nonlinear pricing to produce information we investigate the firm s dynamic nonlinear pricing problem when facing consumers whose tastes vary according to a scalar index we relax the standard assumption that the firm knows the distribution of this index in general the firm should determine its marginal price schedule as if it were myopic and produce information by lowering the price schedule bunching consumers at positive purchase levels should be avoided as a special case we also consider a market characterized by homogeneous consumers with a static but unknown demand curve we show that when there are repeat purchases the forward looking firm should tend towards penetration pricing otherwise its strategy should tend towards skimming we extend our insights to more general settings and discuss implications for pricing product lines

a special case of dynamic pricing policy this article studies the implications of experience curves and brand loyalty for optimal dynamic pricing policy in a continuous time model we synthesize several results from the literature on open loop equilibria specifically we show that prices should decrease over time for high discount rates and steeper exogenous declines in variable costs conversely the prices should increase over time if experience curves affect fixed costs and if consumers are brand loyal

exploring the potential for energy conservation in french households through hybrid modeling although the building sector is recognized as having major potential for energy conservation and carbon dioxide emissions mitigation conventional bottom up and top down models are limited in their ability to capture the complex economic and technological dynamics of the sector this paper introduces a hybrid framework developed to assess future household energy demand in france res irf a bottom up module of energy consumption for space heating has several distinctive features i a clear separation between energy efficiency i e investment in energy efficient technologies and sufficiency i e changes in the utilization of energy consuming durables which allows the rebound effect to be assessed ii the inclusion of barriers to energy efficiency in the form of intangible costs consumer heterogeneity parameters and the learning by doing process iii an endogenous determination of retrofitting which represents trade offs between retrofit quantity and quality subsequently res irf is linked to the imaclim r computable general equilibrium model this exercise shows that compared to a 37 reduction in final energy demand achievable in business as usual in existing dwellings an additional reduction of 14 could be achieved if relevant barriers to efficiency and sufficiency were overcome

residential energy demand in oecd countries and the role of irreversible efficiency improvements abstract after undergoing substantial changes during a period of high energy prices household energy demand did not rebound in times of declining energy prices as might have been expected hence other factors such as irreversible improvements in technical efficiency must be understood in order to describe both past and future household energy demand in this paper we consider irreversible efficiency improvements as a major reason for the moderate growth in energy demand after the plummeting of the oil price in 1985 we test different econometric models to take into account efficiency indicators the major conclusions of our investigation are i price elasticities are different for rising and falling prices for the latter they are close to zero implying a low rebound effect in the residential sector ii technical efficiency is an important parameter for describing and forecasting energy demand and iii income elasticities turn out to be higher once we incorporate indicators of technological efficiency in the process of estimating energy demand

reducing greenhouse gas emissions lessons from state climate action plans we examine how state level factors affect greenhouse gas ghg reduction policy preference across the united states by analyzing climate action plans caps developed in 11 states and surveying the cap advisory group members this research offers insights into how states approach the problem of choosing emissions abatement options that maximize benefits and minimize costs given their unique circumstances and the constellation of interest groups with power to influence state policy the state caps recommended ten popular ghg reduction strategies to accomplish approximately 90 of emissions reductions but they recommended these popular strategies in different proportions a strategy that is heavily relied on in one state s overall portfolio may play a negligible role in another state this suggests that any national policy to limit ghg emissions should encompass these key strategies but with flexibility to allow states to balance their implementation for the state s unique geographic economic and political circumstances survey results strongly support the conclusion that decisions regarding ghg reductions are influenced by the mix of actors at the table risk perception is associated with job type for all strategies and physical and or geographic factors may underlie the varying reliance on certain ghg reduction strategies across states

improving the liquidity of china s carbon market insight from the effect of carbon price transmission under the policy release abstract through a series of policies release the trading system of china s carbon market is being improved but its current liquidity is still low to improve market liquidity this paper analyzes the relation between the release of policy related to carbon market operations and the volatility of carbon price thus arranging an optimal adjustment scheme for government s policy making through the jump test and logit regression we investigate historical policies and prices of 7 emission trading scheme pilots in china to explore the impact of policy release on carbon price and then quantify the effectiveness of these policies empirical results indicate that in the short term new policies can rapidly lead to a large volatility of carbon price but it can also reduce the abnormal volatility with the spread of price information further the demand stimulus policies promote a positive volatility of carbon price in the long term the insufficient demands for carbon emissions quota raise the disappearance of market dividends caused by the policy release and lead to an excessive call back of carbon price thus increasing mid and long term risks in carbon markets additionally china s macro environment policy can stabilize carbon price and thus an effective tool for improving the liquidity of carbon markets is developing demand stimulus policies

normal markets market imperfections and energy efficiency abstract the conventional distinction between economic and engineering approaches to energy analysis obscures key methodological issues concerning the measurement of the costs and benefits of policies to promote the adoption of energy efficient technologies the engineering approach is in fact based upon firm economic foundations the principle of lifecycle cost minimization that arises directly from the theory of rational investment thus evidence that so called market barriers impede the adoption of cost effective energy efficient technologies implies the existence of market failures as defined in the context of microeconomic theory problems of imperfect information and bounded rationality on the part of consumers for example may lead real world outcomes to deviate from the dictates of efficient resource allocation a widely held contrary view that the engineering view lacks economic justification is based on the fallacy that markets are normally efficient

measuring the energy savings from home improvement investments evidence from monthly billing data an important factor driving energy policy over the past two decades has been the energy paradox the perception that consumers apply unreasonably high hurdle rates to energy saving investments we explore one possible explanation for this apparent puzzle that realized returns fall short of the returns promised by engineers and product manufacturers using a unique data set we find that the realized return to attic insulation is statistically significant but the median estimate 9 7 is almost identical to a discount rate for this investment implied by a capm analysis we conclude that the case for the energy paradox is weaker than has previously been believed

energy conservation investment do consumers discount the future correctly we argue that the apparently high discount rates attributed to investors making energy conservation investments are not irrational or the result of some market failure rather they may result from an investor recognizing that many conservation investments entail substantial sunk costs in the presence of these costs and uncertainty over future conservation savings consumers should use a higher hurdle rate for investment than if there were no uncertainty simulations suggest that the hurdle rate should be about four times greater than the standard rate an implication of our model is that tax subsidies for the purchase of conservation capital are likely to be ineffective we discuss alternative policy approaches which are more likely to increase energy efficient investment namely mandatory efficiency standards and energy taxes

analysis of renewable energy incentives in the latin america and caribbean region the feed in tariff case abstract renewable energy is becoming a priority for latin america and caribbean lac countries because of energy challenges such as demand growth high dependence on imported fossil fuels and climate change as of 2010 12 lac countries have implemented formal targets for renewable energy deployment some of the lac countries namely argentina dominican republic ecuador honduras and nicaragua are using feed in tariffs fits to promote renewables fits are long term guaranteed purchase agreements for green electricity at a price that can provide project developers a reasonable return on investment fits are increasingly popular because if designed well they can mitigate investor risk in renewables this article presents a low risk fit design and then uses this design to benchmark the existing lac region fits

on the minimax complexity of pricing in a changing environment we consider a pricing problem in an environment where the customers willingness to pay wtp distribution may change at some point over the selling horizon customers arrive sequentially and make purchase decisions based on a quoted price and their private reservation price the seller knows the wtp distribution pre and postchange but does not know the time at which this change occurs the performance of a pricing policy is measured in terms of regret the loss in revenues relative to an oracle that knows the time of change prior to the start of the selling season we derive lower bounds on the worst case regret and develop pricing strategies that achieve the order of these bounds thus establishing the complexity of the pricing problem our results shed light on the role of price experimentation and its necessity for optimal detection of changes in market response wtp our formulation allows for essentially arbitrary consumer wtp distributions and purchase request patterns

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

determinants of residential space heating expenditures in germany abstract we first examine the determinants of household expenditures on space heating and hot water supply in germany a number of socio economic characteristics of households are included along with building characteristics our analysis covers information on more than 12 000 households in germany for the years 1998 and 2003 the analysis continues by investigating whether different kinds of households are affected differently by increases in energy prices households in owner occupied properties are less affected compared to those in rented accommodation this could be because owners are more likely to have installed energy efficient heating and hot water supply systems and landlords have less of an incentive to improve the conditions of their rented accommodations an energy policy targeting especially the latter group might benefit not only households in rented accommodation but might also increase energy efficiency and reduce greenhouse gas emissions as well

understanding carbon lock in abstract this paper narrative argues that industrial economies have been locked into fossil fuel based energy systems through a process of technological and institutional co evolution driven by path dependent increasing returns to scale it is asserted that this condition termed carbon lock in creates persistent market and policy failures that can inhibit the diffusion of carbon saving technologies despite their apparent environmental and economic advantages the notion of a techno institutional complex is introduced to capture the idea that lock in occurs through combined interactions among technological systems and governing institutions while carbon lock in provides a conceptual basis for understanding macro level barriers to the diffusion of carbon saving technologies it also generates questions for standard economic modeling approaches that abstract away technological and institutional evolution in their elaboration the question of escaping carbon lock in is left for a future paper

carbon geography the political economy of congressional support for legislation intended to mitigate greenhouse gas production over the last 5 years the u s congress has voted on several pieces of legislation intended to sharply reduce the nation s greenhouse gas emissions given that climate change is a world public bad standard economic logic would predict that the united states would free ride and wait for other nations to reduce their emissions within the congress there are clear patterns to who votes in favor of mitigating greenhouse gas emissions this paper presents a political economy analysis of the determinants of pro green votes on such legislation conservatives consistently vote against such legislation controlling for a representative s ideology representatives from richer districts and districts with a lower per capita carbon dioxide footprint are more likely to vote in favor of climate change mitigation legislation representatives from districts where industrial emissions represent a larger share of greenhouse gas emissions are more likely to vote no jel q54 q58 r50

representing induced technological change in models for climate policy analysis induced technological change itc whereby the relative price effects of reducing greenhouse gas emissions stimulate innovation that mitigates the cost of abatement is both tantalizing to decision makers and challenging to represent in the computational economic and engineering models used to analyze climate change policy this overview reconciles the divergent views of technology and technological change within different types of models elucidates the theoretical underpinnings of itc introduces the reader to the techniques of their practical implementation and evaluates the implications for models results

markets for energy efficiency exploring the implications of an eu wide tradable white certificate scheme recent developments in european energy policy reveal an increasing interest in implementing the so called tradable white certificate twc schemes to improve energy efficiency based on three evaluation criteria cost effectiveness environmental effectiveness and distributional equity this paper analyses the implications of implementing a european wide twc scheme targeting the household and commercial sectors using a bottom up model quantitative results show significant cost effective potentials for improvements ca 1400 twh in cumulative energy savings by 2020 with the household sector gas and space heating representing most of the twc supply in terms of eligible sector fuel and energy service demand respectively if a single market price of negative externalities is considered a societal costeffective potential of energy savings above 30 compared to the baseline is observed in environmental terms the resulting greenhouse gas emission reductions are around 200mt co2 eq by 2010 representing nearly 60 of the eu kyoto target from the qualitative perspective several embedded ancillary benefits are identified e g employment generation improved comfort level reduced fuel poverty security of energy supply whereas an eu wide twc increases liquidity and reduces the risks ofmarket power autarky compliance strategies may be expected in order to capture co benefits nationally cross subsidies could occur due to investment recovery mechanisms and there is a risk that effects may be regressive for low income households assumptions undertaken by the modelling approach strongly indicate that high effectiveness of other policy instruments is needed for an eu wide twc scheme to be cost effective less

paralyzed by fear rigid and discrete pricing under demand uncertainty we propose a new theory of price rigidity based on firms knightian uncertainty about their competitive environment this uncertainty has two key implications first firms learn about the shape of their demand function from past observations of quantities sold this learning gives rise to kinks in the expected profit function at previously observed prices making those prices both sticky and more likely to reoccur second uncertainty about the relationship between aggregate and industry level inflation generates nominal rigidity we prove the main insights analytically and quantify the effects of our mechanism our estimated quantitative model is consistent with a wide range of micro level pricing facts that are typically challenging to match jointly it also implies significantly more persistent monetary non neutrality than in standard models allowing it to generate large real effects from nominal shocks

empirical estimates of the direct rebound effect a review beginning with william stanley jevons in 1865 a number of authors have claimed that economically justified energy efficiency improvements will increase rather than reduce energy consumption jevons paradox is extremely difficult to test empirically but could have profound implications for energy and climate policy this paper summarises and critiques the arguments and evidence that have been cited in support of jevons paradox focusing in particular on the work of len brookes and harry saunders it identifies some empirical and theoretical weaknesses in these arguments highlights the questions they raise for economic orthodoxy and points to some interesting parallels between these arguments and those used by the biophysical school of ecological economics while the evidence in favour of jevons paradox is far from conclusive it does suggest that economy wide rebound effects are larger than is conventionally assumed and that energy plays a more important role in driving productivity improvements and economic growth than is conventionally assumed 2008 elsevier ltd all rights reserved

a new unified approach to evaluate economic acceptance towards main green technologies using the meta analysis the aim of this paper is to analyze the main determinants of the economic acceptability of four green technologies gts alternative fuel vehicles energy savings in residential buildings smart meters and renewable electricity using a meta analysis on a sample of 35 selected papers which provided 245 primary data this approach allows detecting relationships across heterogeneous studies avoiding the subjectivity of qualitative surveys we implement a new two step procedure first we compute a measure of the implicit price for a kilogram of co2 avoided pco2 homogenizing the usable information for the gts considered second we conduct a meta regression using the computed pco2 values to estimate the socio economic determinants impact in general our results show a wide degree of acceptability for gts which is stronger among european citizens in particular it emerges that on average the estimated pco2 is positive for the gts considered and additional positive effects exist when respondents are confronted with an explicit reference to quantitative targets in terms of co2 abatement a clear proposal for payment timing and a specific renewable electricity mix these results indicate that information and transparency are crucial to spur gts deployment therefore to support gts market penetration public and private institutional stakeholders have to provide ad hoc information to the end users setting a clear and suitable system of prices to increase the economic value end users place on gts

technology detail in a multisector cge model transport under climate policy a set of three analytical models is used to study the imbedding of specific transport technologies within a multisector multiregion evaluation of constraints on greenhouse emissions the key parameters of a computable general equilibrium cge model are set to mimic the behavior of a model of modal splits and a market allocation markal model of household and industry transport activities in simulation mode the cge model provides key economic data to an analysis of the details of transport technology under policy restraint results focus on the penetration of new automobile technologies into the vehicle market

dynamic pricing competition with strategic customers under vertical product differentiation we consider dynamic pricing competition between two firms offering vertically differentiated products to strategic customers who are intertemporal utility maximizers we show that price skimming arises as the unique pure strategy markov perfect equilibrium in the game under a simple condition our results highlight the asymmetric effect of strategic customer behavior on quality differentiated firms even though the profit of either firm decreases as customers become more strategic the low quality firm suffers substantially more than the high quality firm furthermore we show that unilateral commitment to static pricing by either firm generally improves profits of both firms interestingly both firms enjoy higher profit lifts when the high quality firm commits rather than when the low quality firm commits this paper was accepted by yossi aviv operations management

energy consumption for space heating a discrete continuous approach energy demand for space heating is estimated using a discrete continuous choice model which focuses on the relationship between the choice of heating equipment and energy consumption the model is estimated on norwegian micro data and the two stages of the model are estimated simultaneously the capital cost and the operating cost of the heating systems are both found to have a significant impact on the choice of heating system furthermore the results show that household characteristics are important variables in residential energy models energy price elasticities and income elasticities are also estimated

the rebound effect microeconomic definitions limitations and extensions abstract the rebound effect results in part from an increased consumption of energy services following an improvement in the technical efficiency of delivering those services this increased consumption offsets the energy savings that may otherwise be achieved if the rebound effect is sufficiently large it may undermine the rationale for policy measures to encourage energy efficiency the nature and magnitude of the rebound effect is the focus of long running dispute with energy economics this paper brings together previous theoretical work to provide a rigorous definition of the rebound effect to clarify key conceptual issues and to highlight the potential consequences of various assumptions for empirical estimates of the effect the focus is on the direct rebound effect for a single energy service indirect and economy wide rebound effects are not discussed beginning with khazzoom s original definition of the rebound effect we expose the limitations of three simplifying assumptions on which this definition is based first we argue that capital costs form an important part of the total cost of providing energy services and that empirical studies that estimate rebound effects from variations in energy prices are prone to bias second we argue that energy efficiency should be treated as an endogenous variable and that empirical estimates of the rebound effect may need to apply a simultaneous equation model to capture the joint determination of key variables third we explore the implications of the opportunity costs of time in the production of energy services and highlight the consequences for energy use of improved time efficiency the influence of time costs on the rebound effect and the existence of a parallel rebound effect with respect to time each of these considerations serves to highlight the difficulties in obtaining reliable estimates of the rebound effect and the different factors that need to be controlled for we discuss the implications of these findings for econometric studies and argue that several existing studies may overestimate the magnitude of the effect

estimating the co2 abatement cost substitute price of avoiding co2 emission spae by renewable energy s feed in tariff in selected countries abstract many renewable energy policies are looking into new incentives to absorb investments by targeting abating co 2 emission and fixing energy price fluctuation feed in tariff fit is a policy for rebating the amount of generated renewable electricity to investor fit is also defined as a co 2 mitigation policy in electricity generation from renewable sources this paper presents a cost benefit survey that estimates the real produced carbon dioxide for electricity generation in selected countries this study introduces the substitute price of avoiding co 2 emission as an indicator the new indicator shows how much is paid for avoiding co 2 by each selected countries through the fit policy for renewable technologies the amount calculated for solar energy is taken as a case in this paper the result confirms that the fit policy reasonably works for solar energy in absorbing investment however the fit policy claims a large portion of liquidity compared with other approaches hence makes this mechanism inept as a co 2 mitigation policy

escaping carbon lock in this article explores the climate policy implications of the arguments made in understanding carbon lock in unruh 2000 which posited that industrial countries have become locked into fossil fuel based energy systems through path dependent processes driven by increasing returns to scale carbon lock in arises through technological organizational social and institutional co evolution culminating in what was termed as techno institutional complex tic in order to resolve the climate problem an escape from the lock in condition is required however due to the self referential nature of tic escape conditions are unlikely to be generated internally and it is argued here that exogenous forces are probably required

an empirical model of optimal dynamic product launch and exit under demand uncertainty this paper considers the decision problem of a firm that is uncertain about the demand and hence profitability of a new product we develop a model of a decision maker who sequentially learns about the true product profitability from observed product sales based on the current information the decision maker decides whether to scrap the product central to this decision problem are sequential information gathering and the option value of scrapping the product at any point in time the model predicts the optimal demand for information e g in the form of test marketing and it predicts how the launch or exit policy depends on the firm s demand uncertainty furthermore it predicts what fraction of newly developed products should be launched on average and what fraction of these products will fail i e exit the model is solved using numerical dynamic programming techniques we present an application of the model to the case of the u s ready to eat breakfast cereal industry simulations show that the value of reducing uncertainty can be large and that under higher uncertainty firms should strongly increase the fraction of all new product opportunities launched even if their point estimate of profits is negative alternative simpler decision rules are shown to lead to large profit losses compared to our method finally we find that the high observed exit rate in the u s ready to eat cereal industry is optimal and to be expected based on our model

robust monopoly pricing we consider a robust version of the classic problem of optimal monopoly pricing with incomplete information in the robust version the seller faces model uncertainty and only knows that the true demand distribution is in the neighborhood of a given model distribution we characterize the pricing policies under two distinct decision criteria with multiple priors i maximin utility and ii minimax regret the equilibrium price under either criterion is lower then in the absence of uncertainty the concern for robustness leads the seller to concede a larger information rent to all buyers with values below the optimal price without uncertainty

feed in tariff promotion and innovative measures for renewable electricity taiwan case analysis abstract taiwan located in a subtropical area is a high energy importing nation with approximately 98 of our energy supplied by imported fuels since 2000 in this regard renewable electricity systems from its richness of solar radiation and strong monsoon are thus becoming attractive due to the energy economic and environmental policies for pursuing clean electricity supply sustainable development and greenhouse gases emission mitigation in taiwan the objective of this paper was to present an analysis of profitable promotion and innovative measures for renewable electricity in taiwan because the photovoltaic pv power and wind power systems have rapidly increased the total installed capacity from 2 7 mw in 2000 to 1006 2 mw in 2013 the description in the paper was thus summarized on an analysis of renewable electricity supply since 2000 and its future goals up to 2030 and then centered on the new promotion legislation i e renewable energy development act in the measures of feed in tariff fit and tax subsidy incentives current subsidiary and innovative programs to promote the development of renewable electricity technologies including roof type pv power off shore wind power and biogas to power were also described due to its innovation promotion for renewable energy exploitation in recent years pingtung county located in the southernmost of taiwan was introduced as a case study finally some recommendations for promote renewable electricity development were addressed in the paper

bayesian dynamic pricing policies learning and earning under a binary prior distribution motivated by applications in financial services we consider a seller who offers prices sequentially to a stream of potential customers observing either success or failure in each sales attempt the parameters of the underlying demand model are initially unknown so each price decision involves a trade off between learning and earning attention is restricted to the simplest kind of model uncertainty where one of two demand models is known to apply and we focus initially on performance of the myopic bayesian policy mbp variants of which are commonly used in practice because learning is passive under the mbp that is learning only takes place as a by product of actions that have a different purpose it can lead to incomplete learning and poor profit performance however under one additional assumption a constrained variant of the myopic policy is shown to have the following strong theoretical virtue the expected performance gap relative to a clairvoyant who knows the underlying demand model is bounded by a constant as the number of sales attempts becomes large this paper was accepted by gerard p cachon stochastic models and simulation

solar energy markets economics and policies abstract solar energy has experienced phenomenal growth in recent years due to both technological improvements resulting in cost reductions and government policies supportive of renewable energy development and utilization this study analyzes the technical economic and policy aspects of solar energy development and deployment while the cost of solar energy has declined rapidly in the recent past it still remains much higher than the cost of conventional energy technologies like other renewable energy technologies solar energy benefits from fiscal and regulatory incentives including tax credits and exemptions feed in tariff preferential interest rates renewable portfolio standards and voluntary green power programs in many countries the emerging carbon credit markets are expected to provide additional incentives to solar energy deployment however the scale of incentives provided by the existing carbon market instruments such as the clean development mechanism of the kyoto protocol is limited despite the huge technical potential the development and large scale deployment of solar energy technologies world wide still has to overcome a number of technical financial regulatory and institutional barriers the continuation of policy supports might be necessary for several decades to maintain and enhance the growth of solar energy in both developed and developing countries

price elasticities policy measures and actual developments in household energy consumption a bottom up analysis for the netherlands in the netherlands it seems likely that the large number of new policy measures in the past decade has influenced the response of households to changing prices to investigate this issue the energy trends in the period 1990 2000 have been simulated with a bottom up model applied earlier for scenario studies and extensive data from surveys for a number of alternative price cases the elasticity values found are explained using the bottom up changes in energy trends one finding is that the specific set of saving options defines for a great part the price response the price effect has been analysed too in combination with the policy measures standards subsidies and energy taxes the simulation results indicate that the elasticity value could be 30 40 higher without these measures

research note the role of production lead time and demand uncertainty in marketing durable goods firms often have to make their production decisions under conditions of demand uncertainty this is especially true for product categories such as automobiles and technology goods where the lead time needed for manufacturing forces firms to make production decisions well in advance of the selling season once the firm has produced the goods the available production volume affects the firm s subsequent marketing decisions in this paper we study the relationship between the firm s production and marketing decisions for a durable goods manufacturer we develop a dynamic model of a durable product market in which the demand functions are developed from a micromodeling of consumer utility functions and an equilibrium analysis of consumer strategies after taking into account the demand uncertainty as well as the potential for cannibalization of future sales the manufacturer makes its production and sales decisions we find that the firm s optimal inventory level is u shaped in the durability of the product and that the firm suffers a larger loss due to uncertainty when it is leases rather than sells its products furthermore unlike the case for nondurables for durable goods we find that the effect of uncertainty persists even after the uncertainty has been resolved

review of co2 price in europe using feed in tariff rates abstract the price of carbon emitted by thermal plants has always been a favorite topic of researchers and policy makers a substitute price for co2 is calculated in this study based on real time payments through government tariffs these payments aim to mitigate co2 emission caused by unregulated electricity generation the total co2 produced by the thermal plants of 10 european countries is shown in this study the government s payment for each technology is utilized to clear the final co2 abatement cost the substitute price of avoiding co2 emission spac for each technology and country is estimated spac is basically the price that each country pays to avoid producing co2 the conducted survey shows that the spac of the 10 european countries ranges from 63 to 2951 euros depending on the type of technology used and the country s policy results confirm a competitive payment by governments only for german and uk hydro and uk wind technologies comparison of the countries payments for renewable energies and co2 market price shows that governments incurred an inefficient payment of liquidity as a carbon mitigation policy

improving behavioral realism in hybrid energy economy models using discrete choice studies of personal transportation decisions hybrid energy economy models combine top down and bottom up approaches to explore behaviorally realistic responses to technology focused policies this research uses empirically derived discrete choice models to inform key behavioral parameters in cims a hybrid model the discrete choice models are estimated for vehicle and commuting decisions from a survey of 1150 canadians with the choice models integrated into cims we simulate carbon taxes gasoline vehicle disincentives and single occupancy vehicle disincentives to show how different policy levers can motivate technological change we also use the empirical basis for the choice models to portray uncertainty in technological change costs and emissions

demand for space heating in apartment blocks measuring effects of policy measures aiming at reducing energy consumption abstract panel data covering the period 1984 1995 on energy consumption and technical characteristics of apartment blocks from denmark are analysed in order to measure effects of policy measures aimed at reducing the consumption of energy for space heating results indicate that building regulations have been important in reducing energy consumption in new buildings furthermore conditional price responses are estimated to be relatively small or non existent indicating small short run effects of fuel taxes on energy consumption in apartment blocks finally a consultancy scheme implemented with the purpose of improving knowledge about the potential for energy savings is found to have had moderate effects

willingness to pay for energy saving measures in residential buildings this paper uses a choice experiment to evaluate the consumers willingness to pay for energy saving measures in switzerland s residential buildings these measures include air renewal ventilation systems and insulation of windows and facades two groups of respondents consisting respectively of 163 apartment tenants and 142 house owners were asked to choose between their housing status quo and each one of the several hypothetical situations with different attributes and prices the estimation method is based on a fixed effects logit model the results suggest that the benefits of the energy saving attributes are significantly valued by the consumers these benefits include both individual energy savings and environmental benefits as well as comfort benefits namely thermal comfort air quality and noise protection

pricing without priors we consider the problem of pricing a single object when the seller has only minimal information about the true valuation of the buyer specifically the seller only knows the support of the possible valuations and has no further distributional information the seller is solving this choice problem under uncertainty by minimizing her regret the pricing policy hedges against uncertainty by randomizing over a range of prices the support of the pricing policy is bounded away from zero buyers with low valuations cannot generate substantial regret and are priced out of the market we generalize the pricing policy without priors to encompass many buyers and many qualities

cost effectiveness of renewable electricity policies we analyze policies to promote renewable sources of electricity a portfolio standard rps raises electricity prices and primarily reduces gas fired generation a knee of the cost curve exists between 15 and 20 goals for 2020 in our central case and higher natural gas prices lower the cost of greater reliance on renewables a renewable energy production tax credit lowers electricity price at the expense of taxpayers which limits its effectiveness in reducing carbon emissions and it is less cost effective at increasing renewables than a portfolio standard neither policy is as cost effective as a cap and trade policy for achieving carbon emission reductions

identifying the influencing factors of the sustainable energy transitions in china abstract this paper aims to explore the influencing factors that facilitate sustainable energy transitions in china for this purpose this paper assumes that the impact of the energy transition is from three main factors energy technology innovations the energy market and socio technical regimes which can be subdivided into 11 subfactors to empirically test the proposed hypotheses questionnaire survey data collected from chinese energy enterprises are statistically analysed by structural equation models sems the results show that first energy technology innovations the energy market and socio technical regimes are the major forces in the transition to sustainable energy in china second the effects of the three main factors on the energy transition vary according to 11 different subfactors some subfactors i e innovation strategy innovation factors innovation policy innovation network and new energy competitiveness have very important positive effects on the energy transition some subfactors i e competitiveness of the coal industry customer habits and coal based infrastructure have negative effects on the transition to sustainable energy in china third the influence of the subfactors on the transition performance is diminished as a result of the joint intermediate effects of transition behaviours

the devil is in the details household electricity saving behavior and the role of information abstract the purpose of this paper is to analyze swedish households willingness to increase their daily efforts to save electricity the analysis builds on a broad theoretical framework which embraces both economic and norm based motivations in explaining household behavior the paper pays particular attention to the role of information about the availability of different behavioral changes that can be undertaken at the household level the empirical results are based on a postal survey that was sent out to 1200 swedish households and the econometric analysis is carried out within a so called ordered probit framework our results indicate that costs environmental attitudes and social interactions are all important determinants of electricity saving activities within swedish households we tested the hypothesis that information about available savings measures that is presented in a more concrete and specific way is more likely to affect stated behavior than is more general information and the data collected support this notion the paper ends by discussing some implications of these results for the design of future informative policy measures in the energy efficiency field

the energy efficiency gap what does it mean abstract as renewed attention has been given by policy makers to energy conservation issues it has frequently been asserted that an energy efficiency gap exists between actual and optimal energy use the critical questions is how to define the optimal level of energy efficiency this paper seeks to disentangle some confusing strands of argument that are frequently brought to bear on this question by identifying the major conceptual issues that determine the set of feasible answers we identify five separate and distinct notions of optimality the economists economic potential the technologists economic potential hypothetical potential the narrow social optimum and the true social optimum each of these has associated with it a corresponding definition of the energy efficiency gap our analysis demonstrates that necessary preconditions for identifying the right measure of the energy efficiency gap include understanding and disentangling market failure and non market failure explanations for the gradual diffusion of energy efficient technologies

the neighbor effect simulating dynamics in consumer preferences for new vehicle technologies abstract understanding consumer behaviour is essential in designing policies that efficiently increase the uptake of clean technologies over the long run expert opinion or qualitative market analyses have tended to be the sources of this information however greater scrutiny on governments increasingly demands the use of reliable and credible evidence to support policy decisions while discrete choice research and modeling techniques have been applied to estimate consumer preferences for technologies these methods often assume static preferences this study builds on the application of discrete choice research and modeling to capture dynamics in consumer preferences we estimate canadians preferences for new vehicle technologies under different market assumptions using responses from two national surveys focused on hybrid gas electric vehicles and hydrogen fuel cell vehicles the results support the relevance of a range of vehicle attributes beyond the purchase price in shaping consumer preferences towards clean vehicle technologies they also corroborate our hypothesis that the degree of market penetration of clean vehicle technologies is an influence on people s preferences the neighbor effect finally our results provide behavioural parameters for the energy economy model cims which we use here to show the importance of including consumer preference dynamics when setting policies to encourage the uptake of clean technologies

renewable energy in five south east asian countries review on electricity consumption and economic growth abstract the present study is an archival statistical overview of the possibility of renewable energy production in five south east asian countries and their economic capacity the five south east asian countries under review are the philippines thailand malaysia indonesia and singapore all of which have a combined population of 420 million this number is a little less than the population of 25 european countries these five countries have created a large market in the world and have enjoyed significant economic growth in recent years tropical climate in the region facilitates the potential for using clean and green energies this article clarifies the effective relation between energy capacities and economic indices in these countries and analyzes the results using a survey the paper shows that despite the shortage of energy in these countries brought by their fast economic growth the share of renewable energy in energy production is constantly declining and more reliance is still placed on fossil fuels for energy production

econometric modeling of co2 emissions abatement comparing alternative approaches abstract as investments and policies that promote renewable energy re projects in electricity systems are most often grounded on the goal of reducing emissions of greenhouse gases and actual investment and policy decisions are shaped by the estimates of the accrued emissions savings it is crucial that these estimates are as accurate as possible in this paper we compare different econometric models that estimate the amount of carbon abated due to re in terms of their results and their inherent methodological benefits and drawbacks specifically we use the british french and spanish grids as case studies for the application of a selection of econometric models and compare the resulting co2 abatement estimates we find that across the three markets estimates can vary substantially across the different models this can lead to an over or underestimation of the emissions abated by re overall our results highlight the need for choosing econometric specifications that lead to results that are congruent with the operational framework of the examined power systems

robust new product pricing we study the pricing decision for a monopolist launching a new innovation at the time of launch we assume that the monopolist has incomplete information about the true demand curve despite the lack of objective information the firm must set a retail price to maximize total profits to model this environment we develop a novel two period non bayesian framework where the monopolist sets the price in each period based only on a nonparametric set of all feasible demand curves optimal prices are dynamic as prices in any period allow the firm to learn about demand and improve future pricing decisions our main results show that the direction of dynamic introductory prices versus static prices depends on the type of heterogeneity in the market we find that 1 when consumers have homogeneous preferences introductory dynamic price is higher than the static price 2 when consumers have heterogeneous preferences and the monopolist has no ex ante information the introductory dynamic price is the same as

the sufficiency strategy would rich world frugality lower environmental impact abstract one alleged weapon against unsustainable environmental impact is for the wealthy to consume less this sufficiency strategy is to complement the efficiency strategy of lowering ratios of resource inputs to economic outputs the former would reduce the affluence factor in i pat the latter the technology factor that the latter strategy suffers from a consumption rebound is widely recognized this paper identifies a similar rebound when the affluence factor is autonomously lowered the lower initial demand lowers prices which in turn stimulates new demand by others the strategy moreover addresses only the rich raising questions of its theoretical maximum efficacy its proponents usually conflate frugality with the north south dichotomy and intra generational with inter generational equity moreover there are difficulties with the supporting arguments that frugality is good for one s own sake as well as for the environment and that the rich should lead the way to living more lightly personal behaviour change is furthermore not a substitute for international political efforts finally since all changes in right side factors of the i pat equation change other right side factors such indirect attacks on impact should be abandoned in favor of supply and emissions quotas