explaining business cycles in small open economies abstract this paper analyzes the role of world price shocks fluctuations in the prices of capital intermediate and primary goods and in the world real interest rate in the generation and propagation of business cycles in small open developing countries i construct a stochastic dynamic multi sector small open economy model the model is a variant of the specific factors model and reflects the major structural characteristics of developing economies i utilize variance decomposition methods to quantitatively evaluate the impact of world price shocks the results indicate that world price shocks account for a significant fraction of business cycle variability in developing countries

fuel consumption for road transport in the usa abstract this study provides both a historical analysis of fuel demand for road transport and an example of using econometric results for projections fuel consumption by all motor vehicles in the usa has been analysed by splitting total demand into passenger car truck and other demands distance travelled and fuel efficiency equations have been estimated for both the passenger car fleet and trucks an essentially five equation model has been constructed and used to simulate likely fuel demand patterns up to 1990

reforming residential electricity tariff in china block tariffs pricing approach the chinese households that make up approximately a quarter of world households are facing a residential power tariff reform in which a rising block tariff structure will be implemented and this tariff mechanism is widely used around the world the basic principle of the structure is to assign a higher price for higher income consumers with low price elasticity of power demand to capture the non linear effects of price and income on elasticities we set up a translog demand model the empirical findings indicate that the higher income consumers are less sensitive than those with lower income to price changes we further put forward three proposals of chinese residential electricity tariffs compared to a flat tariff the reasonable block tariff structure generates more efficient allocation of cross subsidies better incentives for raising the efficiency of electricity usage and reducing emissions from power generation which also supports the living standards of low income households

energy consumption and economic growth revisited does the size of unrecorded economy matter abstract we analyze the long run relationship between energy consumption and real gross domestic product gdp in turkey taking into account the size of unrecorded economy since in developing countries mainly due to the unrecorded economic activities the official gdp is not measured correctly the investigation of the linkage between energy consumption and official gdp may not give reliable results in this study empirical results for the case of turkey over the period 1970 2005 suggest that there is a long run equilibrium relationship between the officially calculated gdp and energy consumption besides using the error correction modeling technique we find out that unidirectional causality runs from official gdp to energy in both short and long runs however when we take into account unrecorded economy we detect neither cointegration nor causality between energy consumption and true gdp these empirical findings imply that first energy conservation policies can be implemented in order to reduce greenhouse gas emissions without any adverse effect on the recorded economic activities second the production function in the unrecorded economy is not stable furthermore economic policies to combat unrecorded economy may not serve as a complement to energy conservation policies

accounting for asymmetric price responses and underlying energy demand trends in oecd industrial energy demand abstract this paper explores the way technical progress and improvements in energy efficiency are captured when modelling oecd industrial energy demand the industrial sectors of the developed world involve a number of different practices and processes utilising a range of different technologies consequently given the derived demand nature of energy it is vital when modelling industrial energy demand that the impact of technical progress is appropriately captured however the energy economics literature does not give a clear guide on how this can be achieved one strand suggests that technical progress is endogenous via asymmetric price responses whereas another strand suggests that it is exogenous more recently it has been suggested that potentially there is a role for both endogenous technical progress and exogenous technical progress and consequently the general model should be specified accordingly this paper therefore attempts to model oecd industrial energy demand using annual time series data over the period 1962 2010 for 15 oecd countries using the structural time series model framework the general specifications allow for both asymmetric price responses for technical progress to impact endogenously and an underlying energy demand trend for technical progress and other factors to impact exogenously but in a non linear way the results show that almost all of the preferred models for oecd industrial energy demand incorporate both a stochastic underlying energy demand trend and asymmetric price responses this gives estimated long run income elasticities in the range of 0 34 to 0 96 estimated long run price maximum elasticities in the range of 0 06 to 1 22 estimated long run price recovery elasticities in the range of 0 00 to 0 27 and estimated long run price cut elasticities in the range of 0 00 to 0 18 furthermore the analysis suggests that when modelling industrial energy demand there is a place for endogenous technical progress and an exogenous underlying energy demand trend consequently it is argued that any modelling strategy should start by including both and only imposed restrictions if accepted by the data

flooded with debt this study explores if natural disasters are able to trigger a sovereign debt default natural disasters make the debt of a country less sustainable as they worsen the public finances of a country the main findings from our empirical analysis clearly indicate that large scale natural disasters increase significantly the onset probability of a sovereign debt default by about three percentage points it turns out that particularly major earthquakes and storms raise the likelihood of a default as they create the most widespread damage reported worldwide this will limit the debt servicing opportunities of a country in the future

the reliability of aggregate energy demand functions an application of statistical specification error tests abstract the paper examines the unbiasedness and efficiency of various energy elasticity estimates by means of statistical specification error tests the model selection procedure is applied to energy consumption data of eight industrialized countries it is found that models which describe dynamic behaviour by including the lagged dependent variable among the regressors are most frequently accepted and that long term income effects are important for all countries strong differences among countries prevail concerning the appropriateness of including a time trend elasticities derived from accepted models differ considerably among countries

modelling industrial energy demand in saudi arabia abstract between 1986 and 2016 industrial energy consumption in saudi arabia increased by tenfold making it one of the largest end use sectors in the kingdom despite its importance there appear to be no published econometric studies on aggregate industrial energy demand in saudi arabia we model aggregate industrial energy demand in saudi arabia using harvey s 1989 structural time series model showing that it is both price and income inelastic with estimated long run elasticities of 0 34 and 0 60 respectively the estimated underlying energy demand trend suggests improvements in energy efficiency starting from 2010 applying decomposition analysis to the estimated econometric equation highlights the prominent roles of the activity effect the growth in industrial value added and the structure effect the shift towards energy intensive production in driving industrial energy demand growth moreover the decomposition shows how exogenous factors such as energy efficiency helped mitigate some of that growth delivering cumulative savings of 6 8 million tonnes of oil equivalent mtoe between 2010 and 2016 saudi arabia implemented a broad energy price reform program in 2016 which raised electricity fuel and water prices for households and industry the decomposition results reveal that holding all else constant higher industrial energy prices in 2016 reduced the sector s energy consumption by 6 9 a decrease of around 3 0 mtoe saudi policymakers could therefore build on the current policy of energy price reform and energy efficiency standards to mitigate the rate of growth of industrial energy consumption increase economic efficiency and maintain industrial sector competitiveness

the relationship between energy and production evidence from turkish manufacturing industry this paper investigates the relationship between energy and production at the industry level in an emerging market turkey in a multivariate framework the electricity consumption and value added relation is examined in the turkish manufacturing industry while also accounting for labor and fixed investment we find that labor fixed investment electricity consumption and value added are related via three cointegrating vectors the vec results indicate uni directional causality running from electricity consumption to value added generalized impulse response and variance decomposition analyses confirm these results thus energy input appears to be closely related to production hence energy saving technologies and increased energy efficiency may increase the growth in manufacturing value added

short and long run elasticities in energy demand a cointegration approach abstract short and long run energy demand elasticities are estimated on danish annual data for 1948 1990 energy consumption the real price of energy and real gdp appear to be non stationary variables cointegration and error correction methods are therefore applied all estimated parameters have the expected signs and magnitudes and no evidence is found of a structural break in energy demand caused by the increases in real energy prices since 1973 74

household and industrial electricity demand in europe abstract this paper examines the electricity demand and its determinants in 29 european countries during the liberalization of the electricity market based on panel data for these countries for the years 1995 2015 and using a dynamic partial adjustment model price elasticities are estimated for both residential and industrial electricity demand these elasticities and effects of other variables on electricity consumption are estimated using both gmm generalized method of moments and ml maximum likelihood approaches it is found that the price elasticities are very small especially in the short run while the income elasticities are relatively large especially for households and in the long run

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

impact of higher energy prices on wage rates return to capital energy intensity and productivity a regional profit specification abstract to take account of the interaction between energy and the aggregate economy a simple neoclassical profit maximizing model is econometrically estimated for the province of ontario canada using this value added specification permits the easy quantification of the impact of higher energy prices on the energy gdp ratio labour productivity and the factor income of labour and capital an empirical evaluation of this profit formulation reveals that rising energy prices have caused all three of these impacts to be depressed significantly particularly in the late 1970s

seasonality in dynamic regression models this paper examines the implications of treating seasonality as an unobserved component which changes slowly over time this approach simplifies the specification of dynamic relationships by separating non seasonal from seasonal factors we illustrate this approach using the consumption model of davidson et al 1978 and estimate a stable error correction model between consumption income and prices over the period 1958 92 more generally we argue that autoregressive models are unlikely to successfully model slowly changing seasonality and may confound seasonal effects with the dynamic responses of prime interest our approach can be used in a wide range of cases and we show that there is little loss in efficiency even if seasonality is deterministic

electricity demand analysis using cointegration and arima modelling a case study of turkey in the early 2000s the republic of turkey has initiated an ambitious reform program in her electricity market which requires privatization liberalization as well as a radical restructuring the most controversial reason behind or justification for recent reforms has been the rapid electricity demand growth that is to say the whole reform process has been a part of the endeavors to avoid the so called energy crisis using cointegration analysis and autoregressive integrated moving average arima modelling the present article focuses on this issue by both providing an electricity demand estimation and forecast and comparing the results with official projections the study concludes first that consumers respond to price and income changes is quite limited and therefore there is a need for economic regulation in turkish electricity market and second that the current official electricity demand projections highly overestimate the electricity demand which may endanger the development of both a coherent energy policy in general and a healthy electricity market in particular

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

the evolution of price elasticity of electricity demand in south africa a kalman filter application abstract in south africa the electricity mismatch of supply and demand has been of major concern additional to past problems the 2008 electricity crisis made the solution crucial after its damaging consequences to the economy the disagreement on the need and consequences of the continuous electricity price hikes worsens the situation to contribute to the recent electricity debate this paper proposes a time varying price elasticity of demand for electricity the sensitivity of electricity consumption to price fluctuations changes throughout the years the main purpose of this study is the estimation of the price elasticity of electricity in south africa during the period 1980 2005 by employing an advanced econometric technique the kalman filter apart from the decreasing effect of electricity prices to consumption 71 8 in the 1990s and 94 5 in the 2000s in average our results conclude to an important finding the higher the prices for example in the 1980s the higher the sensitivity of consumers to price fluctuations thus further increases of the electricity prices may lead to changes in the behaviour of electricity consumers focusing their efforts on improving their efficiency levels by introducing demand side management techniques or even turning to other sources of cheaper energy

on energy coefficients and ratios abstract this paper examines the methodological issues of the debates surrounding the problem of measuring energy consumption and the use of the concept of energy coefficients it also investigates the brookes hypothesis of a development effect on energy consumption the results suggest that when energy consumption is appropriately measured the energy coefficients are very consistent and fall steadily from high values tending asymptotically to one

dynamic multilevel modelling of industrial energy demand in europe previous studies of industry level energy demand have not accounted for the hierarchical nesting of industries within a system that also adequately allows for country specific determinants of energy demand the principal contribution of this paper is therefore to analyse energy demand for european industries over the period 1995 2009 using a dynamic multilevel model that accounts for this hierarchical data structure among other things we find firstly that our dynamic multilevel model suggests that if industry income and the industry energy price increase by 10 long run energy demand will increase by 8 1 and fall by 6 8 respectively secondly we find that the corresponding long run income and price elasticities are substantially larger in a standard dynamic model of industry level energy demand which does not account for the hierarchical data structure our results therefore suggest that not accounting for the hierarchical data structure results in unreliable estimates of energy demand elasticities from a policy perspective we argue that it is imperative that future industry level energy demand studies account for the hierarchical structure of the data this is to prevent energy policy making being based on industry level evidence that substantially inflates the responsiveness of long run energy demand to income and price changes

functional form and aggregate energy demand elasticities a nonparametric panel approach for 17 oecd countries this paper studies whether the commonly used linear parametric model for estimating aggregate energy demand is the correct functional specification for the data generating process parametric and n

the sensitivity of consumption of oil products to price changes an econometric investigation abstract this paper presents a small econometric model of the supply and demand of motor spirit diesel fuel oil and other gas diesel oil by modelling at this level of disaggregation it is possible to identify the dynamic structure of each market and estimate own price and cross price elasticities

modelling residential electricity demand in the gcc countries abstract this paper aims at understanding the drivers of residential electricity demand in the gulf cooperation council countries by applying the structural time series model in addition to the economic variables of gdp and real electricity prices the model accounts for population weather and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour the resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks in particular the estimates allow for a sound assessment of the impact of energy related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers possibly by education and marketing campaigns moreover even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities unless that is prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase in absolute terms

regionalism and the bias against agriculture in less developed countries panel survey data play a crucial role in producing estimates on welfare dynamics as well as insights into transformation processes in developing economies panel survey data are indispensable for effective policy advice for poverty reduction and growth fielding and maintaining a good quality panel survey requires investment in financial and technical resources as well as careful planning especially in developing countries statistical techniques can also be employed to produce estimates on poverty dynamics as an alternative methodology but a new hybrid approach can combine the advantages of both methods

terms of trade and exchange rate regimes in developing countries abstract since friedman essays in positive economics university of chicago press chicago 1953 157 203 an advantage often attributed to flexible exchange rate regimes over fixed regimes is their ability to insulate more effectively the economy against real shocks i use a post bretton woods sample 1973 96 of 75 developing countries to assess whether the responses of real gdp real exchange rates and prices to terms of trade shocks differ systematically across exchange rate regimes i find that responses are significantly different across regimes in a way that supports friedman s hypothesis the paper also examines the importance of terms of trade shocks in explaining the overall variance of output and prices in developing countries

fiscal responses after catastrophes and the enabling role of financial development natural disasters may constitute a major shock to public finances and debt sustainability because of their impact on output and the need for government response with reconstruction and relief expenses the question arises of whether governments can use financial development policy as the means to mitigate or insure against this negative fiscal impact this paper uses a panel vector autoregressive model estimated on annual data for high and middle income countries over 1975 2008 to study the role of debt market development and insurance penetration in enabling fiscal response after catastrophes the authors find that countries with higher debt market development suffer smaller real consequences from disasters but that their deficits expand further followingthe mitigating fiscal response disasters in countries with high insurance penetration also experience smaller real consequences of disasters but without the need for further deficit expansions from an ex post perspective the availability of insurance could offer the best mitigation approach against the real and fiscal consequences of disasters

modelling the energy output ratio abstract the elasticity of energy use with respect to national output has been estimated by various methods with sometimes seemingly contradictory results this study attempts to reconcile these various estimates by modelling the energy output ratio and deriving the corresponding cross section and time series elasticities from this model

energy consumption and economic activity in industrialized economies a note abstract in industrialized countries the income elasticity of primary energy demand is not far off unity furthermore it can be argued that there is little use in distinguishing between short and long term income elasticities a long term income elasticity does not have a direct impact on energy demand and hence it is of doubtful use in energy demand projections via an aggregate oecd model it was estimated that the short term impact of prices on primary energy demand is about 0 15 while the long term impact is 0 43 but increasing over time

a review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting abstract electricity consumption data is regarded as nonlinear non stationary series and is often made up by a superposition of several distinct frequencies thus most of the conventional approaches currently employed for the modeling and forecasting involve great complexity and uncertainty recently fluctuation characteristic analysis has increasingly become essential step in the application of electricity demand forecasting yet the implementation of this analysis is an inherently difficult task to obtain reasonable accuracy and stability in the modeling there has been the tendency to accommodate multidimensional attributes of the consumption demands with decomposition based approach in terms of more advanced and hybrid form and the decomposition can be achieved through utilization of two different procedures namely component model based and frequency domain analysis based decomposition consequently a comprehensive review and summarization of decomposition based approach for the prediction is conducted in this paper more specifically the issues of demand forecasting classification the dependency between the electricity demand and external indicators features of various decomposition approach as well as the unique fluctuation characteristic of electricity demand at different time scales are discussed in addition future research directions of the decomposition based prediction approach are outlined

energy price reform in saudi arabia modeling the economic and environmental impacts and understanding the demand response abstract saudi arabia has regulated domestic energy prices for decades setting them below international market levels energy subsidies in saudi arabia are generally implicit because they lead to foregone revenues for the government low energy prices also encourage rapid energy demand growth and wasteful consumption while limiting incentives to invest in energy efficiency saudi arabia recently started to reform energy prices leading to large increases in gasoline and residential electricity prices in 2018 to measure the economic and environmental impacts of energy price reform we econometrically model gasoline and residential electricity demand using harvey s 1990 structural time series model our estimated equations reveal that gasoline demand and residential electricity demand in saudi arabia are strongly price and income inelastic despite the major reforms that were recently implemented our welfare analysis also shows that the energy price reforms in 2018 in gasoline and residential electricity respectively delivered welfare gains of 8 8 and 3 8 billion sar annually 2 3 and 1 0 billion us additionally our decomposition analysis reveals that these energy price reforms were the largest contributors to the observed decreases in gasoline and residential electricity consumption in 2018

election or disaster support in this study i explore whether the public spending provided in response to a natural disaster is affected by upcoming elections the theory on retrospective voting argues that politicians are kept responsible by the electorate for the damage caused by a natural catastrophe at the same time voters reward government officials when they react promptly by taking actions that limit the negative consequences thus disaster support in the aftermath might not always only be provided to improve the economic situation after a disaster but also for political purposes my estimates seem to confirm this idea since roughly 10 per cent of the disaster related public spending provided in an election year is attributed to rent seeking rather than need it turns out that the existence of these election cycles can partly be explained by cross country differences for instance elections have a stronger effect in countries that are characterised by fewer checks and balances presidential system and majority elections one interesting result is that the role of media in electoral manipulation changes when a disaster has happened in the year before

the causality between energy consumption and economic growth in turkey abstract this paper applies the causality test to examine the causal relationship between primary energy consumption ec and real gross national product gnp for turkey during 1970 2006 we employ unit root tests the augmented dickey fuller adf and the philips perron pp johansen cointegration test and pair wise granger causality test to examine relation between ec and gnp our empirical results indicate that the two series are found to be non stationary however first differences of these series lead to stationarity further the results indicate that ec and gnp are cointegrated and there is bidirectional causality running from ec to gnp and vice versa this means that an increase in ec directly affects economic growth and that economic growth also stimulates further ec this bidirectional causality relationship between ec and gnp determined for turkey at 1970 2006 period is in accordance with the ones in literature reported for similar countries consequently we conclude that energy is a limiting factor to economic growth in turkey and hence shocks to energy supply will have a negative impact on economic growth

the demand for energy in the uk a general equilibrium analysis abstract previous research into the demand for energy has treated economic activity as an explanatory variable however economic theory suggests that economic activity is not independent of energy prices and energy demand we explore the two way causality between energy demand and economic activity in the context of a macroeconometric model of the uk economy inter alia this study suggests that the demand for energy is more price elastic in general equilibrium than it is under the more conventional assumptions of partial equilibrium

the macroeconomic consequences of disasters abstract natural disasters have a statistically observable adverse impact on the macro economy in the short run and costlier events lead to more pronounced slowdowns in production yet interestingly developing countries and smaller economies face much larger output declines following a disaster of similar relative magnitude than do developed countries or bigger economies a close study of the determinants of these adverse macroeconomic output costs reveals several interesting patterns countries with a higher literacy rate better institutions higher per capita income higher degree of openness to trade and higher levels of government spending are better able to withstand the initial disaster shock and prevent further spillovers into the macro economy these all suggest an increased ability to mobilize resources for reconstruction financial conditions also seem to be of importance countries with more foreign exchange reserves and higher levels of domestic credit but with less open capital accounts appear more robust and better able to endure natural disasters with less adverse spillover into domestic production

electricity consumption and economic growth evidence from turkey abstract this study investigates the causal relationship between electricity consumption and real gdp in turkey during the period of 1950 2000 both of the series were found to be a stationary process around a structural break by the zivot and andrews test thus two different methodologies have been employed to test the granger non causality the dolado lutkepohl test using the vars in levels and the standard granger causality test using the detrended data both tests have yielded a strong evidence for unidirectional causality running from the electricity consumption to the income this implies that the supply of electricity is vitally important to meet the growing electricity consumption hence to sustain the economic growth in turkey

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

accounting for technical progress in aggregate energy demand abstract researchers have not reached a consensus on how to account for technical progress when modeling aggregate energy demand some include a time trend in a dynamic model while others omit the trend in a model that disallows for long run income effects we show that the latter approach can be directly tested as a nested case of the former so that model selection need not be made a priori solely on theoretical grounds using annual data over 1960 1990 we find that long run income effects are not significant however including a time trend improves the model s fit while rendering much more credible long run price elasticities

diagnostic checking of unobserved components time series models diagnostic checking of the specification of time series models is normally carried out using the innovations that is the one step ahead prediction errors in an unobserved components model other sets of residuals are available these auxiliary residuals are estimators of the disturbances associated with the unobserved components they can often yield information that is less apparent from the innovations but they suffer from the disadvantage that they are serially correlated even in a correctly specified model with known parameters this article shows how the properties of the auxiliary residuals may be obtained how they are related to each other and to the innovations and how they can be used to construct test statistics applications are presented showing how residuals can be used to detect and distinguish between outliers and structural change

underlying trends and seasonality in uk energy demand a sectoral analysis this paper demonstrates the importance for energy demand modelling of allowing for trends and seasonal effects that are stochastic in form inherent underlying trends may be non linear and reflect not only technical progress which usually produces greater energy efficiency but also other factors such as changes in consumer tastes and the economic structure that may be working in the opposite direction using quarterly unadjusted data for various sectors in the uk it is shown that unless energy demand models are formulated so as to allow for stochastic trends and seasonals estimates of price and income elasticities could be seriously biased

the long run price sensitivity dynamics of industrial and residential electricity demand the impact of deregulating electricity prices abstract this study examines the demand side of ghana s electricity sector we test two important related hypotheses 1 deregulation of electricity price does not promote energy conservation and 2 demand price relationship is not an inverted u shaped the stock and watson dynamic ols is used to address the so called second order bias the result showed that deregulation of electricity price in ghana has induced behaviours that are more consistent with energy conservation improvements the demand price relationship is an inverted u which suggests that there is a price range that end users can tolerate further price rise and still increase their consumption of electricity however the degree of price tolerability is higher for residential consumers than industrial consumers the simulation results showed that further economic growth is likely to compromise energy conservation but more in the industrial sector than the residential sector on the other hand future crude oil price is likely to deteriorate energy conservation in the initial years after 2016 but this trend is likely to reverse after the year 2020 pricing mechanisms are potent to induce energy conservation but inadequate the results suggest that they should be complemented with other stringent policies such as a mandatory energy reduction policy investment in renewables and personalization of energy efficiency programs

vision 2023 forecasting turkey s natural gas demand between 2013 and 2030 abstract natural gas is the primary source for electricity production in turkey however turkey does not have indigenous resources and imports more than 98 0 of the natural gas it consumes in 2011 more than 20 0 of turkey s annual trade deficit was due to imported natural gas estimated at us 20 0 billion turkish government has very ambitious targets for the country s energy sector in the next decade according to the vision 2023 agenda previously we have estimated that turkey s annual electricity demand would be 530 000 gwh at the year 2023 considering current energy market dynamics it is almost evident that a substantial amount of this demand would be supplied from natural gas however meticulous analysis of the vision 2023 goals clearly showed that the information about the natural gas sector is scarce most importantly there is no demand forecast for natural gas in the vision 2023 agenda therefore in this study the aim was to generate accurate forecasts for turkey s natural gas demand between 2013 and 2030 for this purpose two semi empirical models based on econometrics gross domestic product gdp at purchasing power parity ppp per capita and demographics population change were developed the logistic equation which can be used for long term natural gas demand forecasting and the linear equation which can be used for medium term demand forecasting fitted to the timeline series almost seamlessly in addition these two models provided reasonable fits according to the mean absolute percentage error mape criteria turkey s natural gas demand at the year 2030 was calculated as 76 8 billion m 3 using the linear model and 83 8 billion m 3 based on the logistic model consequently found to be in better agreement with the official turkish petroleum pipeline corporation botas forecast 76 4 billion m 3 than results published in the literature

the terms of trade the real exchange rate and economic fluctuations this paper examines the relationship between terms of trade and business cycles using a three sector intertemporal equilibrium model and a large multicountry database results show that terms of trade shocks account for nearly one half of actual gdp variability the model explains weak correlations between net exports and terms of trade the harberger laursen and metzler effect and produces large and weakly correlated deviations from purchasing power parity and real interest rate parity terms of trade shocks cause real appreciations and positive interest differentials although productivity shocks have opposite effects the puzzle that welfare gains of international asset trading are negligible is left unresolved copyright 1995 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

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

agricultural incentives in developing countries measuring the effect of sectoral and economywide policies the impact of sector specific direct and economywide indirect policies on agricultural incentives for 18 developing countries for the period 1975 84 are estimated the direct effect is measured by the proportional difference between the producer price and the border price adjusting for distribution storage transport and other marketing costs the indirect effect has two components 1 the impact of the unsustainable portion of the current account deficit and of industrial protection policies on the real exchange rate and thus on the price of agricultural commodities relative to nonagricultural nontradables and 2 the impact of industrial protection policies on the relative price of agricultural commodities to that of nonagricultural tradable goods the authors found that a in almost all cases the direct effect is equivalent to a tax on exportable goods and to a subsidy for importables b the indirect effect also taxes agriculture and dominates the direct effect and c the direct policies for both importables and exportables stabilize domestic producer prices

sectoral energy consumption by source and economic growth in turkey this paper provides a detailed analysis of the energy consumption in turkey during the last 40 years it investigates the causal relationships between income and energy consumption in two ways first the relationship is studied at the aggregate level then we focus on the industrial sector previous findings suggest that in the case of turkey there is a unidirectional causality running from energy consumption to growth however our findings suggest that in the long run income and energy consumption appear to be neutral with respect to each other both at the aggregate and at the industrial level we also find a strong evidence of instantaneous causality which means that contemporaneous values of energy consumption and income are correlated furthermore a descriptive analysis is conducted in order to reveal the differences in the use of energy resources we conclude that energy conservation policies are necessary for environmental concerns and our empirical results imply that such policies would not impede economic growth in the long term

rural nonagricultural activities in development theory and application abstract this paper focusses on the potentially important role of rural nonagricultural activity in the development process using the hymer resnick z goods model as a point of departure we first show that its pessimistic conclusions are based on rather restrictive assumptions as applied to the colonial period we relax these assumptions indicating the theoretical possibility of a substantially more positive scenario for that period subsequently we analyze the role of z goods traditional and nontraditional in the post independence era again distinguishing between archetypal pessimistic and optimistic cases finally the comparative historical experience of the philippines and taiwan is brought to bear to illustrate the argument empirically

energy consumption and economic activity in industrialized countries the dynamic aggregate time series relationship abstract most econometric studies suggest that the income elasticity of demand for energy is approximately unity for the developed market economies it is shown that over the period 1950 1978 the long run income elasticity is substantially higher than unity in terms of a ces energy demand function this result reflects the application of a generalized dynamic estimation methodology where serial correlation is regarded as a diagnostic guide to distributed lag fitting price elasticities are also estimated but these are in line with conventional estimates

arima forecasting of primary energy demand by fuel in turkey abstract forecasting of energy demand in emerging markets is one of the most important policy tools used by the decision makers all over the world in turkey most of the early studies used include various forms of econometric modeling however since the estimated economic and demographic parameters usually deviate from the realizations time series forecasting appears to give better results in this study we used the autoregressive integrated moving average arima and seasonal arima sarima methods to estimate the future primary energy demand of turkey from 2005 to 2020 the arima forecasting of the total primary energy demand appears to be more reliable than the summation of the individual forecasts the results have shown that the average annual growth rates of individual energy sources and total primary energy will decrease in all cases except wood and animal plant remains which will have negative growth rates the decrease in the rate of energy demand may be interpreted that the energy intensity peak will be achieved in the coming decades another interpretation is that any decrease in energy demand will slow down the economic growth during the forecasted period rates of changes and reserves in the fossil fuels indicate that inter fuel substitution should be made leading to a best mix of the country s energy system based on our findings we proposed some policy recommendations

china s future energy mix and emissions reduction potential a scenario analysis incorporating technological learning curves abstract this paper examines the impacts of co 2 emission reduction targets and carbon taxes on the structure of power generation in china a model is developed to minimize the total electricity generation cost and select the optimal energy technology and resource mix for china the model contributes to existing work by utilizing the learning curve concept which manifests as diminishing costs of production and includes constraints for minimum energy generation and also an emissions cap the result shows that the introduction of the co 2 emission reduction targets and carbon taxes both shift energy production technologies away from high carbon content fossil fuels towards low carbon content fossil based and renewable energies co 2 emission reduction targets turn out to be more effective in the early years while carbon taxes become more effective in the later periods perhaps unsurprisingly all options result in a net increase in total production costs in addition some scenario analyses are conducted to consider the possible roles of shale gas and improved carbon capture and storage technologies showing the general conclusions to be robust

monetary policy in a low pass through environment in a dynamic new keynesian optimizing model we introduce incomplete exchange rate pass through on import prices three results stand out first unlike canonical models with perfect pass through which emphasize a type of isomorphism incomplete pass through renders the analysis of monetary policy of an open economy fundamentally different from the one of a closed economy second productivity driven deviations from the law of one price assume the interpretation of endogenous cost push shocks third the optimal commitment policy relative to discretion entails a smoothing of the deviations from the law of one price and requires more stable nominal and real exchange rates

tariff rates tariff revenue and tariff reform some new facts this article compares the statutory and valorem tariff rates official rates with the ratio of tariff revenues to import values collected rates for jamaica kenya and pakistan it identifies four general features of the tariff codes considers whether these features apply to all developing countries and discusses four implications of these features for tariff reform first the collected rate for any given item in the tariff code is only weakly related to the official rate for the item second the variation of collected rates on average increase much less than the official rates fourth the relation between official rates and collected rates is nonlinear because the slope is lower at higher levels of the official rate

economic modelling of energy services rectifying misspecified energy demand functions abstract although it is well known that energy demand is derived since energy is required not for its own sake but for the energy services it produces such as heating lighting and motive power energy demand models both theoretical and empirical often fail to take account of this feature in this paper we highlight the misspecification that results from ignoring this aspect and its empirical implications biased estimates of price elasticities and other measures and provide a relatively simple and empirically practicable way to rectify it which has a strong theoretical grounding to do so we develop an explicit model of consumer behaviour in which utility derives from consumption of energy services rather than from the energy sources that are used to produce them as we discuss this approach opens up the possibility of examining many aspects of energy demand in a theoretically sound way that have not previously been considered on a widespread basis although some existing empirical work could be interpreted as being consistent with this type of specification while this formulation yields demand equations for energy services rather than for energy or particular energy sources these are shown to be readily converted without added complexity into the standard type of energy demand equation s that is are typically estimated the additional terms that the resulting energy demand equations include compared to those that are typically estimated highlight the misspecification that is implicit when typical energy demand equations are estimated a simple solution for dealing with an apparent drawback of this formulation for empirical purposes namely that information is required on typically unobserved energy efficiency indicates how energy efficiency can be captured in the model such as by including exogenous trends and or including its possible dependence on past energy prices the approach is illustrated using an empirical example that involves estimation of an aggregate energy demand function for the uk with data over the period 1960 2011

a single equation study of u s petroleum consumption the role of model specification the price responsiveness of u s petroleum consumption began to attract a great deal of attention following the unexpected and substantial oil price increases of 1973 74 there have been a number of large multi equation econometric studies of u s energy demand since then which have focused primarily on estimating short run and long run price and income elasticities of individual energy resources coal oil natural gas electricity for various consumer sectors residential industrial commercial following these early multi equation studies there have been several single equation studies of aggregate u s petroleum consumption 4 3 9 5 6 these singleequation studies have found that u s demand for petroleum products can be quite price inelastic in the short run estimates range from 0 04 to 0 08 but exhibits long lags of anywhere from 6 to 10 years that yield long run price elasticities ranging from 0 25 to 0 56 income or gnp elasticities are usually found to be much higher 0 69 to 1 13 with the complete response often assumed to occur in the current period single equation studies are often justified as efficient shortcuts or reduced forms for identifying the central behavioral aspects of a particular market the main issue addressed in this paper is the extent to which the existing empirical results from single equation studies of aggregate u s petroleum consumption have been influenced by the researchers choice of dynamic model specification this question is relevant because the econometric methodology usually followed in such studies is to start with a relatively simple specification such as a partial adjustment model or some kind of a distributed lag structure on price alone this initial specification choice is rarely justified except possibly to cite its previous success in similar work given that models which produce insignificant or perverse coefficient estimates are not usually publishable the reported specification is almost certain to provide reasonable statistically significant estimates with the correct signs the primary diagnostic test of the chosen specification is the durbin watson test statistic or perhaps durbin s h statistic in the presence of lagged dependent variables when this test gives evidence of serial correlation in the residuals the usual response is to correct for this by estimating a first or second order autoregressive model ar 1 or ar 2 should this easilyimplemented correction not solve the problem there is a tendency to chalk it up to some kind 1 an excellent survey of these results may be found in bohi 2 159

energy consumption and gdp in turkey is there a co integration relationship energy consumption and gdp are expected to grow by 5 9 and 7 annually until 2025 in turkey this paper tries to unfold the linkage between energy consumption and gdp by undertaking a co integration analysis for turkey with annual data over the period 1970 2003 the analysis shows that energy consumption and gdp are co integrated this means that there is a possibly bi directional causality relationship between the two we establish that there is a unidirectional causality running from gdp to energy consumption indicating that energy saving would not harm economic growth in turkey in addition we find that energy consumption keeps on growing as long as the economy grows in turkey

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