household electricity demand revisited respond to price changes this paper develops a model for evaluating the effects of alternative tariff designs on electricity use the model concurrently addresses several interrelated difficulties posed by nonlinear pricing heterogeneity in consumer price sensitivity and consumption aggregation over appliances and time we estimate the model using extensive data for a representative sample of 1300 california households the results imply a strikingly skewed distribution of household electricity price elasticities in the population with a small fraction of households accounting for most aggregate demand response we then estimate the aggregate and distributional consequences of recent tariff structure changes recent efforts to restructure electricity markets have renewed interest in electricity demand and pricing this interest reflects a broad desire to improve the efficiency of electricity markets and policy makers concerns over the impact of price changes on consumers how new pricing mechanisms would affect households consumption and expenditures is a matter of considerable uncertainty however this uncertainty has provoked controversy and debate in the regulatory policy arena hampering market reforms using econometric methods to assess the effects of electricity price changes presents several challenges these include the nonlinear structure of tariff schedules aggregation of metered consumption behaviour over time and appliances and the interdependence of energy use with longer term household decisions over appliance ownership and dwelling characteristics the first two issues introduce complex simultaneity problems between marginal prices and consumption the third issue imposes high data requirements information on household specific appliance holdings and residence features and creates heterogeneity in consumption responses related to the characteristics of these durable goods when the researcher s objective is to develop a model for simulating the effects of prospective tariff changes ignoring these issues will provide an incomplete assessment of demand responses and potentially misleading predictions of a new tariff s consumption and revenue consequences in this paper we estimate a model of household electricity demand that can be used

electricity demand response to price changes the portuguese case taking into account income differences abstract in this paper we study the behavior of electricity use in portuguese households using microdata from five independent surveys our sample covers the period from 1989 to 2010 which was characterized by major changes in the country we adopt the pseudo panel methodology creating 350 cohorts based on the size of the household the type of location rural or urban the region and the income quintile our results show relatively high medium long run own price elasticities indicating that an increase in the electricity price due to for instance policy intervention would in fact decrease electricity use cross price elasticities indicate that electricity and gas are substitutes additionally the income quintiles analysis shows significant differences in the elasticities depending on the income group hence political interventions in the electricity sector may have important redistributive effects

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

renewable electricity policies heterogeneity and cost effectiveness abstract renewable electricity policies promote investment in renewable electricity generators and have become increasingly common around the world because of intermittency and the composition of other generators in the power system the value of certain renewable particularly wind and solar varies across locations and technologies this paper investigates the implications of this heterogeneity for the cost effectiveness of renewable electricity policies a simple model of the power system shows that renewable electricity policies cause different investment mixes policies also differ according to their effect on electricity prices and both factors cause the cost effectiveness to vary across policies we use a detailed long run planning model that accounts for intermittency on an hourly basis to compare the cost effectiveness for a range of policies and alternative parameter assumptions the differences in cost effectiveness are economically significant where broader policies such as an emissions price outperform renewable electricity policies

from frugal jane to wasteful john a quantile regression analysis of swiss households electricity demand abstract in this article we investigate the heterogeneity in the responsiveness of swiss household electricity demand to changes in prices and income we focus on segments of consumers with different intensities of electricity consumption by using a panel quantile regression approach this estimation strategy is applied to a rich micro level longitudinal data set of 3880 observations from more than 1400 households matched with a unique price data set extracted from the swiss electricity regulator s online sources while the findings show an inelastic electricity demand across all groups an interesting pattern of variation emerges between lower and upper quantiles of electricity demand respectively frugal and intensive users results show that households in the first conditional quartile and at the median react significantly to changes in prices while those at the lowest quantile and upper quantiles exhibit insignificant price elasticities the main policy implications of this work concern the design of price based measures for reducing electricity consumption in the residential sector and the possibility of accounting for individual responses in tailoring policies for specific consumer segments

a new look at residential electricity demand using household expenditure data the recent push for a federal energy policy that could substantially change electricity prices in the u s highlights the need to obtain accurate residential electricity demand estimates many electricity demand estimates have been obtained based on the assumption that consumers optimize with respect to known marginal prices but increasing empirical evidence suggests that consumers are more likely to respond to average prices under this assumption this paper develops a new strategy based on gmm to estimate household electricity demand our approach allows a national level demand estimation from publicly available expenditure data and utility level consumption data complementing studies that use individual billing data which are richer yet often proprietary we estimate the price elasticity near 1 which is at the upper end in magnitude among the estimates from previous studies we apply our elasticity estimates in a u s climate policy simulation to determine how these elasticity estimates alter consumption and price outcomes compared to the more conservative elasticity estimates commonly used in policy analysis

residential consumption of gas and electricity in the u s the role of prices and income abstract we study the residential demand for electricity and gas working with nationwide household level data that cover recent years namely 1997 2007 our dataset is a mixed panel multi year cross sections of dwellings households in the 50 largest metropolitan areas in the united states as of 2008 we estimate static and dynamic models of electricity and gas demand we find strong household response to energy prices both in the short and long term from the static models we get estimates of the own price elasticity of electricity demand in the 0 860 to 0 667 range while the own price elasticity of gas demand is 0 693 to 0 566 these results are robust to a variety of checks contrary to earlier literature metcalf and hassett 1999 reiss and white 2005 we find no evidence of significantly different elasticities across households with electric and gas heat the price elasticity of electricity demand declines with income but the magnitude of this effect is small these results are in sharp contrast to much of the literature on residential energy consumption in the united states and with the figures used in current government agency practice our results suggest that there might be greater potential for policies which affect energy price than may have been previously appreciated

on the demand for natural gas in urban china abstract using a set of unbalanced panel data for chinese s cities during the period of 2006 2009 this study aims to estimate the price and income elasticities of residential demand for natural gas natural gas consumption is specified as a function of its own price substitute prices urban wages and other supply climate and housing characteristics using a feasible generalised least squares fgls technique which controls for panel heteroskedasticity and panel correlation we find that natural gas consumption is price elastic and income inelastic when other covariates e g the supply of natural gas pipeline and heating degree days are controlled in addition there are large variations in demand behaviours across china s regions there is a substantial income effect on demand for natural gas in southern china whereas the northern regions are found to have a higher price effect in addition the substitution effect between coal and natural gas is significant in north china but is not significant in south china these findings have several important policy implications for natural gas pricing and supply cost analysis in the context of china

dynamic demand for residential electricity in taiwan under seasonality and increasing block pricing abstract this paper studies the dynamic demand for residential electricity in taiwan employing a monthly panel data set composed of 19 counties and spanning the period from 2007 01 to 2013 12 the partial adjustment model used addresses the endogeneity of the electricity price that results from the increasing block pricing the estimated results show that there is a significant seasonal difference in the demand for electricity between the summer and non summer periods both the adjustment speed and own price elasticity during the summer months are found to be lower than those in the non summer months due to the hot weather in summer it is easier for consumers to adjust their electricity consumption in response to the changes in electricity pricing during the non summer time the estimated inelastic short run and long run income effects show that electricity is a necessity for consumers moreover the controversial electricity conservation policies are found to be ineffective measures for reducing electricity consumption in taiwan

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

willingness to pay for renewable energy primary and discretionary choice of british households for micro generation technologies this paper documents the policy context of renewable energy production in the european union the research adopts a choice experiment approach to investigate households wtp for these renewable energy technologies in the uk the micro generation technologies comprise solar photovoltaic micro wind solar thermal heat pumps and biomass boilers and pellet stoves the study compares the results from conditional and mixed logit models which estimate the distribution of utility coefficients and then derives wtp values as a ratio of the attribute coefficient to the price coefficient with a model in which the wtp distribution is estimated directly from utility in the money space the results suggest that whilst renewable energy adoption is significantly valued by households this value is not sufficiently large for the vast majority of households to cover the higher capital costs of micro generation energy technologies

the demand for residential industrial and total electricity 1973 1998 this paper estimates residential industrial and total electricity demand by a partial adjustment approach and by a simultaneous equation approach simultaneous equation models are more appropriate since they provide negative price elasticity estimates for the residential industrial and total electricity samples flow adjustment models yield positive price elasticity estimates in some cases suggesting they fail to identify proper supply considerations that may be influencing prices the simultaneous equation approach suggests that residential customers are more price sensitive than industrial customers weather seems to have the greatest impact on the residential sector and cold weather appears to affect demand more than hot weather

estimating direct and indirect rebound effects for u s households with input output analysis part 2 simulation abstract this is the second part of a two part paper that integrates economic and industrial ecology methods to estimate the indirect rebound effect from residential energy efficiency investments we apply the model developed in part one to simulate the indirect rebound given an estimate of the direct rebound using a 2002 environmentally extended input output model and the 2004 consumer expenditure survey in 2002 for the u s we find an indirect rebound of 5 15 in primary energy and co 2 e emissions assuming a 10 direct rebound depending on the fuel saved with efficiency and household income the indirect rebound can be as high as 30 40 in no x or so 2 emissions for efficiency in natural gas services the substitution effect modeled in part one is small in most cases and we discuss appropriate applications for proportional or income elasticity spending assumptions large indirect rebound effects occur as the u s electric grid becomes less carbon intensive in households with large transportation demands or as energy prices increase even in extreme cases there is limited evidence for backfire or a rebound effect greater than 100 enacting pollution taxes or auctioned permits that internalize the externalities of energy use would ensure that rebound effects unambiguously increase consumers welfare

price sensitivity of residential energy consumption in norway abstract the main aim of this paper is to test the stability of the results of a model which focus on the relationship between the choice of heating equipment and the residential energy consumption the results for the income and energy price variables are of special interest stability in the time dimension is tested by applying the model on micro data for each of the years 1993 1995 the parameter estimates are stable within a 95 confidence interval however the estimated impact of the energy price variable on energy consumption was considerably weaker in 1994 than in 1993 and 1995 the results for two different income groups in the pooled data set are also subject to stability testing the energy price sensitivity in residential energy consumption is found to be higher for high income households than for low income households

a discrete continuous choice approach to residential water demand under block rate pricing reply waldman is quite correct in noting that the microeconomic theory of block rate pricing in hewitt and hanemann hh 1995 is given for the general case of a k block rate structure whereas the econometric theory is largely confined to the case of exactly two blocks the extension in waldman to the more general case of k blocks is correct although the extension itself could be even more general if it addressed the nonnegativity of demand as is demonstrated below that no apparent attention was paid to the nonnegativity of demand in hh may be attributed to the fact that the need to do so was negated by a fortuitous assumption in the earlier work although that assumption that the errors are multiplicative and lognormally distributed was only maintained and not tested in hh i now estimate two models with the more common assumptions of linear demand and additive and normally distributed errors both with and without a modification for

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

does environmental concern change the tragedy of the commons factors affecting energy saving behaviors and electricity usage electricity consumption produces private goods such as heat for homes but fossil fuel consumption impacts the public goods of clean air and water while self interests can increase usage social interests such as global climate change can impact an individual s attitude toward energy consumption this paper examines the tragedy of the commons using household data and compares the impact of self and social interests in predicting electricity consumption using both stated and observed behavioral data the results show that self interests have a greater impact on energy saving behaviors and electricity use we extend the analysis to control for an individual s environmental concern and perceived behavioral impact finding similar results and supporting the notion that the tragedy of the commons occurs regardless of a person s perception or environmental concern these findings may explain why pro environmental attitudes do not necessarily lead to pro environmental behaviors and it contributes to our understanding of the motivating factors for energy savings and electricity use by examining both stated and observed behaviors policies aimed at electricity reduction may have a greater impact if they focus on private interests such as pricing rebates subsidies and taxes rather than social interests alone

is energy efficiency capitalized into home prices evidence from three u s cities abstract we test for evidence that energy efficiency features are capitalized into home prices in three u s metropolitan areas using hedonic regressions and multiple matching procedures we find that energy star certification is associated with higher sales prices in two of the markets the research triangle region of north carolina and portland oregon we find that local green certifications in portland and in austin texas are also associated with higher prices and that the estimated price impacts are larger than those from energy star matching on observables proves to be important in some cases reducing the estimated impacts compared with models without matching we calculate the implied energy savings from the estimated premiums and find that in the research triangle market the energy star premiums approximately equal the savings that program is designed to achieve but in portland the premiums are slightly greater than the program s savings due to low energy costs in the region

estimation of short run and long run elasticities of energy demand from panel data using shrinkage estimators this article discusses the problem of obtaining short run and long run elasticities of energy demand for each of 49 states in the united states using data for 21 years estimation using the time series data by each state gave several wrong signs for the coefficients estimation using pooled data was not valid because the hypothesis of homogeneity of the coefficients was rejected shrinkage estimators gave more reasonable results the article presents in a unified framework the classical empirical bayes and bayes approaches for deriving these estimators

an analysis of the welfare and distributive implications of factors influencing household electricity consumption abstract the deep economic crisis and the sharp rise in electricity prices have reduced electricity demand by spanish households this paper aims to analyse the responsiveness of household electricity demand and the welfare effects related to both factors in the 2006 2012 period by applying a demand model estimated with the quantile regression method the results show that the electricity consumption of medium high income households is particularly responsive to price increases whereas that of medium low income households is more responsive to changes in income the retail electricity price increases and the economic crisis have led to lower and steeper u shape price elasticities of demand and higher and steeper n shape income elasticities of demand the joint impact of those two factors on the welfare of lower income households is higher in relative terms i e as a share of household income than for other income groups these results suggest that the economic crisis and increases in retail electricity prices have had detrimental welfare effects especially on the lower income segment of the population they should be considered when financing climate and energy policies through the electricity bill and provide a rationale to take such support which pushes the retail electricity price upwards out of the electricity bill

money income and prices in the united kingdom 1870 1913 this paper examines certain aspects of the operation of the gold standard and its effects on the united kingdom in the period before world war i reduced form tests and estimates of output and money demand equations are presented the major conclusions are 1 prices and interest rates in the united kingdom can be represented as being determined independently of the money stock and output in the united kingdom and 2 evidence concerning lucas s version of the natural rate hypothesis indicates various inadequacies

response of residential electricity demand to price the effect of measurement error abstract in this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 us states from 1995 to 2007 earlier literature has examined residential energy consumption at the state level using annual or monthly data focusing on the variation in price elasticities of demand across states or regions but has failed to recognize or address two major issues the first is that when fitting dynamic panel models the lagged consumption term in the right hand side of the demand equation is endogenous this has resulted in potentially inconsistent estimates of the long run price elasticity of demand the second is that energy price is likely mismeasured to address these issues we estimate a dynamic partial adjustment model using the kiviet corrected least square dummy variables lsdv 1995 and the blundell bond 1998 estimators we find that the long term elasticities produced by the blundell bond system gmm methods are largest and that from the bias corrected lsdv are greater than that from the conventional lsdv from an energy policy point of view the results obtained using the blundell bond estimator where we instrument for price imply that a carbon tax or other price based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants

price and income elasticities of residential and industrial electricity demand in the european union this study examines the short and long run price and income elasticities of residential and industrial electricity demand in the european union between 1996 and 2016 instrumental variable models using the between estimator as well as dynamic panel models are employed to present robust estimates and to assess the impact of different methodologies on the reported elasticities the long run price elasticity of residential electricity consumption is estimated between 0 53 and 0 56 these elasticities are more inelastic than that of industrial electricity use which is reported between 0 75 and 1 01 the choice of different econometric methodologies has only moderate impact on the estimates while long run residential income elasticity estimates are moderately inelastic and estimated around 0 61 industrial electricity use tends to be closely tied to income with elasticities between 0 76 and 1 08 electricity demand in all sectors is highly price and income inelastic in the short run additionally population density temperatures and policy measures also influence sectoral electricity use the above estimates can aid the design of european energy and environmental policy

the grey paradox how fossil fuel owners can benefit from carbon taxation abstract this paper considers the distributional impact of optimal carbon taxation on fossil fuel owners a carbon emitting exhaustible resource competes with a dirtier abundant resource and a clean backstop a time dependent carbon tax is set to optimally use these resources under a cap constraint over co 2 atmospheric concentration as the cap is tightened the dirtier resource becomes less competitive compared to the exhaustible resource the competition effect but the timing and duration of extraction of the exhaustible resource is modified the timing effect we provide analytical expressions of these effects and determine conditions over size of reserves pollution contents extraction costs and demand elasticity such that the exhaustible resource owners profits increase as the ceiling is tightened calibrations for the transport and power sectors suggest that the profits of conventional oil and natural gas owners increase compared to a baseline without regulation for plausible carbon ceiling values

analysing households responsiveness towards socio economic determinants of residential electricity consumption in singapore abstract the research of household electricity use is still relatively new for singapore where apart from some government surveys and sparingly available papers not much has been done to understand the underlying socio economic determinants that affect residents energy demand here we seek to quantify price and income elasticities as well as provide reasonable justification for price asymmetry in singapore using a panel approach across dwelling types and geographical areas we find that households do not react much to prices and that price elasticities may decrease as income rises there is also some evidence of price asymmetry with surprising results putting responsiveness towards price decreases larger than price increases this points towards similar behavioural patterns with the rebound effect for household energy efficiency if found present in future studies our findings suggest that there will only be positive responses towards dynamic pricing and higher churn rates if more transparent information is provided on related cost savings when households are exposed to retail choice in the electricity market after full retail competition is introduced in 2018 in addition a large role will have to come from cultivating the young to engage in sustainable practices to achieve energy efficiency targets

autonomous efficiency improvement or income elasticity of energy demand does it matter observations of historical energy consumption energy prices and income growth in industrial economies exhibit a trend in improving energy efficiency even when prices are constant or falling two alternative explanations of this phenomenon are a productivity change that uses less energy and a structural change in the economy in response to rising income it is not possible to distinguish among these from aggregate data and economic energy models for forecasting emissions simulate one as an exogenous time trend or the other as energy demand elasticity with respect to income or both processes for projecting energy demand into the future in this paper we ask whether and how it matters which process one uses for projecting energy demand and carbon emissions we compare two versions of the mit emissions prediction and policy analysis eppa model one using a conventional efficiency time trend approach and the other using an income elasticity approach we demonstrate that while these two versions yield equivalent projections in the near term that they diverge in two important ways long run projections and under uncertainty in future productivity growth we suggest that an income dependent approach may be preferable to the exogenous approach

the importance of sectoral and aggregate shocks in business cycles the importance of sectoral and aggregate shocks in business cycles the theoretical literature on business cycles proposes numerous causes for their occurrence this paper attempts to measure the relative importance of aggregate whether real or nominal and sectoral factors in generating real economic fluctuations as well as to identify economic variables that are correlated with the various factors empirical results indicate that both aggregate and industry level factors are statistically significant in explaining variations in output with the aggregate factor being the most important some evidence is presented that links the aggregate factor with monetary variables i introduction prior to the keynesian revolution a great deal of theoretical and empirical research was conducted on the business cycle 1 with the acceptance of keynesian ideas the emphasis of macroeconomic research shifted from the study of business cycles to the study of macroeconomic policies required to reduce economic fluctuations this research program continued until the 1970s when oil price increases and the generally poor predictive performance of keynesian models caused many macroeconomists to question this research program as a result some economists such as robert lucas edward prescott and thomas sargent began to employ stochastic general equilibrium models to explain the main characteristics of the business cycle movements in output or real economic activity arise from the interaction of economic shocks and internal mechanisms which propagate their effects in this general framework which is based on the work of frisch 1933 and slutsky 1937 unanticipated disturbances or shocks are spread through the propagation mechanism resulting in serially correlated fluctuations in output while most theories of economic fluctuations can be fitted into this general framework there are disagreements over the form of the propagation mechanism and the source of the disturbances some models stress the role of aggregate demand shocks while other models such as the real business cycle models focus on real technological shocks such technological shocks may be sector specific and thus represent a set of disaggregate disturbances that cannot be viewed in the manner of aggregate shocks there is little agreement as to the main sources of disturbances knowledge of the relative importance of sector specific and aggregate shocks would be a significant development in theoretical work on business cycles this paper attempts to determine the relative importance of aggregate and disaggregate shocks in generating macroeconomic fluctuations it extends norrbin and schlagenhauf 1988 in a number of important ways the relative contribution of aggregate and sectoral shocks in generating real economic fluctuations is measured using disaggregated industrial production data which we believe is a better measure of real economic activity in addition we employ a more detailed disaggregation of manufacturing and mining industries covering a longer time period the robustness of the results is more carefully identified finally the methodology used to determine the relative importance of the shocks is substantially different in this paper 2 ii a time series model of disaggregate output the work of frisch 1933 and slutsky 1937 suggests that movements in output can be decomposed into an impulse effect and a propagation effect in this section we present a multivariate time series model of output for the united states this model is in the tradition of frisch s and slutsky s work and is sufficiently general to encompass most competing linear business cycle theories the model is developed at a disaggregate industry level allowing a propagation of output changes between industries in addition output fluctuations can arise from national industry group specific or idiosyncratic factors

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

china s natural gas consumption peak and factors analysis a regional perspective abstract china s natural gas consumption usually accounts for a small proportion of total energy consumption but it has increased rapidly in recent years china has a vast territory and the level of economic development varies significantly across regions in this paper a panel unit root and heterogeneous panel cointegration methods are applied to investigate the natural gas consumption of 30 provinces in mainland china the influencing factors of natural gas consumption are also investigated from a long term point of view china s per capita natural gas consumption seems to fit the energy kuznets curve which implies that the current rapid growth rate of natural gas consumption would not be sustained in the long term there is a peak at 200 450 cubic meters which is about 2 4 times the current consumption per capita of china and about 7 16 of russia the specific peak consumption level and peak year depend on the speed of economic development and the pace of pipeline network development in summary gas population rate plays a more important role in gas consumption in the long run and the impact of gdp weakens the potential of gas consumption of the different regions differs greatly

unobservables in consumer choice residential energy and the demand for comfort a model of consumption of residential energy in dwellings is developed distinguishing between attributes of housing that provide direct benefits to consumers and attributes that serve as inputs in the production of final goods for example the thermal comfort of dwellings empirical estimates are made of the mode based upon the annual housing survey and the results are used to calculate the effects of changes in energy prices on the consumption of housing residential energy and other goods the analysis suggests that the adjustment process within the housing market permits a great deal of substitution in response to energy price changes copyright 1989 by mit press

determinants of residential space heating expenditures in great britain in great britain several policy measures have been implemented in order to increase energy efficiency and reduce carbon emissions in the domestic sector this could for example be achieved by improving space heating efficiency and thus decreasing heating expenditure however in order to efficiently design and implement such policy measures a better understanding of the determinants affecting heating expenditure is needed in this paper we examine the following determinants socio economic factors building characteristics heating technologies and weather conditions in contrast to most other studies we use panel data to investigate household demand for heating in great britain our data sample is the result of an annual set of interviews with more than 5000 households starting in 1991 and ending in 2005 the sample represents a total of 64 000 observations over the fifteen year period our aim is to derive price and income elasticities both for britain as a whole and for different types of household our results suggest that differences exist between owner occupied and renter households these households react differently to changes in income and prices our results also imply that a number of socio economic criteria have a significant influence on heating expenditure independently of the fuel used for heating understanding the impacts of different factors on heating expenditure and impact differences between types of household is helpful in designing target oriented policy measures

towards understanding the role of price in residential electricity choices evidence from a natural experiment abstract we examine a choice setting in which residential electricity consumers may respond to non financial incentives in addition to prices using data from a natural field experiment that exposed some households to a change in their electricity rates we find that households reduced electricity usage in response to a contemporaneous decrease in electricity prices this provides clear evidence that other factors potentially encompassing non monetary and dynamic considerations can influence consumer choice and even dominate the static price response in some cases a comprehensive understanding of household behavior in energy markets is essential for the effective implementation of market based energy and environmental policies the documentation of our result and others like it is a necessary step in achieving such an understanding

policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents abstract as a demand response plan the step tariff policy for electricity has been fully implemented for several years in china however it is not clear whether the step tariff policy for electricity is effective therefore we analysed and compared the effectiveness of step tariff policy from two aspects step tariff and policy cognition specifically combining macro scale statistical data and microscopic research data we constructed a regression discontinuity design and binary response model first we tested the correction effect of the step tariff to residential electricity consumption behaviour further combined with cognitive behavioural theory we analysed the role of policy cognition in the occurrence of electricity saving behaviour finally based on the cognitive evaluation theory the impact of residents heterogeneity on their cognitive differences was identified the specific conclusions are as follows 1 the step tariff based on the ramsay strategy cannot effectively correct electricity consumption behaviours as expected 2 compared with the step tariff construction of correct policy cognition has a more significant effect on changing the customary behaviour of electricity consumption 3 policy cognition of residents is heterogeneous and groups with weak policy cognition are accurately identified

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

perception of price when price information is costly evidence from residential electricity demand a bstract residential electricity consumption is an example of a good for which it is costly to determine marginal price since price changes with the quantity purchased according to multistep block rate schedules this paper investigates the effect of the price information problem on consumers price perceptions an alternative hypothesis of average price perception is tested against the marginal price postulate which assumes wellinformed consumers the model which includes a price perception variable allows the estimation of the price to which consumers actually respond the empirical results support the hypothesis that consumers respond to average price perceived from the electricity bill

residential energy demand additional empirical evidence by minority household type abstract in a number of recent studies household level data for specific urban areas or national household level micro data have been used to estimate price and income elasticities of energy demand none of this literature however provides us with elasticity estimates by minority majority household type the main focus of this paper is to measure the responsiveness of the quantity of electricity and total energy demanded for black hispanis and majority households to price and income price and income elasticities are compared among these groups over the short and long term a variable elasticity demand model is estimated the elasticities are allowed to vary with respect to non price and income variables the price elasticities of demand vary with heating and cooling degree days and the income elasticities with the number of household members mean estimates were calculated over the respective samples findings indicate that demand for electricity is relatively price inelastic irrespective of household group however blacks are more sensitive to variations in the short run to price than hispanic and majority households in the long run blacks are also more sensitive to price changes but the magnitude of the response to price changes in the long run relative to the short run is larger for hispanics and majority households respectively than for blacks

interactions in swiss households energy demand a holistic approach abstract this article analyzes the interactions and possible trade offs between direct energy consumption and embodied energy requirement of households in switzerland in order to assess the net impacts of standard energy policies focusing exclusively on direct energy use direct and embodied energy demand of swiss households are estimated by combining consumption data of a national expenditure survey with data on energy intensity from life cycle analysis using a system of equations and an instrumental variable approach we find that both domains are driven by same determinants but that there is no evidence for significant substitution between them we also find an increasing effect of income on both domains with particularly important effects on embodied energy from a policy perspective our findings highlight a concern that economic growth could bring about an increasing global energy demand through energy requirement for non energy commodities however the wide spread policies targeting direct energy are unlikely to cause a substantial shift in household consumption to embodied energy

sensitivity of price elasticity of demand to aggregation unobserved heterogeneity price trends and price endogeneity evidence from u s data abstract price elasticity estimates of residential electricity demand vary widely across the energy economics and policy literature in this paper we seek to explain these findings using three nationwide datasets from the u s the american housing survey forms eia 861 and the residential energy consumption survey we examine the role of the sample period level of aggregation use of panel data use of instrumental variables and inclusion of housing characteristics and capital stock our findings suggest that price elasticities have remained relatively constant over time upon splitting our panel datasets into annual cross sections we do observe a negative relationship between price elasticities and the average price whether prices are rising or falling appears to have little effect on our estimates we also find that aggregating our data can result in both higher and lower price elasticity estimates depending on the dataset used and that controlling for unit level fixed effects with panel data generally results in more inelastic demand functions addressing the endogeneity of price and or measurement error in price with instrumental variables has a small but noticeable effect on the price elasticities finally controlling for housing characteristics and capital stock produces a lower price elasticity

regionally varying and regionally uniform electricity pricing policies compared across four usage categories the objective of our research is to predict how electricity demand varies spatially between status quo regionally uniform electricity pricing and hypothetical regionally varying electricity pricing across usage categories we summarize the empirical results of a case study of electricity demand in south korea with three key findings and their related implications first the price elasticities of electricity demand differ across usage categories specifically electricity demands for manufacturing and retail uses are price inelastic and close to unit elastic respectively while those for agricultural and residential uses are not statistically significant this information is important in designing energy policy because higher electricity prices could reduce electricity demands for manufacturing and retail uses resulting in slower growth in those sectors second spatial spillovers in electricity demand vary across uses understanding the spatial structure of electricity demand provides useful information to energy policy makers for anticipating changes in demand across regions via regionally varying electricity pricing for different uses third simulation results suggest that spatial variations among electricity demands by usage category under a regionally varying electricity pricing policy differ from those under a regionally uniform electricity pricing policy differences in spatial changes between the policies provide information for developing a realistic regionally varying electricity pricing policy according to usage category

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

estimating residential demand for electricity in the united states 1965 2006 abstract this paper examines the residential demand for electricity in the us economy as a function of the per capita income the price of electricity the price of oil for heating purposes the weather conditions and the stock of occupied housing over the period 1965 2006 this paper has two novelties first the occupied stock of houses as a proxy for the stock of electrical appliances and second the identification of a possible equilibrium relationship among the variables is ascertained through the recently advanced ardl approach to cointegration our empirical findings give support to a stable long run relationship implying also short run and long run elasticities whose size and sign are comparable to other similar studies

demand customer base line and demand response in the electricity market a survey the increasing use of demand side management as a tool to reliably meet electricity demands at peak time has stimulated interest among researchers consumers and producer organiza tions managers regulators and policymakers this research reviews the growing literature on models which are used to study demand customer base line cbl and demand response in the electricity market after characterizing the general demand models the cbl based on which the demand response models are studied is reviewed given the experience gained from the review and existing conditions the study combines an appropriate model for each case for a possible application to the electricity market moreover it discusses the implications of the results in the literature these aspects are studied independently the main contribution of this survey is attributed to the treatment of the three issues as sequentially interdependent the review is expected to enhance the understanding of the demand cbl and demand response in the electricity market and their relationships the objective is conducted through a combination of demand and supply side managements in order to reduce demand through different demand response programs during peak times this enables electricity suppliers to save costly electricity generation and at the same time reduce energy vulnerability