estimating residential demand for electricity in greece abstract this paper examines the residential demand for electricity in greece the issues of structural stability price and income sensitivity of both long and short run residential demand for electricity in greece were examined employing monthly data over the period 1986 1999 the long run residential demand for electricity is estimated taking into account changes in weather conditions weighted by the size of the population employing multivariate framework analysis a long run residential demand function for electricity sensitive to real income price level and weather conditions is found to exist and the importance of short run deviations is presented using vector error correction model vecm estimation the empirical evidence suggests the presence of a stable residential demand for electricity in greece both in the long and short run periods and the policy implications of such a relationship are presented

effects of demand side management on chinese household electricity consumption empirical findings from chinese household survey abstract china s residential electricity demand has grown rapidly over the last three decades and given the expected continued growth demand side management dsm can play an important role in reducing electricity demand by using micro level data collected from 1450 households in 27 provinces in the first ever china residential energy consumption survey in 2012 this study estimates the effects of three dsm measures empirically tiered household electricity pricing china energy label program and information feedback mechanisms we find these measures have contributed to moderating residential electricity demand growth but additional policy reform and tools are needed to increase their effectiveness and impact residential electricity demand is found to be price and income inelastic and tiered pricing alone may not be as effective in electricity conservation the statistically significant relationship between china energy label efficient refrigerators but not televisions and lowered residential electricity consumption reflect mixed program effectiveness lastly of the information feedback currently available through electricity bills payment frequency and meters only meter reader is estimated to be statistically significant important policy implications and recommendations for improving each of these three dsm measures to expand their impact on reducing residential electricity consumption are identified

electricity shortages and firm productivity evidence from china s industrial firms unreliable inputs to production particularly those that are difficult to store can significantly limit firms productivity leading them to react in a number of ways this paper uses a panel of 23 000 energy intensive chinese firms from 1999 to 2004 to examine how firms responded to severe power shortages in the early 2000s our results suggest that in response to electricity scarcity chinese firms re optimize among inputs to production by substituting materials for energy both electric and non electric sources a shift from make to buy of intermediate inputs to production while outsourcing can be costly chinese firms were able to avoid substantial productivity losses by doing so as a result of the increase in electricity scarcity from 1999 onward we find that unit production costs increased by eight percent

regulatory discretion and the unofficial economy johnson kaufmann and shleifer 1997 find that the share of the unofficial economy in gdp is determined by the extent of control rights held by politicians and bureaucrats in post communist economies exploring in more detail the role of bribes and using a broader data set from the oecd latin america and transition economies we find that the unofficial economy accounts for a larger share of gdp when there is more corruption and when the rule of law is weaker while these findings are consistent with the earlier results for transition economies in the larger country sample we find it is not necessarily the case that more regulation or higher taxes directly increases the size of the unofficial economy the problem appears to be not regulation or taxation per se but whether the state administrative system can operate without corruption a high level of regulatory discretion helps create the potential for corruption and drive firms into the unofficial economy

the structural changes and determinants of household energy choices and energy consumption in urban china addressing the role of building type abstract understanding the energy use and choice behaviors in urban china is essential to curb its energy consumption and air pollutant emissions current energy consumption estimates for urban households in china rarely account for the effects of building types on energy choice behavior thus may lead to biased policy implications in this paper we estimate the determinants of household energy consumption for different energy choice scenarios through the seemingly unrelated regression sur model using urban household data the empirical results show that household use of various energy carriers is driven by household income fuel price demographics building attributes and lifestyles results show building types have a significant effect on household energy consumption behaviors households living in old houses have less access to clean energy such as piped gas income and price elasticities of energy consumption vary with energy type in each scenario and there exist certain substitution effects among different types of energy carriers in particular inter fuel substitute elasticities between coal and clean energy are asymmetric our study highlights the significance of city planning and infrastructure expansion policies and also offers a better basis for coordinating and designing energy policies in urban china and other developing countries

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

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

utility consistent discrete continuous choices in soil conservation a utility consistent model of participation and participation intensity choices for a voluntary soil conservation program is developed a modified form of roy s identity is used to derive a two equation system that links the discrete dichotomous choice participation and the continuous choice intensity to the same utility function the model corrects for selectivity bias that arises in single equation approaches an application to a filter strip program in two counties in illinois and michigan demonstrates that different factors affect responses to the program across the sample regions estimated willingness to accept payments for participation in the program suggest policy impacts are not uniform across locations

residential electricity demand dynamics in turkey abstract this article provides fresh empirical evidences for the income and price elasticies of the residential energy demand both in the short run and long run for turkey over the period 1968 2005 using the bounds testing procedure to cointegration the computed elasticities of income and price are consistent with the previous studies and as expected the long run elasticities are greater than the short run elasticities an augmented form of granger causality analysis is implemented among residential electricity income price and urbanization in the long run causality runs interactively through the error correction term from income price and urbanization to residential energy but the short run causality tests are inconclusive the parameter stability of the short run as well as long run coefficients in the residential energy demand function are tested the results of these tests display a stable pattern

one price doesn t fit all an examination of heterogeneity in price elasticity of residential electricity in india abstract although well designed consumer electricity pricing can improve access contribute to higher metering increase penetration of energy efficient technologies limit extent of the rebound effect and influence viability of electricity distribution utilities in india there has been no comprehensive policy relevant assessment of price elasticities of electricity demand in the country the objective of this study is to estimate price elasticity of residential electricity consumption and disaggregate it by state rural and urban residence and income categories to provide evidence for electricity tariff setting in india we combine survey data from five rounds of nationally representative household consumption expenditure surveys covering the period 2005 2012 with administrative data on electricity deficit and improve on methods applied in previous studies by estimating price elasticities using a quadratic form to account for constraints in electricity supply we find that while the average price elasticity at the national level is 0 39 95 confidence interval 0 46 0 31 it varies significantly by state rural and urban residence and income categories our results indicate that a one price fits all policy may not be an effective approach to electricity tariff setting in india and a data driven understanding of heterogeneities in price elasticities can better inform residential electricity tariff design in the country

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

optimal opt in residential time of use contract based on principal agent theory installation of smart meters is increasing world wide opening the possibility to implement time of use tou tariffs to moderate peak loads this study is focused on the design of an optimal opt in residential tou tariff residential consumers are assumed to act in their private interests and maximize utility in response to tariffs the regulated utility has a broader interest in maximizing societal welfare however the regulated utility cannot impose household behavior and cannot directly observe household type instead the regulated utility must offer contract options including both a tou tariff and current pricing to allow households to self select the plan best suited to their interests this paper proposes a simple flexible household utility function that can be calibrated with minimal data to describe diverse household behaviors and reveal household responses to different prices an optimal pricing model is designed for the regulated utility taking account of asymmetric information and potential household opportunistic behavior using economic constructs from principal agent theory the pricing model ensures participation among households most aligned with the regulated utility s desire the pricing model can also be extended for competitive markets a case study is performed to demonstrate the benefit the optional tou tariff can realize

understanding the spectrum of residential energy saving behaviours french evidence using disaggregated data analysing household energy saving behaviours is crucial to improve energy consumption predictions and energy policy making how should we quantitatively measure them what are their determinants this study explores the main factors influencing residential energy saving behaviours based on a bottom up multivariate statistical approach using data from the recent french phebus survey firstly we assess energy saving behaviours on a one dimension scale using irt secondly we use linear regression with an innovative variable selection method via adaptive lasso to tease out the effects of both macro and micro factors on the behavioural score the results highlight the impact of five main attributes incentivizing energy saving behaviours based on cross variable analyses energy price household income education level age of head of household and dwelling energy performance in addition our results suggest that the analysis of the inverted u shape impact of age enables the expansion of the energy consumption life cycle theory to energy saving behaviours abstract analysing household energy saving behaviours is crucial to improve energy consumption predictions and energy policy making how should we quantitatively measure them what are their determi nants this study explores the main factors influencing residential energy saving behaviours based on a bottom up multivariate statistical approach using data from the recent french phebus survey firstly we assess energy saving behaviours on a one dimension scale using irt secondly we use linear regression with an innovative variable selection method via adaptive lasso to tease out the effects of both macro and micro factors on the behavioural score the results highlight the impact of five main attributes incentivizing energy saving behaviours based on cross variable analyses energy price household income education level age of head of household and dwelling energy performance in addition our results suggest that the analysis of the inverted u shape impact of age enables the expansion of the energy consumption life cycle theory to energy saving behaviours

estimation of residential electricity demand function in seoul by correction for sample selection bias abstract this paper attempts to estimate the residential electricity demand function in seoul to this end we collected the data from a survey of households in seoul and employed the bivariate model to rectify the undesirable impacts of non response data the results show that the size of family the size of house dummy for having a plasma display panel television dummy for having an air conditioner and the household s income have positive relationships with the residential electricity demand on the other hand electricity price contributes negatively to the residential electricity demand in addition the price and income elasticities were estimated as 0 2463 and 0 0593 respectively implying that residential electricity demand in seoul is price and income inelastic such useful information is expected to help policy makers regulate the residential electricity supply and predict the effect of the price on the residential electricity demand in the future

review of key international demand elasticities for major industrializing economies abstract this paper conducts a selective review of various estimates for energy demand responses focused specially upon lower income industrializing economies rather than richer mature nations it emphasizes recent trends from empirical studies that have been published after 2000 emphasis is placed on the five major emerging or transitional economies in brazil china india mexico and russia although other important nations like chile and south korea are also discussed when studies are available the review focuses attention on the long run responses to changes in prices and income after capital stock turnover has been completed the terminology often refers to elasticities or the percentage change in energy use divided by the percentage change in price or income holding constant all other factors that could influence energy use decisions estimates cover petroleum products natural gas and electricity although the available studies often ignore coal they also include the economy wide impacts real gdp to price changes most studies have focused upon household and transportation use of liquid fuels many fewer studies have investigated fuels used by industry or commerce or for electric generation based upon the available estimates price and income elasticities for liquid fuels are generally less than one unity for many countries and sectors except for the long run income effect for transportation purposes which can range widely by country between 0 24 and 1 75 while averaging 0 94 for all countries

elasticities of electricity demand in india abstract the paper examines econometric relationship between electricity consumption and variables like income price of electricity and diesel used in for captive power generation to meet the shortages and reliability of power supply from utilities in five major consumer categories in india these categories are residential commercial agriculture small and medium industries and large industries income and price elasticities of electricity consumption are estimated at the national level for these consumers by pooling data across 19 states spread over 9 years 1985 86 1993 94 the results show that electricity consumption in commercial and large industrial sectors are income elastic 1 while residential agricultural and small and medium industries are income inelastic

estimation of elasticities for electricity demand in brazilian households and policy implications abstract this paper aims to identify the demand elasticity in energy consumption by brazilian families by using an original household level sample we are the first to identify the average price and income elasticities for brazil we also investigate heterogeneous effects across different quantiles through a quantile regression qr analysis finally we extend the results of the qr analysis and combine them with aggregated data to assess the effects of two price policies a cross subsidy and the recently adopted tariff flags the primary data comes from the household budget survey pof for two periods 1998 99 and 2008 13 conducted in the metropolitan area of sao paulo the price and income elasticities range from 0 46 to 0 56 and from 0 20 to 0 32 respectively the qr results indicate that households behavioral response to a price increase is non uniform across groups and that the reaction is stronger for the lower quantiles additionally tariff flags lead to a more significant reduction in consumption for the low income residences therefore representing a regressive policy on the other hand a cross subsidy that increases the energy price to ordinary residences by 1 could mean a decrease in electricity prices of between 7 5 and 12 4 to low income families

residential electricity demand in taiwan this paper examines the residential demand for electricity in taiwan as a function of household disposable income population growth the price of electricity and the degree of urbanization short and long term effects are separated through the use of an error correction model in the long run the income elasticity is unit elastic the own price effect is negative and inelastic in an error correction framework the short run income and price effects are small and less than the long run effects cooling degree day effects have a positive impact on short run consumption we have used a proxy variable urbanization to capture economic development characteristics and changes in electricity using capital stocks not explained by income the variable provides significant explanatory power to the model both in the short and long run we interpret it as controlling for economic development factors not captured by the pure income effect and we think it holds promise for explaining residential electricity consumption in other developing countries

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

the impact of the uk household life cycle transitions on the electricity and gas usage patterns abstract the residential sector accounts for approximately 27 and 17 of the world energy consumption and its co 2 emission respectively thus it is necessary to develop measures to reduce the dioxide emissions in this sector to ensure the sustainable development of the urban environment however the majority of existing sustainable measures revolve around improving the thermal quality of the building s envelope with lesser focus on the social and behavioural aspects of energy consumption for those reasons our paper aims to address a completely new social aspect of energy sustainability which is household life cycle transitions more precisely we will investigate the impact of uk households transitions from one household type to another e g single to couple on their energy consumption to attain this an official british database which encompasses around 6000 households observed annually for over 10 years was analysed using some statistical tests and procedures including logistic regression this enabled us to first determine the socioeconomic factors influencing the households evolutionary patterns subsequently predict possible future transition patterns for a period of 10 years based on that the impact of the predicted transitions on gas and electricity consumption was enquired the analysis of main findings has suggested that households transition patterns have a significant impact on their gas and electricity consumption however this effect is weak and mostly positive in direction finally we argue that incorporating the powerful concept of household life cycle transition into urban energy planning will permit the forecasting of residential energy consumption in relation to different household transition patterns this will in turn assist urban planners in their sustainable energy planning decision making and enable them to develop appropriate measures

an evaluation of technical progress and energy rebound effects in china s iron steel industry abstract as a pillar industry in china the iron steel sector have under through rapid growth and technical progress for decades however energy polices aiming at energy savings may not be as good as expected due to the existence of rebound effects the motivation of the paper is to analysis the nexus between technical progress and energy rebound effects based on a three input trans log cost function model we first estimate the share equation and the corresponding price elasticity for each input factor then the rebound effect in china s iron steel industry over 1985 2015 is evaluated through decomposing the energy prices empirical results show that 1 the price elasticities of input factors are negative 2 energy capital and energy labor show substitute relationships 3 the average energy rebound effect in the isi is as high as 73 88 4 the energy rebound effect shows a downward trend before the 11th five year period and then an upward trend after that therefore policies proposals of lowering the rebound effect should be placed not only on technical progress but also on energy price reform by reducing energy subsidies and thus accelerating energy price marketization so as to promote energy substitution reduce energy rebound effect and produce further economic and environmental benefits

the demand for residential electricity in south africa abstract this paper examines the residential demand for electricity in south africa as a function of real gross domestic product per capita and the price of electricity during the period 1978 2005 we make use of the bounds testing approach to cointegration within an autoregressive distributed framework suggested by pesaran et al 2001 bounds testing approaches to the analysis of level relationships journal of applied econometrics 16 3 289 326 following the literature we use a linear double logarithmic form using income and price as independent variables in the empirical analysis in the long run we find that income is the main determinant of electricity demand while electricity price is insignificant

seasonal cointegration for monthly data abstract in this paper we propose an extension of the maximum likelihood seasonal cointegration procedure developed by johansen and schaumburg j economet 88 1999 310 for monthly time series we compute the finite sample critical values of the associated test statistics in monthly seasonal time series we also apply this seasonal cointegration procedure to the retails and stocks in us monthly manufacturing industrial data

tax evasion and the optimal inflation tax abstract we developed a simple monetary model to study the effects of tax evasion on the optimal inflation tax the model is constructed so that inflation might be an indirect way of taxing the underground sector of the economy we show that while there are theoretical reasons for positive optimal inflation rates the effects are quantitatively small even in countries with large underground sectors we calculate the optimal nominal interest rate for peru to be between 7 and 19 despite the fact that its underground sector is close to 40 of measured gnp according to our calculations the welfare gain of using inflation to tax the underground sector is also very small

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

quebec residential electricity demand a microeconometric approach in this paper we use a micro approach to model quebec residential demand for electricity the model incorporates a joint continuous discrete decision framework which allows for interrelationships between decisions on electricity related durable holdings and those on usage in the spirit of recent studies which used a continuous discrete frame work the model parameters are estimated using a two stage approach at the first stage the decisions regarding space and water heating systems are modelled with a very flexible multinomial probit mnp framework then at the second stage the demand for electricity conditional on the chosen heating system is estimated using ordinary least squares and a correction is applied in order to eliminate a potential estimation bias the estimated short run and long run price and income elasticities have the correct signs and are rather small as is expected under such circumstances

exposure and risk to fuel poverty in france examining the extent of the fuel precariousness and its salient determinants abstract millions of households experience fuel poverty around the world commonly defined in broad terms in the early 1990s to cover households whose total energy bills exceeded 10 of their net income first this paper outlines the measurement of fuel poverty using the low income high costs indicator lihc and examines the main characteristics of fuel poor households in france based on multidimensional statistical analysis using a new micro level survey data it then explores the salient determinants of fuel poverty risk using logistic regression about 3 18 million households are estimated to be in fuel poverty representing 12 of all french households the hierarchical classification suggested four distinct profiles which shed light on the main features of fuel poor households additionally results show that the risk of being fuel poor and the depth of fuel poverty increase significantly with lower epc rating house and confirm the existence of a social gradient in fuel poverty recognition of this aspect can be helpful for developing economically efficient policies to address fuel poverty this study does not aim to be exhaustive in policy implications terms but rather to present a new way of thinking about fuel poverty solutions by targeting different household groups

a quantitative analysis of inflation as a tax on the underground economy abstract inflation rates are more dispersed and are persistently higher in developing countries this paper quantifies the importance of the public finance motive for inflation in the presence of a tax evading sector the underground economy the approach is motivated by the observation that the underground economy is especially large in poor countries the analysis builds on a general equilibrium monetary model with two production sectors where income in one of the sectors cannot be taxed a benevolent government finances its budget using an optimal combination of the income tax rate and the inflation rate the model is first calibrated to the u s economy and is then used for a cross country simulation the resulting relationships between the size of an underground economy inflation rate income tax rate and the share of seigniorage in the government revenue rationalize the cross country data quantitatively well

electricity consumption and economic growth in china abstract this paper applies the error correction model to examine the causal relationship between electricity consumption and real gdp for china during 1971 2000 our estimation results indicate that real gdp and electricity consumption for china are cointegrated and there is unidirectional granger causality running from electricity consumption to real gdp but not vice versa in order to overcome the constraints on electricity consumption the chinese government has to speed up the nation wide interconnection of power networks to upgrade urban and rural distribution grids and to accelerate rural electrification

scrutinizing the direct rebound effect for french households using quantile regression and data from an original survey abstract this article develops a quantile regression model to measure the magnitude of the direct rebound effect for residential electricity demand based on micro level data from an original survey of a representative sample of 2356 french households we explore the rebound effect for different groups of residents traditionally debate has focused on decreased prices for energy services due to efficiency improvements and their effects on energy demand the methodological innovation provided by this paper is that it implements two theoretical estimation strategies i energy efficiency elasticity of the demand for energy services and ii price elasticity of the demand for energy services our findings reject the hypothesis of a backfire effect in the context of residential electricity use specifically based on energy efficiency elasticity we provide evidence of a rebound effect of between 72 and 86 but with substantial heterogeneity among consumption quantiles our results show that the direct rebound effect has critical relevance for energy efficiency policy in the face of energy invisibility in france

the ex post impact of an energy tax on household energy demand this paper presents an econometric study dealing with household demand for energy in the netherlands the main objective of the paper is to present an estimation of the actual impact of an already implemented energy tax introduced in the netherlands in 1996 the approach differs from the existing literature in that 1 it uses panel data for the same period in which the tax was introduced and 2 it estimates a demand function that controls for a large set of variables such as outside temperature type of house and of house insulation household cooking behavior and an extensive number of durable goods and electrical appliances the study concludes that in the short term the energy tax had a small but significant impact on energy consumption in the netherlands concretely the yearly average demand reduction was of 8 for electricity and 4 4 for gas additionally the influence of variables other than price and income on household energy demand is discussed using this information the impact that the energy tax had on household energy use can be compared with the energy reduction that could have been achieved when using other policy instruments

cointegration analysis of seasonal time series this paper reviews various recent approaches to cointegration analysis of seasonal time series in addition to the usual decisions concerning data transformations and univariate time series properties it is necessary to decide how seasonal variation is included in the multivariate model and how standard cointegration methods should accordingly be modified seasonal cointegration and periodic cointegration methods are discussed as are some of their recent refinements an overview of further research topics is also provided

household electricity and gas consumption for heating homes energy consumption has been drastically changed because of energy source depletion price fluctuations development and penetration of alternative energy sources and government policies household energy sources are interrelated and energy price and household characteristics such as income level and dwelling size affect the usage to supply energy consistently and achieve a balance between production and consumption stakeholders must understand consumer energy consumption behavior therefore this study identifies household heating energy usage patterns and the substitutive and or complementary relationships between electricity and gas based on a multiple discrete continuous extreme value model household utility structure is identified from data on gas heating usage results show greater utility and the smallest satiation values for gas boilers than for electric heaters and electric heating beds the effects of consumer socioeconomic and environmental characteristics on the choice of heating energy sources were analyzed also for further comparison the respondents were split into high and low categories for income heating degree days dwelling size and gas usage gas was found to be the most economical heating choice for households

the monetary method to measure the shadow economy the forgotten problem of the initial conditions abstract we show that when the money demand function used to estimate the size of the shadow economy includes the lagged dependent variable the need to assume a known initial condition reappears as it was the case in the early monetary methods

residential demand for electricity the case of greece this paper examines the determinants of residential electricity consumption in greece over the period 1961 86 the paper presents first a brief description of the evolution of residential electricity consumption then it proceeds in the estimation of elasticities of residential demand for electricity using a single equation model with the ridge regression method the paper concludes that i the residential demand for electricity is price inelastic and income elastic ii there is high substitutability between electricity and lpg iii during the examined period the number of consumers played a very important role in the expansion of electricity consumption in greece and iv there is no regional variation in residential electricity demand

building and household x factors and energy consumption at the residential sector a structural equation analysis of the effects of household and building characteristics on the annual energy consumption of us residential buildings abstract energy use in residential buildings is one of the major sources of greenhouse gas emission production from cities using microdata from the 2009 residential energy consumption survey recs this study applies structural equation modeling to analyze the direct indirect and total impacts of household and building characteristics on residential energy consumption results demonstrate that the direct impact of household characteristics on residential energy consumption is significantly smaller than the corresponding impact from the buildings however accounting for the indirect impact of household characteristics on energy consumption through choice of the housing unit characteristics the total impact of households on energy consumption is just slightly smaller than that of buildings outcomes of this paper call for smart policies to incorporate housing choice processes in managing residential energy consumption

understanding the spectrum of domestic energy consumption empirical evidence from france abstract this article focuses on residential energy consumption in france using a bottom up statistical approach this analysis explores determinants of household energy consumption using data from the most recent national housing survey the primary objective is to tease out the impacts of various factors on the domestic energy consumption spectrum across different population groups the aim of this approach is to neutralize conventional factors affecting energy consumption age of house total area etc to finely analyze the impact of other determinants including those relating to household characteristics and other control variables first we define homogeneous consumption groups of households by using multivariate statistical techniques namely the multiple correspondence analysis and ascending hierarchical classification second we use standard ols regression to explore the effects of various factors on domestic energy consumption among homogeneous groups of households this multivariate analysis exercise has led us to identify four main consumption typologies results revealed that energy prices were the most important factors determining domestic energy consumption in addition this study showed that occupant characteristics significantly affect domestic energy use results of this research call for combine all efforts multiple strategies and smart policies to incorporate household and consumption behaviors in managing domestic energy consumption

energy use and appliance ownership in ireland abstract this paper examines household energy use and appliance ownership in ireland logit regression analyses on a large micro dataset reveal how household characteristics can help explain the ownership of energy using appliances using ols regression models we explore the factors affecting residential energy demand conditional on appliance ownership results suggest that the methods of space and water heating employed by a household are even more important than electrical appliances in explaining domestic energy usage however the stock of appliances must be included in such models so that results will not be biased the methods employed in this paper can be easily adopted for studies of household energy use in other countries where household expenditure survey data are available

energy consumption for space heating of west german households empirical evidence scenario projections and policy implications abstract both the technical characteristics of buildings e g insulation standards and the utilisation patterns of households are important determinants of the space heating demand of private households therefore this paper examines to what extent socio economic characteristics of households household size social position income etc are suitable to explain household s behaviour concerning space heating given technical building characteristics on the other hand energy efficiency factors derived from technical simulation models are scrutinised the empirical basis of this analysis is the official household survey 1988 for west germany containing about 44 000 data sets therefrom it turns out that the german insulation standards of buildings have been less effective in the past than assumed on the basis of technical simulations by means of scenario calculations projections of the heating energy demand for space heating in the future are obtained sketching the effect of different possible socio economic developments on the space heating consumption and analysing different political options concerning building insulation standards for new buildings and the existing building stock

estimating broad brush rebound effects for household energy consumption in the eu 28 countries and norway some policy implications of odyssee data abstract currently there is a strong policy commitment in european union eu and organisation for economic co operation and development oecd countries to increase the energy efficiency of residential buildings and it is widely assumed that this will naturally and automatically reduce domestic energy consumption however other factors such as fuel prices wages attitudes and lifestyles also influence energy consumption this paper calculates broad brush rebound effects based on changes in energy efficiency and energy consumption in each of the 28 eu countries plus norway for the years 2000 2011 in doing so it tests how well the assumption of energy efficiency leading to energy reduction stands up to scrutiny in these lands it uses the eu s odyssee database for efficiency and consumption figures and a commonly employed econometric definition of the rebound effect as an energy efficiency elasticity most older eu lands show rebound effects in the expected range of 0 50 however the range for newer eu countries is 100 550 suggesting that energy efficiency increases are not a good predictor of energy consumption a more in depth look at one country germany suggests these results underestimate the rebound effect significantly this also identifies research needs for specific energy consumption determinants in each country to find more precisely what is driving consumption levels

price and expenditure elasticities of residential energy demand during urbanization an empirical analysis based on the household level survey data in china abstract urbanization one of the most obvious characteristics of economic growth in china has an apparent lock in effect on residential energy consumption pattern it is expected that residential sector would become a major force that drives china s energy consumption after urbanization process we estimate price and expenditure elasticities of residential energy demand using data from china s residential energy consumption survey crecs that covers households at different income levels and from different regional and social groups empirical results from the almost ideal demand system model are in accordance with the basic expectations the demands for electricity natural gas and transport fuels are inelastic in the residential sector due to the unreasonable pricing mechanism we further investigate the sensitivities of different income groups to prices of the three types of energy policy simulations indicate that rationalizing energy pricing mechanism is an important guarantee for energy sustainable development during urbanization finally we put forward suggestions on energy pricing reform in the residential sector based on characteristics of china s undergoing urbanization process and the current energy consumption situations

lifestyle factors in u s residential electricity consumption abstract a multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated factor analysis of selected variables from the 2005 u s residential energy consumption survey recs identified five lifestyle factors reflecting social and behavioral patterns associated with air conditioning laundry usage personal computer usage climate zone of residence and tv use these factors were also estimated for 2001 recs data multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40 of the variance in electricity consumption for both years by adding the household and market characteristics of income local electricity price and access to natural gas variance accounted for is increased to approximately 54 income contributed 1 unique variance to the models indicating that lifestyle factors reflecting social and behavioral patterns better account for consumption differences than income geographic segmentation of factor scores shows distinct clusters of consumption and lifestyle factors particularly in suburban locations the implications for tailored policy and planning interventions are discussed in relation to lifestyle issues

energy saving and energy efficiency concepts for policy making departing from the concept of rational use of energy the paper outlines the microeconomics of end use energy saving as a result of frugality or efficiency measures frugality refers to the behaviour that is aimed at energy conservation and with efficiency we refer to the technical ratio between energy input and output services that can be modified with technical improvements e g technology substitution changing behaviour from one side and technology from the other are key issues for public energy policy in this paper we attempt to identify the effects of parameters that determine energy saving behaviour with the use of the microeconomic theory the role of these parameters is crucial and can determine the outcome of energy efficiency policies therefore policymakers should properly address them when designing policies

how do household characteristics affect appliance usage application of conditional demand analysis to japanese household data abstract although both appliance ownership and usage patterns determine residential electricity consumption it is less known how households actually use their appliances in this study we conduct conditional demand analyses to break down total household electricity consumption into a set of demand functions for electricity usage across 12 appliance categories we then examine how the socioeconomic characteristics of the households explain their appliance usage analysis of micro level data from the nation survey of family and expenditure in japan reveals that the family and income structure of households affect appliance usage specifically we find that the presence of teenagers increases both air conditioner and dishwasher use labor income and nonlabor income affect microwave usage in different ways air conditioner usage decreases as the wife s income increases and microwave usage decreases as the husband s income increases furthermore we find that households use more electricity with new personal computers than old ones this implies that the replacement of old personal computers increases electricity consumption

quantifying the black economy measurement without theory yet again i shall argue that measurement without theory is a fair description of the published empirical work aimed at guestimating the size of the hidden or black economy i shall also argue that a mere guestimate of the overall size of the black economy is of limited value for the policy maker it is also important to know who is doing what where how and why then we can see what should and or can be done about legislating for or against the black economy in assessing the various attempts to measure the size of the black economy one should also be aware of a political dimension to some of this work perhaps a large and growing black economy is an indication that the economy is overtaxed and over regulated and a neo liberal adjustment is needed to free it up if a large part of the black economy is social security fraud then maybe unemployment is not really as bad as it looks clearly such political conclusions depended on having good theoretical as well as sound quantitative foundations and both these components were generally missing

green hypocrisy environmental attitudes and residential space heating expenditure popular media make claims of a green hypocrisy groups which have the strongest attitude towards the environment also have the highest emissions this study examines whether environmental behaviours beliefs and attitudes are associated with space heating energy use in the uk in order to test for evidence of a green hypocrisy in the uk the largest proportion of household energy use is for space heating we find that environmental behaviours are negatively correlated with heating expenditures while environmentally friendly attitudes and perceptions are not associated with lower heating expenditure further the effect of these attitudes and behaviours does not change as income increase there seems to be little evidence of a green hypocrisy amongst the uk public with respect to space heating

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

recent experiences with tariffs for saving electricity in households abstract financial incentives or disincentives in the form of electricity tariffs can be used to encourage energy efficiency in this paper two simple tariffs aimed at residential consumers are reviewed progressive tariffs pts which penalise high consumption of electricity and electricity saving feed in tariffs esfits which provide incentives to reduce consumption of electricity the effectiveness of these tariffs is quantified and compared using the price elasticity for pt and an incentive elasticity for esfit the results indicate that pts are more effective in mobilising electricity saving than esfits and confirm biases in human decision making here loss aversion while further research is necessary we propose a tariff which would motivate consumers to reduce their consumption by offering both an incentive for reaching an energy saving goal and a disincentive for failing to reach this goal the flexibility of such a tariff makes it a promising solution suitable for application in countries with a comparatively high household income and liberalised retail electricity market

elasticities of electricity demand in urban indian households abstract in the past several electricity demand studies have been published for india based on aggregate macro data at the country or sub national state level since the underlying theory of consumer demand is based on the behaviour of individual agents the use of micro data which reflects individual and household behaviour more closely can shed greater light on the nature of consumer responses in this paper seasonal price and income elasticities of electricity demand in the residential sector of all urban areas of india are estimated for the first time using disaggregate level survey data for about 30 000 households three electricity demand functions have been econometrically estimated using monthly data for the winter monsoon and summer season in order to understand the extent to which factors like income prices household size and other household specific characteristics influence variations observed in individual households electricity demand the results show electricity demand is income and price inelastic in all three seasons and that household demographic and geographical variables are significant in determining electricity demand

corruption and the shadow economy an empirical analysis this paper analyzes the influence of the shadow economy on corruption and vice versa we hypothesize that corruption and the shadow economy are substitutes in high income countries while they are complements in low income countries the hypotheses are tested for a cross section of 98 countries our results show that there is no robust relationship between corruption and the size of the shadow economy when perceptions based indices of corruption are used employing an index of corruption based on a structural model however corruption and the shadow economy are complements in countries with low income but not in high income countries

electricity consumption and economic growth in china cointegration and co feature analysis abstract this paper applies the cointegration theory to examine the causal relationship between electricity consumption and real gdp gross demostic product for china during 1978 2004 our estimation results indicate that real gdp and electricity consumption for china are cointegrated and there is only unidirectional granger causality running from electricity consumption to real gdp but not the vice versa then hodrick prescott hp filter is applied to decompose the trend and fluctuation component of the gdp and electricity consumption series the estimation results indicate that there is cointegration between not only the trend components but also the cyclical components of the two series which implies that the granger causality is probably related with the business cycle the estimation results are of policy implication to the development of electric sector in china

housing related lifestyle and energy saving a multi level approach abstract a new instrument for measuring housing related lifestyle hrl is introduced and employed for identifying national and cross national hrl segments in 10 european countries n 3190 the identified hrl segments are profiled and the practical importance of hrl for everyday energy saving efforts in the home and for the energy consumer s openness to new energy saving opportunities i e energy saving innovativeness is investigated the hrl instrument s 71 items load on 16 dimensions within five lifestyle elements multi group confirmatory factor analysis reveals that the instrument possesses metric but not scalar measurement invariance across the 10 countries multilevel latent class analysis is used to classify participants to hrl segments and the 10 countries into regions with similar segment structure the optimal solution has seven hrl segments and three country classes which are profiled in terms of relevant background characteristics a multivariate glm analysis reveals that when differences in housing related lifestyles are controlled neither country of residence nor the interaction between lifestyle and country of residence influence energy saving innovativeness or everyday energy saving efforts however these two behavioural tendencies vary significantly and substantially between lifestyle segments the study shows that hrl segmentation is a useful tool for creating more targeted and effective energy saving campaigns

an indirect utility model of car ownership and private car use abstract in this paper a model is developed for the simultaneous determination of private car ownership and private car use measured as the annual number of kilometers this model is a micro economic utility model in which the fixed and variable car costs enter through the budget restriction this allows us to do micro simulations of increasing those costs which is a policy issue in the netherlands it turns out that in this model both fixed and variable car costs are effective measures for reducing traffic growth the former working primarily through decreasing car ownership levels the latter having a more direct effect on car use

the hard shadow of the greek economy new estimates of the size of the underground economy and its fiscal impact this article presents new estimates of the greek underground economy and explores the link between the underground economy and aggregate debt we show that the greek underground economy has been underestimated heavily and has been on a rising trend again since greece adopted the euro we also present evidence that the size of the underground economy is positively related to the debt to gdp ratio implying that fighting the underground economy is also conducive to financial and macroeconomic stability our results suggest that for our sample of 11 emu member countries the loss of the inflation tax as an economic policy instrument had drastic consequences while the underground economy did not have a statistically significant impact on aggregate debt before the introduction of the euro it has pushed up the debt to gdp ratio in our sample since

empirical evidence of direct rebound effect in catalonia this paper reviews the empirical literature concerning the direct rebound effect in households it briefly analyzes the main theoretical and methodological aspects and finally estimates the magnitude of direct rebound effect for all energy services using electricity in households of catalonia spain using econometric techniques the main results show an estimated direct rebound effect of 35 in the short term and 49 in the long term the existence of a rebound effect reduces the effectiveness of energy efficiency policies

estimation of urban residential electricity demand in china using household survey data abstract this paper uses annual urban household survey data of sichuan province from 2007 to 2009 to estimate the income and price elasticities of residential electricity demand along with the effects of lifestyle related variables the empirical results show that in the urban area of sichuan province the residential electricity demand is price and income inelastic with price and income elasticities ranging from 0 35 to 0 50 and from 0 14 to 0 33 respectively such lifestyle related variables as demographic variables dwelling size and holdings of home appliances are also important determinants of residential electricity demand especially the latter these results are robust to a variety of sensitivity tests the research findings imply that urban residential electricity demand continues to increase with the growth of income the empirical results have important policy implications for the multistep electricity price which been adopted in some cities and is expected to be promoted nationwide through the installation of energy efficient home appliances

household demand for electricity the role of market distortions and prices in competition policy abstract this paper examines residential demand for electricity in sri lanka using survey data collected over a five year period between 2011 and 2015 the study finds that the major determinants of demand for residential electricity are the result of price or market distortions i e subsidies socioeconomic variables and energy saving technology the effects of these variables are particularly relevant to competition policy estimated elasticities with respect to average price subsidies under marginal cost pricing subsidies under average cost pricing and income are found to be 0 015 0 021 0 036 and 0 046 respectively we find that demand for electricity is inelastic and is categorised as a normal good however elasticities with respect to subsidy variables are found to be higher than the price variable this implies that under an increasing block rate system any price change used as a policy measure to control electricity consumption will not be effective this is because price changes could alter the subsidy received by the consumer and therefore reverse the objective of the price change further results of this study find that price and elasticities with respect to subsidy variables are relatively higher for low income groups while income elasticity is relatively larger for high income groups

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

households energy consumption and transition toward cleaner energy sources the paper investigates the factors influencing households energy choices and the drivers of switching toward cleaner energy we first present a theoretical framework to determine the factors that explain households energy consumption and highlight the motivations underlying their transition towards less polluting sources including their environmental preference using french household data from ademe we provide an econometric test of qualitative variables following studies by dubin and mcfadden 1984 our results show that income and prices are the main determinants of household energy consumption environmental considerations seem to influence the choice of energy sources more than consumption we also find evidence that income and relative capital cost are the most important variables for household energy switching

impact of tiered pricing system on china s urban residential electricity consumption survey evidences from 14 cities in guangxi province the chinese government has highlighted the crucial role of energy conservation in its 2014 2020 energy strategy plan where the residential sector inevitably takes great responsibility one big move was the implementation of the tiered electricity pricing tep system which intends to motivate electricity saving behavior and address cross subsidization issue this paper therefore attempts to investigate the effectiveness of the tep i e whether the tep has attained its anticipated electricity conservation outcome the empirical study was carried out in 14 cities in china s guangxi province using a survey method the survey data demonstrated that there were more than half of the respondents 52 8 affirmed that the tep had encouraged them to save electricity regression results show that the tep performance was significantly associated with respondents electricity expenditures and their income levels moreover respondents electricity saving attitudes awareness and literacy were also found to be the critical driving forces to improve the effectiveness of tep the key drawn policy implication is that the tep price magnitudes should be increased further while the adjustment of the magnitudes should not neglect residents income levels

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

the demand for electricity in israel quarterly data for israel are used to compare and contrast three dynamic econometric methodologies for estimating the demand for electricity by households and industrial companies these are the dynamic regression model and two approaches to cointegration ols and maximum likelihood since we find evidence of seasonal unit roots in the data we also test for seasonal cointegration we find that the scale elasticities are similar in all three approaches but the ols price elasticities are considerably lower moreover ols suggests non cointegration the paper concludes by stochastically simulating the drms to calculate upside risk in electricity demand

the residential demand for electricity in australia an application of the bounds testing approach to cointegration this paper reports estimates of the long and short run elasticities of residential demand for electricity in australia using the bounds testing procedure to cointegration within an autoregressive distributive lag framework in the long run we find that income and own price are the most important determinants of residential electricity demand while temperature is significant some of the time and gas prices are insignificant our estimates of long run income elasticity and price elasticity of demand are consistent with previous studies although they are towards the lower end of existing estimates as expected the short run elasticities are much smaller than the long run elasticities and the coefficients on the error correction coefficients are small consistent with the fact that in the short run energy appliances are fixed

dodging the grabbing hand the determinants of unofficial activity in 69 countries across 69 countries higher tax rates are associated with less unofficial activity as a percent of gdp but corruption is associated with more unofficial activity entrepreneurs go underground not to avoid official taxes but to reduce the burden of bureaucracy and corruption dodging the grabbing hand in this way reduces tax revenues as a percent of both official and total gdp as a result corrupt governments become small governments and only relatively uncorrupt governments can sustain high tax rates 2000 elsevier science s a all rights reserved

direct rebound effect of residential gas demand empirical evidence from france abstract energy policymakers are increasingly concerned about energy efficiency improvements as such improvements are considered to be a key strategy in reducing energy demand in the residential sector however energy efficiency investments may not yield the expected energy savings due to the rebound effect concept which leads to lower savings than expected when energy efficiency increases using the standard ols regression and autoregressive distributed lag cointegration ardl approach this paper provides estimates of the magnitude of the rebound effect for residential gas consumption in france using 1983 2015 annual time series data the methodology is based on estimates of the gas demand elasticity with respect to service price the empirical findings indicate that the variables used in the model are cointegrated and suggest the presence of an obvious rebound effect in residential gas use more specifically estimates of the direct rebound effect in residential gas demand are approximately 53 in the short run and approximately 60 in the long run our findings reject the hypothesis of a backfire effect regarding residential gas use in france and hence suggest incorporating carbon taxation energy efficiency and alternative energy in the formulation of an energy saving policy to facilitate the transition towards a low carbon economy in france

untangling the complexity of the direct and indirect determinants of the residential energy consumption in france quantitative analysis using a structural equation modeling approach abstract about a quarter of french energy demand is for residential use this study mobilises a multidisciplinary approach and a non linear modeling strategy to examine the total direct and indirect effects of households and housing units in designing french energy consumption based on micro level data from the new french 2012 phebus survey this research implements a structural equation model to tease out the effects of both dwelling characteristics household attributes climate and behaviours on the domestic energy use findings confirm that the direct effect of household related attributes on domestic energy demand is notably lower than the corresponding effect from the dwelling attributes nevertheless considering for the indirect effect of household factors on energy use across housing choices the total impact of household related attributes on the french domestic energy consumption is just slightly lower than that of dwelling characteristics therefore to highlight the spectrum of residential energy use this research calls to incorporate both direct and indirect effects of household attributes and choices this study suggests several key insights on how to incorporate housing policy into residential energy policy and reduce energy related greenhouse gas emissions

residential energy use and conservation economics and demographics energy consumption in the residential sector offers an important opportunity for conserving resources however much of the current debate regarding energy efficiency in the housing market focuses on the physical and technical determinants of energy consumption neglecting the role of the economic behavior of resident households in this paper we analyze the extent to which the use of gas and electricity is determined by the technical specifications of the dwelling as compared to the demographic characteristics of the residents our analysis is based on a sample of more than 300 000 dutch homes and their occupants the results indicate that residential gas consumption is determined principally by structural dwelling characteristics such as the vintage building type and characteristics of the dwelling while electricity consumption varies more directly with household composition in particular income and family composition combining these results with projections on future economic and demographic trends we find that even absent price increases for residential energy the aging of the population and their increasing wealth will roughly offset improvements in the energy efficiency of the building stock resulting from policy interventions and natural revitalization

the hourly income elasticity of electricity using a detailed data set on appliance level electricity consumption at the hourly level we provide the first estimates of hourly and end use specific income elasticities for electricity such est

how do urban households in china respond to increasing block pricing in electricity evidence from a fuzzy regression discontinuity approach abstract china is the largest electricity consumption country after it has passed the united states in 2011 residential electricity consumption in china grew by 381 35 12 85 per annum between 2000 and 2013 in order to deal with rapid growth in residential electricity consumption an increasing block pricing policy was introduced for residential electricity consumers in china on july 1st 2012 using difference in differences models with a fuzzy regression discontinuity design we estimate a causal effect of price on electricity consumption for urban households during the introduction of increasing block pricing policy in guangdong province of china we find that consumers do not respond to a smaller approximately 8 increase in marginal price however consumers do respond to a larger increase in marginal price an approximately 40 increase in marginal price induces an approximately 35 decrease in electricity use 284 kw h per month our results suggest that although the increasing block pricing could affect the behavior of households with higher electricity use there is only a limit potential to overall energy conservation

electricity consumption in g7 countries a panel cointegration analysis of residential demand elasticities this article applies recently developed panel unit root and panel cointegration techniques to estimate the long run and short run income and price elasticities for residential demand for electricity in g7 countries the panel results indicate that in the long run residential demand for electricity is price elastic and income inelastic the study concludes that from an environmental perspective there is potential to use pricing policies in the g7 countries to curtail residential electricity demand and thus curb carbon emissions in the long run

modelling and forecasting turkish residential electricity demand abstract this research investigates the relationship between turkish residential electricity consumption household total final consumption expenditure and residential electricity prices by applying the structural time series model to annual data over the period from 1960 to 2008 household total final consumption expenditure real energy prices and an underlying energy demand trend are found to be important drivers of turkish residential electricity demand with the estimated short run and the long run total final consumption expenditure elasticities being 0 38 and 1 57 respectively and the estimated short run and long run price elasticities being 0 09 and 0 38 respectively moreover the estimated underlying energy demand trend which as far as is known has not been investigated before for the turkish residential sector should be of some benefit to turkish decision makers in terms of energy planning it provides information about the impact of past policies the influence of technical progress the impacts of changes in consumer behaviour and the effects of changes in economic structure furthermore based on the estimated equation and different forecast assumptions it is predicted that turkish residential electricity demand will be somewhere between 48 and 80 twh by 2020 compared to 40 twh in 2008

the role of risk and trust attitudes in explaining residential energy demand evidence from the united kingdom recent research into the determinants of household energy consumption has aimed to incorporate findings from economics sociology and psychology in order to obtain a more comprehensive understanding of the factors determining energy demand the current paper contributes to this nascent stream of literature by studying the relationship between risk attitudes trust propensity and energy consumption at the household level drawing on the british household panel survey a well known data set in the context of energy studies i show that trust is negatively correlated with household energy demand while higher risk tolerance leads to increases in residential energy use potential explanations for these findings are investigated suggesting that risk preferences may be related with overall appliance stock and the size of the rebound effect

the seasonal cycle in u s manufacturing abstract this paper examines the seasonal cycle in the manufacturing sector of the u s economy the most significant feature is a sharp slowdown in july we argue that this event is not easily explained by technology or preference shifts but instead results from synergies across economic agents

electricity demand and basic needs empirical evidence from china s households an increasing block tariff ibt has been implemented nationwide in the residential sector in china since 2012 however knowledge about ibt design is still limited particularly how to determine the electricity volume for the first block of an ibt scheme assuming the first block should be set based on some measure of electricity poverty we attempt to model household electricity demand such that the range of basic needs can be established we show that in chinese households there exists a threshold for electricity consumption with respect to income which could be considered a measure of electricity poverty and the threshold differs between rural and urban areas for rural urban families electricity consumption at the level of 7th 5th income decile households can be considered the threshold for basic needs or a measure of electricity poverty since household electricity demand in rural urban areas does not respond to income changes until after 7th 5th income decile accordingly the first ibt block for some provinces e g beijing appears to have been set at a level that is too high over time however given continued rapid growth the ibt will begin to better reflect actual basic needs

the determinants of domestic energy consumption in france energy modes habitat households and life cycles this article explores the question of domestic energy consumption it concentrates on the example of france and using micro data from the 2002 and 2006 national housing surveys conducted by insee national institute of statistics and economic studies the empirical analysis is divided into three stages the first verifies the correspondences between modes of energy consumption household profiles and housing profiles in order to classify consumer mode types the second looks at the stabilities and variations over time of each of these types the last seeks to identify the causes of these changes the findings reveal sharp divergences between the factors affecting global consumption consumption per m2 and per person these variations can be explained by the impact of the demographic characteristics of households residential mobility and life cycles therefore these findings demonstrate the flexibility over time of domestic energy consumption which is still too often approached as a static variable solely associated with building characteristics they need to be taken further through a longitudinal and multidisciplinary approach to energy consumption patterns

an analysis of monthly household energy consumption among single family residences in texas 2010 demographic socioeconomic and housing characteristics influence variation in household energy consumption by combining household level utility public and proprietary data we examine predictors of household energy consumption in a texas urban area using quantile regression this analysis assesses the relationship between energy consumption and predictors at the middle and both ends of the distribution 10th and 90th percentiles results indicate potential opportunities to lower consumption among the highest energy consuming households including those with pools with non central cooling with people working from home those built on pier post foundation and those that are renter occupied these findings suggest significant opportunities to reduce consumption and demand as in the study area almost 10 of housing units are renter occupied 18 percent are without central cooling and 7 have pools capturing a significant portion of these homes for retrofit conservation efforts through marketing has potential to produce substantial results producing a better understanding of determinants of household energy consumption using the methods presented has potential to assist development and implementation of strategies to reduce consumption and increase efficiency

empirics on the long run effects of building energy codes in the housing market we study the effectiveness of building energy codes taking a long run perspective the focus is on regulation s impact on energy demand in both high and low quality residences in other words the diffusion and the entry of green buildings in the housing market we develop a measure for regulation intensity and apply this to a panel error correction regression model for energy requirements of a large sample of german apartment houses built between 1950 and 2005 we show that regulation is effective in saving energy in particular regulation pushes investors in the low quality housing market segment toward the technological frontier indirectly it also affects the high quality segment jel q41 r52