rational expectations but in an environment with slow price adjustments in the present version consumption choices reflect habit formation and the economy is open to international flows of goods and securities when calibrated to quarterly us data the model s results suggest that nominal income targeting performs well in relation to inflation targeting and taylor rules

an economic order quantity model with partial backordering and all units discount abstract the classic economic order quantity model assumes that the unit purchasing cost is not based on the order quantity in practice a supplier may offer purchasers an all units discount we develop a model and solution procedure for the eoq with all unit discounts and partial backordering at a constant rate we show and illustrate with a numerical example how that model can be used to find the solution for the eoq with discount and full backordering a multi factor experiment is used to gain insights into the improvement in performance of the proposed procedure relative to using the basic eoq or the eoq with full backordering and to identify the model parameters that have the greatest impact on the model s performance

analysis of the residential location choice and household energy consumption behavior by incorporating multiple self selection effects abstract it is expected that the residential location choice and household energy consumption behavior might correlate with each other besides due to the existence of self selection effects the observed inter relationship between them might be the spurious result of the fact that some unobserved variables are causing both these concerns motivate us to 1 consider residential location choice and household energy consumption behavior for both in home appliances and out of home cars simultaneously and 2 explicitly control self selection effects so as to capture a relatively true effect of land use policy on household energy consumption behavior an integrated model termed as joint mixed multinomial logit multiple discrete continuous extreme value model is presented here to identify the sensitivity of household energy consumption to land use policy by considering multiple self selection effects the model results indicate that land use policy do play a great role in changing beijing residents energy consumption pattern while the self selection effects cannot be ignored when evaluating the effect of land use policy based on the policy scenario design it is found that increasing recreational facilities and bus lines in the neighborhood can greatly promote household s energy saving behavior additionally the importance of soft policy and package policy is also emphasized in the context of beijing

determinant factors of residential consumption and perception of energy conservation time series analysis by large scale questionnaire in suita japan in this study we examined determinant factors associated with the residential consumption and perception of savings of electricity and city gas this was based on data collected from a large scale questionnaire sent to households in suita osaka prefecture japan in two different years 2009 and 2013 we applied an ordered logit model to determine the overall trend of the determinant factors and then we performed a more detailed analysis in order to understand the reasons why the determinant factors changed between the two periods results from the ordered logit model reveal that electricity and gas consumption was primarily determined by such factors as household income number of family members the number of home appliances and the perceptions of energy savings there was not much difference between the two years although in 2013 household income did not affect the perception of energy savings detailed analysis demonstrated that households with high energy consumption and those with moderate consumption are becoming polarized and that there was a growing gap between consumption behavior and the perception of conservation the implications derived from the analyses provide an essential insight into the design of a municipal policy to induce lifestyle changes for an energy saving society

diffusion of rural innovations some analytical issues and the case of wood burning stoves abstract the literature on the diffusion of rural innovations in third world countries reveals a spectrum of approaches to the diffusion process it is argued here that the effectiveness of a particular approach in the diffusion of particular innovations would depend on the technical the economic and the social characteristics of the innovations a typology of innovations in terms of these characteristics has been drawn up this provides the analytical framework within which the instance of wood burning stoves is concerned a priori the characteristics of this innovation are seen to be such as to necessitate the close involvement of the users in the design process itself they point to the likely inappropriateness of the usual top down approach to diffusion available evidence relating to actual experience with promoting wood burning stoves is seen to bear this out

a bibliometric review on natural resource accounting during 1995 2014 abstract natural resource accounting plays a critical role in sustainable utilization and conservation of natural resources this paper aims to review research progress on natural resource accounting for the period of 1995 2014 the main research methods for this study include bibliometric analysis and social network analysis covering publications performances characteristics of related journals countries institutions authors and keywords the results show that the total amount of publications on natural resource accounting has increased rapidly since 2001 the most productive journal country institution and author are journal of environmental management usa university of california and dr chen respectively all of them have higher academic influence meanwhile natural resources that attract most attentions are water and energy the six main research methods in this field include mathematic modeling emergy exergy ecological footprint ef life cycle assessment lca and material flow analysis mfa reasons for the prominent performance of key countries and institutions are then discussed and uncovered as well as for six methods finally suggestions on how to further promote the development of this research field are raised

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

a method for taking models to the data abstract this paper develops a method for combining the power of a dynamic stochastic general equilibrium model with the flexibility of a vector autoregressive time series model to obtain a hybrid that can be taken directly to the data it estimates this hybrid model via maximum likelihood and uses the results to address a number of issues concerning the ability of a prototypical real business cycle model to explain movements in aggregate output and employment in the postwar us economy the stability of the real business cycle model s structural parameters and the performance of the hybrid model s out of sample forecasts

a classification of literature on determining the lot size under quantity discounts abstract determining a lot size in the presence of either all units or incremental discounts has represented one of major interests of materials managers it is a common practice that the suppliers offer quantity discount to entice the buyers to purchase more and to achieve economies of scale for transportation and processing costs this paper will classify the literature on lot sizing determination under several types of discount schemes and discuss some of the significant literature in this area over two decades also some future research areas have been identified

the impacts of china s household consumption expenditure patterns on energy demand and carbon emissions towards 2050 abstract this paper explores how china s household consumption patterns over the period 2005 2050 influence the total energy demand and carbon dioxide co2 emissions in two baseline scenarios and how it influences carbon prices as well as the economic cost in the corresponding carbon mitigation scenarios to this end we first put forward two possible household consumption expenditure patterns up to 2050 using the working leser model taking into account total expenditure increase and urbanization for comparison both expenditure patterns are then incorporated in a hybrid recursive dynamic computable general equilibrium model the results reveal that as income level increases in the coming decades the direct and indirect household energy requirements and co2 emissions would rise drastically when household expenditure shifts from material products and transport to service oriented goods around 21 000 mtce 1 of primary energy and 45 billion tons of co2 emissions would be saved over the 45 year period from 2005 to 2050 moreover carbon prices in the dematerialized mitigation scenario would fall by 13 in 2050 thus reducing the economic cost

optimal inventory policies with two modes of freight transportation theoretical inventory models with constant demand rate and two transportation modes are analyzed in this paper the transportation options are truckloads with fixed costs a package delivery carrier with a constant cost per unit or using a combination of both modes simultaneously exact algorithms for computing the optimal policies are derived for single stage models over both an infinite and a finite planning horizon

the energy and environmental impacts of italian households consumptions an input output approach abstract promoting sustainable consumption and production patterns is a key challenge for the future in order to use the earth resources efficiently to reduce the greenhouse gas emissions and to decouple the economic growth from the environmental degradation new or customized methods have to be applied to support decisions makers in the choice of environmental friendly products and to select policy priorities and sustainable strategies a modified input output model can aid to analyse the relationships among economic growth energy consumptions and pollutants in order to assess the energy and environmental impacts due to the actual production and consumption patterns the following paper introduces an energy and environmental extended input output model and combines it with the life cycle assessment lca methodology the authors apply this model to the italian context in order to assess the energy and environmental impacts related to the consumptions of the italian households in the period 1999 2006 and to identify the economic sectors involving the highest impacts the paper represents one of the first italian studies aimed at identifying those national economic sectors and final goods and services to be assumed prior in the definition of sustainable production and consumption strategies results show that about the 70 of the total energy needed to meet the household final demand of products is consumed by the productive sectors in particular tertiary electricity gas and vapour road transports and food and beverage sectors are the most contributors accounting for about 75 further the environmental impact analysis associated to italian households consumptions is carried out starting from three different data sources the results point out that to include emissions arising both from energy and non energy sources in the assessment of environmental impacts is of paramount importance to obtain reliable simulations of the link between households consumptions and energy and environmental performances

analysis and applications of replenishment problems under stepwise transportation costs and generalized wholesale prices abstract in this study we analyze the replenishment decision of a buyer with the objective of maximizing total expected profits the buyer faces stepwise freight costs in inbound transportation and a hybrid wholesale price schedule given by a combination of all units discounts with economies and diseconomies of scale this general cost structure enables the model and the proposed solution to be also used for the supplier selection of a buyer under the single sourcing assumption we show that the buyer s replenishment problem reduces to finding and comparing the solutions of the following two subproblems i a replenishment problem involving wholesale prices given by an all units discount schedule with economies of scale and a lower bound on the replenishment quantity and ii a replenishment problem involving wholesale prices given by an all units discount schedule with diseconomies of scale and an upper bound on the replenishment quantity we propose solution methods for these two subproblems each of which stands alone as practical problems and utilize these methods to optimally solve the buyer s replenishment problem

a co ordination model combining incentive scheme and co ordination policy for a single vendor multi buyer supply chain abstract incentive scheme and co ordination policy are substantial components for the co ordination of a decentralized supply chain system but there is little work combining the two components as a single decision model li and wang 2007 this paper proposes a model which incorporates both incentive and co ordination issues into a single co ordination model for a single vendor multi buyer supply chain in the proposed model the co ordination is achieved by synchronizing ordering and production cycles while price discount which is based on the buyers order intervals is used as the incentive to motivate buyers to participate in the co ordination while the vendor is benefited from the co ordination by synchronized cycles the proposed price discount scheme can guarantee that a buyer s total relevant cost of co ordination will be reduced when compared with independent optimization more importantly the proposed price discount scheme does not require any cost information from the buyers

co2 emissions from household consumption in india between 1993 94 and 2006 07 a decomposition analysis abstract co 2 emission from anthropogenic activities is one of the major causes of global warming india being an agriculture dependent country global warming would mean monsoon instability and consequent food scarcity natural disasters and economic concerns however with proper policy interventions co 2 emissions can be controlled input output analysis has been used to estimate direct and indirect co 2 emissions by households for 1993 94 1998 99 2003 04 and 2006 07 complete decomposition analysis of the changes in co 2 emissions between 1993 94 and 2006 07 has been done to identify the causes into pollution energy intensity structure activity and population effects according to broad household consumption categories results indicate that activity structure and population effects are the main causes of increase in co 2 emission from household fuel consumption to identify the causes at the sectoral level a second decomposition has been done for changes between 2003 04 and 2006 07 to identify the causes in the next stage finally alternative energy policy options have been examined for each consumption category to reduce emissions combined strategies of technology upgradation fuel switching and market management in order to reduce co 2 emissions for sectors like batteries other non electrical machinery construction and electronic equipments including television for which all the effects are positive need to be adopted

data revisions are not well behaved we document the empirical properties of revisions to major macroeconomic variables in the united states our findings suggest that they do not satisfy simple desirable statistical properties in particular we find that these revisions do not have a zero mean which indicates that the initial announcements by statistical agencies are biased we also find that the revisions are quite large compared to the original variables and they are predictable using the information set at the time of the initial announcement which means that the initial announcements of statistical agencies are not rational forecasts

habit formation in consumption and its implications for monetary policy models this paper explores a monetary policy model with habit formation for consumers in which consumers utility depends in part on current consumption relative to past consumption the empirical tests developed in the paper show that one can reject the hypothesis of no habit formation with tremendous condence largely because the habit formation model captures the gradual hump shaped response of real spending to various shocks the paper then embeds the habit consumption specication in a monetary policy model and nds that the responses of both spending and inflation to monetary policy actions are signicantly improved by this modication jel d12 e52 e43

optimal monetary policy revisited does considering us real time data change things croushore 2011 and others have noted that monetary policy may be sensitive to inconsistencies between real time data available to policy makers when making their decisions and revised data which more accurately measureeconomic performance this paper extends the asymmetric preferencemodel suggested by ruge murcia 2003 in order to focus on these inconsistencies which arise because of the long lag between the real time data release and the revised data release we focus on two related monetary policy models in both models the central banker targets a weighted average of revised and real time inflation the models differ by what the second variable is in the monetary objective function with the first model using a weighted average of revised and real time output whereas the second model uses a weighted average of revised and real time unemployment our models identify several new potential sources of inflation bias due to data revisions in addition to the ones previously suggested in the literature our empirical results suggest that the federal reserve bank mainly focuses on targeting revised data for all three variables but it does weigh real time data too as a consequence the inflation bias induced by real time data increases by 12 6 basis points on average but this figure becomes roughly twice as large at the start of recessions

the predictive power of the term structure of interest rates in europe and the united states implications for the european central bank abstract this paper examines the relationship of the term structure of interest rates to monetary policy instruments and to subsequent real activity and inflation in both europe and the united states the results show that monetary policy is an important determinant of the term structure spread but is unlikely to be the only determinant in addition there is significant predictive power for both real activity and inflation the yield curve is thus a simple and accurate measure that should be viewed as one piece of useful information which along with other information can be used to help guide european monetary policy

household cooking fuels and technologies in developing economies abstract a major energy challenge of the 21 st century is the health and welfare of 2 7 billion people worldwide who currently rely on burning biomass in traditional household cooking systems this special issue on clean cooking fuels and technologies in developing economies builds upon an iaee workshop on this subject held in istanbul in 2008 foell et al 2008 it includes several papers from that workshop plus papers commissioned afterwards the major themes of that workshop and this special issue are analytical and decision frameworks for analysis and policy development for clean cooking fuels making energy provisioning a central component of development strategies strategies business models of suppliers of modern fuels and technologies analysis of successes failures of past policies and programs to improve access to clean cooking this introductory paper serves as a preamble to the 11 papers in this special issue it provides a brief background on household cooking fuels and technologies including 1 their implications for sustainable development health and welfare gender impacts and environment climate issues 2 options and scenarios for improved household cooling systems and 3 discussions of institutions programs and markets it closes with research and action agendas initially developed during the 2008 workshop

fuelwood consumption and forest degradation a household model for domestic energy substitution in rural india this paper disusses domestic en ergy supply and demand in rural india links be tween forest scarcity and household fuel collec tion are analyzed in a non separable household model focusing on substitution of non commer cial fuels from the commons and the private do main based on data from villages bordering a protected area a novel maximum entropy ap proach is used for estimation it is found that households respond to forest scarcity and in creased fuelwood collection time by substituting fuels from private sources for forest fuelwood however the magnitude of the response appears insufficient to prevent current fuelwood collection practices from causing serious forest degrada tion jel q24

the un importance of forward looking behavior in price specifications the seminal work of edmund s phelps 1978 john b taylor 1980 and guillermo a calvo 1983 developed forward looking models of price determination that imparted inertia to the price level these models incorporate expectations of future prices and excess demand by imposing constraints typically lag lead symmetry constraints that force future variables to enter the specification in this paper the author tests the empirical significance of future prices in specifications like those of taylor he finds that expectations of future prices are empirically unimportant in explaining price and inflation behavior however the dynamics of a model that includes a purely backward looking inflation specification differ substantially and not altogether pleasingly from those with a forward looking specification copyright 1997 by ohio state university press

are preliminary announcements of the money stock rational forecasts abstract we develop a theoretical framework of analyzing preliminary announcements of economic data and then apply this framework to the money stock we find that preliminary announcements of the money stock are best characterized as measured with classical errors in variables that is the revision is not correlated with the true value of the series the revision is however forecastable using information available at the time of the preliminary announcement our ability to forecast the revision implies that preliminary announcements are not rational estimates of the true money stock

energy consumption during cooking in the residential sector of developed nations a review abstract residential cooking is essential for the enhancement of safety and quality of a substantial number of food products but the energy requirements for cooking can be prodigious and individual household energy use varies considerably this review evaluates the current state of energy efficiency during household cooking in developed countries and identifies potential policy changes that may have an impact on reducing energy consumption the primary factors affecting energy consumption include 1 the production and transport efficiency of fuel sources electricity natural gas wood etc 2 the appliance or end use efficiency and 3 the behavior of the consumer during cooking regarding appliance efficiencies some improvements are plausible and policies should be directed towards reducing or alleviating stand by energy consumption in new products however the most promising energy conservation tactic is consumer behavior modifications since individual cooking practices can reduce expenditures by as much as 95 thus policies should be directed towards consumer education to have the most marked effect on household energy consumption although cooking is only one aspect of food production it is a universal requisite for food safety in the residential sector and implementing policies that reduce energy consumption during cooking may have an impact on global energy demands

induction stoves as an option for clean cooking in rural india abstract as part of a programme on access to clean cooking alternatives in rural india induction stoves were introduced in nearly 4000 rural households in himachal pradesh one of the few highly electrified states in india analysis of primary usage information from 1000 rural households revealed that electricity majorly replaced liquid petroleum gas lpg generally used as a secondary cooking fuel but did not influence a similar shift from traditional mud stoves as the primary cooking technology likewise the shift from firewood to electricity as a primary cooking fuel was observed in only 5 of the households studied country level analysis indicates that rural households falling in lower monthly per capita expenditure mpce classes have lesser access to electricity and clean cooking options than those falling in higher mpce classes again only three states in india with high levels of rural household electrification report consumption statuses more than 82 kwh per month the estimated mean for electricity consumption by induction stoves overall the results of the study indicate that induction stoves will have limited potential in reducing the consumption of firewood and lpg if included in energy access programmes that too only in regions where high levels of electrification exist

why have improved cook stove initiatives in india failed summary an estimated 2 7 billion people cook meals on biomass fueled brick stone and clay stoves scarcity of wood and negative impacts on health and environment have motivated efforts to design and distribute improved cook stoves in developing countries in india adoption is limited despite massive promotion over many decades existing research suggests that many rural women in india do not want improved stoves and those who do face obstacles to adoption we step back from the many good case studies to examine the broader story of improved cook stoves ics in india we do so by bringing together technical research of applied science and narrative critique of social science rather than assuming a priori that traditional stoves require replacement we ask why indian cook stoves been a magnet for so much attention why adoptions rates have remained low and what lessons might be learned from a broad multi disciplinary perspective our approach is critical and reflexive given our own involvement in ic efforts and puts gender at the center our big picture review shows that the indian chulha for all its problems is a remarkably successful technology which also satisfies several important household needs hence targeting this device for obsolescence has profound implications that cannot be reduced to energy consumption or environmental hazards rural women do not prioritize ics but addressing their priorities requires either capital intensive investment or challenging powerful institutions in contrast ic interventions are relatively cheap decentralized mechanical and seemingly apolitical hence their popularity in development programs our review of chulha research leads us to reject both the optimism of development planners who frame such problems as technical and the antagonistic pessimism of their critics searching for a middle ground requires stepping back from the dogma of efforts to improve biomass cook stoves

monetary policy rules based on real time data this paper examines the magnitude of informational problems associated with the implementation and interpretation of simple monetary policy rules using taylor s rule as an example i demonstrate that real time policy recommendations differ considerably from those obtained with ex post revised data further estimated policy reaction functions based on ex post revised data provide misleading descriptions of historical policy and obscure the behavior suggested by information available to the federal reserve in real time these results indicate that reliance on the information actually available to policy makers in real time is essential for the analysis of monetary policy rules

comparison of household consumption and regional production approaches to assess urban energy use and implications for policy assessment of urban energy use may proceed by a number of methods here we derive an energy account from local statistics and compare them with an input output io analysis as applied to melbourne australia these approaches highlight different aspects of urban energy use and comparable outputs are presented together to assess consistency to identify complementarities and discuss the insight each approach brings to understanding urban energy the io method captures the direct and embodied primary energy requirements of local household expenditure 235 8 gj capita year while the regional assessment more directly accounts for local production activity 258 1 gj capita year the parity of these results is unexpected for a developed city with a strong tertiary sector sectoral detail reveals differences between the primary energy required by melbourne s economic structure and that ultimately required through the full supply chain relating to household expenditure this is accompanied by an io analysis of the geography of melbourne s energy catchment it is suggested that the io consumption and regional production approaches have particular relevance to policies aimed at consumption behaviour and economic re structuring respectively their complementarity further suggests that a combined analysis would be valuable in understanding urban energy futures and economic transitions elsewhere

integrated lot sizing in serial supply chains with production capacities we consider a model for a serial supply chain in which production inventory and transportation decisions are integrated in the presence of production capacities and concave cost functions the model we study generalizes the uncapacitated serial single item multilevel economic lot sizing model by adding stationary production capacities at the manufacturer level we present algorithms with a running time that is polynomial in the planning horizon when all cost functions are concave in addition we consider different transportation and inventory holding cost structures that yield improved running times inventory holding cost functions that are linear and transportation cost functions that are either linear or are concave with a fixed charge structure in the latter case we make the additional common and reasonable assumption that the variable transportation and inventory costs are such that holding inventories at higher levels in the supply chain is more attractive from a variable cost perspective while the running times of the algorithms are exponential in the number of levels in the supply chain in the general concave cost case the running times are remarkably insensitive to the number of levels for the other two cost structures

monetary policy shifts and long term interest rates the pure expectations hypothesis peh serves as the benchmark model for the relationship between yields on bonds of different maturities when coupled with rational expectations however empirical renderings of the model fail miserably i explore the possibility that failure to account for changes in monetary policy regime explains much of the failure of the peh estimating changing monetary regimes in conjunction with the peh significantly improves its performance the predicted spread between the long and short rates is highly correlated with the actual spread the standard deviation of the theoretical spread is nearly identical to that of the actual spread

arresting the killer in the kitchen the promises and pitfalls of commercializing improved cookstoves summary in a shift exemplary of neoliberal approaches to development major funders of household energy interventions have begun to emphasize market based stove dissemination over partially subsidized models stove promoters are increasingly expected to operate as self sustaining businesses this shift is viewed as a way to scale up in order to reach millions of poor households lacking access to clean cooking technologies using the case of gira an ngo that has successfully distributed cookstoves in mexico s central highlands for nearly two decades we demonstrate how this trend presents challenges for organizations operating effectively with outside funding in highly contextual local conditions 2009 elsevier ltd all rights reserved

inflation targeting some extensions previous analyses of the implementation of inflation targeting are extended to monetary policy responses to different shocks consequences of model uncertainty and effects of interest rate smoothing and stabilization model uncertainty output stabilization and interest rate stabilization or smoothing all call for a more gradual adjustment of the conditional inflation forecast toward the inflation target the conditional inflation forecast is the natural intermediate target during inflation targeting the optimal way of reacting to shocks is hence to check how they affect the inflation forecast and then take the appropriate action jel classification e42 e52 e58

trade linked canada united states household environmental impact analysis of energy use and greenhouse gas emissions abstract we compare energy use and greenhouse gas ghg emissions associated with total household expenditures and activities in canada and us in 1997 the first detailed estimate of environmental burdens for canadian households we estimate direct burdens from published government data and indirect burdens using an industry by commodity bi national economic input output life cycle assessment model developed in this study comparing 30 expenditure and two activity categories per capita us household expenditures were 70 higher while per capita household energy use and ghg emissions were only 10 and 44 higher respectively energy use dollar of expenditure was higher in most canadian categories while the average ratio of ghg emissions energy use was higher in the us 65 vs 50 kg eq co 2 gj due largely to a higher proportion of electricity from nonrenewable sources indirect environmental burdens represented 63 69 of total burdens and 62 70 of total burdens were associated with household operation and transportation key drivers of differences between energy profiles were higher per capita electricity use by canadian households and higher us household private health care expenditures and motor fuel use energy intensive production for export represented a higher proportion of canadian production resulting in less agreement between consumption and production based analyses for canada than us

analysis of the energy access improvement and its socio economic impacts in rural areas of developing countries abstract access to modern energy is one of the most basic requirements for development in rural areas of developing countries there are a large number of people who do not have access to lpg and depend on traditional biomass such as wood crop and dung for cooking in addition energy has numerous and complex links with poverty reduction therefore it is important to estimate the impacts of energy access improvement on socio economic situation in the rural areas of developing countries quantitatively this study focuses on socio economic impacts of cooking demand through changes in stoves adopted by the rural households we have developed an energy economic model of rural areas in india to analyze the links between energy income and health hazard applying both opportunity cost for using fuelwood and exposure to resipirable suspended particulate matter rspm as a result of the analysis there is a positive relation between the opportunity cost and the average rspm exposure of women in the rural areas following to increase in the opportunity cost that is income the cost of an improved wood stove becomes relatively lower first than that of a traditional wood stove and then a gas stove attains price competitiveness it is achieved that the average rspm exposure is below the who and japanese criteria for suspended particulate matter spm 190 and 100 g m3 at the opportunity cost of us 9 and 15 gj respectively

who emits most associations between socio economic factors and uk households home energy transport indirect and total co2 emissions abstract does the association between household characteristics and household co2 emissions differ for areas such as home energy transport and indirect emissions this question is policy relevant because distributional implications of mitigation policies may vary depending on the area of emissions that is targeted if specific types of households are likely to have higher emissions in some areas than in others so far this issue has not been examined in depth in the literature on household co2 emissions using a representative uk expenditure survey this paper compares how household characteristics like income household size education gender worklessness and rural or urban location differ in their association with all three areas as well as total emissions we find that these associations vary considerably across emission domains in particular whilst all types of emissions rise with income low income workless and elderly households are more likely to have high emissions from home energy than from other domains suggesting that they may be less affected by carbon taxes on transport or total emissions this demonstrates that fairness implications related to mitigation policies need to be examined for separate emission domains

the role of income in energy consumption behaviour evidence from french households data the main purpose of this paper is to characterise quantitatively the impact of income on household energy consumption in the residential and transport sectors starting from the data collected in a paper survey we analyse the extent of the constraint experienced by households in terms of equipment purchasing behaviour and daily energy consumption this analysis shows that the least well off households are particularly constrained since the share of their budget represented by these energy services is very large 15 25 and this corresponds to a level of energy service well below that of the better off households the case of space heating shows a factor of 2 in terms of level of comfort achieved between the extreme 10 percentiles these households also face a strong capital constraint for equipment purchases this leads either to a large increase in the required rate of return or to a reduction in the proportion of households that are prepared to replace their equipment earlier the least well off households are thus doubly constrained since it is more difficult for them to invest in our opinion it is crucial to take into account this observation in the context of political measures aimed at reducing households co2 emissions

a two stage supply chain coordination mechanism considering price sensitive demand and quantity discounts abstract this paper explores the coordination between a supplier and a buyer within a decentralized supply chain through the use of quantity discounts in a game theoretic model within this model the players face inventory and pricing decisions we propose both cooperative and non cooperative approaches considering that the product traded experiences a price sensitive demand in the first case we study the dynamics of the game from the supplier s side as the leader in the negotiation obtaining a stackelberg equilibrium and then show how the payoff of this player could still improve from this point in the second case a cooperative model is formulated where decisions are taken simultaneously emulating a centralized firm showing the benefits of the cooperation between the players we further formulate a pricing game where the buyer is allowed to set different prices to the final customer as a reaction to the supplier s discount decisions for the latter we investigate the difference between feasibility of implementing a retail discount given a current coordination mechanism and without it finally the implications of transportation costs are analyzed in the quantity discount schedule our findings are illustrated with a numerical example showing the difference in the players payoff in each case and the optimal strategies comparing in each case our results with existing work

understanding the political economy and key drivers of energy access in addressing national energy access priorities and policies abstract globally 1 5 billion people lack access to electricity and nearly 3 billion lack access to modern cooking energy options of the world s energy poor 95 are in asia and sub saharan africa within asia almost 80 of electricity deprived and 86 of biomass dependent populations are in the big 5 countries bangladesh china india indonesia and pakistan in this paper we discuss the broad contours of the political economy of energy access in these countries the political economy is assessed through an examination of three sustainability objectives accessibility of physical infrastructure energy service delivery and conformance to social goals the key areas of concern include emphasis on supply driven grid electricity vested power dynamics favouring affluent and urban areas unreliability of energy service provision and misdirected and misappropriated subsidies the above mentioned issues are responsible for limiting accelerated achievement of universal energy access in the big 5 countries and need to be addressed through innovative approaches the paper emphasizes the need for firm commitments policy convergence and the implementation of pro poor equitable energy policies through a broad based energy framework of bench marked technology neutral energy provisioning that ensures reliability and equity it highlights the need for reorienting of the subsidy regime and incorporating energy service delivery indicators in monitoring and reporting mechanisms

a bibliometric review energy consumption and greenhouse gas emissions in the residential sector residential sector has been one key sector for reducing its greenhouse gas emissions due to its significant contribution to global warming researchers in different countries have studied household energy consumption patterns and greenhouse gas emissions in order to promote low carbon lifestyles however few review papers have been published in this regard leading to a lack of systematic understanding on the related research achievements hence by using a bibliometric approach this paper aims to review the existing literature and examine the evolution of such a field so that the research trends can be uncovered including popular research methods citation analysis is performed to assess the influence of most productive journals countries territories and authors network analysis is also conducted to evaluate the relationship among different countries territories authors and keywords research outcomes of this paper present a comprehensive research picture on residential energy consumption and corresponding greenhouse gas emissions ree related papers published from 1997 to 2016 the most productive journals countries territories authors are also analyzed based on citation analysis and network analysis in addition results also revealed that behavioral analysis input output analysis life cycle assessment and cost benefit analysis are the most commonly used methods in this field results obtained from this study can provide valuable information for researchers interested in the ree related field

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

residential energy consumption in urban china a decomposition analysis abstract residential energy consumption rec is the second largest energy use category 10 in china and urban residents account for 63 of the rec understanding the underlying drivers of variations of urban rec thus helps to identify challenges and opportunities and provide advices for future policy measures this paper applies the lmdi method to a decomposition of china s urban rec during the period of 1998 2007 at disaggregated product activity level using data collected from a wide range of sources our results have shown an extensive structure change towards a more energy intensive household consumption structure as well as an intensive structure change towards high quality and cleaner energy such as electricity oil and natural gas which reflects a changing lifestyle and consumption mode in pursuit of a higher level of comfort convenience and environmental protection we have also found that china s price reforms in the energy sector have contributed to a reduction of rec while scale factors including increased urban population and income levels have played a key role in the rapid growth of rec we suggest that further deregulation in energy prices and regulatory as well as voluntary energy efficiency and conservation policies in the residential sector should be promoted

a century of evolution from harris s basic lot size model survey and research agenda abstract determining the economic lot size has always represented one of the most important issues in production planning this problem has long attracted the attention of researchers and several models have been developed to meet requirements at minimum cost in this paper we explore and discuss the evolution of these models during one hundred years of history starting from the basic model developed by harris in 1913 up to today following harris s work a number of researchers have devised extensions that incorporate additional considerations the evolution of eoq theory strongly reflects the development of industrial systems over the past century here we outline all the research areas faced in the past by conducting a holistic analysis of 219 selected journal papers and trying to give a comprehensive view of past work on the eoq problem finally a new research agenda is proposed and discussed

new keynesian economics and the phillips curve models with sticky prices are an important part of new keynesian economics the author shows that several of the new keynesian models imply a formulation that is similar to the expectations augmented phillips curve of milton friedman and edmund phelps he then presents new estimates of the new keynesian phillips curve the author uses two proxies for price expectations survey based measures and an econometric based measure originally developed by bennett mccallum 1976 overall the results are consistent with the model but the survey based results are more precise suggesting that the surveys may be better measures of actual expectations copyright 1995 by ohio state university press

a macro finance model of the term structure monetary policy and the economy this paper develops and estimates a macro finance model that combines a canonical affine no arbitrage finance specification of the term structure with standard macroeconomic aggregate relationships for output and inflation from this new empirical formulation we obtain several interesting results 1 the latent term structure factors from finance no arbitrage models appear to have important macroeconomic and monetary policy underpinnings 2 there is no evidence of monetary policy inertia or a slow partial adjustment of the policy interest rate by the federal reserve and 3 both forward looking and backward looking elements play important roles in macroeconomic dynamics

the impact of household consumption patterns on emissions in spain abstract the aim of this paper is to analyse the relationship between household consumption patterns and pollution in the spanish economy the analysis was carried using a social accounting matrix sam for the spanish economy prepared for 1999 taking the final demand of households as the exogenous account in the sam framework and combining this with the information provided by the household budget continuous survey on income and consumption ine 1999 we analyse the pollution produced by both the economy and households in order to satisfy consumption requirements we also consider the effects of income inequality on expenditure levels establishing a link between income level consumption patterns propensity to consume and co2 emissions

estimation and control of an optimization based model with sticky prices and wages abstract this paper provides estimates of an optimization based equilibrium model with sticky prices and wages the estimated model is used to analyse the welfare properties of various interest rate rules for conducting monetary policy an important feature of this model is that it involves a tradeoff between the variances of price and wage inflation and the output gap this tradeoff implies that it is desirable for the monetary authority to respond to wage inflation in addition to price inflation output and past interest rates when setting the current interest rate the issue whether wages and prices can be indexed to steady state inflation has important implications both for the characterization of optimal interest rate rules and interest rate volatility in particular optimal policy in the presence of indexation induces implausibly high steady state inflation

on the effectiveness of zero inventory ordering policies for the economic lot sizing model with a class of piecewise linear cost structures we consider an economic lot sizing problem with a special class of piecewise linear ordering costs which we refer to as the class of modified all unit discount cost functions such an ordering cost function represents transportation costs charged by many less than truckload carriers we show that even special cases of the lot sizing problem are np hard and therefore analyze the effectiveness of easily implementable policies in particular we demonstrate that there exists a zero inventory ordering zio policy i e a policy in which an order is placed only when the inventory level drops to zero whose total inventory and ordering cost is no more than 4 3 times the optimal cost furthermore if the ordering cost function does not vary over time then the cost of the best zio policy is no more than 5 6 4 6 times the optimal cost these results hold for any transportation and holding cost functions that satisfy the following properties i they are non decreasing functions and ii the associated cost per unit is non increasing finally we report on a numerical study that shows the effectiveness of zio policies on a set of test problems

has monetary policy become more effective we investigate the implications of changes in the structure of the u s economy for monetary policy effectiveness estimating a vector autoregression over the pre and post 1980 periods we provide evidence of a reduced effect of monetary policy shocks in the latter period we estimate a structural model that replicates well the economy s response in both periods and perform counterfactual experiments to determine the source of the change in the monetary transmission mechanism and in the economy s volatility we find that by responding more strongly to inflation expectations monetary policy has stabilized the economy more effectively in the post 1980 period

the behavior of interest rates implied by the term structure of eurodollar futures this paper considers an equilibrium model of the term structure that is determined by two stochastic factors a short term interest rate and a target level to which the short rate is expected to revert a kalman filter technique that uses a time series cross section of eurodollar futures prices is developed to estimate the parameters of the model the term structures of spot libor and eurodollar futures volatility are compared to that predicted by the model the empirical results indicate that the two factor specification represents a significant improvement over its one factor version copyright 1996 by ohio state university press

term structure evidence on interest rate smoothing and monetary policy inertia abstract numerous studies have used quarterly data to estimate monetary policy rules or reaction functions that appear to exhibit a very slow partial adjustment of the policy interest rate the conventional wisdom asserts that this gradual adjustment reflects a policy inertia or interest rate smoothing behavior by central banks however such quarterly monetary policy inertia would imply a large amount of forecastable variation in interest rates at horizons of more than 3 months which is contradicted by evidence from the term structure of interest rates the illusion of monetary policy inertia evident in the estimated policy rules likely reflects the persistent shocks that central banks face

the taylor rule and interest rates in the emu area abstract we demonstrate that average interest rates in the emu countries in 1990 98 with the exception of the period of exchange market turmoil in 1992 93 moved very closely with average output gaps and inflation as suggested by the taylor rule

does the fed act gradually a var analysis abstract the tendency for changes in the federal funds rate to be implemented gradually has been considered evidence of an interest rate smoothing objective for the federal reserve this paper investigates whether gradual funds rate movements can be explained by the dynamic structure of the economy and the uncertainty surrounding that structure without recourse to including an ad hoc interest rate smoothing argument in the fed s objective function in the absence of parameter uncertainty the optimal policy involves more aggressive movements in the funds rate than observed parameter uncertainty however limits the responsiveness of the interest rate as a result the optimal policy under parameter uncertainty can account for a considerable portion of the gradualism observed

dynamic lot sizing with batch ordering and truckload discounts this paper studies two important variants of the dynamic economic lot sizing problem that are applicable to a wide range of real world situations in the first model production in each time period is restricted to a multiple of a constant batch size where backlogging is allowed and all cost parameters are time varying several properties of the optimal solution are discussed based on these properties an efficient dynamic programming algorithm is developed the efficiency of the dynamic program is further improved through the use of monge matrices using the results developed for the first model an o n3log n algorithm is developed to solve the second model which has a general form of product acquisition cost structure including a fixed charge for each acquisition a variable unit production cost and a freight cost with a truckload discount this algorithm can also be used to solve a more general problem with concave cost functions

were there regime switches in u s monetary policy working paper 2004 14 june 2004 abstract a multivariate model identifying monetary policy and allowing for simultaneity and regime switching in coefficients and variances is confronted with u s data since 1959 the best fit is with a model that allows time variation in structural disturbance variances only among models that also allow for changes in equation coefficients the best fit is for a model that allows coefficients to change only in the monetary policy rule that model allows switching among three main regimes and one rarely and briefly occurring regime the three main regimes correspond roughly to periods when most observers believe that monetary policy actually differed and the differences in policy behavior are substantively interesting though statistically ill determined the estimates imply monetary targeting was central in the early 80s but was also important sporadically in the 70s the changes in regime were essential neither to the rise in inflation in the 70s nor to its decline in the 80s jel classification e52 e47 c53 key words counterfactuals lucas critique policy rule monetary targeting simultaneity volatility model comparison i the debate over monetary policy change in an influential paper clarida gali and gertler 2000 cgg presented evidence that us monetary policy changed between the 1970 s and the 1980 s indeed that in the 70 s it was drastically worse they found that the policy rule apparently followed in the 70 s was one that when embedded in most stochastic general equilibrium models would imply non uniqueness of the equilibrium and hence vulnerability of the economy to sunspot fluctuations of arbitrarily large size their estimated policy rule for the later period on the other hand eliminated this indeterminacy these results are a possible explanation of the volatile and rising inflation of the 70 s and of its subsequent decline the cgg analysis has two important weaknesses one is that it fails to account for stochastic volatility us macroeconomic variables and particularly the federal funds rate have gone through periods of tranquility and of agitation with forecast error variances varying greatly from period to period ignoring such variation does not lead to inconsistent estimates of model parameters when the forecasting equations themselves are constant but it strongly biases toward a finding of changed parameters tests of the stability of the forecasting equations the other weakness is that the cgg analysis rests on powerful and implausible identifying assumptions they require that we accept that the response of the monetary authority to expected future inflation and output does not depend on the recent history of inflation money growth or output it is hard to understand why this should be so especially in the 70 s when monetarism was a prominent theme in policy debates congress was requiring reports from the fed of projected time paths of monetary aggregates and financial markets were reacting sensitively to weekly money supply numbers the requirement for existence and uniqueness of equilibrium in dynamic models is that the monetary policy rule show a more than unit response of interest rates to the sum of the logs of all nominal variables that appear on the right hand side of the reaction function if we force a particular measure of expected future inflation to proxy for all the nominal variables that actually appear independently in the reaction function we are bound to get distorted conclusions on the one hand because expected future inflation will be a noisy measure of the full set of nominal influences on policy we might get downward bias in our estimates from the usual errorsin variables effect on the other hand to the extent that expected future inflation like most expected future values shows less variation than current nominal variables we could find a mistaken scaling up of coefficients

priors from general equilibrium models for vars abstract this paper uses a simple new keynesian dynamic stochastic general equilibrium model as a prior for a vector autoregression shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis jel classification c11 c32 c53 key words bayesian analysis dsge models forecasting vector autoregressions 1 introduction dynamic stochastic general equilibrium dsge models are popular nowadays in macroeconomics they are taught in virtually every economics ph d program and represent a predominant share of publications in the field yet when it comes to policy making these models are scarcely used at least from a quantitative point of view the main quantitative workhorse for policy making at the federal reserve system is frb us a macro econometric model built in the cowles foundation tradition a style of macroeconomics that is no longer taught in many ph d programs 1 in their decision process fed policy makers rely heavily on forecasting they want to know the expected path of inflation in the next few quarters and by how much a 50 basis point increase in the federal funds rate would affect that path frb us offers answers to these questions answers that many macroeconomists would regard with suspicion given both the lucas 1976 critique and the fact that in general the restrictions imposed by cowles foundation models are at odds with dynamic general equilibrium macroeconomics sims 1980 general equilibrium models on the other hand have a hard time providing alternative answers the fact that these models are perceived to do badly in terms of forecasting as they are scarcely parameterized is perhaps one of the reasons why they are not at the forefront of policy making while progress is being made in the development of dsge models that deliver acceptable forecasts e g smets and wouters 2003 this paper proposes an approach that combines a stylized general equilibrium model with a vector autoregression var to obtain a specification that both forecasts well and is usable for policy analysis specifically the approach involves using prior information coming from a dsge model in the estimation of a vector autoregression loosely speaking this prior can be thought of as the result of the following exercise i simulate time series data from the dsge model ii fit a var to these data in practice we replace the sample moments of the simulated data by population moments computed from the dsge model solution since the dsge model depends on unknown structural parameters we use a hierarchical prior in our analysis by placing a distribution on the dsge model parameters a tightness parameter controls the weight of the dsge model prior relative to the weight of the actual sample markov chain monte carlo methods are used to generate draws from the joint posterior distribution of the var and dsge model parameters the paper shows that the approach makes even a fairly stylized new keynesian dsge model competitive with standard benchmarks in terms of forecasting real output growth inflation and the nominal interest rate the three variables that are of most interest to policy makers 2 up to this point our procedure borrows from the work of dejong ingram and whiteman 1993 and ingram and whiteman 1994 who are the first to use priors from dsge models for vars ingram and whiteman showed that prior information from the bare bones stochastic growth model of king plosser and rebelo 1988 is helpful in forecasting real economic activity such as output consumption investment and hours worked in addition to documenting the forecasting performance of a trivariate var with a prior derived from a monetary dsge model this paper makes two contributions that significantly extend the earlier work first we show formally how posterior inference for the var parameters can be translated into posterior inference for dsge model parameters

incorporating quantity discounts to the eoq model with transportation costs abstract this article extends a previous economic order quantity eoq model with two modes of transportation namely truckload tl and less than truckload ltl carriers by introducing all units and incremental quantity discount structures into the analysis exact algorithms are developed for each quantity discount structure to compute optimal policies for single stage models over an infinite planning horizon

on the fit of new keynesian models this article provides new tools for the evaluation of dynamic stochastic general equilibrium dsge models and applies them to a large scale new keynesian model we approximate the dsge model by a vector autoregression and then systematically relax the implied cross equation restrictions and document how the model fit changes we also compare the dsge model s impulse responses to structural shocks with those obtained after relaxing its restrictions we find that the degree of misspecification in this large scale dsge model is no longer so large as to prevent its use in day to day policy analysis yet is not small enough to be ignored

the impact of household behavioral changes on ghg emission reduction in lithuania abstract it is commonly understood that households must change their behavior to reduce problems related increased energy consumption and climate change therefore in the search of cheap ghg emission reduction measures households are an important target group because they are responsible for more than 20 of total energy consumption in developed countries in addition waste management and responsible consumption of products are the key issues in ghg emission reduction the aim of the paper is to assess ghg emission reduction potential in households in terms of behavioral changes towards sustainable consumption the review of literature on analysis of households behavioral changes impact on ghg emission reduction was performed the daily survey of household agenda and energy use records were performed in lithuania for two scenarios baseline and ghg emission reduction scenario including energy saving ghg emission reduction potential in household was assessed based on daily survey data and energy consumption records by applying carbon calculator based on modified coefficients evaluated ghg emission reduction potential in households was compared with ghg emission reduction potentials in other sectors of lithuania based on analysis performed in the paper the tools to promote household behavioral changes towards sustainable consumption were proposed

quantifying the global and distributional aspects of american household carbon footprint abstract analysis of household consumption and its environmental impact remains one of the most important topics in sustainability research nevertheless much past and recent work has focused on domestic national averages neglecting both the growing importance of international trade on household carbon footprint and the variation between households of different income levels and demographics using consumer expenditure surveys and multi country life cycle assessment techniques this paper analyzes the global and distributional aspects of american household carbon footprint we find that due to recently increased international trade 30 of total us household co 2 impact in 2004 occurred outside the us further households vary considerably in their co 2 responsibilities at least a factor of ten difference exists between low and high impact households with total household income and expenditure being the best predictors of both domestic and international portions of the total co 2 impact the global location of emissions which cannot be calculated using standard input output analysis and the variation of household impacts with income have important ramifications for polices designed to lower consumer impacts on climate change such as carbon taxes the effectiveness and fairness of such policies hinges on a proper understanding of how income distributions rebound effects and international trade affect them

monetary policy with signal extraction from the bond market monetary policy is conducted in an environment of uncertainty this paper presents a model where the central bank uses real time data from the bond market together with standard macroeconomic indicators to infer the current state of the economy more efficiently while taking into account that its own actions influence the bond market and therefore what it observes that the central bank uses the information in the term structure to set policy creates a link between the bond market and the macroeconomy that is novel to the literature the estimated model suggests that there is some information in us yields of maturities of less than 1 year that can help the federal reserve to identify shocks to the economy on a timely basis

on the informational role of term structure in the us monetary policy rule abstract this paper uses a structural approach based on the indirect inference principle to estimate a standard version of the new keynesian monetary nkm model augmented with term structure using both revised and real time data the estimation results show that the term spread and policy inertia are both important determinants of the us estimated monetary policy rule whereas the persistence of shocks plays a small but significant role when revised and real time data of output and inflation are both considered more importantly the relative importance of term spread and persistent shocks in the policy rule and the shock transmission mechanism drastically change when it is taken into account that real time data are not well behaved

understanding the spectrum of residential energy consumption a quantile regression approach abstract residential energy consumption accounts for 22 of the total energy consumption in the us however the impacts of local planning policies such as increasing density and changing the housing type mix on residential energy consumption are not well understood using residential energy consumption survey data from the energy information administration quantile regression analysis was used to tease out the effects of various factors on entire distribution on the energy consumption spectrum instead of focusing on the conditional average results show that while housing size matters for space conditioning housing type has a more nuanced impact self reported neighborhood density does not seem to have any impact on energy use furthermore the effects of these factors at the tails of the energy use distribution are substantially different than the average in some cases differing by a factor of six some not all types of multifamily housing offer almost as much savings as reduction in housing area by 100 m 2 compared to single family houses

game theoretic pricing and ordering decisions with partial lost sales in two stage supply chains abstract few papers have studied the optimal pricing and ordering with partial lost sales from a two stage game theoretic perspective this paper considers a supply chain game with a buyer and a seller through pricing and ordering models with partial lost sales we evaluate the optimal solutions for the buyer and the seller and provide insights into both the deterministic and stochastic demand models we also propose search algorithms to obtain the global optimum when convexity and concavity conditions are not satisfied

incorporating quantity discounts and their inventory impacts into the centralized purchasing decision multi site organizations must balance conflicting forces to determine the appropriate degree of purchasing centralization for their respective supplies the ability to garner quantity discounts represents one of the primary reasons that organizations centralize procurement this paper provides methodologies to calculate optimal order quantities and compute total purchasing and inventory costs when products have quantity discount pricing procedures for both all units and incremental quantity discount schedules are provided for four different strategic purchasing configurations scenarios complete decentralization centralized pricing with decentralized purchasing centralized purchasing with local distribution and centralized purchasing and warehousing for ordering decisions under local distribution procedures to determine optimal order quantities and costs are presented in a precise form that could be easily implemented into spreadsheets by practicing managers for the more complicated multi echelon scenarios we introduce a single cycle policy with a tailored aggregation refinement step that performs very well under experimentation when compared to a conservative bound