determinants of import demand for non renewable energy petroleum products empirical evidence from nigeria abstract this study estimated determinants of import demand for refined petroleum products in nigeria for the period 1984 2013 it employed the autoregressive distributed lag ardl bounds test cointegration method and analysed both long run and short run determinants of import demand for total and specific petroleum products in the long run aggregate and sectoral incomes are significant determinants of import of refined kerosene further real effective exchange rate reer aggregate income gdp manufacturing sector s income domestic energy production dep and population growth rate pgr are drivers of import of refined motor spirit moreover reer dep and manufacturing sector s income are propellers of import of refined distillate fuel also reer and total output of petroleum products are major drivers of total import of refined petroleum products short run results show that previous period gdp pgr and manufacturing and service sectors incomes are determinants of import demand for refined kerosene moreover reer gdp previous pgr and manufacturing sector s income exert significant effects on the import of refined motor spirit further significant effects of reer dep previous pgr domestic output of the product and manufacturing and service sectors incomes on the import demand for distillate fuel were found policy implications of the foregoing are articulated in the paper

structural change in factor substitution in finnish manufacturing the possibility of structural change in finnish factor substitution relations between energy and nonenergy factors is analyzed the standard generalized leontief klemf cost function is modified so that the substitution parameters related to electricity and fuel factors may shift to new levels over time the initial point of transition is 1974 during which the first energy crises took place likelihood ratio tests confirm that there has indeed been a statistically significant change in energy versus nonenergy substitution our estimates imply stronger substitutability for most input pairs after the energy crisis

impacts of renewables obligation with recycling of the buy out fund tradable green certificate tgc or renewables obligation ro programs typically include a buy out option but only in the uk the buy out fund is redistributed back to the suppliers who have submitted the certificates we show that when the buy out fund is redistributed the supply of renewable energy responds positively to the market conditions and renewables target without it the buy out rate is equivalent to a maximum price however redistribution of the buy out fund may induce strategic behavior from producers who have market power we analyze the impacts of market power and integration on the supply of conventional and renewable energy under the ro program with the buy out fund recycled and devise some empirical tests to predict these impacts policy implications of this study are discussed with special reference to the new fit cfd system

modeling hidden alternatives in random utility models an application to don t know responses in contingent valuation wedevelop a multinomial logitmodel with missing information that can be used to test for hidden alternatives in random utility models and contingent valuation analysis to illustrate our latentchoice technique we focus on the don t know responses in dichotomous choice contingent valuation questions in this version of the latent choice model we probabilistically reassign don t know responses to either the yes or no categories or leave them in the don t know category if indicated by the data we find that in our two studies a statistically significant number of the don t know responses are actually no responses

industrial energy substitution during the 1980s in the greek economy abstract factor substitution in greek manufacturing during the 1980s is examined using pooled data in static and dynamic translog expenditure share models inputs are capital labor electricity and non electrical energy liquid solid gas own price elasticities for capital and labor are inelastic but for electricity more elastic 0 90 results indicate substitutability among factors in the short run in the long run electricity and capital are complements as are labor and non electrical energy greek manufacturing is predicted to continue decreased consumption of liquid fuels to the year 2000 continuing the electrification begun in the 1970s

electricity demand by time of use an application of the household aids model in this study we estimated the price and expenditure elasticities of peak and off peak electricity consumption using a micro data set on 220 households living in 19 swiss cities the household version of the almost ideal demand system model aids was used as a framework to incorporate household characteristics the aids model was expanded by specifying the intercept as a linear function of household characteristics variables results indicate that demand for peak and off peak electricity is elastic and that cross price effects are positive as well as the elasticity of substitution therefore peak and off peak electricity are substitutes in the hicks allen sense

electricity trade and ghg emissions assessment of quebec s hydropower in the northeastern american market 2006 2008 abstract worldwide electricity sector reforms open up electricity markets and increase trades this has environmental consequences as exports and imports either increase or decrease local production and consequently greenhouse gas ghg emissions this paper s objective is to illustrate the importance of electricity trade s impact on ghg emissions by providing an estimate of the net ghg emissions resulting from these trades to achieve this objective quebec hourly electricity exchanges with adjacent jurisdictions were examined over the 2006 2008 period in order to associate a specific ghg emission quantity to electricity trades hourly marginal electricity production technologies were identified and validated using the ontario hourly output per power plant and information released in the quebec adjacent system operator reports it is estimated that over three years imports into quebec were responsible for 7 7 mt of ghg while quebec hydropower exports avoided 28 3 mt of ghg emissions hence the net result is 20 6 mt of avoided emissions over 2006 2008 or about 7 mt per year which corresponds to more than 8 of the quebec yearly ghg emissions when ghg emissions from all life cycle stages resource extraction to end of life are accounted for the net avoided ghg emissions increase by 35 to 27 9 mt

do reminders of substitutes and budget constraints influence contingent valuation estimates a test is performed of the recommendation by the noaa panel on contingent valuation that respondents be reminded about other substitute resources and their budget constraint prior to answering the willingness to pay wtp question the context for this experiment is a cvm study of the benefits from reducing fire hazards to old growth forests in oregon the test was performed using two mail surveys that were otherwise identical except for the inclusion of reminder statements prior to the wtp question the dichotomous choice logit equations were not statistically different between versions and the mean wtp results were identical

a dynamic analysis of interfuel substitution in u s industrial energy demand using data for 1960 92 to analyze interfuel substitution in the u s industrial sector a dynamic linear logit model is shown to provide superior global properties than a comparable dynamic translog model confirming earlier static results by t j considine 1989 the linear logit model provides a direct unbiased estimate of the rate of dynamic adjustment indicating a median response lag of less than two years excluding fuels used for nonenergy purposes yields larger estimates of the price elasticities for coal and oil and indicates generally greater potential for interfuel substitution than when using aggregate data

optimal generation mix with short term demand response and wind penetration demand response defined as the ability of load to respond to short term variations in electricity prices plays an increasingly important role in balancing short term supply and demand especially during peak periods and in dealing with fluctuations in renewable energy supplies however demand response has not been included in standard models for defining the optimal generation technology mix three different methodologies are proposed to integrate short term responsiveness into a generation technology mix optimization model considering operational constraints elasticities are included to adjust the demand profile in response to price changes including cross price elasticities that account for load shifts among hours as energy efficiency programs also influence the load profile interactions of efficiency investments and demand response are also modeled comparison of model results for a single year optimization with and without demand response shows peak reduction and valley filling effects impacting the optimal amounts and mix of generation capacity increasing demand elasticity also increases the installed amount of wind capacity suggesting that demand response yields environmental benefits by facilitating integration of renewable energy

latent class model or mixed logit model a comparison by transport mode choice data this article applies two recently stated choice survey datasets of japan to investigate the difference between the latent class model lcm and the mixed logit model mlm for transport mode choice a detailed comparison is carried out focusing on comparing values of time savings direct choice elasticities predicted choice probabilities and prediction success indices furthermore a test on nonnested model is also utilized to help determine which model is superior to another one the results suggest that the lcm performs better than the mlm in both datasets

perceived price complexity of dynamic energy tariffs an investigation of antecedents and consequences dynamic tariffs have the potential to contribute to a successful shift from conventional to renewable energies but tapping this potential in europe ultimately depends on residential consumers selecting them this study proposes and finds that consumer reactions to dynamic tariffs depend on the level of perceived price complexity that represents the cognitive effort consumers must engage in to compute the overall bill amount an online experiment conducted with a representative sample of 664 german residential energy consumers examines how salient characteristics of dynamic tariffs contribute to perceived price complexity subsequently a structural equation model sem reveals that the depth of information processing is central to understand how price complexity relates to consumers behavioral intentions the results suggest that it will be challenging to convince european consumers to select complex dynamic tariffs under the current legal framework policymakers will need to find ways to make these tariffs more attractive

a model for energy pricing with stochastic emission costs we use a supply demand approach to value energy products exposed to emission cost uncertainty we find closed form solutions for a number of popularly traded energy derivatives such as forwards european call options written on spot prices and european call options written on forward contracts our modeling approach is to first construct noisy supply and demand processes and then equate them to find an equilibrium price this approach is very general while still allowing for sensitivity analysis within a valuation setting our assumption is that in the presence of emission costs traditional supply growth will slow down causing output prices of energy products to become more costly over time however emission costs do not immediately cause output price appreciation but instead expose individual projects particularly those with high emission outputs to much more extreme risks through the cost side of their profit stream our results have implications for hedging and pricing for producers operating in areas facing a stochastic emission cost environment

biofuels and food security micro evidence from ethiopia abstract there is considerable controversy about the impact of biofuels on food security in developing countries a major concern is that biofuels reduce food security by increasing food prices in this paper we use survey evidence to assess the impact of castor production on poor and food insecure rural households in ethiopia about 1 3 of poor farmers have allocated on average 15 of their land to the production of castor beans under contract in biofuel supply chains castor production significantly improves their food security they have fewer months without food and the amount of food they consume increases castor cultivation is beneficial for participating households food security in several ways by generating cash income from castor contracts they can store food for the lean season castor beans preserve well on the field which allows sales when farmers are in need of cash or food spillover effects of castor contracts increases the productivity of food crops increased food crop productivity offsets the amount of land used for castor so that the total local food supply is not affected

the demand for electricity in the gcc countries abstract cointegration techniques are used to study the effects of economic variables on electricity demand in the gcc countries a dynamic model is estimated using aggregate data for the six states spanning the period 1970 97 statistical investigations confirm the existence of unit root in all time series employed in the study which called for the use of cointegration and error correction methodologies empirical results indicate that both income and price have an impact on electricity consumption and income and price policies could be effectively facilitated in electricity demand management

the demand for capital labor and energy in european manufacturing industry before and after the oil price shocks the price and substitution elasticities for factor inputs capital labor fuels and electricity are estimated for total manufacturing industry on the basis of a pooled crosscountry time series analysis for nine west european countries the impact of the economic disturbances in the 1970s on the price sensitivity of demand is analyzed by estimating a translog cost function for two separate periods 1960 72 and 1973 80 hicks neutral technical change is rejected for both periods the results indicate some quite significant changes in the elasticities over the two periods

a stochastic two settlement equilibrium model for electricity markets with wind generation incentives to encourage the uptake of renewable energy generation have fostered wind energy in many power systems these incentives usually take the form of market instruments e g feed in tariff or premium that are not directly amenable to optimization representations of the market in this paper we propose an equilibrium model of the short term market to address the impact of wind operation under different structural assumptions the model is formulated for several price taking risk averse firms in competition it accounts for wind generation uncertainty and embeds a representation of the day ahead and balancing mechanisms the consumer is modeled by a linear inverse demand function we focus on feed in premium as the incentive to wind as this is the instrument most favored today in european discussions the model is formulated as a stochastic equilibrium problem where the karush kuhn tucker kkt conditions from the optimization problem of each firm are simultaneously solved together with market clearing conditions on energy capacity for reserve and energy for reserve the problem for each firm consists of a two stage stochastic optimization problem with a recourse function based on the conditional value at risk cvar as a risk measure due to price taking assumptions the model is a single stage complementarity problem it is implemented and solved using the software gams an example based on a stylized simplification of the spanish power market and motivated by the impact of wind penetration on the revenue of conventional plants is used to illustrate the proposed approach

the development and estimation of a latent choice multinomial logit model with application to contingent valuation we offer a new approach to investigate hypothetical bias in contingent valuation using a latent choice multinomial logit model to develop this model we extend dempster laird and rubin s 1977 work on the expectations maximization algorithm to the estimation of a multinomial logit model with missing information on category membership our model can be used to determine within choice heterogeneity using data on the preservation of saginaw wetlands in michigan we find evidence for two types of yes responders in the data we suggest that one set of yes responders consists of yea sayers who answer yes to the hypothetical question but are less likely to pay the bid amount if it were real we suggest that the second group of respondents does not suffer from hypothetical bias and are more likely to pay the bid amount if it were real even if the connection to hypothetical bias cannot be made our method can be used in sensitivity analyses of willingness to pay estimates

what experimental protocol influence disparities between actual and hypothetical stated values preferences elicited in hypothetical settings have recently come underscrutiny causing estimates from the contingent valuation method to bechallenged due to perceived hypothetical bias given that the receivedliterature derives value estimates using heterogeneous experimentaltechniques understanding the effects of important design parameters onthe magnitude of hypothetical bias is invaluable in this paper we addressthis issue statistically by using a meta analysis to examine data from 29experimental studies our empirical findings suggest that on averagesubjects overstate their preferences by a factor of about 3 in hypotheticalsettings and that the degree of over revelation is influenced by thedistinction between willingness to pay and willingness to accept publicversus private goods and several elicitation methods

what s to know about hypothetical bias in stated preference valuation studies abstract hypothetical bias arises in stated preference valuation studies when respondents report a willingness to pay wtp that exceeds what they actually pay using their own money in laboratory or field experiments although this bias is not found in all stated preference surveys hypothetical wtp typically exceeds the actual value by a factor of two to three unfortunately there is no widely accepted general theory of respondent behaviour that explains hypothetical bias therefore two meta analyses are reviewed to test current hypotheses regarding the causes of this overstatement of wtp and the associated recommendations to mitigate the bias suggestions for future research are made including the development of a general theory

where do all the windmills go influence of the institutional setting on the spatial distribution of renewable energy installation abstract promoting renewable energy sources is one policy response to climate change not only is there currently a debate over the best policy instrument it is also discussed whether the renewable energy production should be expanded centralized at locations with the highest production potential or decentralized close to load it is yet not fully understood what influences the spatial distribution of renewable energy installation i assess the effect of subsidy scheme and market design on the spatial distribution of wind energy installations by comparing a feed in tariffs versus market premiums and b uniform versus nodal pricing the analysis is based on theoretical considerations and using a six node test model that reflects the consumption and renewable resource distribution in several countries and regions the institutional setting has great influence on the spatial distribution and resulting system costs with uniform pricing a market premium only leads to a more decentralized expansion of renewable energy production than a tariff when sites share similar wind conditions spatially more distributed expansion of wind power performs better in terms of total costs and share of wind power in final demand when networks are restricted

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

impact of some parameters on investments in oligopolistic electricity markets abstract it is seldom the case that one has the opportunity to compare investments as projected by a long term multi period model to what is eventually realized in practice further although sensitivity analysis is of common use in any optimization setting the impact of some parameters on strategic investments is not yet fully assessed in the context of the deregulated electricity industry starting with a benchmark model of the finnish industry we precisely explore the impact on equilibrium investments of varying such parameters as direct and cross price elasticities length of the planning horizon and the depreciation rate of capacity we run the model with different parameter values and compare the predicted equilibrium with what companies have actually done the model is a stochastic dynamic game involving three players and played over a ten year period our results show the depreciation rate and the planning horizon have a notable effect on investment levels whereas price elasticities seem to play a lesser role although the model s results are rather well aligned to total industry investments it diverges from individual levels this may be due to the cost parameter used and or to the open loop information structure adopted in the computations in any event these results should be of methodological and practical interest to scholars and practitioners involved in strategic investment in the electricity industry

the effect of current and prospective policies on photovoltaic system economics an application to the us midwest abstract this study models fundamental features of current and prospective policies encouraging adoption of residential photovoltaic pv systems a key finding is that time of day tod pricing can enhance or worsen the economics of pv systems moreover increased responsiveness of electricity demand to its price diminishes the effectiveness of tod pricing in the absence of net metering but does not affect it otherwise an application to plausible conditions in the state of indiana usa shows that current policies are unlikely to trigger adoption by a risk neutral forward looking residential customer however adoption of pv systems can be induced if the federal tax credit is increased to cover 48 of capital cost instead of the current 30 which could imply a cost to the federal government of about 0 95 kw of installed capacity depending on the panel s size we demonstrate that implementation of tod pricing can trigger adoption under a range of on and off peak price combinations but our analysis also shows that the cost effectiveness of tod pricing is enhanced at higher ratios of on peak to off peak prices

decarbonizing europe s power sector by 2050 analyzing the economic implications of alternative decarbonization pathways abstract the european union aims to reduce greenhouse gas emissions by 80 95 in 2050 compared to 1990 levels the transition towards a low carbon economy implies the almost complete decarbonization of europe s power sector which could be achieved along various pathways in this paper we evaluate the economic implications of alternative energy policies for europe s power sector by applying a linear dynamic electricity system optimization model in over 36 scenarios we find that the costs of decarbonizing europe s power sector by 2050 vary between 139 and 633 bn 2010 which corresponds to an increase of between 11 and 44 compared to the total system costs when no co2 reduction targets are implemented in line with economic theory the decarbonization of europe s power sector is achieved at minimal costs under a stand alone co2 reduction target which ensures competition between all low carbon technologies if however renewable energies are exempted from competition via supplementary renewable energy res e targets or if investments in new nuclear and ccs power plants are politically restricted the costs of decarbonization significantly rise moreover we find that the excess costs of supplementary res e targets depend on the acceptance of alternative low carbon technologies for example given a complete nuclear phase out in europe by 2050 and politically implemented restrictions on the application of ccs to conventional power plants supplementary res e targets are redundant while in such a scenario the overall costs of decarbonization are comparatively high the excess costs of supplementary res e targets are close to zero

assessing the economic value of renewable distributed generation in the northeastern american market abstract incentive programs and tax rebates are commonly offered to offset the high initial costs of small scale renewable energy systems res and foster their implementation however the economic costs of res grid integration must be fully known in order to determine whether such subsidies are justified the objective of this paper is to assess the economic value of res including their environmental benefits using hourly generation information in conjunction with hourly wholesale price data reaching the paper s objective will provide a better estimate of the bias that could result from neglecting 1 the time pattern of the hourly wholesale price 2 the impacts of carbon taxes on the hourly wholesale price and 3 the value of the marginal hourly ghg emissions selected res include two types of grid connected photovoltaic panels 3 kwp mono and poly crystalline and three types of micro wind turbines 1 10 and 30 kw modeled for different climatic conditions in the province of quebec canada the cost of electricity is based on the technical performance of these res using a life cycle costing methodology the economic value of res electricity is estimated using the hourly wholesale electricity price in northeastern american markets in 2006 2008 results show that distributed generation dg has no economic benefits using the selected res even with a us 100 tonne of co2 equivalent carbon tax this finding remains the same when the value of the avoided ghg emissions is fully internalized except for one scenario micro wind 30 kw our results are key to understanding the extent to which subsidies for distributed res can be economically sustainable when the latter are integrated into regional networks driven by centralized electricity production

price elasticity of demand in the epex spot market for electricity new empirical evidence this paper provides estimates for the price elasticity of demand in the european power exchange epex day ahead market for electricity an institutional change in the year 2010 allows us to use wind speed as an instrumental variable for hourly spot market prices in order to deal with potential endogeneity problems the average price elasticity of demand covering the years 2010 2014 is about 0 43 and our results point to a decline in its absolute value over time

the real time price elasticity of electricity the real time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices despite the importance empirical estimates of the real time elasticity are hardly available this paper provides a quantification of the real time relationship between total peak demand and spot market prices we find a low value for the real time price elasticity which may partly be explained from the fact that not all users observe the spot market price if we correct for this phenomenon we find the elasticity to be fairly low for consumers currently active in the spot market if this conclusion applies to all users this would imply a limited scope for government intervention in supply security issues

substitution and price elasticity estimates using inter country pooled data in a translog cost model pooled data across several developing countries and the u s were used to estimate long run substitution and price elasticities ina translog framework for the paper iron and steel and aggregatemanufacturing industries while the quality of the estimates variesacross the several industry specific models the results suggest highervalues for these elasticities than appear commonly used in integratedassessment models estimates of own price elasticities of energy rangefrom 0 80 to 1 76 and are comparable to estimates from previouseconometric studies in the context of developed countries 0 77 to 0 87 substitution elasticities show wider variation across countriesand industries for energy and capital they range from 1 96 to 9 80 forlabor and energy from 2 61 to 7 11 and for energy and material from 0 26 to 2 07

a disaggregated nonhomothetic modeling of responsiveness to residential time of use electricity rates in addition to quantifying the load impacts of time differentiated rates on aggregate peak off peak groupings a very finely disaggregated rotterdam demand system is described and estimated for explaining changes in detailed features of customers electricity load patterns this linear first difference formulation allows for nonhomotheticity permits an examination of load impacts on critical hours of the week and makes use of both control and time of use data moreover the proposed specification is parameter parsimonious an illustrative use of this model is portrayed through recent empirical evidence from a residential experiment of a northern winter peaking utility in ontario canada copyright 1992 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

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

price volatility in commodity markets with restricted participation abstract in commodity markets price volatility may rise significantly if the product granularity increases to gain insights into the underlying drivers we analyze price volatility based on the example of german electricity markets we develop a theoretical model to reproduce the price formation in the day ahead and intraday auction which are sequential short term electricity markets with 60 minute and 15 minute products as cross border trade is allowed in the day ahead but not in the intraday auction the model accounts for the impact of restricted market participation the theoretical model is then transferred into an empirical analysis to first validate the modeling approach and second to comparatively assess the impact of increasing product granularity and restricted market participation the empirical results indicate that the disproportional rise in quarter hourly price volatility is mainly triggered by limited market participation and not only by the high volatility of renewable supply and demand since restricted market participation refers to a lack of market coupling we derive a proxy for efficiency losses ranging from eur 55 million to eur 108 million that may be reduced if markets are coupled

oil shocks and the dynamics of substitution adjustments of industrial fuels in the us this paper investigates substitution among such alternate fuels as coal natural gas and electricity during the actual oil price increases of 1970s these substitution adjustments are assumed to be dynamic and modelled by a partial adjustment structure this dynamic structure is incorporated into a translog cost technology short and long run price elasticities are estimated by identifying inter and intra industry variations the models are estimated with a sample of 88 pooled observations including distillate and residual oils purchased by eleven 2 digit manufacturing groups 1974 81 models are estimates are strictly negative these own price elasticities range from long to short run 2 93 to 2 55 for distillate oil 0 698 to 1 53 for residual oil 0 533 to 0 011 for coal 0 235 to 0 213 for natural gas to 0 888 to 0 845 for electricity estimastes of both short run and long run cross price elasticities suggest that coal and electric energy are the prominent substitutes for fuel oils w

interest groups power relations and the configuration of value chains the case of biodiesel in india abstract production of biodiesel is technologically simple and the process of value addition from the cultivation of oilseeds to oil extraction and transesterification is straightforward there is however great variation in the socioeconomic configuration of this value chain in some regions of india the cultivation of tree borne oilseeds is organised in a social forestry mode in which poor landless people are paid to perform reforestation tasks and receive usufruct rights to collect oilseeds in other regions peasant cooperatives subcontracting arrangements between farmers and transnational corporations or large scale plantations are promoted there are also many different end uses and ways of processing biodiesel from village level projects for rural off grid electrification to large scale processing this article explains how five indian states have developed biodiesel policies that reflect different political goals and favour different constituencies reflecting the states specific socioeconomic structures power relations norms

the impact of heat waves on electricity spot markets abstract thermoelectric power plants depend on cooling water drawn from water bodies low river run off and or high water temperatures limit a plant s production capacity this problem may intensify with climate change our study quantifies the impact of forced capacity reductions on market prices production costs consumer and producer surplus as well as emissions by means of a bottom up power generation system model first we simulate the german electricity spot market during the heat wave of 2006 then we conduct a sensitivity study that accounts for future climatic and technological conditions we find an average price increase of 11 during the heat wave 2006 which is even more pronounced during times of peak demand production costs accumulate to an additional but moderate 16 m due to the price increase producers gain from the heat wave whereas consumers disproportionately bear the costs carbon emissions in the german electricity sector increase during the heat wave the price and cost effects are more pronounced and increase significantly if assumptions on heat sensitive demand hydropower capacity net exports and capacity reductions are tightened these are potential additional effects of climate change hence if mitigation fails or is postponed globally the impacts on the current energy system are very likely to rise increases in feed in from renewable resources and demand side management can counter the effects to a considerable degree countries with a shift toward a renewable energy supply can be expected to be much less susceptible to cooling water scarcity than those with a high share of nuclear and coal fired power plants

material power and normative conflict in global and local agrifood governance the lessons of golden rice in india abstract this special section aims to investigate the interaction of global and local forces in shaping agrifood governance it starts from the recognition that a multitude of actors and norms shape today s agrifood system the resulting opaqueness of the systems makes it extremely difficult to understand and explain processes and outcomes of agrifood governance given the sustainability challenges facing the agrifood system improvements in our understanding of what the interaction of global and local actors and norms means on the ground are urgently needed however the section therefore analyses agrifood governance in india across a selected group of cases it does so by employing a systematic framework emphasizing the material and ideational dimensions of power and their interaction the section has chosen india as the setting in which to analyze this interaction due to the crucial role the food demand and supply of this rising power plays in today s agrifood system this article provides the special sections analytical framework which uses the interplay of material and ideational dimensions of power as a focal lens in addition the article applies this framework to an empirical study of the political conflict around gmo foods in india specifically the case of golden rice

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

bi level approach to distribution network and renewable energy expansion planning considering demand response this paper presents a bi level model for distribution network and renewable energy expansion planning under a demand response dr framework the role of dr has recently attracted an increasing interest in power systems however previous models have not been completely adapted in order to treat dr on an equal footing the target of the distribution network and generation planner modeled through the upper level problem is to minimize generation and network investment cost while meeting the demand this upper level problem is constrained by the lower level problem stressing the importance of integrating dr to time varying prices into those investment models the objective function considered for the lower level is the minimization of overall payment faced by the consumers using the karush kuhn tucker complementarity constraints the proposed bi level model is recast as a mixed integer linear programming problem which is solvable using efficient off the shelf branch and cut solvers detailed results from an insular case study la graciosa canary islands spain are presented

assessing the life cycle environmental benefits of renewable distributed generation in a context of carbon taxes the case of the northeastern american market abstract distributed generation dg using renewable energy systems res can play an important role in reducing greenhouse gas ghg emissions given that dg could overlap with carbon tax implementation the objective of this work is to assess the implications of introducing different carbon tax levels from 0 to 100 us tonne of co 2 and to assess the ghg abatement performance when dg is applied to reach the paper objective different levels of carbon taxes were assessed by using the developed partial equilibrium model for the north eastern american electricity market the developed model is crucial to 1 estimate the increase of the hourly market price for different carbon taxes scenarios and 2 identify the hourly marginal electricity production technologies reducing its production as a consequence to dg results show that the increase of carbon taxes significantly decrease the environmental benefits as a consequence of dg when considering ghg emissions the 30 kw micro wind turbine efficiency gets from 6 3 to 3 8 kg co 2 eq kw h when carbon tax increases from 0 to 60 us tonne co 2 eq 60 reduction same trend is observed for other environmental impacts such as resource human health and ecosystem quality these results help in giving more insight on how two overlapping clean air policies interfere and how efficient they are in reducing ghg emissions at the same time

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

demand side management in china the context of china s power industry reform abstract the reform of china s power industry has lasted for decades while the implementation of demand side management dsm in china is still in its infancy in this paper we present a comprehensive study of the dsm and demand response dr programs in china under the context of china s power industry reform we first present a brief introduction of the background including the socio economic status and geographical location of china the energy policy of china china s power industry the smart grids and microgrid in china and the reform of china s power industry then based on the introduction of dsm and the analysis of dsm practices in some countries we discuss the development status of dsm and the reform of electricity pricing in china finally the main challenges in five aspects for the future development of dsm programs in china are proposed and discussed these challenges include customer understanding and participation advanced metering infrastructure ami and information and communication technology ict pricing mechanisms and optimal scheduling big data analytics based decision support as well as government regulations and market policies

environmentally damaging electricity trade electricity trade across regions is often considered welfare enhancing we show in this paper that this could be reconsidered if environmental externalities are taken into account we consider two cases where trade is beneficial before accounting for environmental damages first when two regions with the same technology display some demand heterogeneity second when one region endowed with hydropower arbitrages with its thermal neighbor our results show that under reasonable demand and supply elasticities trade comes with an additional environmental cost this calls for integrating environmental externalities into market reforms when redesigning the electricity sector two north american applications illustrate our results trade between pennsylvania and new york and trade between hydro rich quebec and new york

dynamic translog and linear logit models a factor demand analysis of interfuel substitution in us industrial energy demand abstract we compare and contrast two popular dynamic flexible functional forms for cost functions the translog and the logit j bus econ stat 8 1990 347 353 using data on us industrial energy demand from 1960 to 1992 which has been analysed by previous studies energy econ 11 1989 89 94 appl econ 21 1989 931 945 j bus econ stat 13 1995 459 465 we show the crucial role played by different dynamic formulations of the translog in this analysis of factor demands with respect to rates of dynamic adjustment and substitution possibilities we conclude that the poor performance of the dynamic translog relative to the dynamic logit cannot be explained solely by dynamic model mis specification or the inclusion of price unresponsive non energy fuel use data our most robust empirical result is that coal and oil are substitutes

the response of small and medium size business customers to time of use tou electricity rates in israel this paper reports on the methodology data and results of the israeli time of use tou electricity pricing experiment in the industrial commercial sector we concentrate on the estimation of the demand functions for electricity under tou and the net welfare gains which result from applying tou rates to small and medium size business customers in israel this experiment which was preceded by a 15 month load research study to allow an optimal sample design was concluded in june 1992 the analysis yielded four major conclusions 1 the estimated gains of small and medium size customers in israel from tou rates are sufficient to justify investment in tou metering technology 2 there have been small but noticeable shifts of electricity from the peak to the mid peak if relevant and to the off peak periods during all seasons of the year and particularly during the winter 3 the structure and number of labour shifts during the day and weather are important factors in determining the response of business customers to the tou rates 4 price elasticities vary substantially over the seasons and across sic groups they do not vary with customer size

electricity prices and public ownership evidence from the eu15 over thirty years abstract this paper studies the impact of corporate ownership on residential net of tax electricity prices when the ownership effect is separated from the liberalisation effect and from other drivers of change after a discussion of a simple conceptual model and of earlier literature we use iea and oecd data for the eu15 over nearly three decades panel econometrics suggests that after controlling for other factors public ownership is associated with lower residential net of tax electricity prices in western europe the impact of liberalisation on prices is smaller and more uncertain

estimation of japanese price elasticities of residential electricity demand 1990 2007 abstract this paper estimates elasticities of japanese residential price electricity from 1990 to 2007 the first difference generalized method of moment estimator is employed to avoid dynamic panel bias which is not considered in most previous studies the results show that while short run elasticities are similar to those in previous studies long run elasticities are significantly lower in our study we also find that the price elasticity of japanese residential electricity consumption is notably affected by income inequality and severe weather based on these results we provide some insights to tailor environmental taxation so as to effectively attain the kyoto protocol

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

biodiesel value chain and access to energy in ethiopia policies and business prospects abstract similar to many net oil importing sub sahara african countries ethiopia s economy is rural and as it stands today it is far from being a fossil fuel based economy instead the economy is largely powered by traditional burning of solid biomass despite its small share in the overall energy supply 7 imported fuel absorbs half of ethiopia s foreign currency earnings the common justifications behind the development of biofuels such as energy source diversification foreign currency saving rural poverty alleviation through employment and technology transfers were all appealing for ethiopian policy advisers in 2007 mostly influenced by the global discourse ethiopia launched a biofuel expansion strategy and a massive ad hoc investment promotion of two biodiesel crops castor and jatropha in this paper we synthesize the various biodiesel development initiatives and modes of production and point out at the gaps in policy formulation and project implementation evaluating the prospect and constraints for biodiesel production in ethiopia we conclude that most of the prerequisites for a viable biodiesel industry still need to be met we identify key areas and priorities to further strengthen the development of the biodiesel sector