parents discount rates for child quality contemporary discussions of economic growth make human capital or knowledge accumulation its primary engine 25 human capital as the lead component of the stock of wealth defines a developed economy becker and murphy 4 show that human capital both increases and is increased by the scope of the market its rate of return rises with the size of its stock 5 human capital also plays significant roles in models of human fertility choice 40 population and environmental degradation 11 34 capital mobility 3 and endogenous technological progress 33 a substantial portion of an adult s human capital is accumulated during childhood children as children however cannot independently contract for the resources required to support investments in this human capital though nearly every society grants parents wide discretion about the nurture they provide their children little is understood about what motivates investment by one generation in another the relative importance of different investment modes or the discount rates which parents apply whatever the motivation and the mode because of the long time span between birth and adulthood parents discount rates potentially exert great leverage upon the investment decisions they make for their children knowledge of these discount rates is a prerequisite to acquiring an improved understanding of the internal decision processes of the household a collective decision unit which economics mostly treats as a black box 1 important policy questions as well as scientific accuracy and logical consistency demand knowledge of the discount rates parents apply to investments in their children healthier better educated and wealthier children have a better chance in life but there is no evident reason to suppose that intrafamily discount rates are socially optimal 2 many of the private reactions and behaviors which reinforce or temper the intended effects of public policies are internal to the household when these intended effects have a substantial temporal dimension parental discount rates will be influential for example increased public investments in children can be neutralized

understanding heterogeneous preferences in random utility models a latent class approach a finite mixture approach toconditional logit models is developed in whichlatent classes are used to promoteunderstanding of systematic heterogeneity the model is applied to wilderness recreationin which a branded choice experiment involvingchoice of one park from a demand system wasadministered to a sample of recreationists the basis of membership in the classes orsegments in the sample involved attitudinalmeasures of motivations for taking a trip aswell as their stated preferences overwilderness park attributes the econometricanalysis suggested that four classes of peopleexist in the sample using the model toexamine welfare measures of some hypotheticalpolicy changes identified markedly differentwelfare effects than the standard singlesegment model and provided insight into thedifferential impact of alternative policies

measuring the financial impact of demand response for electricity retailers abstract due to the integration of intermittent resources of power generation such as wind and solar the amount of supplied electricity will exhibit unprecedented fluctuations electricity retailers can partially meet the challenge of matching demand and volatile supply by shifting power demand according to the fluctuating supply side the necessary technology infrastructure such as advanced metering infrastructures for this so called demand response dr has advanced however little is known about the economic dimension and further effort is strongly needed to realistically quantify the financial impact to succeed in this goal we derive an optimization problem that minimizes procurement costs of an electricity retailer in order to control demand response usage the evaluation with historic data shows that cost volatility can be reduced by 7 74 peak costs drop by 14 35 and expenditures of retailers can be significantly decreased by 3 52

efficient methods of measuring welfare change and compensated income in terms of ordinary demand functions a utility maximizing consumer with a completely known system of ordinary demand functions q h p c is considered let p qo and p q be two arbitrary equilibrium situations the problem is to evaluate in which of the situations the utility is higher without knowing the utility function revealed preference theory tells that the ordinary demand functions which are in principle observable contain enough information to solve the problem remaining difficulties are therefore mainly computational we present how the compensated income c i c p qo and the compensated demand h p cl1 are calculated with arbitrary accuracy using only the ordinary demand system our two efficient algorithms also have interesting interpretations in terms of index numbers and consumer surplus measures

residential peak electricity demand response highlights of some behavioural issues electricity demand response refers to consumer actions that change the utility load profile in a way that reduces costs or improves grid security the focus of demand response has mainly been on the commercial and big industrial sectors because of the large demand reduction that they can offer to the utility grid operators utilities are showing increasing interest in residential demand response rdr rdr can be treated as an energy resource which can be assessed and commercially developed however there are still some issues that remain to be addressed for rdr to be successful these include price unresponsiveness of some residential consumers equity issues and high cost of the metering infrastructure the aim of this paper is to investigate and present some of the challenges in achieving effective voluntary demand reduction based on a review of residential demand response literature as well as the general residential energy use behaviour literature the authors propose the use of a hybrid engineering approach using social psychology and economic behaviour models to overcome these challenges and realize the benefits of supply security and cost management

electrical network capacity support from demand side response techno economic assessment of potential business cases for small commercial and residential end users demand side response dsr is recognised for its potential to bring economic benefits to various electricity sector actors such as energy retailers transmission system operators tsos and distribution network operators dnos however most dsr is provided by large industrial and commercial consumers and little research has been directed to the quantification of the value that small below 100 kw commercial and residential end users could accrue by providing dsr services in particular suitable models and studies are needed to quantify potential business cases for dsr from small commercial and residential end users such models and studies should consider the technical and physical characteristics of the power system and demand resources together with the economic conditions of the power market in addition the majority of research focuses on provision of energy arbitrage or ancillary services with very little attention to dsr services for network capacity support accordingly this paper presents comprehensive techno economic methodologies for the quantification of three capacity based business cases for dsr from small commercial and residential end users case study results applied to a uk context indicate that if the appropriate regulatory framework is put in place services for capacity support to both dnos and tsos can result into potentially attractive business cases for dsr from small end users with minimum impact on their comfort level

separability partial demand systems and consumer s surplus measures abstract in practice complete demand systems are not estimated rather either an incomplete demand system is estimated or separability is invoked and a partial demand system is estimated this paper considers the relationship between the conventional compensating variation equivalent variation and the corresponding welfare measure that can be derived from a partial demand system and the current budget allocation to the separable group even assuming the separability assumption invoked is appropriate these partial measures provide in general only a limited amount of information about the compensating variation and no information about the equivalent variation great care is therefore needed when using partial welfare measures to evaluate policy

welfare analysis and intertemporal substitution abstract this paper explores the structure of welfare comparisons when direct utility is weakly separable over time the lifetime welfare effect of a reform is then the sum of atemporal hicksian variations and intertemporal variations reflecting intertemporal substitution these latter are shown to be of only second order importance in lifetime welfare comparisons approximations to the intertemporal variations when preferences are intertemporally additive are derived pointing to the welfare significance in this context of not only the intertemporal elasticity of substitution but also within period income effects numerical examples illustrate the analysis and suggest possible orders of magnitude

difficulty is critical the importance of social factors in modeling diffusion of green products and practices abstract despite the very positive as measured by market surveys attitude towards eco innovations and sustainability in general the actual market penetration of green products and practices generally falls behind the expectations in this paper we argue that considering difficulty of engagement as used in the campbell paradigm is of critical importance when modeling diffusion of eco innovations such a notion of difficulty possesses three desired properties i parsimony it is represented by a single value ii interpretability it can be regarded as an estimator of the otherwise complex notion of behavioral cost and iii applicability it can be easily measured through market surveys in an extensive simulation and analytical study involving empirically measured difficulty and an agent based model spanned on different social network structures we show that innovation adoption may exhibit abrupt changes in market penetration as a result of even small changes in difficulty the latter may be of particular interest to policy makers who have to make strategic decisions when introducing socially but not necessarily individually desired products and practices like dynamic or green electricity tariffs

wilderness development decisions and the krutilla fisher model the case of scotland s flow country this paper reports some results from an empirical study of wilderness management in the flow country of northern scotland the flow country is an area of extensive blanket bog characterized by extensive populations of internationally rare breeding birds and by a very distinctive landscape the principle threat to the area at present comes from large scale afforestation this activity is subsidized by the state through the forestry commission and yet seems likely to create irreversible external cost flows the economic efficiency of continued planting in the area is tested for using the krutilla fisher model preservation benefits accruing to both users and non users are estimated using contingent valuation

resolving conflicting ecological and economic interests in the korean dmz a valuation based approach abstract the demilitarized zone dmz between south and north korea has served as a sanctuary to diverse biological resources since the korean war ceased in 1953 during winter season flocks of cranes grus spp converge in the rice field along the dmz all other refuges for cranes that winter in south korea were destroyed due mainly to wilful industrial expansion in the past few decades the presence of cranes in this region is attributed to the residual rice grains left behind by harvesters this winter habitat is however very fragile for a number of reasons first the local formers regard the cranes as a potential threat in their livelihood rather than as an ecological member sharing the same ecosystem resources second exercising property rights the landholders have actively advocated an industrial development program third it is difficult to legally impose the notion of wildlife preservation even if there is a perception among the general public that the crane is worth preserving this study sought to formulate a policy measure to guide the local egalitarian farm economy to ecological economy in which farmers and cranes are the harmonized co users of the ecosystem resources valuation based approach is employed in our study to show that bio diversity is not in conflict with local economic well being but in fact essential to it

dynamic inconsistency in valuing environmental goods abstract intertemporal tradeoffs continue to intrigue both academics and policy makers this paper explores patterns of dynamic inconsistency in valuing environmental goods we develop a model that predicts an individual will value extended access to an environmental good less than avoiding delayed access if time and money are complementary this value disparity results in a low marginal rate of time preference for avoiding delayed access and a high rate for acquiring extended access using the contingent valuation method we find behavior partially consistent with predictions marginal rates of time preference are highly situation and individual specific

demand response in china regulations pilot projects and recommendations a review abstract with the acceleration of the process of industrialization and urbanization energy shortage and environmental protection have become the new problems faced by chinese economic development the electric power industry is the pillar industry of chinese economic development while the economic development puts forward higher requirements for electricity companies power enterprises should not only focus on the quantity and quality of the power generation side but also pay more attention to demand side management demand side management dsm receives more and more attention in china in recent years as one of the solutions of dsm demand response plays an important role in ensuring the stable operation of electric network and controlling the rise of electricity tariff at first this article describes the status quo of the demand response implementation related technologies and pilot projects then it analyzes chinese demand response technology frame from the grid side the communication side and the user side it also puts forward suggestions for the implementing progress and specific procedures of orderly electricity consumption at last this paper points out the problems in the technology and policy of electricity demand response implementation in china by the analysis of the demand response status quo and the implementing comparison between china and foreign countries as well as gives recommendations for future development

review of dynamic pricing programs in the u s and europe status quo and policy recommendations with the development of demand response dr technologies and increasing electricity demand dynamic pricing has been a popular topic in many countries this paper evaluates various dynamic pricing programs in the u s and europe and provides insights into various aspects including risks and rewards enabling technologies lower income groups and customer types surrounding programs such as time of use tou critical peak pricing cpp peak time rebates ptr and real time pricing rtp we conclude this paper with three main findings 1 policy coordination in promoting dynamic pricing programs between federal and state regulatory agencies is very critical 2 customer engagement is very important and can be enhanced via more accessible educational programs and policy adjustments and 3 more investment in related r d is required to construct a commonly accepted methodology for measuring the effectiveness of dynamic pricing programs

compensating variation consumer s surplus and welfare the compensating variation was defined by j r hicks 1942 as the amount one would have to deduct from a person s income to make him just as well off after a change in prices and income as he had been in the initial situation if the compensating variation is positive the individual is better off under the new situation since the compensating variation furnishes a uniquely defined numerical cardinal indicator of welfare improvement it provides an implicit ranking of alternative prospective situations not only relative to the initial situation but also relative to each other in practice this appears to be how this and other tools of cost benefit analysis are actually used one is interested in knowing not only whether a particular bridge or a particular excise tax will lead to an improvement in welfare but which out of a set of alternative bridges or alternative tax systems will improve welfare the most 1 in this paper we analyze conditions under which the compensating variation can be validly used in this generalized sense these turn out to be precisely the same as conditions previously derived see our 1976 paper for the valid use of consumer s surplus as a welfare measure in our final section we analyze the problem of deriving the generalized equivalent and compensating variations either exactly or approximately from observable demand functions by means of generalizations of or alternatives to consumer s surplus

environmental attitudes as wtp predictors a case study involving endangered species this paper investigates environmental attitudes as significant motives for the behavioral intention of willingness to pay wtp involving endangered species in a choice modeling context and examines the underlying causal mechanism pro environmental attitudes are measured using the new ecological paradigm nep scale although the empirical evidence of this paper supports a significant attitude wtp association the causal mechanism is different from previous theorizing when observed at the parameter level using random parameter logit models the significant causal linkages are evident with both the target good and the payment variable the findings of this paper not only support direct and indirect impacts of general attitudes on wtp but also provide novel findings about the causal mechanism for a significant attitude wtp relationship at the parameter level in a non western case study the impact of past visiting experience was also significant on the relationship undermining the impact of attitudes on wtp

real time pricing of electricity for residential customers econometric analysis of an experiment under real time pricing a network operator sets the price level for a period according to a predefined scheme which depends on the state of demand and costs and announces this price shortly before the period begins the french state owned electric utility experimented with a six rate real time tariff which divides the year into three types of days and each day into two periods the number of days of each type is known in advance to the consumer but the type of any particular day is announced only at the end of the preceding day in order to evaluate the responsiveness of customers to this pricing option we estimate the frisch demand functions for daily electricity consumption derived from a simple dynamic model based on an additively separable intertemporal utility function as the marginal utility of expenditure which enters the frisch demands follows a known stochastic process the econometric model has a state space representation we can then apply the kalman filter to compute the log likelihood function associated with each consumer s time series of electricity consumption the main result of the analysis is that the real time tariff improves the welfare of a majority of consumers participating in the experiment

do environmental benefits matter evidence from a choice experiment among house owners in germany residential buildings strongly contribute to global co2 emissions due to the high energy demand for electricity and heating particularly in industrialised countries within the eu decentralised heat generation is of particular relevance for future climate policy as its emissions are not covered by the eu ets we conducted a choice experiment concerning energy retrofits for existing houses in germany in the experiment the approximately 400 sampled house owners could either choose a modern heating system or an improved thermal insulation for their home we used standard and mixed logit specifications to analyse the choice data we found environmental benefits to have a significant impact on choices of heating systems however they played no role in terms of insulation choices based on the estimated mixed logit model we further obtained willingness to pay wtp measures for co2 savings

modeling household energy expenditure in the united states abstract energy consumption is one of the main source of air pollution greenhouse gas emission and global warming reducing household energy consumption is a key goal of policymakers we develop statistical models using socio economics and demographics building characteristics location temperature and energy prices to estimate household energy expenditure in the u s we use household energy expenditure for more than 560 000 households in the u s from 2010 to 2012 we first employ multivariate regression models to investigate and identify the impacts of the explanatory variables on household energy expenditure next we use principal component analysis pca to convert correlated co linear explanatory variables into orthogonal components and estimate household energy expenditure by principal component regression we find newer attached buildings to be effective in decreasing household energy expenditure particularly among educated people in metropolitan areas with sufficient data availability our model could be used by state regional or even city level policymakers and planners to optimize their infrastructural investments

expected consumer s surplus and the welfare effects of price stabilization suppose a consumer faces a price which is uncertain ex ante a question which often arises is whether the consumer would benefit from a stabilization policy under which the price would then be fixed and known with certainty many authors have addressed this question by calculating the expected compensating variation of the price change others have used expected marshallian consumer s surplus often with the explanation that it is a good approximation to expected compensating variation 2 an important unresolved issue however is whether expected compensating variation does in fact provide a valid ranking of stochastic prices against stabilized prices i e a ranking in agreement with that given by expected utility in section 2 we demonstrate that expected compensating variation is not in general a valid utility indicator in essence while utility comparisons under uncertainty require the use of the cardinal properties of von neumannmorgenstern utility functions the expected surplus measures depend only on ordinal preference rankings expected compensating variation then is completely insensitive to and cannot reflect the precise factor of interest in suchstudies the consumer s attitudes toward risk we then derive a set of restrictions on the utility function which are necessary in order for expected compensating variation to be a valid measure we see that price stabilization policies can only be evaluated with compensating variation if consumer preferences are assumed to satisfy quite stringent requirements this is in constrast to the familiar certainty case in which compensating variation always provides correct rankings

peak electricity demand and social practice theories reframing the role of change agents in the energy sector abstract demand managers currently draw on a limited range of psychology and economic theories in order to shift and shed peak electricity demand these theories place individual consumers and their attitudes behaviours and choices at the centre of the problem this paper reframes the issue of peak electricity demand using theories of social practices contending that the problem is one of transforming technologically mediated social practices it reflects on how this body of theory repositions and refocuses the roles and practices of professions charged with the responsibility and agency for affecting and managing energy demand the paper identifies three areas where demand managers could refocus their attention i enabling co management relationships with consumers ii working beyond their siloed roles with a broader range of human and non human actors and iii promoting new practice needs and expectations it concludes by critically reflecting on the limited agency attributed to change agents such as demand managers in dominant understandings of change instead the paper proposes the need to identify and establish a new group of change agents who are actively but often unwittingly involved in reconfiguring the elements of problematic peaky practices

on the costs of food price fluctuations in low income countries abstract conventional welfare measures of the costs of food price fluctuations in low income countries are extended to allow for both economic growth and food security effects the analysis reveals that growth and food security effects may dominate more conventional welfare costs of food price fluctuations although estimating the empirical magnitude of the effects is hampered by the lack of consensus on the extent to which food price fluctuations actually reduce economic growth and food security even if the welfare costs of food price fluctuations are high there are many challenges to the design and successful implementation of price stabilization schemes

reducing household electricity consumption during evening peak demand times evidence from a field experiment abstract peak demand reduction is a key element in demand management programs targeting the stabilization of the electricity grid this study examines a field experiment in austria that investigated rebates and non monetary incentives to reduce household electricity consumption during evening peak demand times the experiment was conducted on 1 257 austrian households using a smart phone application and smart meter data recorded in 15 minutes intervals our results show the strongest behavioral change in households who received the monetary incentive with only weak evidence of changes in the non monetary treatment groups households reduced their consumption in response to the monetary incentive but were then subject to a substantial rebound effect whereby their electricity consumption increased overall

consumption inequality and income uncertainty this paper places the debate over using consumption or income in studies of inequality growth in a formal intertemporal setting it highlights the importance of permanent and transitory income uncertainty in the evaluation of growth in consumption inequality we derive conditions under which the growth of variances and covariances of income and consumption can be used to separately identify the growth in the variance of permanent and transitory income shocks household data from britain for the period 1968 1992 are used to show a strong growth in transitory inequality toward the end of this period while younger cohorts are shown to face significantly higher levels of permanent inequality

consumer s surplus and welfare change in a simple dynamic model la somme escomptee d equivalents instantanes ou les variations compensees n est jamais un indicateur du bien etre economique exact pour un consommateur dont les preferences sont representees par une fonction utilite inter temporelle croissant

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

a review on implementation strategies for demand side management dsm in kuwait through incentive based demand response programs abstract since the export of fossil fuel is the backbone of kuwait s economy the enormous upsurge in the internal fuel consumption creates anguish and bane at present 46 of the internal fossil fuel consumption is used for electricity generation the increase in fuel consumption hurled kuwait as one of the highest per capita electricity consuming as well as co 2 emitting countries in the world consumers pay only 6 of the production cost of electricity the government subsidizes the balance which is one of the major reasons behind the high electricity consumption in the country any reduction in electricity consumption can positively reflect on both per capita electricity consumption and co 2 emission additionally the saved fossil fuel can be exported to generate revenue to support the country s economy worldwide demand side management dsm is considered as an effective tool to curtail electricity demand the objective of this review paper is to explore the available literature to find out the most suitable dsm measures to control the growth of per capita electricity consumption in kuwait after conducting a detailed strengths weaknesses opportunities and threats swot analysis it is concluded that incentive based demand response programs can be considered as one of the most suitable solutions to address this problem

valuing environmental goods and services using benefit transfer the state of the art and science abstract the purpose of this special issue of ecological economics is to elucidate the state of the art and science of environmental benefit transfer and to assist in the design and reporting of future benefit estimation research compiling the insights of thirty two international experts from seven countries the special issue reviews the latest developments in transfer techniques as well as ongoing efforts to standardize and validate them taken together the papers in this special issue provide fresh answers to some long standing questions offer original research insights on state of the art issues and identify fruitful areas for future research this introductory paper provides background and context for the issues addressed by the contributing authors its purpose is to place the interdisciplinary thinking contained here in a comparative context highlighting the need for integration and collaboration to maintain the momentum that has propelled environmental benefit transfer into a widely used approach for estimating the economic value of environmental goods and services worldwide

price environment and security exploring multi modal motivation in voluntary residential peak demand response peak demand on electricity grids is a growing problem that increases costs and risks to supply security residential sector loads often contribute significantly to seasonal and daily peak demand demand response projects aim to manage peak demand by applying price signals and automated load shedding technologies this research investigates voluntary load shedding in response to information about the security of supply the emission profile and the cost of meeting critical peak demand in the customers network customer willingness to change behaviour in response to this information was explored through mail back survey the diversified demand modelling method was used along with energy audit data to estimate the potential peak load reduction resulting from the voluntary demand response a case study was conducted in a suburb of christchurch new zealand where electricity is the main source for water and space heating on this network all water heating cylinders have ripple control technology and about 50 of the households subscribe to differential day night pricing plan the survey results show that the sensitivity to supply security is on par with price with the emission sensitivity being slightly weaker the modelling results show potential 10 reduction in critical peak load for aggregate voluntary demand response

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

rationality in psychology and economics the task i shall undertake here is to compare and contrast the concepts of rationality that are prevalent in psychology and economics respectively economics has almost uniformly treated human behavior as rational psychology on the other hand has always been concerned with both the irrational and the rational aspects of behavior in this paper irrationality will be mentioned only obliquely my concern is with rationality economics sometimes uses the term irrationality rather broadly e g becker 1962 and the term rationality correspondingly narrowly so as to exclude from the domain of the rational many phenomena that psychology would include in it for my purposes of comparison i will have to use the broader conception of psychology one point should be set immediately outside dispute everyone agrees that people have reasons for what they do they have motivations and they use reason well or badly to respond to these motivations and reach their goals even much or most of the behavior that is called abnormal involves the exercise of thought and reason freud was most insistent that there is method in madness that neuroses and psychoses were patients solutions not very satisfactory solutions in the long run for the problems that troubled them the assumption that actors maximize subjective expected utility economic rationality supplies only a small part of the premises in economic reasoning and that often not the essential part the remainder of the premises are auxiliary empirical assumptions about actors utilities beliefs expectations and the like making these assumptions correctly requires an empirically founded theory of choice that specifies what information decision makers use and how they actually process it this behavioral empirical base is largely lacking in contemporary economic analysis and supplying it is essential for enhancing the explanatory and predictive power of economics

categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions abstract in a smart er grid context the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end user concerning electricity management however the residential end user will not be always available to manage energy resources and decide based on price signals and preferences needs the best response actions to implement or the best usage of the electricity produced locally therefore energy management systems are required to monitor consumption generation storage and to make the best decisions according to input signals and the user s needs and preferences the design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads according to availability typical usage patterns working cycles and technical constraints automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics in this paper a characterization of household electricity consumption is presented and an operational categorization of end use loads is proposed the existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented the results obtained show the potential savings for the end user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley

residential electricity pricing in china the context of price based demand response abstract as a secondary energy electricity is an important channel between original energy and energy consumers electricity price is a critical factor for the interests of all involvers in the electric power market it also plays an important role for the sustainable development of energy and environment smart grid is a new conception proposed in recent years to improve the intelligent level and increase the efficiency of electric power system operation smart grid combines and integrates information technology communication technology and intelligent control technology with tradition power system to achieve the many objectives of smart grid demand response dr as an effective technique of demand side management dsm refers to the changes in electricity consumption behavior of users in response to the dynamic price or incentive rewards price based demand response pbdr is one of the two major dr programs in this paper we first introduce the pricing theories in economics the pricing of electricity and the development of electricity pricing in china then we present a detailed discussion on the pbdr strategies in the dsm of smart grid also the research status of pbdr is reviewed finally it gives a summary of the whole paper in the last section

designing more cost reflective electricity network tariffs with demand charges abstract there is growing policy and regulatory interest in better aligning electricity tariffs with the cost of providing network services to customers to provide a better price signal for economically efficient use of the network and reduce cross subsidies between different customers given that network costs are significantly driven by peak capacity requirements many proposals for more cost reflective tariffs include a demand capacity component however there are many complexities in the implementation of such tariffs this paper first presents a method to visually assess how cost reflective a particular demand charge network tariffs is we apply it to a typical demand charge network tariff proposal within the australian national electricity market and actual consumption data of 3876 sydney households and find it to have low cost reflectivity in terms of aligning customer bills with their contribution towards network peak demand such misalignment has potentially significant adverse impacts on the economic efficiency of such tariffs an issue that does not appear to have received sufficient policy attention we then use this assessment method to demonstrate how a demand charge tariff structure can be adjusted to make it significantly more cost reflective this method can be applied to any tariff that includes a capacity based component

evaluating the atkinson index of household energy consumption in china abstract improving equality and efficiency of household energy distribution is the primary concern of china s policy makers in their effort to reform the energy pricing system in this paper we use atkinson index as an analytical tool to quantitatively and systematically evaluate the equality and efficiency of household energy distribution the result shows that the atkinson index of electricity expenditure is much smaller than that of transportation expenditure which indicates that transportation expenditure responds better to income differences furthermore a geographical distribution analysis indicates that households in middle china suffer greater inequality in energy distribution than those in eastern and western china in view of the oncoming energy pricing reform in china we reevaluate the atkinson index under the new pricing scenarios for electricity and petroleum products compared to the current household energy pricing mechanism the simulated new policies generate more allocative efficiency of household energy and ensure more equality of energy consumption for low income households on this account we suggest that geographical differences and equality in energy distribution be duly addressed in reforming energy policies in china

social implications of residential demand response in cool temperate climates residential electrical demand response dr offers the prospect of reducing the environmental impact of electricity use and also the supply costs however the relatively small loads and numerous actors imply a large effort response ratio residential dr may be an essential part of future smart grids but how viable is it in the short to medium term this paper reviews some dr concepts then evaluates the propositions that households in cool temperate climates will be in a position to contribute to grid flexibility within the next decade and that that they will allow some automated load control examples of demand response from around the world are discussed in order to assess the main considerations for cool climates different tariff types and forms of control are assessed in terms of what is being asked of electricity users with a focus on real time pricing and direct load control in energy systems with increasingly distributed resources the literature points to the significance of thermal loads supply mix demand side infrastructure market regulation and the framing of risks and opportunities associated with dr in concentrating on social aspects of residential demand response the paper complements the body of work on technical and economic potential

economic valuation of cultural heritage sites a choice modeling approach abstract despite growing attention by researchers and policy makers on the economic value of cultural heritage sites debate surrounds the use of adequate methods although choice modeling techniques have been applied widely in the environmental economics field their application in tourism and cultural economics has been much more limited this paper contributes to the knowledge on the economic valuation of cultural heritage sites through a national choice modeling study of old parliament house australia the study sought to value marginal changes in several attributes of this site and revealed that only some of them are valued positively extending the period of temporary exhibitions hosting various events and having shop and cafe and fine dining advantages of using a mixed logit model are provided and managerial and policy implications are discussed

exploring welfare implications of resource equivalency analysis in natural resource damage assessments abstract resource equivalency analysis rea has become the dominant method for calculating natural resource damages for biological injuries from pollution incidents this methodology compares resources lost as a result of an incident to benefits that can be gained from a habitat or wildlife restoration project compensation is evaluated in terms of resource services instead of market currency recently this approach has been questioned regarding its ability to provide adequate compensation based on economic welfare principles the following paper examines these critiques and develops a model to quantify the welfare implications of using rea when some of its implicit assumptions are violated we focus on the situation where compensatory restoration projects provide services that are comparable to those lost as a result of an incident we examine simulation scenarios where the public has heterogeneous preferences for resources and where resource values change over time using the hicks kaldor criterion we find that the traditional rea provides an acceptable approximation of aggregate compensation for a reasonably wide range of economic and biological parameter combinations