aggregate demand for electricity in south africa an analysis using the bounds testing approach to cointegration abstract electricity demand in south africa has grown at a very rapid rate over the past decade as part of reform initiatives to enhance long term sustainability of the country s electricity industry south africa s authorities have in recent years sought to develop an electricity pricing framework that is cost reflective and forms the cornerstone of demand management schemes meant to foster changes in consumption behaviour and enhance efficiency in resource use the effects of any pricing policy on aggregate electricity consumption will depend on a useful understanding of the factors that influence electricity demand and the magnitude to which electricity demand responds to changes in such factors in this context this paper applies the bounds testing approach to cointegration within an autoregressive distributed lag framework to examine the aggregate demand for electricity in south africa during the period 1960 2007 the results indicate that in the long run income is the main determinant of electricity demand with electricity prices having an insignificant effect on aggregate electricity demand future pricing policies will need to ensure that electricity prices are cost reflective and enhance efficiency of electricity supply and use

commodities momentum a behavioral perspective the growth in commodity related investments has sparked interest in the performance of momentum strategies in these markets this paper introduces a behavioral proxy of the 52 week high and low momentum that explains a significant proportion of the variation of conventional momentum returns after controlling for commodity specific risk factors our findings show that the 52 week high strategy generates significant profits after accounting for transaction costs we report that the 52 week high strategy is a better predictor of returns than conventional momentum our findings suggest that term structure and hedging pressure risk factors provide only a partial explanation of the results

the relationship between gdp and electricity consumption in 10 asian countries the purpose of this study is to estimate the relationships between gdp and electricity consumption in 10 newly industrializing and developing asian countries using both single data sets and panel data procedures the empirical results from single data set indicate that the causality directions in the 10 asian countries are mixed while there is a uni directional short run causality running from economic growth to electricity consumption and a bi directional long run causality between electricity consumption and economic growth if the panel data procedure is implemented these empirical findings imply that electricity conservation policies through both rationalizing the electricity supply efficiency improvement to avoid the wastage of electricity and managing demand side to reduce the electricity consumption without affecting the end user benefits could be initiated without adverse effect on economic growth the findings on the long run relationship indicate that a sufficiently large supply of electricity can ensure that a higher level of economic growth

electricity consumption and economic growth exploring panel specific differences abstract in this paper we examine the long and short run dynamics between electricity consumption and economic activities using panel data of per capita electricity consumption and per capita gdp of 160 countries for the period of 1980 2010 accounting for the degree of electricity dependence and the level of urbanization furthermore in order to capture the differences in this relationship the full sample is divided into various subsamples based on countries income levels regional locations and oecd memberships this framework is argued and found to be appropriate since the causal links and inferences arising therefrom differ considerably among the subsamples which led us to conclude that the electricity growth nexus is highly sensitive to regional differences countries income levels urbanization rates and supply risks

modelling weather effects for impact analysis of residential time of use electricity pricing abstract analyzing the impact of pricing policies such as time of use tou is challenging in the presence of confounding factors such as weather motivated by a lack of consensus and model selection details in prior work we present a methodology for modelling the effect of weather on residential electricity demand the best model is selected according to explanatory power out of sample prediction accuracy goodness of fit and interpretability we then evaluate the effect of mandatory tou pricing in a local distribution company in southwestern ontario canada we use a smart meter dataset of over 20 000 households which is particularly suited to our analysis it contains data from the summer before and after the implementation of tou pricing in november 2011 and all customers transitioned from tiered rates to tou rates at the same time we find that during the summer rate season tou pricing results in electricity conservation across all price periods the average demand change during on peak and mid peak periods is 2 6 and 2 4 respectively changes during off peak periods are not statistically significant these tou pricing effects are less pronounced compared to previous studies underscoring the need for clear reproducible impact analyses which include full details about the model selection process

modelling aggregate domestic electricity demand in ghana an autoregressive distributed lag bounds cointegration approach in spite of the varying supply boosting efforts made by various governments to deal with the existing demand supply gap in the electricity sector the incessant growth in aggregate domestic electricity demand has made these efforts futile as an objective this paper attempts to identify the factors responsible for the historical growth trends in aggregate domestic electricity demand quantifying their effects both in the short run and long run periods using the ardl bounds cointegration approach and the sample period 1975 to 2005 in the long run real per capita gdp industry efficiency structural changes in the economy and degree of urbanisation are identified as the main driving force behind the historical growth trend in aggregate domestic electricity demand however in the short run real per capita gdp industry efficiency and degree of urbanisation are the main drivers of aggregate domestic electricity demand industry efficiency is the only factor that drives aggregate domestic electricity demand downwards however the negative efficiency effect is insufficient to have outweighed the positive income output and demographic effects hence the continual growth in aggregate domestic electricity demand as a policy option we recommend that appropriate electricity efficiency standards be implemented at the industry level

residential energy demand for space heating in the nordic countries accounting for interfuel substitution abstract reliable estimation of fuel consumption in residential sector is crucial for the future development of fuel supply system three approaches are compared in this study to capture climate impact as well as and interfuel substitution between fuels on residential fuel consumption for space heating in the nordic countries the first approach aims at directly estimating the demand for each energy carrier as a function of explanatory variables including heating degree days fuels price and gdp per capita the second approach is a two stage model combing an econometric model for total energy use for space heating and the market share for energy carriers based on cross price elasticities while in the third approach a set of simultaneous equations models were estimated based on the results of the mean average error and root mean square error criteria for three approaches across the nordic countries it was found that the second and third approaches were able to capture the complementary and substitution effects between fuels this finding confirms our hypothesis that the interfuel substitution is a key factor for estimating changes in fuel demand and should be accounted for when residential energy demand is projected the results additionally have important implications for climate change policy by exploring the impact of fuel price on residential energy demand for space heating

electricity consumption and economic growth a time series experience for 17 african countries abstract while the availability of electricity by itself is not a panacea for the economic and social problems facing africa the supply of electricity is nevertheless believed to be a necessary requirement for africa s economic and social development this paper tests the long run and causal relationship between electricity consumption per capita and real gross domestic product gdp per capita for 17 african countries for the period 1971 2001 using a newly developed cointegration test proposed by pesaran et al 2001 and using a modified version of the granger causality test due to toda and yamamoto 1995 the advantage of using these two approaches is that they both avoid the pre testing bias associated with conventional unit root and cointegration tests the empirical evidence shows that there was a long run relationship between electricity consumption per capita and real gdp per capita for only 9 countries and granger causality for only 12 countries for 6 countries there was a positive uni directional causality running from real gdp per capita to electricity consumption per capita an opposite causality for 3 countries and bi directional causality for the remaining 3 countries the result should however be interpreted with care as electricity consumption accounts for less than 4 of total energy consumption in africa and only grid supplied electricity is taken into account

income and price elasticities of electricity demand aggregate and sector wise analyses abstract cointegration and vector error correction modeling approaches are widely used in electricity demand analysis the study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in pakistan in the backdrop of severe electricity shortages our empirical findings give support to the existence of a stable long run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level at sectoral level long run income and price elasticity estimates follow this pattern except in agricultural sector where electricity demand is found elastic to output but inelastic to electricity price on the contrary the coefficients for income and price are rather small and mostly insignificant in the short run we employed temperature index price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables these variables account for most of the variations in electricity demand in the short run it shows that mechanization of the economy significantly affect the electricity demand at macro level moreover elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation

residential electricity demand in spain new empirical evidence using aggregate data this paper presents an empirical analysis on residential demand for electricity this analysis has been performed using aggregate panel data at the province level for 47 spanish provinces for the period from 2000 to 2008 for this purpose we estimated a log log demand equation for electricity consumption using a dynamic partial adjustment approach this dynamic demand function has been estimated using a two step system gmm estimator proposed by blundell and bond 1998 the purpose of this empirical analysis is to highlight some of the characteristics of spanish residential electricity demand particular attention has been paid to the influence of price income and weather conditions on electricity demand the estimated short and long run own price elasticities are negative as expected but lower than 1 furthermore weather variables have a significant impact on electricity demand

the political economy of an energy tax the united kingdom s climate change levy energy taxes designed to control energy consumption and to assist the achievement of climate change control targets under the kyoto protocol are fairly common in european union countries yet many of these taxes bear little resemblance to the design guidance that is given in economics textbooks political economy analysis in which the interaction of economics and political reality is emphasised explains the gap between theoretical ideals and practical reality a closer look at the factors that influence real world policy design should help policy oriented economists in designing measures that have a greater chance of adoption the end result may well be nth best solutions which simply have to be lived with but there may also be room for design improvements that still honour the political constraints of policy design this paper illustrates these issues in the context of one tax the uk climate change levy

forecasting risks of natural gas consumption in slovenia abstract efficient operation of modern energy distribution systems often requires forecasting future energy demand this paper proposes a strategy to estimate forecasting risk the objective of the proposed method is to improve knowledge about expected forecasting risk and to estimate the expected cash flow in advance based on the risk model the strategy combines an energy demand forecasting model an economic incentive model and a risk model basic guidelines are given for the construction of a forecasting model that combines past energy consumption data weather data and weather forecast the forecasting model is required to estimate expected forecasting errors that are the basis for forecasting risk estimation the risk estimation strategy also requires an economic incentive model that describes the influence of forecasting accuracy on the energy distribution systems cash flow the economic model defines the critical forecasting error levels that most strongly influence cash flow based on the forecasting model and the economic model the development of a risk model is proposed the risk model is associated with critical forecasting error levels in the context of various influential parameters such as seasonal data month day of the week and temperature the risk model is applicable to estimating the daily forecasting risk based on the influential parameters the proposed approach is illustrated by a case study of a slovenian natural gas distribution company

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

electricity consumption and economic growth bounds and causality analyses of opec members this paper investigates the relationship between electricity consumption and economic growth for opec members the bounds test yields evidence of a long run relationship between electricity consumption and economic growth for all opec members causality results suggest that economic growth is dependent on electricity consumption in five countries less dependent in three countries and independent in three countries because these countries do not necessarily share similar political and economic traits no single universal policy implication can be inferred from the results the disparities across these causality results therefore stress the importance of formulating causality explanations while taking into account the particularities of individual countries rather than blindly applying the conventional interpretations

linking financial development economic growth and energy consumption in pakistan abstract this paper aims at exploring the finance growth energy nexus for pakistan over the 1972 2012 period by employing the system gmm estimation technique the study tries to capture the impact of financial development over energy consumption through economic growth channel and includes energy prices and urbanization in the structural model the study finds positive and significant impact of economic growth and urbanization on energy consumption while the effect of energy prices over energy consumption is significant but negative financial development positively and significantly affects energy consumption through the economic growth channel our analysis is important for policy makers for effective energy demand planning and conservation policies that would ensure sustainable economic development as well as serve as motivation to search alternative energy sources to meet the bourgeoning energy demand in pakistan

an international literature survey on energy economic growth nexus evidence from country specific studies in this paper an extensive review of the rapidly growing in the literature on the nexus between economic growth and four types of energy consumption total energy consumption electricity consumption nuclear consumption and renewable consumption the various hypotheses associated with the causal interaction between these variables along with a survey of the empirical literature are also discussed the survey focuses on country coverage periods modeling techniques and empirical conclusions a general observation from these studies that results are found to be sensitive to methodology and type of energy considered the empirical results for the specific countries surveyed show that i for energy consumption growth nexus 29 supported the growth hypothesis 27 the feedback hypothesis 23 the conservation hypothesis and 21 the neutrality hypothesis ii for the electricity consumption growth nexus 40 supported the growth hypothesis 33 the feedback hypothesis and 27 conservation hypothesis iii for the nuclear consumption growth nexus 60 supported the neutrality hypothesis and 40 the growth hypothesis and iv for the renewable consumption growth nexus 40 supported the neutrality hypothesis 40 the conservation hypothesis and 20 the growth hypothesis these mixed results may be attributed to the different used data selected variables and econometric approaches undertaken

exploring the cost efficiency of basic research funding in chemistry abstract in this paper i estimate the efficiency of a federal agency s basic research support for chemistry efficiency here means output per dollar of agency investment there are two outputs citations and apprentices those being trained by work on a project i use a random sample of 93 nsf chemistry projects to find determinants of efficiency the data on each project come from recorded agency investigator transactions required by nsf s standard operating procedures differences in efficiency result from differences in resources available to the projects the characteristics of researchers and characteristics of the research environment overall statistical modeling shows that there are strong interactions between inputs purely linear additive models show poorer results than models with interaction terms some inputs such as an investigator s scientific experience and the labor intensity of projects affect citation and apprentice efficiency positively but in an interactive way for example the marginal impact of investigator experience on citation efficiency depends on the level of labor intensity however some inputs considered highly important by funding agencies and the scientific community do not turn up as consistently significant e g the quality of departments the results suggest that the input output structure of research projects is complex thus quantitative analysis needs to be sensitive to the potential importance of interactions and non linearities

the relationship between electricity consumption electricity prices and gdp in pakistan abstract this study analyzes the relationship among electricity consumption its price and real gdp at the aggregate and sectoral level in pakistan using annual data for the period 1960 2008 the study finds the presence of unidirectional causality from real economic activity to electricity consumption in particular growth in output in commercial manufacturing and agricultural sectors tend to increase electricity consumption while in residential sector growth in private expenditures is the cause of rising electricity consumption the study concludes that electricity production and management needs to be better integrated with overall economic planning exercises this is essential to avoid electricity shortfalls and unplanned load shedding

the diagnosis of an electricity crisis and alternative energy development in pakistan abstract the electricity sector in pakistan is currently facing the formidable challenges of an insufficient installed capacity a suboptimal infrastructure circular debt and revenue shortage all of these problems hamper socioeconomic activities this paper diagnoses the overall condition of the electricity sector as well as the potential and recent progress in the implementation of alternative energy projects in the context of the targets set in the national energy security plan nesp the assessment reveals the unsatisfactory overall progress of the implementation of the nesp in general and alternative energy in particular we assess that if the short term measures contained in the nesp have been adequately executed were enough to bridge the existing electricity supply demand gap and the country might not be facing an ongoing electricity crisis further we investigated the specific alternative energy policy issues that hinder this sector s development in pakistan we conclude that fuel diversification by means of the maximum utilisation of alternative energy resources would help in solving the crisis and would also furnish the long term energy needs of the country finally we recommend a comprehensive strategy for revamping the electricity sector and developing the alternative energy resources needed to tackle the ongoing electricity crisis in pakistan

the emergence of an educational tool industry opportunities and challenges for innovation in education the paper addresses two issues one concerns the general conditions and procedures involved in the emergence of a tool industry tool industries emerge and evolve as a collection of capital goods and tool inventors and manufacturers one of our goals is to use some of the works on historical cases to build a heuristic framework concerning the main conditions for the emergence and development of tool industries the other issue is more factual and involves the question whether a tool industry is today emerging in the area of education the paper describes the emergence of a population of firms specialised in developing and commercialising educational tools and instructional technologies and discuss whether this trend can be seen as part of the solution to the innovation deficit and cost disease problems in this sector

the non linear link between electricity consumption and temperature in europe a threshold panel approach this paper investigates the relationship between electricity demand and temperature in the european union we address this issue by means of a panel threshold regression model on 15 european countries over the last two decades our results confirm the non linearity of the link between electricity consumption and temperature found in more limited geographical areas in previous studies by distinguishing between north and south countries we also find that this non linear pattern is more pronounced in the warm countries finally rolling regressions show that the sensitivity of electricity consumption to temperature in summer has increased in the recent period

the fossil fuel industry s framing of carbon capture and storage faith in innovation value instrumentalization and status quo maintenance abstract drawing from the critical theory of herbert marcuse we expect that the fossil fuel industry will support carbon capture and storage ccs because it can further and prolong profitability in the industry through a qualitative analysis of fossil fuel company and trade organization framings of ccs three frames are identified 1 faith in innovation or the belief that any barrier that fetters technological solutions to environmental problems can be overcome 2 value instrumentalization or the predominance of instrumental values when justifying or explaining the benefits of technological solutions and 3 status quo maintenance or the application or anticipated application of technological solutions in order to reproduce the most fundamental processes and social structures that characterize modern societies frames tend to omit the following issues and concerns relevant to ccs 4 potential social and environmental risks risk minimization 5 non instrumental values value restriction and 6 possible future scenarios that are qualitatively different than a growing economy powered by increased energy throughput possibility blindness the potential climate and energy policy implications of these framings are analyzed and assessed

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

electricity consumption real gdp causality nexus evidence from a bootstrapped causality test for 30 oecd countries the goal of this paper is to examine any causal effects between electricity consumption and real gdp for 30 oecd countries we use a bootstrapped causality testing approach and unravel evidence in favour of electricity consumption causing real gdp in australia iceland italy the slovak republic the czech republic korea portugal and the uk the implication is that electricity conservation policies will negatively impact real gdp in these countries however for the rest of the 22 countries our findings suggest that electricity conversation policies will not affect real gdp

forecasting quantiles of day ahead electricity load accurate load forecasting plays a crucial role in the decision making process of many market participants but probably is most important for the dispatch planning of an electricity market operator despite the competitive forecast accuracy achieved by existing point forecast models point forecasts can only provide limited information relating to the expected level of future load to account for the uncertainty of future load and provide a more complete picture of the future load conditions for dispatch planning purposes quantile forecasts can be useful this paper proposes a computationally efficient approach to forecasting the quantiles of electricity load which is then applied to forecasting in the national electricity market of australia the proposed model performs competitively in comparison with one industry standard and two recently proposed quantile forecasting methods one of the main advantages of the proposed approach is the ease with the number of covariates can be expanded this is a particularly important feature in the context of load forecasting where large numbers of important drivers are usually necessary to provide accurate load forecasts

probabilistic forecasts of the magnitude and timing of peak electricity demand adequate capacity planning requires accurate forecasts of the future magnitude and timing of peak electricity demand electricity demand is affected by the day of the week seasonal variations holiday periods feast days and the weather a model that provides probabilistic forecasts of both magnitude and timing for lead times of one year is presented this model is capable of capturing the main sources of variation in demand and uses simulated weather time series including temperature wind speed and luminosity for producing probabilistic forecasts of future peak demand having access to such probabilistic forecasts provides a means of assessing the uncertainty in the forecasts and can lead to improved decision making and better risk management

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

effect of stopping hydroelectric power generation on the dynamics of electricity prices an event study approach abstract supply shocks in electricity markets that disrupt energy production cause unexpected spikes in prices which in turn have economic consequences such as higher risk and therefore higher costs and losses for producers and consumers of electricity one relevant shock in this sector is the halting of hydroelectric power generation due to the freezing of water reservoirs after the temperature drops below zero degrees celsius and therefore less efficient technologies such as thermal plants must begin to produce electricity using an event study approach this shock in the nord pool market is explicitly identified and the economic importance of expanding the interconnected market and the inclusion of more renewable sources in the generation mix of the system to smooth out price spikes is quantified when a freezing event occurs it is found that the average electricity prices increase between 1 and 6 and that the negative relationship between temperature and prices also increases for each degree that the temperature decreases prices increase between 1 and 3 however as expected these changes are more pronounced in countries that are most dependent on hydropower generation by identifying this supply shock relevant insights are presented for market players such as policy makers investors and consumers and producers whose decisions are influenced by the effect of temperature particularly when it causes the stopping of hydroelectric plants

an overview of energy status and development in pakistan abstract energy is the basic necessity for life and a key factor to excel a country s economy pakistan despite being richly blessed with natural energy resources is dependent on foreign sources and is currently facing severe energy deficiency at the time of its independence in 1947 pakistan inherited 60 mw of power the energy sector had made some progress in the beginning but unfortunately the growth in positive curve couldn t last long the dilemma of the ever increasing gap between demand and supply has rendered pakistan an energy deficient country where most the people have none or limited access to electricity this paper gives an overview of the energy status of pakistan in this paper i have discussed a major aspects of energy sector of pakistan its establishment history and accomplishments b various institutions for energy generation and distribution c total installed and generation capacity d current energy reserves in the country such as coal oil natural gas nuclear energy as well as the renewable energy resources which include wind energy biogas hydel energy geothermal energy solar energy tidal and wave energy e current energy crisis in the power sector discussing the key issues leading to the origin causes and consequences of the problem the paper also presents f possible solutions to overcome this crisis which is becoming hazardous for the country s economy the various government semi government and private organizations and their efforts to resolve the situation of energy deficit and g renewable energy can provide an alternative form of energy why and how it can provide better replacement of other forms of energy barriers that halt progress in this area and various renewable energy projects have also been illustrated the goals principles and impacts of the national power policy 2013 is also mentioned in this paper

sectoral analysis of the causal relationship between electricity consumption and real output in pakistan this study uses the annual data from 1972 to 2010 to assess the causal relationship between electricity consumption and real output at the aggregate and sectoral levels in pakistan this study covers three main economic sectors in pakistan namely agricultural manufacturing and services sectors our cointegration results reveal that the variables are cointegrated at the aggregate and sectoral levels at the aggregate level we find that there is uni directional granger causality running from electricity consumption to real output in pakistan at the sectoral level we find that electricity consumption granger causes real output in the manufacturing and services sectors however there is no causal relationship between electricity consumption and real output in the agricultural sector the policy implication of these results is that electricity conservation policies in general would deteriorate the process of economic growth as well as the real output in the manufacturing and services sectors in pakistan nevertheless we suggest the pakistani government to implement the electricity conservation policies merely to the agricultural sector because such policies may have less or no adverse impact on its real output

forecasting scenarios for uk household expenditure and associated ghg emissions outlook to 2030 using the modelling tool elesa econometric lifestyle environment scenario analysis this paper describes forecast scenarios to 2030 for uk household expenditure and associated direct and indirect greenhouse gas ghg emissions for 16 expenditure categories using assumptions for real household disposable income real prices exogenous non economic factors exnef average uk temperatures and ghg intensities three future scenarios are constructed in each scenario real expenditure for almost all categories of uk expenditure continues to grow up to 2030 the exceptions being alcoholic beverages and tobacco and other fuels and gas and electricity in the low scenario leading to an increase in associated ghg emissions for most of the categories in the reference and high scenarios other than food and non alcoholic beverages alcoholic beverages and tobacco electricity other fuels and recreation and culture of the future ghg emissions about 30 is attributed to direct energy use by households and nearly 70 attributable to indirect energy uk policy makers therefore need to consider a range of policies if they wish to curtail emissions associated with household expenditure including for example economic measures such as taxes alongside measures that reflect the important contribution of exnef to changes in expenditure for most categories of consumption

testing functional forms in energy modeling an application of the bayesian approach to u s electricity demand abstract in the estimation of demand functions for energy resources linear log linear translog or aids functional forms are commonly assumed it is frequently debated which is the best functional forms to employ in order to accurately represent the underlying relationships between the consumption of various energy resources and explanatory variables such as energy prices weather variables income and other factors in an example analysis of residential energy demand employing cross sectional household level data we find that the aids model is slightly better than the translog model which is superior to the log linear model and which in turn is better than the linear model this is in sharp contrast to previous findings in this context

the demand for energy in the large scale manufacturing sector of pakistan abstract the extent of interfuel substitution as well as substitution between energy and non energy inputs in the large scale manufacturing sector of pakistan has been examined the model has been estimated in two stages in the first stage input demand for various energy components is estimated and hence an aggregate divisia index is constructed in the second stage this index is used as an instrument to estimate aggregate input demand for capital labour and energy along with their price and substitution elasticities it seems that there is little interfuel substitution the results also show that energy and labour are substitutes while energy and capital are complement

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

modeling special day effects for forecasting intraday electricity demand abstract we propose and apply a novel approach for modeling special day effects to predict electricity demand in korea notably we model special day effects on an hourly rather than a daily basis hourly specified predictor variables are implemented in the regression model with a seasonal autoregressive moving average sarma type error structure in order to efficiently reflect the special day effects the interaction terms between the hour of day effects and the hourly based special day effects are also included to capture the unique intraday patterns of special days more accurately the multiplicative sarma mechanism is employed in order to identify the double seasonal cycles namely the intraday effect and the intraweek effect the forecast results of the suggested model are evaluated by comparing them with those of various benchmark models for the following year the empirical results indicate that the suggested model outperforms the benchmark models for both special and non special day predictions

on the power of indicators how the choice of fuel poverty indicator affects the identification of the target population in light of the creation of the eu energy poverty observatory epov in january 2018 and the increase in debates on how fuel poverty is measured we propose a critical analysis of fuel poverty indi

estimation of tourism induced electricity consumption the case study of balearics islands spain tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities especially to climate change various studies have started to estimate and compute the role of the different tourism sectors contributions to greenhouse gas ghg emissions these estimations have been made from a sectoral perspective assessing the contribution of air transport the accommodation sector or other tourism related economic sectors however in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way this paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the balearic islands spain using a conventional daily electricity demand model including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated the results show that in terms of electricity consumption tourism cannot be considered a very energy intensive sector

industrial electricity demand for turkey a structural time series analysis abstract this research investigates the relationship between turkish industrial electricity consumption industrial value added and electricity prices in order to forecast future turkish industrial electricity demand to achieve this an industrial electricity demand function for turkey is estimated by applying the structural time series technique to annual data over the period 1960 to 2008 in addition to identifying the size and significance of the price and industrial value added output elasticities this technique also uncovers the electricity underlying energy demand trend uedt for the turkish industrial sector and is as far as is known the first attempt to do this the results suggest that output and real electricity prices and a uedt all have an important role to play in driving turkish industrial electricity demand consequently they should all be incorporated when modelling turkish industrial electricity demand and the estimated uedt should arguably be considered in future energy policy decisions concerning the turkish electricity industry the output and price elasticities are estimated to be 0 15 and 0 16 respectively with an increasing but at a decreasing rate uedt and based on the estimated equation and different forecast assumptions it is predicted that turkish industrial electricity demand will be somewhere between 97 and 148 twh by 2020

an empirical analysis of electricity consumption in cyprus abstract the paper presents the first empirical analysis of electricity consumption in cyprus using annual data from 1960 to 2004 we have examined electricity use in the residential and the services sectors which are the fastest growing electricity consumers in the island and its interaction with income prices and the weather the analysis was performed with the aid of time series analysis techniques such as unit root tests with and without a structural break in levels cointegration tests vector error correction models granger causality tests and impulse response functions results show long term elasticities of electricity use above unity for income and of the order of 0 3 to 0 4 for prices in the short term electricity consumption is rather inelastic mostly affected by weather fluctuations granger causality tests confirm exogeneity of electricity prices and bidirectional causality between residential electricity consumption and private income the commercial sector is less elastic and reverts faster to equilibrium than the residential sector despite the relatively small sample size results reported here are quite robust and can be used for forecasts and policy analyses

impact of temperature on electricity demand evidence from delhi and indian states abstract electricity for cooling improves health and quality of life and is an important mode of adapting to extreme weather conditions and to climate change this study measures the change in electricity demand in response to weather shocks at the household level in delhi and at various aggregate levels in india our econometric analysis uses a semi parametric model to capture the nonlinearity of short run temperature response on average aggregate electricity demand in india increases by 11 or more at temperatures above 30 c from demand at temperatures of 21 24 c with substantial heterogeneity across states aggregate demand in delhi increases by 30 or more at temperatures above 30 c using rich micro data on electricity demand in delhi we do a first of its kind estimation of household level temperature response we find evidence that low income consumers especially those living in slums show limited incremental response to high temperatures likely due to an absence of cooling options these findings underscore the need to improve our understanding of the constraints posed by poverty on climate change adaptation and for interventions to mitigate risks of heat stress among the poor this also suggests rising affluence will lead to sharp increases in electricity demand for cooling

spot price modeling and the valuation of electricity forward contracts the role of demand and capacity we propose a model where wholesale electricity prices are explained by two state variables demand and capacity we derive analytical expressions to price forward contracts and to calculate the forward premium we apply our model to the pjm england and wales and nord pool markets our empirical findings indicate that volatility of demand is seasonal and that the market price of demand risk is also seasonal and positive both of which exert an upward seasonal pressure on the price of forward contracts we assume that both volatility of capacity and the market price of capacity risk are constant and find that depending on the market and period under study it could either exert an upward or downward pressure on forward prices in all markets we find that the forward premium exhibits a seasonal pattern during the months of high volatility of demand forward contracts trade at a premium during months of low volatility of demand forwards can either trade at a relatively small premium or even in some cases at a discount i e they exhibit a negative forward premium

oil price effects on personal consumption expenditures abstract this paper uses a logistic smooth transition model to examine the impact of rising oil prices on personal consumption expenditures in open and industrialized economies the empirical results suggest a nonlinear and asymmetric relation between oil price changes and personal consumption expenditures in particular the effects of rising oil prices on personal consumption expenditures are greater than those of falling oil prices while oil price changes affect personal consumption expenditures via real balance effects smooth transition effects also come into play below a threshold value an increase in oil prices reduces personal consumption expenditures in other words in the face of uncertainty regarding future oil prices consumers initially rationally postpone spending however once oil prices above the threshold after a prolonged upward trend the prices of domestic production factors rise this fuels continued price hikes and further increases personal consumption expenditures until a cost pushed inflation takes hold due to differences in economic developments and structures the effects of rising oil prices vary from one country to another with different countries usually to different monetary policies from each other as a result personal consumption expenditures also show various patterns across countries

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

the dynamics of electricity demand in pakistan a panel cointegration analysis abstract this paper examines the dynamics of electricity demand in pakistan at the aggregate and sectoral levels over the period 1978 2012 panel cointegration test and fully modified ordinary least squares method is employed to determine the long run relationship between electricity consumption real income real price of electricity and domestic price of non energy products the results reveal that electricity demand is more responsive to changes in income than changes in prices at the aggregate and disaggregate levels short run and long run income elasticities are positive and statistically significant supporting the conservation hypothesis it appears from the results that long run price elasticities are negative and significant at the aggregate level and for the agriculture commercial residential sectors and public utilities the short run price elasticities are significant but low in magnitude which implies that changes in electricity price exert minimal effect on the electricity consumption in pakistan the domestic price of non energy products is positive and significant for aggregate sample in the short run the domestic price of non energy products exert significant negative positive impact on electricity demand in the agriculture industrial sectors the results thus provide important information to the agents operating in the electricity market regarding the income and pricing policies and helps in planning the future strategy of electricity demand management

production and innovation when techniques are tacit the case of education abstract the central theme of this paper is that the conventional economic theory of production does not hold even approximately in a field like education after examining the result of input output studies in education and the effect of government attempts to enhance education effectiveness we provide a sketch of a new production theory for sectors where techniques are poorly articulated and idiosyncratic

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

the economics of schooling production and efficiency in public schools n recent years public and professional interest in schools has been heightened by a spate of reports many of them critical of current school policy these policy documents have added to persistent and long standing concerns about the cost effectiveness and fairness of the current school structure and have made schooling once again a serious public issue as in the past however any renewed interest in education is likely to be short lived doomed to dissipate as frustration over the inability of policy to improve school practice sets in this frustration about school policy relates directly to knowledge about the educational production process and in turn to underlying research on schools although the educational process has been extensively researched clear policy prescriptions flowing from this research have been difficult to derive 2 there exists however a consistency to the research findings that does have an immediate application to school policy schools differ dramatically in quality

modelling electricity demand in ghana revisited the role of policy regime changes as policy regime changes demand elasticities are unlikely to be constant since individuals change how they form their expectations and this will change the estimated decision rules in this paper the time varying nature of electricity demand elasticities prior to and post the economic reform period in ghana is analysed using the fm ols three different sample periods pre reform post reform and full period was used in the analysis the result from the full sample period revealed that in the long run electricity demand is significantly affected by industry efficiency industry value added and real per capita gdp urbanization rate however has no significant effect the pre reform estimate showed lower income output and urbanization elasticities but higher industry energy efficiency elasticity relative to the post reform period this suggests that technological change in the pre reform period has been energy saving whilst technological change in the post reform period has been energy consuming the result further showed evidence of changing structure of the economy from the more energy intensive sector to the less energy intensive sector after the reform government should renew her effort in promoting energy saving technologies in the industrial sector and adjust the industrial structure to encourage the expansion of low energy intensive industries or high technology efficient industries

abatement and allocation in the pilot phase of the eu ets we use historical industrial emissions data to assess the level of abatement and over allocation that took place across european countries during the pilot phase 2005 2007 of the european union emission trading scheme using a dynamic panel data model we estimate the counter factual business as usual emissions scenario for eu member states comparing this baseline to allocated and verified emissions we find that both over allocation and abatement occurred along with under allocation and emissions inflation over the three trading years of the pilot phase we find over allocation of approximately 280 million euas and total abatement of 247 mt co2 however we calculate that emissions inflation of approximately 73 mt co2 also occurred possibly due to uncertainty about future policy design features

a review of time use models of residential electricity demand residential electricity demand in most european countries accounts for a major proportion of overall electricity consumption the timing of residential electricity demand has significant impacts on carbon emissions and system costs this paper reviews the data and methods used in time use studies in the context of residential electricity demand modelling it highlights key issues which are likely to become more topical for research on the timing of electricity demand following the roll out of smart metres

energy consumption and gdp causality a three step analysis for emerging european countries abstract the established european targets should play a leading role in the complex economic process of energy consumption and the emerging countries have to consider their implications for adjusting the energy policies at national level this paper develops investigations on the causality relationship between energy consumption and gdp in the context of emerging european countries covering the period 1980 2013 this research covers the limits identified by previous researchers by detailing the energy consumption by sources and by referring to five emerging countries in europe unlike most of the previous studies it has a double approach long and short run bidirectional relationships a detailed analysis on the impact of economic growth on the energy consumption by country is conducted in order to contribute to the enrichment of the research field towards this objective a three step analysis is performed stationarity cointegration and causality tests are considered the empirical study shows mixed results there is a balance in confirming conservation growth and neutrality hypotheses in some specific cases results imply that energy consumption and economic growth are jointly determined however a comparative analysis for different significance levels draws attention on the differences in judgment of results for this type of studies discussions on the results in terms of causality are conducted in order to identify future trends for research

co2 capture and storage another faustian bargain abstract a quarter century ago one of us termed the use of nuclear energy a faustian bargain in this paper we discuss what a faustian bargain means how the expression has been used in characterizing other technologies and in what measure co 2 capture and storage is a faustian bargain if we are about to enter into another faustian bargain we should understand the contract

regional impact of changes in disposable income on spanish electricity demand a spatial econometric analysis this paper presents an empirical analysis of residential electricity demand considering the existence of spatial effects this analysis has been performed using aggregate panel data at the province level for 46 spanish provinces for the period from 2001 to 2010 for this purpose we estimated a log log demand equation using a spatial autoregressive model with autoregressive disturbances sarar the purpose of this empirical analysis is to determine the influence of price income and spatial spillovers on residential electricity demand in spain we are particularly interested in analyzing the impact of household disposable income variation across provinces observed during the economic crisis period 2009 2010 the estimation results show relatively low income elasticity and an inelastic demand to prices furthermore the results show the presence of spatial effects in spanish residential electricity consumption

indications for a changing electricity demand pattern the temperature dependence of electricity demand in the netherlands abstract this study assesses the electricity demand pattern in the relatively temperate climate of the netherlands latitude 52 30 n daily electricity demand and average temperature during the period from 1970 until 2007 are investigated for possible trends in the temperature dependence of electricity demand we hypothesize that the increased use of cooling applications has shifted the temperature dependence of electricity demand upwards in summer months our results show significant increases in temperature dependence of electricity demand in may june september october and during the summer holidays during the period studied temperature dependence in these months has shifted from negative to positive meaning that a higher temperature now leads to an increased electricity demand in these months rather than a decreased demand as observed historically although electricity demand in countries with moderate summer temperatures such as the netherlands generally peaks in winter months and shows a minimum in summer months this trend may signal the development of an additional peak in summer especially given the expected climatic change as power generating capacity may be negatively influenced by higher temperatures due to decreasing process cooling possibilities an increasing electricity demand at higher temperatures may have important consequences for power generation capacity planning and maintenance scheduling

residential energy demand in the united states analysis using static and dynamic approaches abstract the residential sector is the main consumer of energy in the united states and reducing energy consumption is an important goal for policymakers in each state to know how reducing residential energy demand could be achieved this study develops a set of static and dynamic models to investigate and identify the impact of socio economic and demographic characteristics building age energy prices and weather conditions on residential energy demand at the state level from 2005 to 2013 next this study proposes two alternative scenarios to reduce residential energy demand based on the most precise model for every 10 000 dollars of per capita income in each state 1 increasing residential electricity price by 1 cent per kw h and 2 decreasing average building age by 1 in the first scenario the findings indicate that annual residential electricity demand would decrease by 7 3 on average with the highest reductions in washington 11 9 north dakota 10 9 and idaho 9 7 in the second scenario residential gas demand would decrease by an average of 15 8 annually with the highest reduction in connecticut 33 2 followed by new york 33 0 and massachusetts 30 7 these proposed scenarios assist policymakers in optimizing decisions and investments to reduce residential energy consumption

assessment of present conventional and non conventional energy scenario of pakistan abstract it has become the universal fact that the energy is one of the key factors for the smooth and faster upgradation of the socio economic activities in any country in pakistan s history of over 60 years the country presently is facing possibly the worst energy crisis that has geared back the socio economic development below the level of critical sustainability and tolerance of the people every walk of life and industrial activities have declined due to long electricity shut down every day since last few years in view to access the current status of available energy resources the present research study has been carried out to review and assess the demography of the country versus energy sectors energy supplies consumptions status of fossil fuel resources oil gas coal conventional non conventional electricity generation and past present future energy demand supply during 2001 2011 the results of this assessment indicate that conventional resources in pakistan are and will not be enough to meet the ever growing energy demand and consequently highlight the importance of the renewable energy sources that are apparently encouraging in the country but have not been developed to any satisfaction priority is imperative to be given for the adequate development of renewable energy sectors in addition to the present energy mix

the determinants of international reserves in the emerging countries a nonlinear approach in this article we adopt a nonlinear approach to examine the dynamics of the international reserves holdings by the emerging economies to do so we estimate the demand for international reserves with a panel smooth transition regression pstr model that loosens two restricting hypotheses homogeneity and time stability we find evidence for the presence of a nonlinear behaviour in the demand for international reserves a result that is new to the literature the coefficients are found to change smoothly as a function of two threshold variables out of five candidates tested in total our specification accounts for the acceleration of foreign exchange reserves accumulation that the linear specifications fail to explain

congestion management rules and trading strategies in the spanish electricity market abstract this paper analyses the economic incentives embodied in the rules governing the resolution of transmission constraints in the spanish wholesale electricity market and the way these incentives may have influenced on the trading behaviour of both the generators and the demand side the evidence obtained is consistent with them responding to these incentives in particular buyers would respond to the way congestion costs are billed to them by abandoning the daily market in favour of the intraday market as far as possible additionally some strategic generators may have been prompted the system operator to require them to inject electricity into the system to solve network congestions finally these results may contribute to shed light on what should be expected of the reform in the aforementioned rules

estimation of elasticity price of electricity with incomplete information abstract the sharp increase in energy prices and growing concern for environmental issues among other things are behind the renewed interest in energy demand estimation however there is scarce academic literature that takes real situation of energy suppliers into account high quality but incomplete data in this paper we propose a useful and rather simple instrument for estimating electricity demand with the incomplete and or imperfect data currently available to suppliers in particular using real expenditure and consumption data on electricity we employ a model of random effects for panel data to estimate residential and industrial electricity demand in spain

electricity demand elasticities and temperature evidence from panel smooth transition regression with instrumental variable approach abstract this study applies a non linear model i e the recently developed panel smooth transition regression pstr model and takes into account the potential endogeneity biases to investigate the demand function of electricity for 24 oecd countries from the period 1978 2004 our empirical results demonstrate that there is a strongly non linear link among electricity consumption real income electricity price and temperature a result that is new to the literature as real income rises electricity consumption rapidly increases first and after the level of real income exceeds approximately us 2500 its increasing rate turns slow down an increase in electricity price has a negative or no influence on electricity consumption evidence of a u shaped relationship between electricity consumption and temperature is supported and the threshold value of temperature is approximately 53 f which is endogenously determined furthermore the estimated elasticities of time dynamic indicate that electricity demand is income inelastic price inelastic and temperature inelastic as time goes on the absolute elasticities of electricity demand gradually decrease with respect to real gdp and electricity price whereas they gradually increase with respect to temperature suggesting that the impact of temperature on electricity demand is becoming more important in recent years

prediction of daily peak electricity demand in south africa using volatility forecasting models abstract daily peak electricity demand forecasting in south africa using a seasonal autoregressive integrated moving average sarima model a sarima model with generalized autoregressive conditional heteroskedastic sarima garch errors and a regression sarima garch reg sarima garch model is presented in this paper the garch modeling methodology is introduced to accommodate the possibility of serial correlation in volatility since the daily peak demand data exhibits non constant mean and variance and multiple seasonality corresponding to weekly and monthly periodicity the proposed reg sarima garch model is designed in such a way that the predictor variables are initially selected using a multivariate adaptive regression splines algorithm the developed models are used for out of sample prediction of daily peak demand a comparative analysis is done with a piecewise linear regression model results from the study show that the reg sarima garch model produces better forecast accuracy with a mean absolute percent error mape of 1 42

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

is the long run relationship between economic growth electricity consumption carbon dioxide emissions and financial development in gulf cooperation council countries robust the relationship between carbon dioxide emissions economic growth electricity consumption and financial development in the gulf cooperation council gcc countries is investigated in this study using panel data for the period of 1980 2012 a number of econometric techniques dynamic ordinary least squares dols fully modified ordinary least squares fmols and the dynamic fixed effect model dfe are applied in order to estimate the long run relationship between the variables the long run relationship is found to be robust across these different econometric specifications no significant short run significant relationship was observed electricity consumption and economic growth have a positive long run relationship with carbon dioxide co2 emissions whilst a negative and significant relationship was found between co2 emissions and financial development the findings imply that electricity consumption and economic growth stimulate co2 emissions in gcc countries while financial development reduces it granger causality results reveal that there is a bidirectional causal link between economic growth and co2 emissions and a unidirectional causal link running from electricity consumption to co2 emissions however there is no causal link between financial development and co2 emissions also impulse response and variance decomposition analysis outline forecasted impacts of economic growth and electricity consumption on future co2 emissions

electricity demand for south korean residential sector abstract this study estimates the electricity demand function for the residential sector of south korea with the aim of examining the effects of improved energy efficiency structural factors and household lifestyles on electricity consumption in the study time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long term price and income elasticities and annual growth of underlying energy demand trend uedt at the end of the estimation period the result shows a long term income elasticity of 1 33 and a long term price elasticity of 0 27 with 0 93 as the percentage growth of uedt at the end of the estimation period this result suggests that in order to encourage energy efficiency in the residential sector the government should complement the market based pricing policies with non market policies such as minimum energy efficiency standards and public enlightenment

chaos in power pakistan s electricity crisis abstract pakistan is facing a severe electricity crisis due to a persistent and widening gap between demand and available system generating capacity the worsening of power shortages has become a major political issue reflecting the hardships for individuals and businesses it threatens to undermine the credibility and legitimacy of government and to further stress the social fabric of the country the power crisis did not emerge suddenly it is the direct result of imprudent and reckless energy policies over the last three decades these policies have impeded the development of cheap and abundant domestic energy sources they have also resulted in very inefficient fuel mix choices compromising energy and economic security pakistan s energy bankruptcy is ultimately due to massive institutional and governance failure this paper analyzes the problems confronting pakistan s electricity sector and identifies the key elements of a potential policy response to address the country s severe power crisis

modeling energy demand some emerging issues abstract the proliferation of papers on energy demand modeling has offered different dimensions both in terms of methodology and estimation while this development has strengthened our understanding of the subject it may render the identification of gaps in the literature arduous for future research thus this study sets out to document some emerging issues that seem to have engendered new directions on energy demand modeling ranging from asymmetric price responses time varying demand parameters triangulation analyses to seasonal and climate change effects it is hoped that access to this review complemented with the previous ones will facilitate the comprehension of the extant literature as well as areas of future research in energy demand modeling

the electricity consumption versus economic growth of the polish economy abstract the aim of this contribution is an investigation of causal interdependences between electricity consumption and gdp in poland our research was conducted for total electricity consumption as well as for the industrial consumption of electricity in order to reflect the causality between gdp and electricity consumption properly we performed our investigations in a three dimensional framework with employment chosen as an additional variable we used reliable quarterly data from the period q1 2000 q4 2009 in order to check the stability of the causalities the investigations were performed on two samples a full sample and a pre crisis i e q1 2000 q3 2008 subsample we applied both traditional methods and some recently developed econometric tools we found feedback between total electricity consumption and gdp as well as between total electricity consumption and employment we also found unidirectional causality running from industrial electricity consumption to employment and no direct causal links between industrial electricity consumption and gdp in addition all these findings were in general not seriously affected by the financial and economic crises of 2008 a significant exception is the causal effect of industrial electricity consumption on employment which was more pronounced after the crisis of 2008

electricity demand analysis and forecasting a panel cointegration approach abstract this article analyzes the demand for electricity and provides out of sample forecasting at the sectoral level using a panel cointegration approach the econometric model permits cross sectional heterogeneity within a dynamic framework that incorporates information on relevant income and prices of domestic and foreign goods both the short run dynamics and the long run slope coefficients are allowed to vary across cross sections also the testing for unit roots and cointegration in panels allows for heterogeneous fixed effects and deterministic trends using egyptian data it is shown that the empirical model produces reliable ex post forecasts near the end of the full sample period these pseudo forecasts are representative of what one would expect if the forecasting relationship is stationary the long run parameter estimates are then used to conduct ex ante forecasting under plausible assumptions for policy making

short run electricity load forecasting with combinations of stationary wavelet transforms short term forecasting of electricity load is an essential issue for the management of power systems and for energy trading specific modeling approaches are needed given the strong seasonality and volatility in load data in this paper we investigate the benefit of combining stationary wavelet transforms to produce one day ahead forecasts of half hourly electric load in france first we assess the advantage of decomposing the aggregate load into several subseries with a wavelet transform each component is predicted separately and aggregated to get the final forecast one innovation of this paper is to propose several approaches to deal with the boundary problem which is particularly detrimental in electricity load forecasting second we examine the benefit of combining forecasts over individual models an extensive out of sample evaluation shows that a careful treatment of the border effect is required in the multiresolution analysis combinations including the wavelet predictions provide the most accurate forecasts this result is valid with several assumptions about the forecast error in temperature and for different types of hours peak normal off peak different days of the week and various forecasting periods

energy models for demand forecasting a review abstract energy is vital for sustainable development of any nation be it social economic or environment in the past decade energy consumption has increased exponentially globally energy management is crucial for the future economic prosperity and environmental security energy is linked to industrial production agricultural output health access to water population education quality of life etc energy demand management is required for proper allocation of the available resources during the last decade several new techniques are being used for energy demand management to accurately predict the future energy needs in this paper an attempt is made to review the various energy demand forecasting models traditional methods such as time series regression econometric arima as well as soft computing techniques such as fuzzy logic genetic algorithm and neural networks are being extensively used for demand side management support vector regression ant colony and particle swarm optimization are new techniques being adopted for energy demand forecasting bottom up models such as markal and leap are also being used at the national and regional level for energy demand management

electricity consumption growth nexus evidence from panel data for transition countries abstract this paper investigates the long run relationship and causality issues between electricity consumption and economic growth in 15 transition countries albania belarus bulgaria czech republic estonia latvia lithuania macedonia moldova poland romania russian federation serbia slovak republic and ukraine by using the pedroni panel cointegration method for the 1990 2006 period results suggest that the pedroni panel cointegration tests do not confirm a long term equilibrium relationship between electricity consumption per capita and real gdp per capita moreover since no cointegration was found error correction mechanisms plus causality tests cannot be run for further steps in the long term to investigate the causality between electricity consumption and economic growth overall it can be said that the electricity consumption related policies have no effect or relation on the level of real output in the long run for these countries as a conclusion the literature has conflicting results and there is no consensus either on the existence or the direction of causality between electricity consumption and economic growth thus the findings of this study have important policy implications and it shows that this issue still deserves further attention in future research

conflicts over carbon capture and storage in international climate governance abstract in the paris agreement ambitious emission targets are accompanied by insufficient mitigation measures it lacks in particular strategies on how to reduce the use of fossil fuels in this context the distinctive prospect of carbon capture and storage ccs reducing emissions albeit using fossil fuels on a large scale is of particular interest ccs technologies promise to solve the climate problem independent of drawn out political disputes and without changing production and consumption patterns conflicts about ccs put the fundamental debate on the agenda whether a comprehensive transformation of social structures is un necessary and un desired in order to solve the ecological crisis therefore in this paper ccs conflicts are analyzed with a broader perspective including their effects on general struggles about international climate governance the key research question is to what extent established social practices and structures become politicized i e challenged based on the presented empirical findings i discuss two theses first that the future of climate governance is contingent on decisions about the continued use of fossil fuels second that ccs conflicts have an explosive force that could lead to massive cracks within the paradigm of ecological modernization and thus could politicize international climate policy

stochastic factor model for electricity spot price the case of the nordic market this paper presents a stochastic factor based approach to mid term modeling of spot prices in deregulated electricity markets the fundamentals affecting the spot price are modeled independently and a market equilibrium model combines them to form spot price main advantage of the model is the transparency of the generated prices because each underlying factor and the dynamics between factors can be modeled and studied in detail paper shows realistic numerical examples on the forerunner scandinavian electricity market the model is used to price an exotic electricity derivative

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

temperature and seasonality influences on spanish electricity load abstract deregulation of the spanish electricity market in 1998 and the possible listing of electricity or weather derivative contracts have encouraged the study of the relationship between electricity demand and weather in spain in this paper a transfer function intervention model is developed for forecasting daily electricity load from cooling and heating degree days the influence of weather and seasonality is proved and is significant even when the autoregressive effects and the dynamic specification of the temperature are taken into account the estimated general model shows a high predictive power the results and information presented in this paper could be of interest for current users and potential traders in the deregulated spanish electricity market

trivariate causality between economic growth urbanisation and electricity consumption in angola cointegration and causality analysis abstract this paper investigates the causal relationship between economic growth urbanisation and electricity consumption in the case of angola while utilizing the data over the period of 1971 2009 we have applied lee and strazicich 2003 the review of economics and statistics 63 1082 1089 2004 working paper department of economics appalachian state university unit root tests to examine the stationarity properties of the series using the gregory hansen structural break cointegration procedure as a complement we employ the ardl bounds test to investigate long run relationships the vecm granger causality test is subsequently used to examine the direction of causality between economic growth urbanisation and electricity consumption our results indicate the existence of long run relationships we further observe evidence in favour of bidirectional causality between electricity consumption and economic growth the feedback hypothesis is also found between urbanisation and economic growth urbanisation and electricity consumption granger cause each other we conclude that angola is energy dependent country consequently the relevant authorities should boost electricity production as one of the means of achieving sustainable economic development in the long run

electricity consumption growth nexus the case of malaysia abstract the goal of this paper is to model the relationship between electricity consumption and real gross domestic product gdp for malaysia in a bivariate and multivariate framework we use time series data for the period 1971 2003 and apply the bounds testing approach to search for a long run relationship our results reveal that electricity consumption real gdp and price share a long run relationship the results of the autoregressive distributed lag ardl estimates of long run elasticity of electricity consumption on gdp are found to be around 0 7 and statistically significant finally in the short run the results of the causality test show that there is a unidirectional causal flow from electricity consumption to economic growth in malaysia from these findings we conclude that malaysia is an energy dependent country leading us to draw some policy implications this paper adds support and validity thus reducing the policy makers concern on the ambiguity of the electricity and growth nexus in malaysia

combining momentum with reversal in commodity futures this paper examines profitable trading strategies that jointly exploit momentum and reversal signals in commodity futures while the single sort momentum strategies returns 11 14 per annum on average a consistent reversal pattern of momentum profits is pronounced from 12 to 30 months after portfolio formation combining the observed reversal pattern with the momentum signal our double sort strategy returns 20 24 per annum which significantly outperforms single sort strategies the proposed strategy is robust to seasonality effects and sample adjustments in commodity futures the profitability of the double sort strategy cannot be explained by standard risk factors term structure market volatility investor sentiment data mining or transaction costs but appears to be related to global funding liquidity as a consequence the double sort strategy in commodity futures may be employed as a portfolio diversification tool

does daylight saving time save electricity evidence from slovakia abstract the european union has recently decided to stop the policy of biannual clock changes in 2021 one reason is that the original rationale for the policy energy savings is not supported by a large portion of recent empirical studies whether the new permanent time will be standard time or the former daylight saving time has not been decided evidence on energy savings from daylight saving time is country specific and each country may choose its own time we examine the effects of the policy in a country for which no studies on daylight saving exist slovakia using hourly data from the 2010 2017 period we apply a difference in differences approach and estimate energy savings to equal 1 of annual electricity consumption alternatively extrapolating the effect from the results of a previous meta analysis on different countries for slovakia we obtain a smaller estimate unlikely to exceed 0 5 moreover our findings suggest that daylight saving time smooths the electricity demand curve